Next Article in Journal
Extradural Primary Malignant Spinal Tumors in a Population Younger than 25 Years: An Ambispective International Multicenter Study on Onco-Surgical Outcomes
Next Article in Special Issue
Systemic Inflammation and Lung Cancer: Is It a Real Paradigm? Prognostic Value of Inflammatory Indexes in Patients with Resected Non-Small-Cell Lung Cancer
Previous Article in Journal
A Series-Based Deep Learning Approach to Lung Nodule Image Classification
Previous Article in Special Issue
Different Tyrosine Kinase Inhibitors Used in Treating EGFR-Mutant Pulmonary Adenocarcinoma with Brain Metastasis and Intracranial Intervention Have No Impact on Clinical Outcomes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Advances in the Management of Central Nervous System Metastases in Non-Small Cell Lung Cancer

1
Department of Oncology, Montefiore Medical Center, Albert Einstein College of Medicine, Bronx, NY 10461, USA
2
Albert Einstein College of Medicine, Bronx, NY 10461, USA
*
Author to whom correspondence should be addressed.
Cancers 2023, 15(3), 844; https://doi.org/10.3390/cancers15030844
Submission received: 31 December 2022 / Revised: 24 January 2023 / Accepted: 28 January 2023 / Published: 30 January 2023

Abstract

:

Simple Summary

Central nervous system (CNS) metastases are common and challenging to manage among patients with non-small cell lung cancer (NSCLC). Here we provide an overview on lung cancer CNS metastases, including our evolving understanding of the genetic landscape, treatment updates, and future directions.

Abstract

Central nervous system (CNS) metastases are common among patients with non-small cell lung cancer (NSCLC). While the presence of brain metastases has historically portended poor prognosis, recent advances in local and systemic therapies have greatly improved outcomes for NSCLC patients with CNS involvement. Stereotactic radiology surgery (SRS) has emerged as an effective radiotherapy technique with fewer toxicities compared to whole brain radiotherapy (WBRT). Furthermore, multi-generation tyrosine kinase inhibitors (TKIs) with CNS overall response rates (ORR) of up to 70–80% are now an accepted first-line approach for a subset of advanced NSCLC patients with targetable molecular alterations. In addition, while the CNS was once considered an immunologic sanctuary site, growing evidence shows that immune checkpoint inhibitors (ICIs) can induce durable responses in brain metastases as well. Ongoing efforts to optimize CNS metastases management are necessary to refine multimodal treatment approaches and develop new therapeutics with better CNS penetrance.

1. Introduction

Among patients with malignancy, lung cancer represents the most common primary tumor associated with the central nervous system (CNS) metastases, accounting for up to 50% of the cases [1]. Roughly 10% of patients newly diagnosed with lung cancer have existing CNS involvement, and 20–40% will go on to develop brain metastases [2]. The incidence of CNS metastases is higher still among patients with non-small cell lung cancer (NSCLC) and driver oncogenes, especially EGFR mutations and ALK rearrangements, in whom up to 60% will develop brain metastases [3,4,5]. Given such a high prevalence of CNS involvement among NSCLC patients, it is of paramount importance to optimize treatment strategies for brain metastases. Both local therapies such as radiotherapy and surgery and systemic treatments with CNS activity including targeted therapy and immunotherapy are currently established components of management. The objective of this article is to review recent advances in the management of brain metastases including novel radiotherapy techniques, targeted agents with demonstrated CNS activity, evidence for immune checkpoint inhibitors, and strategies for treating leptomeningeal disease. Given the complex nature of managing CNS metastases in NSCLC, often requiring multidisciplinary input, we also propose here a simplified decision tree that may be of use to a treating clinician (Figure 1).

2. Local Treatments

2.1. Radiotherapy

In the past, whole brain radiotherapy (WBRT) was the standard radiation approach for the treatment of brain metastases. Due to toxicities associated with WBRT, especially cognitive ones, treatment has increasingly shifted to utilizing stereotactic radiosurgery (SRS) instead. Both radiation options have several important differences in administration, side effects, and efficacy.
WBRT typically involved the administration of 20–37.5 Gy delivered over 5–15 fractions. Although WBRT improved regional CNS control, it did not prolong overall survival (OS) and was associated with neurocognitive decline compared to SRS [6,7,8]. In addition, the QUARTZ study found that in patients with NSCLC and CNS involvement with Karnofsky performance status less than 70 who were not candidates for SBRT or surgery, observation alone did not show any differences in OS or quality of life (QOL) compared to WBRT suggesting that supportive care alone may be appropriate in patients with poor baseline prognoses [9]. One study comparing SRS alone versus SRS plus WBRT showed that most patients who received WBRT develop measurable cognitive deterioration as soon as three months following completion of the therapy, a rate significantly higher than those who received SRS alone (91.7% versus 63.5%, respectively, with a 28.2% difference (90% CI, 14.4 to 41.9%, p < 0.001)) [6]. To address the cognitive toxicities of WBRT, the NRG CG001 trial studied the application of hippocampal-avoidance (HA) WBRT plus the N-methyl-D-aspartate receptor antagonist memantine, which was associated with lower rates of cognitive failure compared to standard WBRT plus memantine (adjusted HR, 0.74, 95% CI, 0.58 to 0.95, p = 0.02) [10].
SRS is typically administered in 1–5 fractions and has been shown to achieve up to 80–90% local control rates comparable to WBRT for up to 15 brain metastases [11]. Most trials comparing SRS to WBRT, however, included patients with no more than four brain metastases [12]. Compared to SRS plus WBRT, SRS alone has similar outcomes in terms of OS with improved QOL and fewer cognitive adverse effects [13].
Although SRS has an improved tolerability profile and excellent local control rates, radiation necrosis is a late toxicity of concern, especially for tumors with large size, typically defined as greater than 2 cm [14]. Radiation necrosis following treatment can present a diagnostic challenge, as it is often difficult to distinguish between such radiotherapy-related treatment changes and disease recurrence. Once radiation necrosis is suspected, the standard of care for symptomatic patients includes steroids, though the optimal treatment regimen has not been established. For severe symptomatic cases of radiation necrosis, a small placebo-controlled randomized controlled trial of bevacizumab has demonstrated improvements in neurologic symptoms and follow-up imaging assessments [15].

2.2. Surgery

In the setting of oligometastatic CNS metastases, surgery represents a potentially curative approach [16]. Other indications for surgery include large brain metastases with mass effect, significant edema, or those that are symptomatic. Given the potential for recurrence, adjuvant radiotherapy following resection is the standard of care [17].

3. Systemic Therapy

3.1. Molecular Targeted Therapy

In the era of precision oncology, an individualized approach to patient care based on specific molecular alterations is increasingly utilized, nowhere more so than in NSCLC. Currently, there are nine main biomarkers with FDA-approved targeted therapies with varying degrees of CNS activity, including alterations involving multiple EGFR mutations, ALK rearrangement, ROS1 rearrangement, KRAS G12C, BRAF V600E, NTRK1/2/3 fusions, RET rearrangement, and ERBB2 (HER2). Despite demonstrated CNS activity of many of these agents in studies leading to approval, limitations exist—most of these trials evaluated CNS outcomes only as secondary endpoints or used post hoc analyses, thus constraining our understanding of the efficacy of these treatments for brain metastases. In addition, among such trials, there is significant heterogeneity in terms of the extent of CNS involvement, pretreatment with radiotherapy, and specific CNS endpoints evaluated, further limiting inter-trial comparisons.
The frequency of targetable alterations varies somewhat depending on early versus advanced-stage disease, with EGFR followed by KRAS being the most frequent driver mutations in the metastatic setting [18]. Among patients who develop CNS involvement, specifically, EGFR mutations and ALK rearrangements are particularly common, possibly related to extended survival seen in such patients following the arrival of TKIs, therefore allowing more time to develop brain metastases [3,4]. Detection of driver mutations among patients with CNS metastases may also differ depending on the origin of the specimen tested (lung, brain, blood, or cerebral spinal fluid). For example, a recent retrospective analysis investigating the genomic profiles of NSCLC patients with brain metastases showed that in a series of paired lung and brain biopsies samples from individual patients with time between collections dates ranging from 2 days to 5 years (median = 440 days), 85% had at least one additional genomic alteration detected from the brain compared to the lung sample [19]. Various hypotheses for such genetic heterogeneity have been postulated including the proliferation and acquired metastatic potential of preexisting subclonal populations within primary tumor sites over time as well as increasing genetic complexity arising secondary to exposure to targeted therapies [20]. While liquid biopsy has shown concordance with tissue biopsy, leading to its widespread use in the advanced setting, the blood-brain barrier (BBB) may limit the utility of circulating tumor DNA (ctDNA) for assessing the genomic landscape of NSCLC metastasized to the CNS [21]. In addition, several studies have shown that analyzing ctDNA from the CSF may be a more sensitive and specific source for detecting genomic alterations compared to blood-derived ctDNA [22,23,24]. Based on such findings, testing CSF for ctDNA may be a beneficial adjunct to standard blood-based ctDNA assays that could aid in identifying targetable molecular alterations as well as identifying resistance mechanisms in patients on targeted therapy.
As detailed in Table 1, targeted therapies currently approved for oncogene-driven NSCLC have shown varying degrees of CNS activity. The most robust evidence for CNS activity comes from multiple phase III trials investigating the third-generation EGFR inhibitor osimertinib and newer-generation ALK TKIs. For other targeted treatments, evidence is less compelling as many trials involving these agents were not designed to collect or report CNS outcomes.
The third-generation EGFR inhibitor osimertinib showed improved CNS activity when compared to platinum-based chemotherapy (ORR 40% versus 17%) in the Phase III AURA 3 trial for EGFR-mutated patients who had progressed on a prior TKI [25]. In addition, the Phase III FLAURA trial demonstrated osimertinib’s superiority to the standard of care TKI with CNS ORR 66% versus 43% in EGFR-mutated treatment naïve NSCLC patients [26]. For those patients harboring other less common EGFR alterations (S7681, L861Q, and G719X) data regarding CNS activity of TKIs is lacking as patients with CNS metastases were excluded from the largest study of uncommon EGFR alterations consisting of a post hoc pooled analysis of three trials investigating afatinib versus platinum-based chemotherapy [52]. Among treatment-naïve patients with EGFR Exon 20 insertion and brain metastases, mobocertinib showed a CNS ORR of only 25%, suggesting limited intracranial activity [53]. While amivantamab, an EGFR-MET bispecific antibody, was approved for the treatment of EGFR Exon 20 insertion NSCLC based on the Phase I CHRYSALIS trial, patients with active or untreated brain metastases were excluded from the study, and CNS monitoring was not required limiting interpretation of CNS activity [54].
EGFR inhibition has also been evaluated in combination with VEGF inhibition. The Phase III randomized NEJ026 trial evaluated first-line erlotinib plus the VEGF inhibitor bevacizumab versus erlotinib alone in patients with EGFR-mutated advanced nonsquamous NSCLC [27]. Among patients with brain metastases, there was no difference in OS between treatment groups, though authors advise cautious interpretation of these results, as this subgroup analysis was underpowered. No other CNS-specific outcomes were included. The recombinant monoclonal antibody targeting VEGF receptors, ramucirumab, was also studied in combination with erlotinib in the RELAY trial; however, patients with CNS metastases were excluded [55].
In the setting of ALK-rearranged NSCLC, multiple trials have demonstrated excellent CNS activity of second and third-generation ALK inhibitors compared to first-generation crizotinib. For patients who progressed on crizotinib with baseline CNS involvement, the second-generation alectinib showed CNS ORR of 57% with 43% of patients achieving a complete response (CR) [28]. In addition, alectinib showed superior CNS outcomes compared to crizotinib in the upfront setting, with CNS ORR up to 74.4% versus crizotinib 24.3% in patients with untreated asymptomatic brain metastases [29], (and delayed time to CNS progression in those without brain metastases (HR 0.19, p = 0004) compared to crizotinib [30]. Similar findings were seen with additional second-generation ALK inhibitors, brigatinib and ceritinib. Finally, the third-generation ALK inhibitor lorlatinib has also shown CNS activity both in treatment naïve settings with CNS ORR up to 82% and in patients previously treated with non-crizotinib ALK inhibitors and/or chemotherapy [35,36].
For patients with ROS1 rearranged NSCLC, entrectinib yields a CNS ORR of up to 79% in patients with measurable brain metastases [38]. Lorlatinib, which is both an ALK and ROS1 inhibitor, yields a somewhat lower CNS activity compared to its performance in the ALK setting with a CNS ORR of 64% in treatment naïve and 50% in patients previously treated [39]. Another ROS inhibitor currently under investigation, repotretinib, may also have CNS activity with a CNS ORR of 100% in treatment naïve patients with brain metastases though small patient size (n of 3) limits interpretation [40].
Recently, KRAS G12C has emerged as a targetable alteration with the KRAS inhibitors sotorasib and adagrasib. CNS outcomes were not assessed in the Phase II CodeBreak 100 trial evaluating sotorasib as patients with brain metastases were excluded [41]; however, the Phase I KRYSTAL-1 trial investigating adagrasib allowed patients with treated CNS metastases and showed an intracranial ORR of 33% [39]. A follow-up report by Sabari and colleagues found that adagrasib achieved steady concentrations in the CSF of two patients with untreated brain metastases enrolled in the KRYSTAL-1 trial, with one patient achieving a partial response and the other with stable disease after two cycles of treatment. In addition, the authors showed that adagrasib penetrated the CSF and extended survival in preclinical mouse models of KRAS G12C-mutant NSCLC. Together, these findings further support that adagrasib has clinical activity against brain metastases in KRAS G12C-mutant NSCLC [56].
RET inhibition with selpercatinib also demonstrated impressive CNS activity in the LIBRETT0-001 trial, with a CNS ORR of 81.8% among 22 patients with measurable brain mets [50]. In addition, the RET inhibitor pralsetinib showed CNS activity but to a lesser extent than selpercatinib with a CNS ORR of 56% and only evaluable in 9 patients [49]. Additional therapies targeting BRAF V600E, NTRK gene fusions, and MET Exon Skipping have also demonstrated CNS activity, though small data sets limit conclusions from existing trials [43,44,45,46,47,48]. Finally, the recently approved ERBB2 (HER2) therapy trastuzumabderuxtecan, while investigated in patients with brain metastases, did not report upon specific CNS outcomes and additional study is necessary to assess its CNS activity [51].

