Next Article in Journal
Interaction of Arginine-Rich Cell-Penetrating Peptides with an Artificial Neuronal Membrane
Next Article in Special Issue
An In-Vitro Study of the Expansion and Transcriptomics of CD4+ and CD8+ Naïve and Memory T Cells Stimulated by IL-2, IL-7 and IL-15
Previous Article in Journal
Modelling α-Synuclein Aggregation and Neurodegeneration with Fibril Seeds in Primary Cultures of Mouse Dopaminergic Neurons
Previous Article in Special Issue
Tissue-Specific Expression of TIGIT, PD-1, TIM-3, and CD39 by γδ T Cells in Ovarian Cancer
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Cells
Volume 11
Issue 10
10.3390/cells11101639
cells-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Peripheral Blood Mononuclear Cell Populations Correlate with Outcome in Patients with Metastatic Breast Cancer

by
Anna-Maria Larsson
1,
Olle Nordström
2,
Alexandra Johansson
1,
Lisa Rydén
1,3,
Karin Leandersson
4 and
Caroline Bergenfelz
2,*
1
Division of Oncology, Department of Clinical Sciences Lund, Lund University, SE-223 81 Lund, Sweden
2
Experimental Infection Medicine, Department of Translational Medicine, Lund University, SE-214 28 Malmö, Sweden
3
Department of Surgery, Skåne University Hospital, SE-223 81 Lund, Sweden
4
Cancer Immunology, Department of Translational Medicine, Lund University, SE-214 28 Malmö, Sweden
*
Author to whom correspondence should be addressed.
Cells 2022, 11(10), 1639; https://doi.org/10.3390/cells11101639
Submission received: 23 March 2022 / Revised: 4 May 2022 / Accepted: 11 May 2022 / Published: 13 May 2022
(This article belongs to the Collection Trends and Advances in Tumor Immunology)
Browse Figures
Review Reports Versions Notes

Abstract

:
Local tumor-associated immune cells hold prognostic and predictive value in various forms of malignancy. The role of systemic, circulating leukocytes is, however, not well-characterized. In this prospective and explorative study, we aim to delineate the clinical relevance of a broad panel of circulating immune cells in 32 patients with newly diagnosed metastatic breast cancer (MBC) before the start of systemic treatment. Freshly isolated peripheral blood mononuclear cells (PBMCs) were analyzed by flow cytometry and evaluated for potential associations to clinicopathological variables and patient outcome. We show that the levels of specific circulating leukocyte populations are associated with clinical parameters such as hormone receptor status, histological subtype, number of circulating tumor cells (CTCs) and metastatic burden. Importantly, high levels of CD8+ cytotoxic T lymphocytes (CTLs) are significantly linked to improved overall survival (OS). In patients with estrogen receptor (ER)-positive primary tumors, high levels of circulating CTLs and non-classical (CD14+CD16++) monocytes were associated with improved OS, whereas in patients with ER-negative tumors low levels of circulating natural killer (NK) cells potentially associate with improved OS. We propose that the levels of specific circulating immune cell populations, such as CD8+ CTLs, may be used to predict clinical outcomes in MBC patients. Thus, larger studies are warranted to validate these findings.

1. Introduction

Breast cancer is the most common malignancy in women worldwide [1]. Due to improvements in early diagnosis and adjuvant therapy, early-stage localized breast cancer is considered curable in approximately 70–80% of patients [2], while 20–30% of the patients will develop metastatic disease with dissemination to distant organs [1,2]. Metastatic breast cancer (MBC) is treatable, but in most cases not curable, and accounted for more than 500,000 deaths globally in 2015 [1]. With the emerging use of new targeted therapies, there is an urgent need to improve current, and identify novel, prognostic and treatment predictive markers to personalize treatment strategies in MBC patients [3].
Over the past decades, the role of the immune microenvironment in breast cancer development and progression has become increasingly recognized [2,4]. High numbers of tumor-infiltrating lymphocytes (T-, B-, natural killer [NK] and NKT cells) are generally associated with more favorable clinical outcomes in breast cancer, especially in patients with HER2-positive and triple-negative tumors [5,6,7,8,9,10,11,12] but also in estrogen receptor (ER) positive disease [13]. In contrast, tumor-infiltrating myeloid cells (e.g., tumor-associated macrophages [TAMs] and dendritic cells [DCs]) are generally associated with poor prognosis [14,15,16,17]. The clinical significance of systemic, circulating immune cell subpopulations is, however, less clear.
As of today, only a handful of studies have examined the association of circulating immune cell populations with clinical parameters and/or outcomes in breast cancer patients, especially in MBC patients [18]. Furthermore, the majority of studies utilize cryopreserved peripheral blood mononuclear cells (PBMCs), which may affect viability, as well as surface marker expression, on PBMCs [19,20,21]. In two recent studies, we report that peripheral blood monocytic myeloid-derived suppressor cells (Mo-MDSCs; CD14+HLA-DRlow/− cells) are enriched in MBC patients compared to healthy donors and that high levels of Mo-MDSCs correlate with ER-negativity, metastatic disease at the initial breast cancer diagnosis (de novo MBC) and with worse outcome [22,23]. Similarly, in patients with HER2-positive MBC, high levels of circulating CD4+ and CD3+ T lymphocytes are associated with worse survival (progression-free and overall survival, respectively) [24]. In addition, a low monocyte-to-lymphocyte ratio was associated with improved overall survival in MBC patients, particularly in patients with hormone receptor and HER2-negative (triple-negative) breast cancer [25]. A high frequency of TNFα-producing myeloid dendritic cells (MDCs), but not total DC, MDC or plasmacytoid dendritic cell (PDC) levels, associated with worse overall survival in patients with locally advanced or metastatic inflammatory breast cancer [26]. In MBC patients receiving high-dose chemotherapy, high frequencies of mature CD14+HLA-DR+ monocytes, as well as specific subpopulations of CD8+ and CD4+ T lymphocytes, are associated with longer breast cancer-specific survival [27]. We have previously shown that systemic treatment, including chemotherapy and endocrine therapy, affect the levels of circulating immune cell populations [28]. Whether the frequencies of specific circulating immune cell populations at baseline, before start of systemic treatment, hold prognostic or treatment predictive value is not well-characterized in MBC patients.
In this prospective observational study, we explore the systemic immune response by analyzing circulating mononuclear immune cell populations from 32 patients with newly diagnosed MBC, before the start of systemic treatment, with the aim of assessing whether specific immune cell populations correlate with clinical parameters or outcome. To our knowledge, this is the first study to comprehensively characterize the clinical relevance of a broad panel of lymphocyte and myeloid cell populations in fresh blood (not cryopreserved) from MBC patients in association with clinical parameters and patient outcome.