3.2. Systemic and Local Therapy Combinations

There is limited and mixed data comparing upfront TKIs alone versus the addition of radiotherapy for the treatment of CNS metastases. While a prior landmark study suggested that upfront EGFR-TKI and deferral of radiotherapy for brain metastases were associated with inferior survival, the study focused on the first-generation EGFR inhibitor erlotinib which has limited CNS activity compared to the third-generation osimertinib [57]. The BRAIN trial compared icotinib upfront with WBRT on progression to the combination of WBRT and chemotherapy in patients with EGFR-mutant NSCLC and found that patients receiving icotinib upfront with WBRT on progression had better intracranial PFS but no difference in OS [58]. A more recent multi-institutional study found no significant differences between upfront RT + TKI vs. TKI alone for patients with EGFR- and ALK-positive NSCLC, suggesting that RT can be deferred during the progression of the disease [59]. Recent CNS metastases consensus guidelines published by ASCO/ASTRO recommend consideration of upfront TKI for NSCLC with brain metastases in the setting of EGFR and ALK alterations but do not comment on the use of TKIs for other targetable alterations [12]. Despite the appeal of a monotherapy TKI approach, one must consider the varying potential for long-term control with SRS weighed against some TKI with median durations of CNS response lasting in the range of 9–12 months only (Table 1). In addition, while there is limited data on toxicities from combined approaches of SRS and TKIs, there is the potential for an increased risk of radionecrosis. There is a continued need for prospective trials to compare the efficacy and adverse effects of combination approaches versus TKI alone, and while we await such results, recent guideline statements call for a personalized approach to therapy including a review in multidisciplinary tumor boards to determine individual treatment plans [12].

3.3. CNS Progression on TKIs

Yet another challenge in the era of targeted therapy is the approach to CNS progression while on TKI. In the absence of a repeat brain biopsy, it may be difficult to establish whether such CNS progression represents resistance versus suboptimal CNS penetrance for a given targeted agent. While ctDNA may be utilized to detect resistance mechanisms, such as the development of a new alteration, it is neither sensitive nor specific in the setting of brain metastases. Given the diagnostic challenges of establishing TKI resistance as the mechanism for CNS progression, there are several potential options for management. One option would be to continue the TKI with the addition of local therapy given data showing an extended duration of response with the addition of TKIs [60]. Dose escalation is yet another accepted strategy backed by evidence [61]. Finally, one may also consider switching TKIs. For example, in the setting of ALK and ROS inhibitors, later generations are known to have superior CNS response rates (Table 1).

3.4. Immunotherapy

Over the last decade, immune checkpoint inhibitors (ICIs) have revolutionized the treatment landscape for patients with advanced NSCLC, particularly in those without molecularly targetable mutations [62]. Blockade of cytotoxic T-lymphocyte-associated protein 4 (CTLA-4), programmed death protein-1 (PD-1), and its ligand has led to improved survival outcomes for these patients. Historically, the CNS was considered an immunologic sanctuary site, but evidence showing that ICIs can induce durable responses in brain metastases challenges this long-held notion [63,64,65,66]. Compared with gliomas, for which outcomes from ICIs have been disappointing, brain metastases in solid tumors including NSCLC appear to be to have higher infiltrations of tumor-infiltrating lymphocytes (TILs), which are important for immunotherapy efficacy [67,68,69]. In matched comparisons of primary lung and CNS metastases in NSCLC, higher PD-L1 expression but lower TILs have been observed in brain metastases, perhaps contributing to variable CNS activity of immunotherapy [69,70]. Further studies are necessary to reveal to what extent the effectiveness of immunotherapy for brain metastases relies upon intracranial immune function versus migrating immune cells from the periphery.
Current data on the efficacy of ICIs in lung cancer brain metastases remain limited, as most clinical trials have historically excluded patients with active or untreated brain metastases [71]. To date, the strongest evidence of ICI efficacy for the treatment of active CNS metastases comes from a Phase II trial of pembrolizumab by Goldberg et al. [72]. The study included patients with non-oncogene-driven, advanced NSCLC with untreated, asymptomatic brain metastases (5–20 mm) not requiring steroids. Overall, 42 patients with brain metastases were included. Among patients with PD-L1 ≥ 1%, the CNS ORR was 29.7% (11/37), with a median CNS DOR of 5.7 months. PFS and OS were 1.9 months and 9.9 months, respectively. There were no responses in the PD-L1 negative or unknown cohort. Several pooled analyses and retrospective studies have similarly confirmed these CNS outcomes with pembrolizumab, showing intracranial ORR ranging roughly 15–35% regardless of PD-L1 expression but exceeding 50% in patients with PD-L1 ≥ 50% [73,74,75,76]. Other key studies of ICI monotherapy can be found in Table 2.
Dual ICIs have also been evaluated in patients with NSCLC and CNS metastases. A post hoc analysis of Checkmate-227 evaluating nivolumab plus ipilimumab versus chemotherapy showed that combination ICI appeared to provide similar survival benefits in patients with and without treated baseline CNS metastases [81]. While prospective data ultimately remains limited, there are several ongoing clinical trials evaluating the efficacy of ICIs for untreated brain metastases (NCT02681549, NCT 02886585, NCT03526900).
Given that ICI monotherapy provides a relatively modest response in NSCLC brain metastases, combination strategies including ICIs with chemotherapy or radiation have been of interest. There is growing evidence that radiation synergizes with immunotherapy by increasing the visibility of tumor antigens and modulating the tumor microenvironment [82,83]. Furthermore, a phenomenon known as the abscopal effect—the ability for local radiation to induce an antitumor response at sites not subjected to radiation—has been observed with the combination of ICI and radiotherapy [84]. While prospective studies in this domain are lacking, retrospective studies have reported excellent local control and superior OS outcomes when ICIs are combined with radiation. In a meta-analysis of 19 studies, the combination of ICI with CNS radiation demonstrated superior OS (HR 0.77, 95% CI: 0.71–0.83) without any increase in neurologic toxicity compared to CNS radiation alone for NSCLC [85]. Similarly, another meta-analysis (n = 534 patients, 1570 brain metastases) reported improved 1-year OS (64.6% vs. 51.6%) and 1-year local control (89.2% vs. 67.8%) in patients who received ICI with SRS compared to non-concurrent therapy [86].
Like radiation therapy, chemotherapy may also synergize with ICIs [87]. Recent data suggest that combining ICIs with chemotherapy improves survival regardless of PD-L1 expression or the presence of brain metastases at baseline [88]. In KEYNOTE-189, first-line pembrolizumab with pemetrexed-platinum chemotherapy significantly improved median OS (22.0 vs. 10.7 months and HR 0.56, 95% CI: 0.45–0.70), and PFS (9.0 vs. 4.9 months and HR 0.45, 95% CI: 0.40–0.58), compared to chemotherapy alone [88]. A pooled analysis of several key trials (n = 1298 patients, 171 brain metastases) also supports these findings [89]. In patients with brain metastases who received pembrolizumab with chemotherapy, median OS and PFS were 18.8 months and 6.9 months, respectively. Median systemic DOR was also longer (11.3 vs. 6.8 months) compared to the chemotherapy only group.
Yet another emerging area of interest is the combination of ICI with antiangiogenic agents. It is hypothesized that antio-angiogenic agents may facilitate the efficacy of immunotherapy by normalizing aberrant tumor vasculature, decreasing tumor-promoting hypoxia, and increasing the accessibility of immune cells to access the tumor microenvironment [90]. The IMpower150 trial randomized patients 1:1:1 to receive atezolizumab + bevacizumab + carboplatin/paclitaxel (ABCP), atezolizumab + carboplatin/paclitaxel (ACP), or bevacizumab + carboplatin/paclitaxel (BCP) (NCT02366143). Further exploratory analyses of IMpower150 among patients with baseline brain metastases found that the ABCP combination delayed the time to development of new brain metastases (HR 0.68 for ABCP versus BCP, and HR 1.55 for ACP versus BCP) [91]. In addition, a phase 1b trial of the PD-1 inhibitor sintilimab combined with the multi-target TKI with antiangiogenic action showed promising CNS activity in the frontline setting with all four patients with baseline asymptomatic brain metastases achieving IRR CR [92]. Further efforts are necessary to investigate the role of combination ICI with antio-angiogenic therapies without or without chemotherapy.