2. Materials and Methods

2.1. Patients

This is a sub-study of the prospective observational CTC-MBC trial (ClinicalTrials.gov NCT01322893) and clinical information regarding the CTC-MBC study has previously been published [29]. Thirty-two patients with newly diagnosed MBC were included in this study (see Supplementary Table S1 for clinical information regarding the specific patients included in the current study). Data regarding the median percentages of monocytes, T lymphocytes, B lymphocytes, NK cells, NKT cells, MDC1, MDC2 and PDCs from the first 23 patients have previously been published in relation to median percentages from healthy donors, but no associations were made to clinical parameters [22].
Circulating tumor cells (CTCs) were detected as previously described [29]. Briefly, CTCs were enumerated in blood samples within 96 h of collection using the CellSearch system (Menarini Silicon Biosystems, Bologna, Italy) and the established cut-off at five CTCs was used for dichotomization into high/low groups [29]. Data regarding all CD14+ monocytes, not separating in CD16+/−subpopulations, as well as CD14+HLA-DRlow/− Mo-MDSCs from these patients, have previously been analyzed in relation to heathy donors and to clinical parameters [23].
An ethical permit was obtained from the Research Ethics Committee at Lund University (Dnr 2010/135, Dnr 2010/477 and Dnr 2011/748). All patients signed a written informed consent, and the study was performed in accordance with good clinical practice (GCP) and the Declaration of Helsinki. The primary endpoint in the original study was progression-free survival (PFS) and overall survival (OS) was a secondary endpoint.

2.2. Cell Isolation

Peripheral blood samples were drawn in EDTA-coated tubes prior to the start of systemic therapy. All blood samples were analyzed within 24 h. The samples were diluted 1:2 in sterile phosphate buffered saline (PBS) supplemented with 2mm EDTA and 2.5% (w/v) sucrose [PBS/EDTA/sucrose], overlaid on Ficoll-Paque Plus (GE Healthcare, Uppsala, Sweden) and centrifuged with the brakes off at 400× g for 30 min at room temperature. Peripheral blood mononuclear cells (PBMCs) were collected and washed in PBS/EDTA/sucrose at 350× g, 4 °C for 7 min.

2.3. Flow Cytometry

From 10,000–50,000 cells were subsequently stained for flow cytometry for a total of 20–30 min at 4 °C in a FACS buffer (PBS supplemented with 3% fetal bovine serum and 0.1% sodium azide). All antibodies have been used in previously published studies [22,28] and were carefully evaluated and titrated before use. Antibodies used (with clones and dilutions) are specified in Supplementary Table S2. Due to variable sample volumes, we were not able to perform all analyses on all patients (see Supplementary Table S3). All analyses were performed using FACS Calibur (BD Biosciences, San Jose, CA, USA) and on gated viable (as assessed by 7AAD-negativity) PBMCs (excluding contaminating granulocytes) using the Cell-Quest pro software (version 6.0, BD).

2.4. Statistical Analyses

All statistical analyses were performed using SPSS Statistics (version 27, IBM, Armonk, NY, USA) and STATA (version 16.1, StataCorp, College Station, TX, USA). Patients were dichotomized into either “high” or “low” groups, based on the median level (i.e., the percentage) of indicated immune cell populations (Supplementary Table S3). Pearson’s chi-square test or Fisher’s exact test (when the expected counts were less than five in at least one cell) were used to compare categorical patient and tumor characteristics in relation to “high” or “low” levels of immune cells. Progression-free (PFS) and overall survival (OS) were analyzed by log-rank test and visualized by Kaplan-Meier curves. In addition, for CD8+ CTLs, uni- and multivariable Cox regression analyses (adjusting for age, ECOG status, Nottingham histological grade (NHG), primary tumor histological subtype, metastasis-free interval (MFI), number of metastases and presence of visceral metastasis) were performed. p-values < 0.05 were considered significant.

3. Results

3.1. Patient Characteristics

This is a sub-study of a larger prospective study comprising 156 patients with newly diagnosed MBC. Clinical information regarding this cohort has previously been published [29]. Immune cell populations from 32 patients with newly diagnosed MBC were analyzed in this prospective and explorative study. The sub-cohort is representative of the full cohort and shows no significant discrepancies with regards to baseline clinicopathological variables (age, ECOG, NHG, subtype, no. of metastatic loci, metastasis-free interval, visceral metastasis, number of CTCs and CTC-clusters; data not shown). The median age at MBC diagnosis of the included patients in the sub-cohort was 63 years (SEM ± 1.8 years, range 43–84 years, Supplementary Table S1). Regarding the immunohistochemistry (IHC) status of the primary tumor, 20 patients (62.5%) had estrogen receptor (ER)-positive primary tumors, whereas eight (25%) had ER-negative primary tumors. Five patients (15.6%) had HER2-positive primary tumors and four (12.5%) had triple-negative primary tumors (Supplementary Table S1). At MBC diagnosis, 13 patients (40.6%) had three or more metastatic sites. Twenty-five patients (78.1%) had bone metastases, 19 patients (59.4%) had visceral involvement, 12 patients (37.5%) had lymph node metastases, 12 patients (37.5%) had lung metastases and 9 (28.1%) had liver metastases (Supplementary Table S1). Five patients (15.6%) had de novo MBC at initial diagnosis, whereas 27 (84.4%) were diagnosed with distant recurrent MBC. The median metastasis-free interval for the included patients in the sub-cohort was five years (SEM ± 1.2 years). The median follow-up time was 54 months (range 49–83).

3.2. Associations between the Levels of Circulating T Lymphocyte Populations and Clinicopathological Variables

In a previous study, comprising the first 23 patients in the present study, we found that MBC patients have significantly lower levels of peripheral blood CD3+ T lymphocytes, NK cells, NKT cells, MDC1 and MDC2 compared to healthy donors [22]. Expanding on these findings in a larger cohort, we here investigated whether the levels of systemic, circulating immune cell populations associate with clinical parameters or survival. All peripheral blood samples were drawn before starting systemic therapy and the frequencies of peripheral blood mononuclear cell (PBMC) populations were analyzed by flow cytometry (see Figure 1 for gating strategies and Supplementary Table S2 for antibodies used). Due to variable sample volumes, we were not able to perform all analyses on all patients (see Supplementary Table S3). The patient groups were then dichotomized into “high” or “low” based on the median percentage of indicated immune cell population (Supplementary Table S3). To determine the clinical relevance of circulating leukocyte populations, we first compared clinicopathological variables in patients with “high” versus “low” levels of specified leukocyte population (Supplementary File S1).
For all CD3+ T lymphocytes and CD4+ T-helper (Th) lymphocytes, there were no significant associations between patients with high and low levels regarding clinicopathological variables such as age, tumor histological subtype, Nottingham histological grade, tumor size, hormone receptor status, number or localization of metastases or type of MBC (MBC at initial breast cancer diagnosis [de novo MBC] or distant recurrent MBC, Supplementary File S1). However, a significant correlation between high levels of CD8+ cytotoxic T lymphocytes (CTLs) and ER- and progesterone-receptor (PR) status in the primary tumor was observed (p = 0.033 and p = 0.001, respectively, Table 1 and Supplementary File S1). Furthermore, low CTL levels correlated significantly to death (Table 1 and Supplementary File S1). The levels of circulating regulatory T cells (Tregs) associated with primary tumor histological subtype (p = 0.049) and Nottingham histological grade (p = 0.021, Table 1 and Supplementary File S1). When analyzing the levels of CD8+ CTLs and CD4+ Th lymphocytes within all CD3+ T lymphocytes, high levels of CD8+ CTLs correlated with age (<65y, p = 0.013), positive PR and HER2 status of the primary tumor (p = 0.004 and p = 0.045, respectively), as well as with a type of MBC (de novo MBC, p = 0.043, Supplementary File S1). High levels of CD4+ Th lymphocytes within all CD3+ T lymphocytes associated with negative PR status of the primary tumor, as well as of the metastasis (p = 0.00005 and p = 0.047, respectively, Table 1 and Supplementary File S1).