4. Leptomeningeal Disease

Leptomeningeal metastasis (LM) occurs when tumor cells disseminate and spread to the meninges, which include the pia and arachnoid mater. Malignant cells may reach the leptomeningeal space, a so-called immune-privileged site through direct extension from brain metastases or via the hematogenous or lymphatic spread. Throughout the course of disease among patients with advanced NSCLC, LM occurs in 3–5% of patients and up to 10% in patients with EGFR-mutated and ALK-rearranged NSCLC [93,94]. The mechanisms underlying the higher incidence of LM disease among patients with EGFR and ALK alterations may be multifactorial. One hypothesis is that longer survival in patients on TKIs may provide more time for metastatic malignant cells to overcome the blood-brain barrier. An alternative explanation is insufficient penetration of earlier generation TKIs into the CSF, allowing LM to develop. Nonetheless, LM is a devastating end-stage complication of NSCLC as OS remains in the order of several weeks to months [93,95].
Diagnosis of LM remains challenging and includes a combination of clinical manifestations, cerebrospinal fluid (CSF) cytology, and neuroimaging findings [96]. The current gold standard is a positive CSF cytology via lumbar puncture; however, the sensitivity is only 50% at initial sampling and increases to 75–85% on subsequent CSF analyses [97]. Similarly, brain and spine magnetic resonance imaging (MRI) has its shortcomings, as 20–30% of patients with LM have normal or false-negative MRIs [95]. New emerging approaches such as CSF liquid biopsy allow for the analysis of tumor components in CSF including circulating tumor cells (CTCs) and ctDNA [94,98]. Studies have shown that quantification of CTCs in CSF has been shown to be more sensitive than conventional cytology combined with neuroimaging [99,100]. Additionally, circulating tumor DNA in CSF may also be used as an adjunct to detect LM, specifically in cases that cannot be detected by conventional methods [22].
LM is more common in patients harboring EGFR mutations or ALK rearrangements [93,94]. However, there is no standard regimen regarding management. In patients who have progressed on first- or second-generation TKI with LM confirmed via cytology, the BLOOM (Phase I) study showed osimertinib 160 mg to have an LM ORR of 62% (95% CI: 45–78) and a median duration of response of 15.2 months (95% CI: 7.5 to 17.5) [101]. In the study, LM ORR was assessed by neuroradiologic blinded central independent review (BICR) according to Response Assessment in Neuro-Oncology LM radiologic criteria as well as other reviews according to the RANO-LM working group criteria which incorporates a standard neurologic exam and CSF cytology or flow cytometry [102]. In another study of patients who developed LM on osimertinib, dose escalation from 80 mg to 160 mg has also demonstrated modest local control, with a median of 5.8 months (95% CI: 1.7–9.1) [103]. ALK rearrangements are less common as compared to EGFR mutations, and consensus regarding the management of LM in this population is limited by the paucity of existing data. A few case reports have described alectinib and brigatinib as successful salvage options for patients who developed LM on crizotinib or ceritinib [104,105]. Moreover, alectinib dose escalation from 600 mg to 900 mg twice daily has been reported to overcome incomplete ALK inhibition in the CNS and prolong the durability of responses in two patients with LM [106]. Perhaps dose escalation approaches can be employed for the treatment of LM in NSCLC harboring other driver oncogenes, but larger prospective studies are needed.
Other treatments for LM include radiotherapy, systemic and intrathecal chemotherapy, and adjunctive bevacizumab. Radiotherapy is especially recommended for symptomatic sites associated with LM [107]. For example, lumbosacral spine radiotherapy may be utilized for patients with cauda equina syndrome, while WBRT may be beneficial for patients with isolated cranial neuropathies [108]. Recently, proton craniospinal irradiation has emerged as a potentially beneficial treatment strategy for patients with LM and adequate functional status [109,110]. Systemic pemetrexed has also been studied for the treatment of LM, and in one retrospective analysis, pemetrexed use after LM was independently associated with a longer median post-LM survival (13.7 months, 95% CI: 4.1–23.2) compared to those without pemetrexed use after LM (median 4.0 months, 95% CI: 2.2–5.7) [111]. Intrathecal chemotherapies have also demonstrated modest efficacy with a median OS of 6 months [112]. Bevacizumab, an anti-VEGF inhibitor, has also been used for the treatment of LM as an adjunct alongside TKIs including osimertinib or lorlatinib. When bevacizumab is added to osimertinib and lorlatinib, median LM PFS was reported to be 9.3 months (95% CI: 8.2–10.4) and 5–9 months, respectively [113,114]. Finally, there is limited data regarding the safety and efficacy of ICIs in patients with LM. Two phase II trials evaluated pembrolizumab for the treatment of LM in patients with solid tumor malignancies with median OS ranging from 2.9 to 3.6 months [115,116]. Altogether, only 3 of 33 patients had NSCLC; thus, it is difficult to draw any definitive conclusions.

5. Directions for Future Research

Continued progress in the treatment of NSCLC metastatic to the brain will depend upon a better understanding of the biological basis of CNS metastases, improved trial design with deliberate inclusion of CNS-specific outcomes, and the development of novel therapeutics. While the basis for lung cancer metastasis to the CNS is yet to be fully elucidated, various preclinical research efforts have investigated how novel agents might be applied to minimize metastasis. One such study showed that the compound cephalomannine exerts inhibitory effects in hypoxic lung cancer cells, reducing cell migration, and possibly metastatic potential [117]. Other ongoing areas of investigation aim to identify molecular alterations that may be specifically associated with CNS metastases, and potentially targetable. For example, the genomic profiles of NSCLC patients have been shown to differ in those with brain metastases compared to those without, with enrichment in alterations such as KRAS, NFKBIA, and RICTOR among patients with CNS involvement [19,118]. Furthermore, a preliminary report using an in vivo mouse model of NSCLC showed that RICTOR knockdown inhibits lung cancer tumor growth and spread in the brain, suggesting that RICTOR may represent an important therapeutic target for treating or preventing brain metastases [107]. Further efforts are necessary to identify other targets and treatments for NSCLC CNS metastases.

6. Conclusions

With the advent of improved radiotherapy approaches such as SRS and the multiple generations of TKIs with increasing CNS penetrance, the treatment options, and prognoses for patients with CNS metastases have vastly improved. Still, many unanswered questions remain. Current consensus guidelines emphasize tailoring treatment plans based on individual patient characteristics and multidisciplinary review. In the absence of a “one-size-fits-all” approach, however, clinicians ultimately lack clear guidance for the first-line treatment of brain metastases beyond locoregional options. In addition, many clinical trials evaluating novel targeted agents and immune checkpoint inhibitors have either excluded patients with symptomatic brain metastases or failed to include CNS-specific outcomes, ultimately limiting the interpretation of efficacy for patients with brain metastases. Continued progress is required to standardize treatment approaches, design clinical trials with the ability to detect CNS-specific benefits, and develop more effective therapeutics.