3.3. Associations between the Levels of B Lymphocytes, NK or NKT Cells and Clinicopathological Variables

When analyzing patients with high or low levels of circulating B lymphocytes, high levels of CD19+ B lymphocytes associated with metastatic burden (≥3 metastatic sites, p = 0.047) and higher levels of circulating tumor cells (CTCs, ≥5 CTCs at baseline, p = 0.047, Table 1 and Supplementary File S1). The levels of CD56+CD3− NK cells associated with primary tumor histological subtype and PR status (p = 0.050 and p = 0.038, respectively), whereas there were no significant associations between patients with high and low levels of CD56+CD3+ NKT cells regarding the analyzed clinical variables (Supplementary File S1).

3.4. Associations between the Levels of Monocyte Populations and Clinicopathological Variables

According to our previous study, circulating Mo-MDSCs, but not all CD14+ monocytes, associate with specific clinical parameters and with worse outcome [22,23]. However, as MBC patients tend to have higher levels of CD16+ monocyte populations (intermediate and non-classical monocytes) compared to healthy donors [22], we here analyzed the association between monocyte subpopulations (CD14++CD16− classical monocytes, CD14++CD16+/++ intermediate monocytes and CD14+CD16++ non-classical monocytes) and clinical parameters, something that was not previously done. An inverse association between the levels of classical monocytes and primary tumor PR status was observed (p = 0.006), whereas the levels of non-classical monocytes associated with performance status (Eastern Cooperative Oncology Group [ECOG] status, p = 0.023, Table 1 and Supplementary File S1). No other significant difference was observed between patients with high or low levels of these monocyte populations regarding clinical parameters. However, patients with high levels of intermediate monocytes tended to have more CTCs (≥ 5 CTCs at baseline, p = 0.034, Table 1 and Supplementary File S1).

3.5. Associations between the Levels of Peripheral Blood Dendritic Cell Populations and Clinicopathological Variables

When analyzing the potential associations between the levels of circulating dendritic cell populations (BDCA-1+ MDC1, BDCA-3+ MDC2 and BDCA-2+ PDCs) with clinical parameters, there were no significant differences between patients with high or low levels of MDC2 and PDC for either clinical parameter investigated. High levels of circulating MDC1, however, associated with primary tumor histological subtype (higher prevalence of lobular breast cancer, p = 0.007), whereas low levels of MDC1 correlated with visceral metastases (p = 0.038, Table 1 and Supplementary File S1).

3.6. High Levels of Circulating CTLs Associate with Improved Overall Survival

To investigate the prognostic impact of the analyzed circulating immune cell populations, we used Kaplan–Meier curves to visualize and a log-rank test to compare progression-free survival (PFS) and overall survival (OS) in patients with high or low levels of indicated immune cell population (Figure 2, Figure 3 and Figure 4 and Supplementary Figure S1).
The 16 patients with high levels of CD8+ CTLs had a tendency toward improved PFS (p = 0.068, estimated median PFS for patients with high and low levels of CTLs; 20.9 months 95% CI 16.7–25.2 and 10.2 months 95% CI 0.0–29.8, respectively, Figure 2B left panel). Regarding OS, patients with high levels of CD8+ CTLs had a significantly improved OS compared to patients with low levels of CTLs (p = 0.003, estimated median OS for patients with high and low levels of CTLs; 54.2 months 95% CI 36.2–72.2 and 28.1 months 95% CI 7.3–48.8, respectively, Figure 2B right panel). A non-significant association was also observed between high levels of all T lymphocytes (CD3+ cells) and improved OS (p = 0.074, estimated median OS for patients with high and low levels of T lymphocytes; 44.2 months 95% CI 39.8–48.6 and 19.8 months 95% CI 0.0–65.6, respectively, Figure 2A right panel). No other significant associations to PFS nor OS were observed for patients with high or low levels of CD4+ Th lymphocytes, Tregs, CD4+/CD8+ T cell ratio, B lymphocytes, NK cells or NKT cells (Figure 2 and Figure 3 and Supplementary Figure S1A).

3.7. Low levels of Intermediate Monocytes Associate with Improved Progression-Free Survival

When analyzing different monocyte subpopulations, we found that low levels of intermediate monocytes (CD14++CD16+/++, N = 13) associated with improved PFS (p = 0.041, estimated median PFS for patients with low and high levels of intermediate monocytes; 24.9 months 95% CI 11.6–38.3 and 8.5 months 95% CI 0.9–16.2, respectively, Figure 4B left panel), whereas there was no significant association to OS (Figure 4B right panel). A non-significant trend was also observed for high levels of non-classical monocytes (CD14+CD16++, N = 14) and improved PFS (p = 0.054, estimated median PFS for patients with high and low levels of non-classical monocytes; 21.2 months 95% CI 12.7–29.6 and 5.6 months 95% CI 3.9–7.4, respectively, Figure 4C left panel), as well as improved OS (p = 0.060, estimated median OS for patients with high and low levels of non-classical monocytes; 44.2 months 95% CI 39.8–48.6 and 19.8 months 95% CI 0.0–65.6, respectively, Figure 4C right panel).

3.8. High Levels of MDC2 Associate with Improved Progression-Free Survival

When analyzing different dendritic cell populations, we found that high levels of circulating MDC2 associated significantly with improved PFS (p = 0.050, estimated median PFS for patients with high and low levels of MDC2; 22.3 months 95% CI 14.4–30.1 and 10.8 months 95% CI 4.6–17.1, respectively, Supplementary Figure S1C left panel), but not to OS (p = 0.526, Supplementary Figure S1C right panel). No other trends were observed for patients with high or low levels of MDC1 or PDC regarding associations to PFS or OS (Supplementary Figure S1B,D).

3.9. High Levels of CTLs Associate with Improved Survival in Patients with ER-Positive Primary Tumors

To explore if the prognostic impact of different circulating immune cell populations differs in the ER-positive versus ER-negative disease, we analyzed PFS and OS in relation to the levels of circulating immune cells in patients stratified for the ER status of the primary tumors, hence some subpopulations in further analyses are very few (Figure 5 and Figure 6 and Supplementary Figures S2–S4). High levels of CTLs associated significantly with improved PFS (p = 0.048, estimated median PFS in patients with high and low levels of CTLs; 29.9 months 95% CI 19.2–40.7 and 21.1 months 95% CI 0.0–60.8, respectively, Figure 5B left panel), as well as OS (p = 0.015, estimated median OS in patients with high and low levels of CTLs; 59.9 months 95% CI 40.8–79.0 and 30.4 months 95% CI 0.00–64.8, respectively, Figure 5B right panel) in patients with ER-positive primary tumors.

3.10. Low Levels of NK Cells Potentially Associate with Improved OS in Patients with ER-Negative Primary Tumors

Regarding other lymphocyte populations, low levels of systemic NK cells were not associated with PFS but significantly associated with improved OS in patients with ER-negative primary tumors (p = 0.034, estimated median OS for patients with low and high levels of NK cells; 40.9 months [no 95% CI was obtained due to limited number of patients in this group] and 12.6 months 95% CI 0.48–24.6, respectively, Figure 5C right panel). However, these results need to be interpreted with caution because of the few patients in the analyses.

3.11. High Levels of Non-Classical Monocytes Associate with Improved Survival

When analyzing different monocyte populations in patients stratified for ER status, high levels of non-classical monocytes was significantly associated with PFS in patients with ER-negative primary tumors (p = 0.010, estimated median PFS in patients with high and low levels of non-classical monocytes; 10.2 months 95% CI 2.9–17.5 and 4.5 months 95% CI 0.0–10.7, respectively, Figure 6C left panel). In addition, a trend toward improved PFS in patients with ER-positive disease was observed (p = 0.071, estimated median PFS in patients with high and low levels of non-classical monocytes; 30.8 months 95% CI 15.6–46.0 and 5.7 months 95% CI 0.0–15.1, respectively, Figure 6C left panel). Furthermore, there was a significant association to improved OS for patients with high levels of non-classical monocytes and ER-positive primary tumors (p = 0.044, estimated median OS in patients with high and low levels of non-classical monocytes, not available because of too few patients and 30.4 months 95% CI 0.00–66.6, respectively, Figure 6C right panel).

3.12. Peripheral Blood Dendritic Cells Are Not Prognostic for Survival in Breast Cancer Patients

Regarding dendritic cell populations, there were no associations to PFS and only a borderline significant association observed between high levels of MDC1 and improved OS in patients with ER-positive tumors (p = 0.056, estimated OS for patients with high and low levels of MDC1; 59.9 months 95% CI 30.9–88.9 and 40.3 months 95% CI 12.0–68.7, respectively, Supplementary Figure S4A right panel).

3.13. Uni- and Multivariable Cox Regression Analyses of Survival in Relation to CTLs

Finally, we performed uni- and multivariable Cox regression analyses of survival in relation to CD8+ CTLs in the whole cohort, adjusting for age, ECOG, NHG, primary tumor histological subtype, metastasis-free interval, number of metastatic sites and presence of visceral metastasis. Similar to the log-rank analyses in Figure 2B, patients with high levels of CTLs displayed non-significant associations to improved PFS (HRPFS 0.50, 95% confidence interval [CI] 0.023–1.07, p = 0.074 in univariable and HRPFS 0.32, 95% CI 0.049–2.081, p = 0.23 in multivariable analyses). With regards to OS, patients with high levels of CTLs significantly associated with survival in univariable Cox regression analyses (HROS 0.28, 95% CI 0.12–0.69, p = 0.005). This significance was, however, lost when adjusting for other prognostic factors (HROS 0.51, 95% CI 0.066–3.98, p = 0.52).