Author Contributions

Writing—original draft preparation, A.D., E.M. and H.C.; writing—review and editing, A.D., E.M. and H.C. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Barnholtz-Sloan, J.S.; Sloan, A.E.; Davis, F.G.; Vigneau, F.D.; Lai, P.; Sawaya, R.E. Incidence proportions of brain metastases in patients diagnosed (1973 to 2001) in the Metropolitan Detroit Cancer Surveillance System. J. Clin. Oncol. 2004, 22, 2865–2872. [Google Scholar] [CrossRef]
  2. Ali, A.; Goffin, J.R.; Arnold, A.; Ellis, P.M. Survival of patients with non-small-cell lung cancer after a diagnosis of brain metastases. Curr. Oncol. 2013, 20, e300–e306. [Google Scholar] [CrossRef] [Green Version]
  3. Shin, D.Y.; Na, I.I.; Kim, C.H.; Park, S.; Baek, H.; Yang, S.H. EGFR mutation and brain metastasis in pulmonary adenocarcinomas. J. Thorac. Oncol. 2014, 9, 195–199. [Google Scholar] [CrossRef] [Green Version]
  4. Johung, K.L.; Yeh, N.; Desai, N.B.; Williams, T.M.; Lautenschlaeger, T.; Arvold, N.D.; Ning, M.S.; Attia, A.; Lovly, C.M.; Goldberg, S.; et al. Extended Survival and Prognostic Factors for Patients With ALK-Rearranged Non-Small-Cell Lung Cancer and Brain Metastasis. J. Clin. Oncol. 2016, 34, 123–129. [Google Scholar] [CrossRef] [Green Version]
  5. Zhang, I.; Zaorsky, N.G.; Palmer, J.D.; Mehra, R.; Lu, B. Targeting brain metastases in ALK-rearranged non-small-cell lung cancer. Lancet Oncol. 2015, 16, e510–e521. [Google Scholar] [CrossRef]
  6. Brown, P.D.; Jaeckle, K.; Ballman, K.V.; Farace, E.; Cerhan, J.H.; Anderson, S.K.; Carrero, X.W.; Barker, F.G.; Deming, R.; Burri, S.H.; et al. Effect of Radiosurgery Alone vs Radiosurgery With Whole Brain Radiation Therapy on Cognitive Function in Patients With 1 to 3 Brain Metastases: A Randomized Clinical Trial. JAMA 2016, 316, 401–409. [Google Scholar] [CrossRef]
  7. Tallet, A.V.; Azria, D.; Barlesi, F.; Spano, J.P.; Carpentier, A.F.; Gonçalves, A.; Metellus, P. Neurocognitive function impairment after whole brain radiotherapy for brain metastases: Actual assessment. Radiat. Oncol. 2012, 7, 77. [Google Scholar] [CrossRef] [Green Version]
  8. Chang, E.L.; Wefel, J.S.; Hess, K.R.; Allen, P.K.; Lang, F.F.; Kornguth, D.G.; Arbuckle, R.B.; Swint, J.M.; Shiu, A.S.; Maor, M.H.; et al. Neurocognition in patients with brain metastases treated with radiosurgery or radiosurgery plus whole-brain irradiation: A randomised controlled trial. Lancet Oncol. 2009, 10, 1037–1044. [Google Scholar] [CrossRef]
  9. Mulvenna, P.; Nankivell, M.; Barton, R.; Faivre-Finn, C.; Wilson, P.; McColl, E.; Moore, B.; Brisbane, I.; Ardron, D.; Holt, T.; et al. Dexamethasone and supportive care with or without whole brain radiotherapy in treating patients with non-small cell lung cancer with brain metastases unsuitable for resection or stereotactic radiotherapy (QUARTZ): Results from a phase 3, non-inferiority, randomised trial. Lancet 2016, 388, 2004–2014. [Google Scholar] [CrossRef] [Green Version]
  10. Brown, P.D.; Gondi, V.; Pugh, S.; Tome, W.A.; Wefel, J.S.; Armstrong, T.S.; Bovi, J.A.; Robinson, C.; Konski, A.; Khuntia, D.; et al. Hippocampal Avoidance During Whole-Brain Radiotherapy Plus Memantine for Patients With Brain Metastases: Phase III Trial NRG Oncology CC001. J. Clin. Oncol. 2020, 38, 1019–1029. [Google Scholar] [CrossRef]
  11. Yamamoto, M.; Serizawa, T.; Shuto, T.; Akabane, A.; Higuchi, Y.; Kawagishi, J.; Yamanaka, K.; Sato, Y.; Jokura, H.; Yomo, S.; et al. Stereotactic radiosurgery for patients with multiple brain metastases (JLGK0901): A multi-institutional prospective observational study. Lancet Oncol. 2014, 15, 387–395. [Google Scholar] [CrossRef] [PubMed]
  12. Vogelbaum, M.A.; Brown, P.D.; Messersmith, H.; Brastianos, P.K.; Burri, S.; Cahill, D.; Dunn, I.F.; Gaspar, L.E.; Gatson, N.T.N.; Gondi, V.; et al. Treatment for Brain Metastases: ASCO-SNO-ASTRO Guideline. J. Clin. Oncol. 2022, 40, 492–516. [Google Scholar] [CrossRef] [PubMed]
  13. Tsao, M.N.; Lloyd, N.; Wong, R.K.; Chow, E.; Rakovitch, E.; Laperriere, N.; Xu, W.; Sahgal, A. Whole brain radiotherapy for the treatment of newly diagnosed multiple brain metastases. Cochrane Database Syst. Rev. 2012, 2012, CD003869. [Google Scholar] [CrossRef]
  14. Minniti, G.; Scaringi, C.; Paolini, S.; Lanzetta, G.; Romano, A.; Cicone, F.; Osti, M.; Enrici, R.M.; Esposito, V. Single-Fraction Versus Multifraction (3 × 9 Gy) Stereotactic Radiosurgery for Large (>2 cm) Brain Metastases: A Comparative Analysis of Local Control and Risk of Radiation-Induced Brain Necrosis. Int. J. Radiat. Oncol. Biol. Phys. 2016, 95, 1142–1148. [Google Scholar] [CrossRef] [PubMed]
  15. Levin, V.A.; Bidaut, L.; Hou, P.; Kumar, A.J.; Wefel, J.S.; Bekele, B.N.; Grewal, J.; Prabhu, S.; Loghin, M.; Gilbert, M.R.; et al. Randomized double-blind placebo-controlled trial of bevacizumab therapy for radiation necrosis of the central nervous system. Int. J. Radiat. Oncol. Biol. Phys. 2011, 79, 1487–1495. [Google Scholar] [CrossRef] [Green Version]
  16. Li, D.; Zhu, X.; Wang, H.; Qiu, M.; Li, N. Should aggressive thoracic therapy be performed in patients with synchronous oligometastatic non-small cell lung cancer? A meta-analysis. J. Thorac. Dis. 2017, 9, 310–317. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  17. Nabors, L.B.; Portnow, J.; Ahluwalia, M.; Baehring, J.; Brem, H.; Brem, S.; Butowski, N.; Campian, J.L.; Clark, S.W.; Fabiano, A.J.; et al. Central Nervous System Cancers, Version 3.2020, NCCN Clinical Practice Guidelines in Oncology. J. Natl. Compr. Cancer Netw. 2020, 18, 1537–1570. [Google Scholar] [CrossRef] [PubMed]
  18. Skoulidis, F.; Heymach, J.V. Co-occurring genomic alterations in non-small-cell lung cancer biology and therapy. Nat. Rev. Cancer 2019, 19, 495–509. [Google Scholar] [CrossRef] [PubMed]
  19. Huang, R.S.P.; Harries, L.; Decker, B.; Hiemenz, M.C.; Murugesan, K.; Creeden, J.; Tolba, K.; Stabile, L.P.; Ramkissoon, S.H.; Burns, T.F.; et al. Clinicopathologic and Genomic Landscape of Non-Small Cell Lung Cancer Brain Metastases. Oncologist 2022, 27, 839–848. [Google Scholar] [CrossRef]
  20. Dagogo-Jack, I.; Shaw, A.T. Tumour heterogeneity and resistance to cancer therapies. Nat. Rev. Clin. Oncol. 2018, 15, 81–94. [Google Scholar] [CrossRef]
  21. Ramkissoon, L.A.; Pegram, W.; Haberberger, J.; Danziger, N.; Lesser, G.; Strowd, R.; Dahiya, S.; Cummings, T.J.; Bi, W.L.; Abedalthagafi, M.; et al. Genomic Profiling of Circulating Tumor DNA From Cerebrospinal Fluid to Guide Clinical Decision Making for Patients With Primary and Metastatic Brain Tumors. Front. Neurol. 2020, 11, 544680. [Google Scholar] [CrossRef]
  22. De Mattos-Arruda, L.; Mayor, R.; Ng, C.K.Y.; Weigelt, B.; Martínez-Ricarte, F.; Torrejon, D.; Oliveira, M.; Arias, A.; Raventos, C.; Tang, J.; et al. Cerebrospinal fluid-derived circulating tumour DNA better represents the genomic alterations of brain tumours than plasma. Nat. Commun. 2015, 6, 8839. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Li, Y.S.; Jiang, B.Y.; Yang, J.J.; Zhang, X.C.; Zhang, Z.; Ye, J.Y.; Zhong, W.Z.; Tu, H.Y.; Chen, H.J.; Wang, Z.; et al. Unique genetic profiles from cerebrospinal fluid cell-free DNA in leptomeningeal metastases of EGFR-mutant non-small-cell lung cancer: A new medium of liquid biopsy. Ann. Oncol. 2018, 29, 945–952. [Google Scholar] [CrossRef] [PubMed]
  24. Marchiò, C.; Mariani, S.; Bertero, L.; Di Bello, C.; Francia Di Celle, P.; Papotti, M.; Rudà, R.; Soffietti, R.; Cassoni, P. Liquoral liquid biopsy in neoplastic meningitis enables molecular diagnosis and mutation tracking: A proof of concept. Neuro. Oncol. 2017, 19, 451–453. [Google Scholar] [CrossRef] [Green Version]
  25. Wu, Y.L.; Ahn, M.J.; Garassino, M.C.; Han, J.Y.; Katakami, N.; Kim, H.R.; Hodge, R.; Kaur, P.; Brown, A.P.; Ghiorghiu, D.; et al. CNS Efficacy of Osimertinib in Patients With T790M-Positive Advanced Non-Small-Cell Lung Cancer: Data From a Randomized Phase III Trial (AURA3). J. Clin. Oncol. 2018, 36, 2702–2709. [Google Scholar] [CrossRef]
  26. Reungwetwattana, T.; Nakagawa, K.; Cho, B.C.; Cobo, M.; Cho, E.K.; Bertolini, A.; Bohnet, S.; Zhou, C.; Lee, K.H.; Nogami, N.; et al. CNS Response to Osimertinib Versus Standard Epidermal Growth Factor Receptor Tyrosine Kinase Inhibitors in Patients With Untreated EGFR-Mutated Advanced Non-Small-Cell Lung Cancer. J. Clin. Oncol. 2018, 36, JCO2018783118. [Google Scholar] [CrossRef]
  27. Kawashima, Y.; Fukuhara, T.; Saito, H.; Furuya, N.; Watanabe, K.; Sugawara, S.; Iwasawa, S.; Tsunezuka, Y.; Yamaguchi, O.; Okada, M.; et al. Bevacizumab plus erlotinib versus erlotinib alone in Japanese patients with advanced, metastatic, EGFR-mutant non-small-cell lung cancer (NEJ026): Overall survival analysis of an open-label, randomised, multicentre, phase 3 trial. Lancet Respir. Med. 2022, 10, 72–82. [Google Scholar] [CrossRef]
  28. Ou, S.H.; Ahn, J.S.; De Petris, L.; Govindan, R.; Yang, J.C.; Hughes, B.; Lena, H.; Moro-Sibilot, D.; Bearz, A.; Ramirez, S.V.; et al. Alectinib in Crizotinib-Refractory ALK-Rearranged Non-Small-Cell Lung Cancer: A Phase II Global Study. J. Clin. Oncol. 2016, 34, 661–668. [Google Scholar] [CrossRef] [Green Version]
  29. Gadgeel, S.; Peters, S.; Mok, T.; Shaw, A.T.; Kim, D.W.; Ou, S.I.; Pérol, M.; Wrona, A.; Novello, S.; Rosell, R.; et al. Alectinib versus crizotinib in treatment-naive anaplastic lymphoma kinase-positive (ALK+) non-small-cell lung cancer: CNS efficacy results from the ALEX study. Ann. Oncol. 2018, 29, 2214–2222. [Google Scholar] [CrossRef] [Green Version]
  30. Nishio, M.; Nakagawa, K.; Mitsudomi, T.; Yamamoto, N.; Tanaka, T.; Kuriki, H.; Zeaiter, A.; Tamura, T. Analysis of central nervous system efficacy in the J-ALEX study of alectinib versus crizotinib in ALK-positive non-small-cell lung cancer. Lung Cancer 2018, 121, 37–40. [Google Scholar] [CrossRef]
  31. Camidge, D.R.; Kim, D.W.; Tiseo, M.; Langer, C.J.; Ahn, M.J.; Shaw, A.T.; Huber, R.M.; Hochmair, M.J.; Lee, D.H.; Bazhenova, L.A.; et al. Exploratory Analysis of Brigatinib Activity in Patients With Anaplastic Lymphoma Kinase-Positive Non-Small-Cell Lung Cancer and Brain Metastases in Two Clinical Trials. J. Clin. Oncol. 2018, 36, 2693–2701. [Google Scholar] [CrossRef]
  32. Camidge, D.R.; Kim, H.R.; Ahn, M.J.; Yang, J.C.H.; Han, J.Y.; Hochmair, M.J.; Lee, K.H.; Delmonte, A.; García Campelo, M.R.; Kim, D.W.; et al. Brigatinib Versus Crizotinib in Advanced ALK Inhibitor-Naive ALK-Positive Non-Small Cell Lung Cancer: Second Interim Analysis of the Phase III ALTA-1L Trial. J. Clin. Oncol. 2020, 38, 3592–3603. [Google Scholar] [CrossRef]
  33. Soria, J.C.; Tan, D.S.W.; Chiari, R.; Wu, Y.L.; Paz-Ares, L.; Wolf, J.; Geater, S.L.; Orlov, S.; Cortinovis, D.; Yu, C.J.; et al. First-line ceritinib versus platinum-based chemotherapy in advanced ALK-rearranged non-small-cell lung cancer (ASCEND-4): A randomised, open-label, phase 3 study. Lancet 2017, 389, 917–929. [Google Scholar] [CrossRef]
  34. Shaw, A.T.; Kim, T.M.; Crinò, L.; Gridelli, C.; Kiura, K.; Liu, G.; Novello, S.; Bearz, A.; Gautschi, O.; Mok, T.; et al. Ceritinib versus chemotherapy in patients with ALK-rearranged non-small-cell lung cancer previously given chemotherapy and crizotinib (ASCEND-5): A randomised, controlled, open-label, phase 3 trial. Lancet Oncol. 2017, 18, 874–886. [Google Scholar] [CrossRef]
  35. Solomon, B.J.; Besse, B.; Bauer, T.M.; Felip, E.; Soo, R.A.; Camidge, D.R.; Chiari, R.; Bearz, A.; Lin, C.C.; Gadgeel, S.M.; et al. Lorlatinib in patients with ALK-positive non-small-cell lung cancer: Results from a global phase 2 study. Lancet Oncol. 2018, 19, 1654–1667. [Google Scholar] [CrossRef]
  36. Felip, E.; Shaw, A.T.; Bearz, A.; Camidge, D.R.; Solomon, B.J.; Bauman, J.R.; Bauer, T.M.; Peters, S.; Toffalorio, F.; Abbattista, A.; et al. Intracranial and extracranial efficacy of lorlatinib in patients with ALK-positive non-small-cell lung cancer previously treated with second-generation ALK TKIs. Ann. Oncol. 2021, 32, 620–630. [Google Scholar] [CrossRef]
  37. Shaw, A.T.; Bauer, T.M.; de Marinis, F.; Felip, E.; Goto, Y.; Liu, G.; Mazieres, J.; Kim, D.W.; Mok, T.; Polli, A.; et al. First-Line Lorlatinib or Crizotinib in Advanced. N. Engl. J. Med. 2020, 383, 2018–2029. [Google Scholar] [CrossRef]
  38. Dziadziuszko, R.; Krebs, M.G.; De Braud, F.; Siena, S.; Drilon, A.; Doebele, R.C.; Patel, M.R.; Cho, B.C.; Liu, S.V.; Ahn, M.J.; et al. Updated Integrated Analysis of the Efficacy and Safety of Entrectinib in Locally Advanced or Metastatic. J. Clin. Oncol. 2021, 39, 1253–1263. [Google Scholar] [CrossRef]
  39. Shaw, A.T.; Solomon, B.J.; Chiari, R.; Riely, G.J.; Besse, B.; Soo, R.A.; Kao, S.; Lin, C.C.; Bauer, T.M.; Clancy, J.S.; et al. Lorlatinib in advanced ROS1-positive non-small-cell lung cancer: A multicentre, open-label, single-arm, phase 1-2 trial. Lancet Oncol. 2019, 20, 1691–1701. [Google Scholar] [CrossRef]
  40. Cho, B.C.; Drilon, A.E.; Doebele, R.C.; Kim, D.W.; Lin, J.J.; Lee, J.; Ahn, M.-J.; Zhu, V.W.; Ejadi, S.; Camidge, D.R.; et al. Safety and preliminary clinical activity of repotrectinib in patients with advanced ROS1 fusion-positive non-small cell lung cancer (TRIDENT-1 study). J. Clin. Oncol. 2019, 37, 9011. [Google Scholar] [CrossRef]
  41. Skoulidis, F.; Li, B.T.; Dy, G.K.; Price, T.J.; Falchook, G.S.; Wolf, J.; Italiano, A.; Schuler, M.; Borghaei, H.; Barlesi, F.; et al. Sotorasib for Lung Cancers with. N. Engl. J. Med. 2021, 384, 2371–2381. [Google Scholar] [CrossRef] [PubMed]
  42. Jänne, P.A.; Riely, G.J.; Gadgeel, S.M.; Heist, R.S.; Ou, S.I.; Pacheco, J.M.; Johnson, M.L.; Sabari, J.K.; Leventakos, K.; Yau, E.; et al. Adagrasib in Non-Small-Cell Lung Cancer Harboring a. N. Engl. J. Med. 2022, 387, 120–131. [Google Scholar] [CrossRef] [PubMed]
  43. Planchard, D.; Besse, B.; Groen, H.J.M.; Souquet, P.J.; Quoix, E.; Baik, C.S.; Barlesi, F.; Kim, T.M.; Mazieres, J.; Novello, S.; et al. Dabrafenib plus trametinib in patients with previously treated BRAF(V600E)-mutant metastatic non-small cell lung cancer: An open-label, multicentre phase 2 trial. Lancet Oncol. 2016, 17, 984–993. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Planchard, D.; Smit, E.F.; Groen, H.J.M.; Mazieres, J.; Besse, B.; Helland, Å.; Giannone, V.; D′Amelio, A.M.; Zhang, P.; Mookerjee, B.; et al. Dabrafenib plus trametinib in patients with previously untreated BRAF. Lancet Oncol. 2017, 18, 1307–1316. [Google Scholar] [CrossRef] [PubMed]
  45. John, T.; Chiu, C.; Cho, B.C.; Fakih, M.; Farago, A.F.; Demetri, G.D.; Goto, K.; Doebele, R.C.; Siena, S.; Drilon, A.; et al. 364O—Intracranial efficacy of entrectinib in patients with NTRK fusion-positive solid tumours and baseline CNS metastases. Ann. Oncol. 2020, 31, S397–S398. [Google Scholar] [CrossRef]
  46. Drilon, A.E.; DuBois, S.G.; Farago, A.F.; Geoerger, B.; Grilley-Olson, J.E.; Hong, D.S.; Sohal, D.; van Tilburg, C.M.; Ziegler, D.S.; Ku, N.; et al. Activity of larotrectinib in TRK fusion cancer patients with brain metastases or primary central nervous system tumors. Clin. Oncol. 2019. [Google Scholar] [CrossRef]
  47. Wolf, J.; Seto, T.; Han, J.Y.; Reguart, N.; Garon, E.B.; Groen, H.J.M.; Tan, D.S.W.; Hida, T.; de Jonge, M.; Orlov, S.V.; et al. Capmatinib in MET Exon 14–Mutated or MET-Amplified Non–Small-Cell Lung Cancer. N. Engl. J. Med. 2020, 383, 944–957. [Google Scholar] [CrossRef]
  48. Le, X.; Sakai, H.; Felip, E.; Veillon, R.; Garassino, M.C.; Raskin, J.; Cortot, A.B.; Viteri, S.; Mazieres, J.; Smit, E.F.; et al. Tepotinib Efficacy and Safety in Patients with MET Exon 14 Skipping NSCLC: Outcomes in Patient Subgroups from the VISION Study with Relevance for Clinical Practice. Clin. Cancer Res. 2022, 28, 1117–1126. [Google Scholar] [CrossRef]
  49. Gainor, J.F.; Curigliano, G.; Kim, D.W.; Lee, D.H.; Besse, B.; Baik, C.S.; Doebele, R.C.; Cassier, P.A.; Lopes, G.; Tan, D.S.W.; et al. Pralsetinib for RET fusion-positive non-small-cell lung cancer (ARROW): A multi-cohort, open-label, phase 1/2 study. Lancet Oncol. 2021, 22, 959–969. [Google Scholar] [CrossRef]
  50. Subbiah, V.; Gainor, J.F.; Oxnard, G.R.; Tan, D.S.W.; Owen, D.H.; Cho, B.C.; Loong, H.H.; McCoach, C.E.; Weiss, J.; Kim, Y.J.; et al. Intracranial Efficacy of Selpercatinib in RET Fusion-Positive Non–Small Cell Lung Cancers on the LIBRETTO-001 Trial. Clin. Cancer Res. 2021, 27, 4160–4167. [Google Scholar] [CrossRef]
  51. Li, B.T.; Smit, E.F.; Goto, Y.; Nakagawa, K.; Udagawa, H.; Mazières, J.; Nagasaka, M.; Bazhenova, L.; Saltos, A.N.; Felip, E.; et al. Trastuzumab Deruxtecan in HER2-Mutant Non–Small-Cell Lung Cancer. N. Engl. J. Med. 2022, 386, 241–251. [Google Scholar] [CrossRef] [PubMed]
  52. Yang, J.C.; Sequist, L.V.; Geater, S.L.; Tsai, C.M.; Mok, T.S.; Schuler, M.; Yamamoto, N.; Yu, C.J.; Ou, S.H.; Zhou, C.; et al. Clinical activity of afatinib in patients with advanced non-small-cell lung cancer harbouring uncommon EGFR mutations: A combined post-hoc analysis of LUX-Lung 2, LUX-Lung 3, and LUX-Lung 6. Lancet Oncol. 2015, 16, 830–838. [Google Scholar] [CrossRef] [PubMed]
  53. Riely, G.J.; Neal, J.W.; Camidge, D.R.; Spira, A.I.; Piotrowska, Z.; Costa, D.B.; Tsao, A.S.; Patel, J.D.; Gadgeel, S.M.; Bazhenova, L.; et al. Activity and Safety of Mobocertinib (TAK-788) in Previously Treated Non-Small Cell Lung Cancer with EGFR Exon 20 Insertion Mutations from a Phase I/II TrialMobocertinib in NSCLC with EGFR Exon 20 Insertions. Cancer Discov. 2021, 11, 1688–1699. [Google Scholar] [CrossRef]
  54. Park, K.; Haura, E.B.; Leighl, N.B.; Mitchell, P.; Shu, C.A.; Girard, N.; Viteri, S.; Han, J.Y.; Kim, S.W.; Lee, C.K.; et al. Amivantamab in EGFR Exon 20 Insertion-Mutated Non-Small-Cell Lung Cancer Progressing on Platinum Chemotherapy: Initial Results From the CHRYSALIS Phase I Study. J. Clin. Oncol. 2021, 39, 3391–3402. [Google Scholar] [CrossRef]
  55. Nakagawa, K.; Garon, E.B.; Seto, T.; Nishio, M.; Ponce Aix, S.; Paz-Ares, L.; Chiu, C.H.; Park, K.; Novello, S.; Nadal, E.; et al. Ramucirumab plus erlotinib in patients with untreated, EGFR-mutated, advanced non-small-cell lung cancer (RELAY): A randomised, double-blind, placebo-controlled, phase 3 trial. Lancet Oncol. 2019, 20, 1655–1669. [Google Scholar] [CrossRef] [Green Version]
  56. Sabari, J.K.; Velcheti, V.; Shimizu, K.; Strickland, M.R.; Heist, R.S.; Singh, M.; Nayyar, N.; Giobbie-Hurder, A.; Digumarthy, S.R.; Gainor, J.F.; et al. Activity of Adagrasib (MRTX849) in Brain Metastases: Preclinical Models and Clinical Data from Patients with KRASG12C-Mutant Non-Small Cell Lung Cancer. Clin. Cancer Res. 2022, 28, 3318–3328. [Google Scholar] [CrossRef]
  57. Magnuson, W.J.; Lester-Coll, N.H.; Wu, A.J.; Yang, T.J.; Lockney, N.A.; Gerber, N.K.; Beal, K.; Amini, A.; Patil, T.; Kavanagh, B.D.; et al. Management of Brain Metastases in Tyrosine Kinase Inhibitor-Naïve Epidermal Growth Factor Receptor-Mutant Non-Small-Cell Lung Cancer: A Retrospective Multi-Institutional Analysis. J. Clin. Oncol. 2017, 35, 1070–1077. [Google Scholar] [CrossRef]
  58. Dai, L.; Luo, C.Y.; Hu, G.X.; Chen, G.; Wu, C.X.; Yin, J.; Jiang, Z.Y.; Hu, G.F.; Zhao, J.; Fu, W.F. Comparative analysis of first-line treatment regimens for advanced EGFR-mutant non-small cell lung cancer patients with stable brain metastases. Ann. Palliat. Med. 2020, 9, 2062–2071. [Google Scholar] [CrossRef]
  59. Thomas, N.J.; Myall, N.J.; Sun, F.; Patil, T.; Mushtaq, R.; Yu, C.; Sinha, S.; Pollom, E.L.; Nagpal, S.; Camidge, D.R.; et al. Brain Metastases in EGFR- and ALK-Positive NSCLC: Outcomes of Central Nervous System-Penetrant Tyrosine Kinase Inhibitors Alone Versus in Combination With Radiation. J. Thorac. Oncol. 2022, 17, 116–129. [Google Scholar] [CrossRef]
  60. Weickhardt, A.J.; Scheier, B.; Burke, J.M.; Gan, G.; Lu, X.; Bunn, P.A.; Aisner, D.L.; Gaspar, L.E.; Kavanagh, B.D.; Doebele, R.C.; et al. Local ablative therapy of oligoprogressive disease prolongs disease control by tyrosine kinase inhibitors in oncogene-addicted non-small-cell lung cancer. J. Thorac. Oncol. 2012, 7, 1807–1814. [Google Scholar] [CrossRef]
  61. Goldstein, I.M.; Roisman, L.C.; Keren-Rosenberg, S.; Dudnik, J.; Nechushtan, H.; Shelef, I.; Fuchs, V.; Kian, W.; Peled, N. Dose escalation of osimertinib for intracranial progression in EGFR mutated non-small-cell lung cancer with brain metastases. Neurooncol. Adv. 2020, 2, vdaa125. [Google Scholar] [CrossRef] [PubMed]
  62. Remon, J.; Hendriks, L.E.L.; Besse, B. Paving the Way for Long-Term Survival in Non-Small-Cell Lung Cancer. J. Clin. Oncol. 2021, 39, 2321–2323. [Google Scholar] [CrossRef] [PubMed]