4. Discussion

In this prospective and explorative study, we set out to expand on our previous findings regarding circulating immune cell populations in MBC patients [22,23], to now comprehensively evaluating a broad panel of circulating PBMC populations with regards to clinical impact. We found that patients with high levels of circulating CD8+ CTLs had an improved OS, and that this association was also found in patients with ER-positive disease. Furthermore, high levels of non-classical (CD14+CD16++) monocytes were associated with improved OS in patients with ER-positive primary tumors, whereas in patients with ER-negative tumors, low levels of circulating NK cells potentially associated with improved OS. Our data should also be compared to our initial study comprising the first included 23 patients [22], where we found that MBC patients display lower levels of peripheral blood CD3+ T lymphocytes, NK cells and NKT cells compared to healthy donors, whereas the levels of B lymphocytes and the percentages of CD8+ CTLs or CD4+ T-helper cells of all CD3+ T lymphocytes, as well as Tregs of all CD4+ cells, were not significantly different between MBC patients and healthy donors [22].
For MBC, the overall prognosis is poor and current treatment options are mainly directed to improve quality of life, prevent or alleviate symptoms and prolong survival [30]. Hence, there is an urgent need to identify novel targets, as well as prognostic and treatment predictive markers, to personalize treatment strategies for MBC patients. It has become increasingly recognized that tumors induce not only local, but also systemic immune changes. As of today, only limited information is available regarding the immune landscape in the peripheral blood of breast cancer patients and how it relates to clinical parameters and survival [18]. Most studies analyze one or a few immune cell populations from non-MBC patients or do not stratify based on presence or absence of metastases [11,12,26,31,32,33]. Furthermore, samples are often cryopreserved or obtained from patients under current systemic treatment [11,12,27].
Our findings show that high levels of CD8+ CTLs associated with hormone-receptor-positive primary tumors and a significantly improved PFS and OS in all MBC patients, specifically in patients with ER-positive primary tumors, a finding that was neither seen for the total CD3+ T lymphocyte population, nor for CD4+ T-helper cells or Tregs. Although the significance was lost when adjusting for other prognostic factors, this warrants analysis in a larger cohort. Our results are also partially in line with a recent study reporting that high levels of distinct subpopulations of systemic CD8+ and CD4+ T lymphocytes associated with longer breast cancer-specific survival in MBC patients treated with high-dose chemotherapy [27]. Similarly, in inflammatory breast cancer, low levels of peripheral blood CD8+ and CD4+ T lymphocytes associate with inferior survival [33]. Our data is also in line with the reported association between high levels of tumor-infiltrating CD8+ T lymphocytes and improved survival in patients with early breast cancer [34,35,36]. CD8+ CTLs are considered important players in anti-tumor immune responses that recognize tumor antigens and mediate tumor-killing effects via, e.g., pro-inflammatory interferon γ (IFNγ) and cytotoxic granzyme or perforin [4,37]. Although this is considered a local response, our data indicate that high levels of circulating CD8+ CTLs may be a marker for improved outcome specifically in MBC patients with ER-positive primary tumors. It is possible that patients displaying high levels of CD8+ T lymphocytes in the peripheral blood also have a higher density of tumor-infiltrating CD8+ T lymphocytes. However, MDSCs are well-known suppressors of T lymphocyte function and an inverse association between systemic Mo-MDSCs and CD3+ T lymphocytes in MBC patients has previously been described [22]. Thus, the potential correlation between systemic and tumor-associated CD8+ T lymphocytes will be important to study in the future and especially in the setting of immune checkpoint inhibitors. Based on our findings, we will in future studies evaluate the presence of different immune cell populations in primary tumors compared to metastatic tissue.
Due to study setup and technical limitations from the lack of modern flow cytometers (resulting in the use of separate staining panels), expression of immune checkpoint markers such as PD-1 were not investigated on T lymphocytes. Neither were more in-depth analyses of T lymphocyte subpopulations, e.g., double negative and double positive T cells, different CD8+ CTL subsets nor CD4+ T lymphocyte cell subsets (including Th1, Th2, Th9 or Th17) technically feasible. The latter may explain why we did not observe any association between systemic CD4+ Th lymphocytes and any clinicopathological variable or survival, as has been proposed for tumor-associated T-helper subsets [6,38]. Furthermore, Yang et al. reported that low levels of CD3+ and CD4+ T lymphocytes, but not CD8+ T lymphocytes, associated with improved PFS and OS in MBC patients with HER2-positive but not luminal A, luminal B or triple negative tumors [24]. In our study only five of the 32 included patients had HER2-positive primary tumors; hence, no subgroup analysis of these patients could be presented. Tumor-infiltrating Tregs have previously been shown to correlate to worse prognosis, especially in patients with hormone-receptor-positive early breast cancer [38,39,40]. Our data regarding systemic Tregs indicate no association with either clinical parameters or outcome. This would be in accordance with data from patients with early, primary breast cancer, where circulating Tregs did not associate with patient survival, despite higher levels in breast cancer patients than healthy donors [31], implying that tumor-associated Tregs might be better prognostic indicators than systemic Tregs. When analyzing systemic B lymphocytes, we found associations between high levels of B lymphocytes and metastatic burden (>3 metastatic sites), as well as high CTCs, yet no association with survival. This is in contrast to tumor-infiltrating B lymphocytes that have generally been reported to associate with favorable outcome, although this is still under debate [8,9,10]. Furthermore, in our previous study we found no difference in the levels of B lymphocytes between MBC patients and healthy controls [22] and current literature regarding systemic B lymphocytes is conflicting [18], warranting further studies of the role of circulating B lymphocytes in breast cancer patients.
NK cells recognize and kill tumor cells by, e.g., pro-inflammatory IFNγ and tumor necrosis factor alpha (TNFα), Fas-FasL signaling and cytotoxic granzymes and perforins [4]. As for CD8+ CTLs, this effect is considered local and a high density of tumor-associated NK cells associate with improved clinical outcome in breast cancer [11,12]. In a previous study, we noted that the levels of circulating NK cells were significantly lower in MBC patients compared to healthy donors [22]. Here we found that low levels of circulating NK cells potentially associated with improved OS in MBC patients with ER-negative primary tumors. However, these results need to be interpreted with caution because of the few patients in the analyses. Our data are in contrast to a previous study indicating an association between high levels of systemic NK cells and improved pathological response after neoadjuvant treatment in early breast cancer [12]. However, in that study, the patients were not stratified according to the ER status of the primary tumor and only mature CD16+CD56dim NK cells were investigated. Furthermore, the levels of tumor-associated and peripheral blood NK cells have previously been shown to correlate inversely in patients with HER2-positive early breast cancer [11]. Although that study reported reduced levels of NK cells in primary breast tumors as compared with patient-matched peripheral blood, it is possible that the levels of NK cells are higher in ER-negative tumors as compared with patient-matched peripheral blood in patients with MBC and this warrants further studies. Patients with ER-negative primary tumors, and especially triple-negative breast cancer, generally have a worse prognosis as compared to patients with ER-positive primary tumors. Consequently, there is an unmet need for novel prognostic and treatment predictive markers, as well as treatment strategies [30]. Our data indicate that low levels of systemic NK cells may be a novel prognostic marker for improved OS in patients with ER-negative MBC, but these results need to be confirmed in a larger patient cohort.
We were previously the first to report that systemic Mo-MDSCs (CD14+HLA-DRlow/−Co-receptorlow/− cells), but not all CD14+ monocytes, are enriched in the peripheral blood of MBC patients as compared to healthy donors and that Mo-MDSCs associate with clinical parameters and outcome [22,23]. We also recently showed that Mo-MDSCs, but not all CD14+ monocytes, associate with ER-negative primary tumors, de novo MBC and worse outcome [23]. Monocyte counts have previously been associated with CTC levels in MBC patients [25] and high levels of CD14+HLA-DR+ monocytes associated with improved breast-cancer-specific survival in MBC patients treated with high-dose chemotherapy [27]. Furthermore, MBC patients tend to have higher levels of systemic CD16+ monocyte subpopulations compared to healthy donors [22], and a previous study has indicated that CD14+CD16+ monocytes (comprising both intermediate and non-classical monocytes) associate inversely with tumor size in patients with invasive ductal carcinoma, especially at early stages [32]. When analyzing the specific monocyte sub-populations, we observed significant associations between high levels of systemic non-classical monocytes (CD14+CD16++) and improved OS in patients with ER-positive primary tumors and improved PFS in patients with ER-negative primary tumors. In contrast, classical- (CD14++CD16−) and intermediate (CD14++CD16+/++) monocytes did not associate with survival. Yet, classical monocytes associated significantly with hormone-receptor status, whereas high levels of intermediate monocytes associated significantly with more CTCs and worse PFS. The association between intermediate monocytes and PFS warrants further studies as it may open up specific treatment strategies for this patient group. To our knowledge, our study is the first in MBC patients to separate CD16+ monocytes into intermediate and non-classical subsets and indicates that distinct monocyte subpopulations associate with specific clinical parameters. Finally, when analyzing peripheral blood DC populations, low levels of MDC1, but not MDC2 or PDC, associated with visceral metastases and a borderline association was observed for high levels of MDC1 and improved PFS in patients with ER-positive primary tumors. Our data are partially in line with a study indicating that high levels of MDC, as well as PDC, associate with improved breast-cancer-specific survival in MBC patients treated with high-dose chemotherapy [27]. MDC1 are potent cross-presenters of antigens to activate Th1 and CD8+ T lymphocytes and may associate with an improved anti-tumor immune response [41]. However, DCs are generally present at very low levels in the peripheral blood, urging for cautious interpretations of these findings.
MBC is a challenging disease and currently there is no curable treatment in most cases. Stratification of patients according to the levels of circulating immune cell populations has potential to improve prognostication in this patient group and also provide more knowledge about in which patients immune therapy can have a role. So far, immune therapy is only recommended in patients with triple-negative MBC where atezolizumab and pembrolizumab recently has gained FDA approval [42,43] to be used in combination with chemotherapy. However, studies have indicated that immune therapy can also play a role in other forms of MBC but in what subgroups of patients it is most efficient is currently not known. Recently circulating CD8+ and CD4+ cells were suggested as treatment-predicting factors in patients with hormone-receptor-positive MBC treated with the CDK-inhibitor palbociclib and pembrolizumab [44]. In the present study, we aimed to look at Ficoll-enriched PBMC populations and excluded contaminating granulocytes such as neutrophils and granulocytic-MDSCs (G-MDSCs) while gating. In a previous study, we found that G-MDSCs are enriched in the PBMC fraction after Ficoll enrichment, and that these G-MDSCs do not correlate with any of the investigated clinicopathological variables or disease severity [45]. Although our findings are limited by the relatively small patient cohort, this is to our knowledge the first study to analyze a broad range of lymphoid and myeloid immune cell populations within the same patient and their potential association with clinical parameters and survival. Moreover, the patients were included ahead of the start of systemic therapy and we employed fresh blood samples (not cryopreserved). Hence, this warrants future investigation in a larger patient population to further validate the prognostic relevance of circulating immune cell populations independently of other factors.