  63. Engelhardt, B.; Vajkoczy, P.; Weller, R.O. The movers and shapers in immune privilege of the CNS. Nat. Immunol. 2017, 18, 123–131. [Google Scholar] [CrossRef] [PubMed]
  64. Palmieri, D.; Chambers, A.F.; Felding-Habermann, B.; Huang, S.; Steeg, P.S. The biology of metastasis to a sanctuary site. Clin. Cancer Res. 2007, 13, 1656–1662. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Tawbi, H.A.; Forsyth, P.A.; Algazi, A.; Hamid, O.; Hodi, F.S.; Moschos, S.J.; Khushalani, N.I.; Lewis, K.; Lao, C.D.; Postow, M.A.; et al. Combined Nivolumab and Ipilimumab in Melanoma Metastatic to the Brain. N. Engl. J. Med. 2018, 379, 722–730. [Google Scholar] [CrossRef] [PubMed]
  66. Leibold, A.T.; Monaco, G.N.; Dey, M. The role of the immune system in brain metastasis. Curr. Neurobiol. 2019, 10, 33–48. [Google Scholar]
  67. Fakhoury, K.R.; Ney, D.E.; Ormond, D.R.; Rusthoven, C.G. Immunotherapy and radiation for high-grade glioma: A narrative review. Transl. Cancer Res. 2021, 10, 2537–2570. [Google Scholar] [CrossRef]
  68. Klemm, F.; Maas, R.R.; Bowman, R.L.; Kornete, M.; Soukup, K.; Nassiri, S.; Brouland, J.P.; Iacobuzio-Donahue, C.A.; Brennan, C.; Tabar, V.; et al. Interrogation of the Microenvironmental Landscape in Brain Tumors Reveals Disease-Specific Alterations of Immune Cells. Cell 2020, 181, 1643–1660.e1617. [Google Scholar] [CrossRef]
  69. Berghoff, A.S.; Fuchs, E.; Ricken, G.; Mlecnik, B.; Bindea, G.; Spanberger, T.; Hackl, M.; Widhalm, G.; Dieckmann, K.; Prayer, D.; et al. Density of tumor-infiltrating lymphocytes correlates with extent of brain edema and overall survival time in patients with brain metastases. Oncoimmunology 2016, 5, e1057388. [Google Scholar] [CrossRef]
  70. Mansfield, A.S.; Aubry, M.C.; Moser, J.C.; Harrington, S.M.; Dronca, R.S.; Park, S.S.; Dong, H. Temporal and spatial discordance of programmed cell death-ligand 1 expression and lymphocyte tumor infiltration between paired primary lesions and brain metastases in lung cancer. Ann. Oncol. 2016, 27, 1953–1958. [Google Scholar] [CrossRef]
  71. El Rassy, E.; Botticella, A.; Kattan, J.; Le Péchoux, C.; Besse, B.; Hendriks, L. Non-small cell lung cancer brain metastases and the immune system: From brain metastases development to treatment. Cancer Treat. Rev. 2018, 68, 69–79. [Google Scholar] [CrossRef] [PubMed]
  72. Goldberg, S.B.; Schalper, K.A.; Gettinger, S.N.; Mahajan, A.; Herbst, R.S.; Chiang, A.C.; Lilenbaum, R.; Wilson, F.H.; Omay, S.B.; Yu, J.B.; et al. Pembrolizumab for management of patients with NSCLC and brain metastases: Long-term results and biomarker analysis from a non-randomised, open-label, phase 2 trial. Lancet Oncol. 2020, 21, 655–663. [Google Scholar] [CrossRef] [PubMed]
  73. Hendriks, L.E.L.; Henon, C.; Auclin, E.; Mezquita, L.; Ferrara, R.; Audigier-Valette, C.; Mazieres, J.; Lefebvre, C.; Rabeau, A.; Le Moulec, S.; et al. Outcome of Patients with Non-Small Cell Lung Cancer and Brain Metastases Treated with Checkpoint Inhibitors. J. Thorac. Oncol. 2019, 14, 1244–1254. [Google Scholar] [CrossRef] [PubMed]
  74. Bjørnhart, B.; Hansen, K.H.; Jørgensen, T.L.; Herrstedt, J.; Schytte, T. Efficacy and safety of immune checkpoint inhibitors in a Danish real life non-small cell lung cancer population: A retrospective cohort study. Acta Oncol. 2019, 58, 953–961. [Google Scholar] [CrossRef] [PubMed]
  75. Sun, L.; Davis, C.W.; Hwang, W.T.; Jeffries, S.; Sulyok, L.F.; Marmarelis, M.E.; Singh, A.P.; Berman, A.T.; Feigenberg, S.J.; Levin, W.; et al. Outcomes in Patients With Non-small-cell Lung Cancer With Brain Metastases Treated With Pembrolizumab-based Therapy. Clin. Lung Cancer 2021, 22, 58–66.e53. [Google Scholar] [CrossRef] [PubMed]
  76. Yang, G.; Xing, L.; Sun, X. Navigate Towards the Immunotherapy Era: Value of Immune Checkpoint Inhibitors in Non-Small Cell Lung Cancer Patients With Brain Metastases. Front. Immunol. 2022, 13, 852811. [Google Scholar] [CrossRef]
  77. Gadgeel, S.M.; Lukas, R.V.; Goldschmidt, J.; Conkling, P.; Park, K.; Cortinovis, D.; de Marinis, F.; Rittmeyer, A.; Patel, J.D.; von Pawel, J.; et al. Atezolizumab in patients with advanced non-small cell lung cancer and history of asymptomatic, treated brain metastases: Exploratory analyses of the phase III OAK study. Lung Cancer 2019, 128, 105–112. [Google Scholar] [CrossRef]
  78. Sezer, A.; Kilickap, S.; Gümüş, M.; Bondarenko, I.; Özgüroğlu, M.; Gogishvili, M.; Turk, H.M.; Cicin, I.; Bentsion, D.; Gladkov, O.; et al. Cemiplimab monotherapy for first-line treatment of advanced non-small-cell lung cancer with PD-L1 of at least 50%: A multicentre, open-label, global, phase 3, randomised, controlled trial. Lancet 2021, 397, 592–604. [Google Scholar] [CrossRef]
  79. Spigel, D.R.; Chaft, J.E.; Gettinger, S.; Chao, B.H.; Dirix, L.; Schmid, P.; Chow, L.Q.M.; Hicks, R.J.; Leon, L.; Fredrickson, J.; et al. FIR: Efficacy, Safety, and Biomarker Analysis of a Phase II Open-Label Study of Atezolizumab in PD-L1-Selected Patients With NSCLC. J. Thorac. Oncol. 2018, 13, 1733–1742. [Google Scholar] [CrossRef] [Green Version]
  80. Mansfield, A.S.; Herbst, R.S.; de Castro, G.; Hui, R.; Peled, N.; Kim, D.W.; Novello, S.; Satouchi, M.; Wu, Y.L.; Garon, E.B.; et al. Outcomes With Pembrolizumab Monotherapy in Patients With Programmed Death-Ligand 1-Positive NSCLC With Brain Metastases: Pooled Analysis of KEYNOTE-001, 010, 024, and 042. JTO Clin. Res. Rep. 2021, 2, 100205. [Google Scholar] [CrossRef]
  81. Borghae, H.; Pluzanski, A.; Caro, R.B.; Provencio, M.; Burgers, S.; Carcereny, E.; Park, K.; Alexandru, A.; Lupinacci, L.; Sangha, R.; et al. Abstract CT221: Nivolumab (NIVO) + ipilimumab (IPI) as first-line (1L) treatment for patients with advanced non-small cell lung cancer (NSCLC) with brain metastases: Results from CheckMate 227. Cancer Res. 2020, 80, CT221. [Google Scholar] [CrossRef]
  82. Demaria, S.; Golden, E.B.; Formenti, S.C. Role of Local Radiation Therapy in Cancer Immunotherapy. JAMA Oncol. 2015, 1, 1325–1332. [Google Scholar] [CrossRef] [PubMed]
  83. Wang, Y.; Deng, W.; Li, N.; Neri, S.; Sharma, A.; Jiang, W.; Lin, S.H. Combining Immunotherapy and Radiotherapy for Cancer Treatment: Current Challenges and Future Directions. Front. Pharmacol. 2018, 9, 185. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Twyman-Saint Victor, C.; Rech, A.J.; Maity, A.; Rengan, R.; Pauken, K.E.; Stelekati, E.; Benci, J.L.; Xu, B.; Dada, H.; Odorizzi, P.M.; et al. Radiation and dual checkpoint blockade activate non-redundant immune mechanisms in cancer. Nature 2015, 520, 373–377. [Google Scholar] [CrossRef] [Green Version]
  85. Yang, Y.; Deng, L.; Zhang, T.; Wu, Y.; Wang, L.; Bi, N. Efficacy and Safety of Combined Brain Radiotherapy and Immunotherapy in Non-Small-Cell Lung Cancer With Brain Metastases: A Systematic Review and Meta-Analysis. Clin. Lung Cancer 2022, 23, 95–107. [Google Scholar] [CrossRef]
  86. Lehrer, E.J.; Peterson, J.; Brown, P.D.; Sheehan, J.P.; Quiñones-Hinojosa, A.; Zaorsky, N.G.; Trifiletti, D.M. Treatment of brain metastases with stereotactic radiosurgery and immune checkpoint inhibitors: An international meta-analysis of individual patient data. Radiother. Oncol. 2019, 130, 104–112. [Google Scholar] [CrossRef]
  87. Leonetti, A.; Wever, B.; Mazzaschi, G.; Assaraf, Y.G.; Rolfo, C.; Quaini, F.; Tiseo, M.; Giovannetti, E. Molecular basis and rationale for combining immune checkpoint inhibitors with chemotherapy in non-small cell lung cancer. Drug Resist. Updates 2019, 46, 100644. [Google Scholar] [CrossRef]
  88. Gadgeel, S.; Rodríguez-Abreu, D.; Speranza, G.; Esteban, E.; Felip, E.; Dómine, M.; Hui, R.; Hochmair, M.J.; Clingan, P.; Powell, S.F.; et al. Updated Analysis From KEYNOTE-189: Pembrolizumab or Placebo Plus Pemetrexed and Platinum for Previously Untreated Metastatic Nonsquamous Non-Small-Cell Lung Cancer. J. Clin. Oncol. 2020, 38, 1505–1517. [Google Scholar] [CrossRef]
  89. Powell, S.F.; Rodríguez-Abreu, D.; Langer, C.J.; Tafreshi, A.; Paz-Ares, L.; Kopp, H.G.; Rodríguez-Cid, J.; Kowalski, D.M.; Cheng, Y.; Kurata, T.; et al. Outcomes With Pembrolizumab Plus Platinum-Based Chemotherapy for Patients With NSCLC and Stable Brain Metastases: Pooled Analysis of KEYNOTE-021, -189, and -407. J. Thorac. Oncol. 2021, 16, 1883–1892. [Google Scholar] [CrossRef]
  90. Huang, Y.; Yuan, J.; Righi, E.; Kamoun, W.S.; Ancukiewicz, M.; Nezivar, J.; Santosuosso, M.; Martin, J.D.; Martin, M.R.; Vianello, F.; et al. Vascular normalizing doses of antiangiogenic treatment reprogram the immunosuppressive tumor microenvironment and enhance immunotherapy. Proc. Natl. Acad. Sci. USA 2012, 109, 17561–17566. [Google Scholar] [CrossRef] [Green Version]
  91. Nogami, N.; Barlesi, F.; Socinski, M.A.; Reck, M.; Thomas, C.A.; Cappuzzo, F.; Mok, T.S.K.; Finley, G.; Aerts, J.G.; Orlandi, F.; et al. IMpower150 Final Exploratory Analyses for Atezolizumab Plus Bevacizumab and Chemotherapy in Key NSCLC Patient Subgroups With EGFR Mutations or Metastases in the Liver or Brain. J. Thorac. Oncol. 2022, 17, 309–323. [Google Scholar] [CrossRef] [PubMed]
  92. Chu, T.; Zhong, R.; Zhong, H.; Zhang, B.; Zhang, W.; Shi, C.; Qian, J.; Zhang, Y.; Chang, Q.; Zhang, X.; et al. Phase 1b Study of Sintilimab Plus Anlotinib as First-line Therapy in Patients With Advanced NSCLC. J. Thorac. Oncol. 2021, 16, 643–652. [Google Scholar] [CrossRef] [PubMed]
  93. Li, Y.S.; Jiang, B.Y.; Yang, J.J.; Tu, H.Y.; Zhou, Q.; Guo, W.B.; Yan, H.H.; Wu, Y.L. Leptomeningeal Metastases in Patients with NSCLC with EGFR Mutations. J. Thorac. Oncol. 2016, 11, 1962–1969. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Zheng, M.M.; Li, Y.S.; Jiang, B.Y.; Tu, H.Y.; Tang, W.F.; Yang, J.J.; Zhang, X.C.; Ye, J.Y.; Yan, H.H.; Su, J.; et al. Clinical Utility of Cerebrospinal Fluid Cell-Free DNA as Liquid Biopsy for Leptomeningeal Metastases in ALK-Rearranged NSCLC. J. Thorac. Oncol. 2019, 14, 924–932. [Google Scholar] [CrossRef] [PubMed]
  95. Remon, J.; Le Rhun, E.; Besse, B. Leptomeningeal carcinomatosis in non-small cell lung cancer patients: A continuing challenge in the personalized treatment era. Cancer Treat. Rev. 2017, 53, 128–137. [Google Scholar] [CrossRef]
  96. Cheng, H.; Perez-Soler, R. Leptomeningeal metastases in non-small-cell lung cancer. Lancet Oncol. 2018, 19, e43–e55. [Google Scholar] [CrossRef] [PubMed]
  97. Wasserstrom, W.R.; Glass, J.P.; Posner, J.B. Diagnosis and treatment of leptomeningeal metastases from solid tumors: Experience with 90 patients. Cancer 1982, 49, 759–772. [Google Scholar] [CrossRef] [PubMed]
  98. Boire, A.; Brandsma, D.; Brastianos, P.K.; Le Rhun, E.; Ahluwalia, M.; Junck, L.; Glantz, M.; Groves, M.D.; Lee, E.Q.; Lin, N.; et al. Liquid biopsy in central nervous system metastases: A RANO review and proposals for clinical applications. Neuro. Oncol. 2019, 21, 571–584. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  99. Jiang, B.Y.; Li, Y.S.; Guo, W.B.; Zhang, X.C.; Chen, Z.H.; Su, J.; Zhong, W.Z.; Yang, X.N.; Yang, J.J.; Shao, Y.; et al. Detection of Driver and Resistance Mutations in Leptomeningeal Metastases of NSCLC by Next-Generation Sequencing of Cerebrospinal Fluid Circulating Tumor Cells. Clin. Cancer Res. 2017, 23, 5480–5488. [Google Scholar] [CrossRef] [Green Version]
  100. Tu, Q.; Wu, X.; Le Rhun, E.; Blonski, M.; Wittwer, B.; Taillandier, L.; De Carvalho Bittencourt, M.; Faure, G.C. CellSearch technology applied to the detection and quantification of tumor cells in CSF of patients with lung cancer leptomeningeal metastasis. Lung Cancer 2015, 90, 352–357. [Google Scholar] [CrossRef]
  101. Yang, J.C.H.; Kim, S.W.; Kim, D.W.; Lee, J.S.; Cho, B.C.; Ahn, J.S.; Lee, D.H.; Kim, T.M.; Goldman, J.W.; Natale, R.B.; et al. Osimertinib in Patients With Epidermal Growth Factor Receptor Mutation-Positive Non-Small-Cell Lung Cancer and Leptomeningeal Metastases: The BLOOM Study. J. Clin. Oncol. 2020, 38, 538–547. [Google Scholar] [CrossRef] [PubMed]
  102. Chamberlain, M.; Junck, L.; Brandsma, D.; Soffietti, R.; Rudà, R.; Raizer, J.; Boogerd, W.; Taillibert, S.; Groves, M.D.; Le Rhun, E.; et al. Leptomeningeal metastases: A RANO proposal for response criteria. Neuro. Oncol. 2017, 19, 484–492. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  103. Piper-Vallillo, A.J.; Rotow, J.K.; Aredo, J.V.; Shaverdashvili, K.; Luo, J.; Carlisle, J.W.; Husain, H.; Muzikansky, A.; Heist, R.S.; Rangachari, D.; et al. High-Dose Osimertinib for CNS Progression in EGFR+ NSCLC: A Multi-Institutional Experience. JTO Clin. Res. Rep. 2022, 3, 100328. [Google Scholar] [CrossRef] [PubMed]
  104. Geraud, A.; Mezquita, L.; Bigot, F.; Caramella, C.; Planchard, D.; Le Pechoux, C.; Besse, B. Prolonged Leptomeningeal Responses with Brigatinib in Two Heavily Pretreated ALK-Rearranged Non-Small Cell Lung Cancer Patients. J. Thorac. Oncol. 2018, 13, e215–e217. [Google Scholar] [CrossRef] [Green Version]
  105. Gainor, J.F.; Sherman, C.A.; Willoughby, K.; Logan, J.; Kennedy, E.; Brastianos, P.K.; Chi, A.S.; Shaw, A.T. Alectinib salvages CNS relapses in ALK-positive lung cancer patients previously treated with crizotinib and ceritinib. J. Thorac. Oncol. 2015, 10, 232–236. [Google Scholar] [CrossRef] [Green Version]
  106. Gainor, J.F.; Chi, A.S.; Logan, J.; Hu, R.; Oh, K.S.; Brastianos, P.K.; Shih, H.A.; Shaw, A.T. Alectinib Dose Escalation Reinduces Central Nervous System Responses in Patients with Anaplastic Lymphoma Kinase-Positive Non-Small Cell Lung Cancer Relapsing on Standard Dose Alectinib. J. Thorac. Oncol. 2016, 11, 256–260. [Google Scholar] [CrossRef] [Green Version]
  107. Network, N.C.C. Central Nervous System Cancers (Version 2.2022). Available online: https://www.nccn.org/professionals/physician_gls/pdf/cns.pdf (accessed on 23 January 2023).
  108. Le Rhun, E.; Preusser, M.; van den Bent, M.; Andratschke, N.; Weller, M. How we treat patients with leptomeningeal metastases. ESMO Open 2019, 4 (Suppl. 2), e000507. [Google Scholar] [CrossRef] [Green Version]
  109. Yang, T.J.; Wijetunga, N.A.; Yamada, J.; Wolden, S.; Mehallow, M.; Goldman, D.A.; Zhang, Z.; Young, R.J.; Kris, M.G.; Yu, H.A.; et al. Clinical trial of proton craniospinal irradiation for leptomeningeal metastases. Neuro. Oncol. 2021, 23, 134–143. [Google Scholar] [CrossRef]
  110. Yang, J.T.; Wijetunga, N.A.; Pentsova, E.; Wolden, S.; Young, R.J.; Correa, D.; Zhang, Z.; Zheng, J.; Steckler, A.; Bucwinska, W.; et al. Randomized Phase II Trial of Proton Craniospinal Irradiation Versus Photon Involved-Field Radiotherapy for Patients With Solid Tumor Leptomeningeal Metastasis. J. Clin. Oncol. 2022, 40, 3858–3867. [Google Scholar] [CrossRef]
  111. Choi, M.; Keam, B.; Ock, C.Y.; Kim, M.; Kim, T.M.; Kim, D.W.; Heo, D.S. Pemetrexed in the Treatment of Leptomeningeal Metastasis in Patients With EGFR-mutant Lung Cancer. Clin. Lung Cancer 2019, 20, e442–e451. [Google Scholar] [CrossRef]
  112. Wu, Y.L.; Zhou, L.; Lu, Y. Intrathecal chemotherapy as a treatment for leptomeningeal metastasis of non-small cell lung cancer: A pooled analysis. Oncol. Lett. 2016, 12, 1301–1314. [Google Scholar] [CrossRef] [PubMed]
  113. Lu, Z.Q.; Cai, J.; Wang, X.; Wei, J.P.; Zeng, Z.M.; Huang, L.; Liu, A.W. Osimertinib combined with bevacizumab for leptomeningeal metastasis from EGFR-mutation non-small cell lung cancer: A phase II single-arm prospective clinical trial. Thorac. Cancer 2021, 12, 172–180. [Google Scholar] [CrossRef] [PubMed]
  114. Choudhury, N.J.; Young, R.J.; Sellitti, M.; Miller, A.; Drilon, A. Lorlatinib and Bevacizumab Activity in ALK-rearranged lung cancers after lorlatinib progression. JCO Precis. Oncol. 2020, 4, PO.20.00271. [Google Scholar] [CrossRef] [PubMed]
  115. Brastianos, P.K.; Lee, E.Q.; Cohen, J.V.; Tolaney, S.M.; Lin, N.U.; Wang, N.; Chukwueke, U.; White, M.D.; Nayyar, N.; Kim, A.; et al. Single-arm, open-label phase 2 trial of pembrolizumab in patients with leptomeningeal carcinomatosis. Nat. Med. 2020, 26, 1280–1284. [Google Scholar] [CrossRef]
  116. Naidoo, J.; Schreck, K.C.; Fu, W.; Hu, C.; Carvajal-Gonzalez, A.; Connolly, R.M.; Santa-Maria, C.A.; Lipson, E.J.; Holdhoff, M.; Forde, P.M.; et al. Pembrolizumab for patients with leptomeningeal metastasis from solid tumors: Efficacy, safety, and cerebrospinal fluid biomarkers. J. Immunother. Cancer 2021, 9, e002473. [Google Scholar] [CrossRef]
  117. Ullah, A.; Leong, S.W.; Wang, J.; Wu, Q.; Ghauri, M.A.; Sarwar, A.; Su, Q.; Zhang, Y. Cephalomannine inhibits hypoxia-induced cellular function via the suppression of APEX1/HIF-1α interaction in lung cancer. Cell Death Dis. 2021, 12, 490. [Google Scholar] [CrossRef]
  118. Cheng, H.; Feng, M.; Fan, N.; Sokol, E.S.; Wang, F.; Zou, Y.; Farran, B.; Ross, J.S.; Frampton, G.M.; Bhagat, T.D.; et al. 1696O—Genomic profiling and molecular targeting of lung cancer brain metastases. Ann. Oncol. 2022, 33, S772–S784. [Google Scholar] [CrossRef]
Figure 1. Decision tree for management of brain metastases in non-small cell lung cancer. Abbreviations: non-small cell lung cancer (NSCLC); central nervous system (CNS); Karnofsky Performance Status (KPS); tyrosine kinase inhibitor (TKI); stereotactic radiosurgery (SRS); whole brain radiotherapy (WBRT); immune checkpoint inhibitor (ICI).
Figure 1. Decision tree for management of brain metastases in non-small cell lung cancer. Abbreviations: non-small cell lung cancer (NSCLC); central nervous system (CNS); Karnofsky Performance Status (KPS); tyrosine kinase inhibitor (TKI); stereotactic radiosurgery (SRS); whole brain radiotherapy (WBRT); immune checkpoint inhibitor (ICI).
Cancers 15 00844 g001
Table 1. Efficacy of Targeted Therapies in Non-small Cell Lung Cancer (NSCLC) with Central Nervous System (CNS) Metastases.
Table 1. Efficacy of Targeted Therapies in Non-small Cell Lung Cancer (NSCLC) with Central Nervous System (CNS) Metastases.
TrialPhaseSystemic TherapySetting/CNS Inclusion CriteriaSample Size (with CNS Disease)Key Results (CNS Outcomes)Publication YearReference
EGFR Typical Mutations (Exon 19 Deletions and Exon 21 L858R Mutations)
AURA 3IIIOsimertinib (Osi) vs. Platinum-based chemotherapy (chemo)T790M+ NSCLC patients with asymptomatic, stable BM following POD with prior EGFR-TKIMeasurable BM: Osi (n = 30) vs. Chemo (n = 26)
All BM:
Osi (n = 75) vs. Chemo (n = 41)
All BM: CNS ORR, Osi (40%) vs. chemo (17%), OR 3.24 (p = 0.014)
CNS median DOR: Osi (8.9 mo) vs. Chemo (5.7 mo)
Median iPFS: Osi (11.7 mo) vs. Chemo (5.6 mo)
Median PFS: Osi (8.5 mo) vs. Chemo (4.2 mo); HR 0.32; 95% CI: 0.21–0.49)
2018[25]
FLAURAIIIOsimertinib (Osi) vs. SOC EGFR-TKI Treatment-naïve EGFR-mutated NSCLC
Patients with asymptomatic or stable BM
Symptomatic pts must have stable neurologic status ≥ 2 weeks following definitive local therapy
Measurable BM: Osi (n = 22), SOC EGFR-TKI (n = 19)
All BM:
Osi (n = 61) vs. SOC EGFR-TKI (n = 67)
All BM CNS ORR:
Osi (66%) vs. SOC EGFR-TKI (43%)
CNS Median DOR: Osi (15.2 mo) vs. SOC EGR-TKI (18.7 mo)
Median iPFS: Osi (NR) vs. SOC EGFR-TKI (13.9 mo)
PFS at 18 months: 58% (95% CI: 40–72) in osimertinib group
OS (BM subgroup): HR 0.83 (0.53–1.30)
2018[26]
EGFR Exon 20 Insertion
NCT02716116I, II MobocertinibPreviously treated
Patients with active and symptomatic BM included
N = 12CNS ORR: N/A
Overall CNS ORR: 25%, among the patients with BM
2021[25]
Combined EGFR and VEGF Inhibition
NEJ026IIIErlotnib vs. Erlotinib/bevacizumabEGFR-positive advanced NSCLC
Patients with BM requiring anti-edema drugs excluded
All BM:
Erlotnib (n = 36) vs. Erlotinib/bevacizumab (n = 36)
OS (BM subgroup): HR 0.839 (0.432–1.629)2021[27]
ALK Rearrangement
NCT02075840IIAlectinibDisease progression on crizotinib
Patients with stable, treated brain and/or leptomeningeal metastases or asymptomatic untreated brain and/or leptomeningeal metastases were allowed
All BM (n = 84)CNS ORR 57% (95% CI, 39% to 74%)
CNS disease control rate 83% (95% CI, 74% to 91%),
CNS DOR was 10.3 months (95% CI, 7.6 to 11.2 months)
CNS CR in 43% of patients with baseline CNS metastases
2016[28]
ALEXIIIAlectinib vs. CrizotinibTreatment of naïve patients with asymptomatic BM (treatment with local therapy allowed)All BM:
Alectinib (n = 64) vs. Crizotinib (n = 58)
Measurable BM: Alectinib (n = 21) vs. Crizotinib (n = 22)
All BM: CNS ORR, Alectinib (36%) vs. Crizotinib (28.6%) with prior radiation; Alectinib (74.4%) vs. Crizotinib (24.3%) without prior radiation
CNS Median DOR: Alectinib (NR) vs. Crizotinib (17.3 mo)
2018[29]