5. Conclusions

In this study, we show that high levels of systemic CD8+ CTLs correlate with improved PFS and OS in patients with MBC. Similarly, high levels of non-classical monocytes associated with improved OS in patients with ER-positive primary tumors. We propose that the baseline (pre-treatment) levels of systemic immune cell populations, such as CD8+ CTLs and non-classical monocytes, may be used to predict clinical outcome in MBC patients and that an improved understanding of the systemic immune response is highly relevant to improve MBC therapy.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/cells11101639/s1: File S1: Correlation of circulating peripheral blood mononuclear cells (PBMCs) with clinicopathological variables, Figure S1: High levels of systemic MDC1 associate with improved progression-free survival, Figure S2: The levels of T-helper cells or Tregs do not associate with survival in patients with ER-positive or ER-negative primary tumors, Figure S3: The levels of B lymphocytes or NKT cells do not associate with survival in patients with ER-positive or ER-negative primary tumors, Figure S4: The levels of MDC1 tend to associate with survival. Table S1. Characteristics of the included patients; Table S2. Antibodies used for flow cytometry with clone and dilution indicated; Table S3. Summary of the analyzed immune cell populations.

Author Contributions

Conceptualization, A.-M.L. and C.B.; methodology, A.-M.L., L.R., K.L. and C.B.; formal analysis, A.-M.L., O.N., A.J. and C.B.; investigation, A.-M.L., O.N., A.J. and C.B.; resources, A.-M.L., L.R. and K.L.; writing—original draft preparation, C.B.; writing—review and editing, all authors; visualization, A.-M.L., O.N., A.J. and C.B.; supervision, A.-M.L. and C.B.; project administration, C.B.; funding acquisition, A.-M.L., L.R., K.L. and C.B. All authors have read and agreed to the published version of the manuscript.

Funding

This work was generously supported by Governmental Funding of Clinical Research within the National Health Services (A.L.F.; A.-M.L., L.R. and K.L.), Vetenskapsrådet (L.R. and K.L.), Cancerfonden (L.R. and K.L.), the Swedish Society for Medical Research (SSMF; C.B.), the Gyllenstiernska Krapperup Foundation (K.L. and C.B.), the Gunnar Nilsson Cancer Foundation (C.B.), the Fru Berta Kamprad foundation (A.-M.L.), the Medical Faculty at Lund University (C.B.) and Allmänna Sjukhuset i Malmö Stiftelse för bekämpande av cancer (K.L. and C.B.).

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Research Ethics Committee at Lund University (Dnr 2010/135, Dnr 2010/477 and Dnr 2011/748).

Informed Consent Statement

Written informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The datasets used and analyzed during the current study are available from the corresponding authors upon reasonable request.

Acknowledgments

We would like to express our gratitude to research nurses Anette Ahlin-Gullers and Jessica Åkesson for the preparation of blood samples from the MBC patients and to medical oncologist Ulrik Narbe for contributing with follow-up data.

Conflicts of Interest

K.L. is a board member of Cantargia AB, a company developing IL1RAP inhibitors. This does not alter the author’s adherence to all guidelines for publication. The authors otherwise declare no competing interests.

References

  1. Global Burden of Disease Cancer, C.; Fitzmaurice, C.; Allen, C.; Barber, R.M.; Barregard, L.; Bhutta, Z.A.; Brenner, H.; Dicker, D.J.; Chimed-Orchir, O.; Dandona, R.; et al. Global, Regional, and National Cancer Incidence, Mortality, Years of Life Lost, Years Lived with Disability, and Disability-Adjusted Life-years for 32 Cancer Groups, 1990 to 2015: A Systematic Analysis for the Global Burden of Disease Study. JAMA Oncol. 2017, 3, 524–548. [Google Scholar] [CrossRef] [PubMed]
  2. Harbeck, N.; Penault-Llorca, F.; Cortes, J.; Gnant, M.; Houssami, N.; Poortmans, P.; Ruddy, K.; Tsang, J.; Cardoso, F. Breast cancer. Nat. Rev. Dis. Primers 2019, 5, 66. [Google Scholar] [CrossRef] [