J-ALEXIIIAlectinib vs. CrizotinibTreatment naïve, or failed one line of chemotherapy regimen
Asymptomatic BM (treated or untreated allowed)
Alectinib (n = 14) vs. Crizotinib (n = 29)Time to CNS progression (alectinib superior): HR = 0.51, p = 0.2502 with baseline BM vs. HR = 0.19, p = 0.0004 without baseline BM
1-year CNS Cumulative Incidence Rate: Alectinib (5.9%) vs. Crizotinib (16.8%)
2018[30]
ALTAIIBrigatinib (Arm A—90 mg QD, Arm B—180 mg QD)Disease progression on crizotinib All BM: 154CNS ORR 42% in arm A and 67% in arm B2018[31]
ALTA-1LIIIBrigatinib vs. CrizotinibTreatment-naïve
Patients with asymptomatic or stable BM not requiring steroids or anticonvulsive therapy 7 days prior to randomization
All BM: Brigatinib (n = 47) vs. Crizotinib (n = 49)
Measurable BM: Brigatinib (n = 18) vs. Crizotinib (n = 23)
Measurable BM: CNS ORR, Brigatinib (78%) vs. Crizotinib (26%), OR 11.67 (p = 0.0014)
Median iPFS: Brigatinib (24 mo) vs. Crizotinib (5.6 mo) in patients with baseline BM; 32.3 mo (Brigatinib) vs. Crizotinib (NR) in patients without baseline BM
2020[31,32]
ASCEND-4IIICeritinib vs. Platinum-based chemotherapyTreatment-naïve
Patients with asymptomatic brain metastases (prior treatment allowed)
All B: Ceritinib (n = 59) vs. Chemotherapy (n = 80)CNS ORR ceritinib (72.7%) vs. chemotherapy (27.3%)
Median CNS DOR ceritinib (16.6 mo-NR) vs. chemotherapy (NE)
2017[33]
ASCEND-5IIICeritinib vs. Single-agent chemotherapyProgression following crizotinib and platinum-based doublet chemotherapy
Patients with brain metastases
All BM: Ceritinib (n = 47) vs. chemotherapy (n = 48)CNS ORR ceritinib (35%) vs. chemotherapy (5%)
DOR ceritinib 6.9 mo (95% CI 2·7–8·3 vs. chemotherapy (not evaluable)
2017[34]
NCT01970865IILorlatinibTreatment-naïve (cohort 1), progression on crizotinib (cohort 2), progression on crizotinib and chemotherapy (cohort 3), progression on non-crizotinib ALK inhibitor +/- chemotherapy, progression on 2 or 3 non-crizotinib ALK inhibitors +/- chemotherapy (cohort 4)
Patients with asymptomatic BM (prior treatment allowed)
All BM: 141
Measurable BM: cohort 1 (n = 3), cohort 2 (n = 23), cohort 3 (n = 9), cohort 4 (n = 49)
CNS ORR cohort 1 (66.7%), cohort 2 (87%), cohort 3 (55.6%), cohort 4 (53.1%)
Median DOR (months), cohort 1 [NR (NR–NR)], cohort 2 [NR (8·4–NR)], cohort 3 [NR (4·1–NR)],
2018, 2021[35,36]
CROWNIIILorlatinib vs. CrizotinibTreatment-naïve
Patients with asymptomatic BM (prior treatment allowed)
All BM: Lorlatinib (n = 38) vs. Crizotinib (n = 40)
Measurable BM: Lorlatinib (n = 17) vs. Crizotinib (n = 13)
All BM: CNS ORR, Lorlatinib (66%) vs. Crizotinib (20%); OR 8.41 (95% CI: 2.59–27.23)
Measurable BM: CNS ORR, Lorlatinib (82%) vs. Crizotinib (23%); OR 16.83 (95% CI: 1.95–163.23)
12-month iPFS: Lorlatinib (95%) vs. Crizotinib (60%); HR 0.07 (95% CI: 0.03–0.17)
2020[37]
ROS1 Rearrangement
ALKA-372-001 STARTRK-1
STARTRK-2
I or IIEntrectinibTreatment- naïve and previously treated
Patients with asymptomatic or stable BM with pretreatment
All BM (n = 46)
Measurable BM (n = 24)
All BM: CNS ORR, 52.2%; Median DOR: 12.9 mo; iPFS: 8.3 mo
Measurable BM: CNS ORR, 79.2%; Median DOR: 12.9 mo; iPFS: 12 mo
2021[38]
NCT01970865IILorlatinibTreatment- naïve and previously treated
Patients with asymptomatic BM (prior treatment allowed)
Treatment-naïve (n = 11)
Previously treated (n = 24)
Treatment-naïve: CNS ORR, 64%; Median DOR: NR (95% CI: 5.7 to NR)
Previously treated: CNS ORR, 50%; Median DOR: NR (95% CI: 11.0 to NR)
2019[39]
TRIDENT-1IIRepotretinibTreatment- naïve and previously treated
Patients with asymptomatic BM (prior treatment allowed) and/or asymptomatic leptomeningeal disease included
Treatment- naïve (n = 3)
Previously treated (n = 4)
Treatment- naïve: CNS ORR, 100% (3/3)
Previously treated: CNS ORR, 50% (2/4)
2019[40]
KRAS G12C
CodeBreak 100IISotorasibPreviously treated
Patients with active BMs were excluded
N = 26No CNS results reported2021[41]
KRYSTAL-1IAdagrasibPreviously treated
Patients with active and/or stable previously treated BMs included
N = 42CNS ORR 33%2022[42]
BRAF V600E Mutation
NCT01336634IIDabrafenib and trametinibTreatment -naïve and previously treated patients
Patients with asymptomatic BM (if untreated, BM must be <1 cm, and if treated, must be stable for at least 3 weeks prior to enrollment)
All BM: (n = 3); Treatment naïve (n = 2) vs. Previously treated (n = 1)Treatment- naïve group: (n = 2), best response of non-CR or non-PD reported
Previously treated: (n = 1), N/A
2016, 2017[43,44]
NTRK1/2/3 Gene Fusion
ALKA-372-001
STARTRK-1 STARTRK-2
I or IIEntrectinibTRK inhibitor-naïve patients
Patients with asymptomatic BMs (prior treatment allowed)
All BM: (n = 16)
Measurable BM: (n = 8)
All BM: CNS ORR, 50%;
Median iPFS: 8.9 mo
Measurable BM: CNS ORR, 62.5%; Median iPFS 10.1 mo
2020[45]
NCT02576431, NCT02637687I or IILarotrectinibNon-primary CNS malignancy with BM or primary CNS malignancy
Patients with asymptomatic BM
All BM: (n = 5)
BM in lung cancer: (n = 3)
All BM: CNS ORR, 60%2019[46]
MET Exon 14 Skipping
GEOMETRYIICapmatinibTreatment-naïve and previously treated patients
Patients with non-enlarging BM (steroids therapy allowed, but no dose escalation in 2 weeks before enrollment)
All BM: (n = 13)CNS ORR: 54%2020[47]
VISIONIITepotinibTreatment-naïve and previously treated patients
Patients with asymptomatic BM
All BM: (n = 15)
Measurable BM: (n = 7)
CNS ORR: 71% (5/7)
CNS DOR: 87% (13/15)
2022[48]
RET Rearrangement
ARROWI or IIPralsetinibTreatment-naïve and previously treated patients
Patients with stable, non-enlarging BM and absence of neurologic symptoms
Measurable BM (n = 9)CNS ORR: 56%, all complete responders2021[49]
LIBRETTO-001I or IISelpercatinibTreatment-naïve and previously treated patients
Patients with stable neurologic diseases at baseline (steroids allowed, 14 days before enrollment; no neurosurgery or radiation for 28 days; SRS allowed, 14 days before enrollment)
Measurable BM (n = 22)Overall CNS ORR 81.8%; Prior RT (85.7%) vs. RT-naïve (75%)
CNS Median DOR: 9.4 mo
2021[50]
ERBB2 (HER2) Mutation Positive
DESTINY-Lung01IITrastuzumab DeruxtecanPatients with asymptomatic brain metastases
Progression following standard of care
BM (n = 33)PFS was 7.1 mo (95% CI, 5.5 to 9.8) and OS 13.8 mo (95% CI, 9.8 to 20.9)
No CNS-specific outcomes
2022[51]
Abbreviations: non-small cell lung cancer (NSCLC); progression of disease (POD); tyrosine kinase inhibitor (TKI); brain metastases (BM); central nervous system (CNS); objective response rate (ORR); odds ratio (OR); duration of response (DOR); intracranial progression-free survival (iPFS); progression-free survival (PFS); hazard ratio (HR); confidence interval (CI); standard of care (SOC); overall survival (OS); complete response (CR); not reached (NR); radiotherapy (RT).
Table 2. Efficacy of Immune Checkpoint Inhibitor (ICI) Monotherapy in Non-small Cell Lung Cancer (NSCLC) with Central Nervous System (CNS) Metastases.
Table 2. Efficacy of Immune Checkpoint Inhibitor (ICI) Monotherapy in Non-small Cell Lung Cancer (NSCLC) with Central Nervous System (CNS) Metastases.
TrialPhaseSystemic TherapySetting/CNS
Inclusion Criteria
Sample Size (with CNS Disease)Key Results Publication YearReference
NCT 02085070IIPembrolizumabPD-1 or PD-L1 therapy-naïve
Patients with >1 asymptomatic BM (5–20 mm) which was not previously treated or with unequivocal PD following local therapy
PD-L1 ≥ 1% (n = 37)
PD-L1 < 1% (n = 5)
PD-L1 ≥ 1%:
CNS ORR, 29.7%
iPFS: 2.3 mo
Median CNS DOR: 5.7 mo
PFS: 1.9 mo
OS: 9.9 mo
PD-L1 < 1%:
CNS ORR (0%)
PFS: NR
OS: NR
2020[72]
OAK IIIAtezolizumab vs. DocetaxelPDL-1 unselected, previously treated advanced or metastatic NSCLC
Patients with asymptomatic treated BM
All BM: Atezolizumab (n = 61) vs. Docetaxel (n = 62)Time to radiographic identification of new symptomatic BM: NR (Atezolizumab) vs. 9.5 mo (HR 0.38, 95% CI: 0.16–0.91)
OS: 16.0 mo vs. 11.9 mo (HR = 0.74, p = 0.1633), atezolizumab vs. chemotherapy, respectively
2019[77]
EMPOWER-Lung 1IIICemiplimab vs. Platinum doublet chemotherapyStage IIIB/C, IV squamous or nonsquamous NSCLC with PD-L1 > 50%
Patients with asymptomatic BM (prior treatment allowed)
Cemiplimab (n = 34) vs. Chemotherapy (n = 34)CNS outcomes not reported
PFS: HR = 0.45 (favoring cemiplimab)
OS: HR = 0.17 (favoring cemiplimab)
2021[78]
FIR II Atezolizumab Previously treated
Patients with asymptomatic or treated brain metastases
Atezolizumab (n = 13)CNS outcomes not reported
sORR: 23%
PFS: 4.3 mo
OS: 6.8 mo
2018[79]
Post hoc analysis of data from KEYNOTE-001, 010, 024, 042Post hoc analysis Pembrolizumab vs. Chemotherapy Previously treated or untreated PD-L1 positive NSCLC
Patients with asymptomatic BM
Pembrolizumab: (n = 199)
Chemotherapy (n = 94)
PD-L1 ≥ 50% (IO vs. Chemo, respectively):
sORR 33.9% vs. 4.6%
PFS: 4.1 mo vs. 4.6 mo
OS: 19.7 mo vs. 9.7 mo
PD-L1 ≥ 1%:
sORR: 26.1% vs. 18.1%
PFS: 2.3 mo vs. 5.2 mo
OS: 13.4 mo vs. 10.3 mo
2021[80]
Abbreviations: brain metastases (BM); progressive disease (PD); central nervous system (CNS); objective response rate (ORR); intracranial progression-free survival (iPFS); duration of response (DOR); progression-free survival (PFS); overall survival (OS); not reached (NR); hazard ratio (HR); confidence interval (CI); systemic objective response rate (sORR).
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

D’Aiello, A.; Miao, E.; Cheng, H. Advances in the Management of Central Nervous System Metastases in Non-Small Cell Lung Cancer. Cancers 2023, 15, 844. https://doi.org/10.3390/cancers15030844

AMA Style

D’Aiello A, Miao E, Cheng H. Advances in the Management of Central Nervous System Metastases in Non-Small Cell Lung Cancer. Cancers. 2023; 15(3):844. https://doi.org/10.3390/cancers15030844

Chicago/Turabian Style

D’Aiello, Angelica, Emily Miao, and Haiying Cheng. 2023. "Advances in the Management of Central Nervous System Metastases in Non-Small Cell Lung Cancer" Cancers 15, no. 3: 844. https://doi.org/10.3390/cancers15030844

APA Style

D’Aiello, A., Miao, E., & Cheng, H. (2023). Advances in the Management of Central Nervous System Metastases in Non-Small Cell Lung Cancer. Cancers, 15(3), 844. https://doi.org/10.3390/cancers15030844

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop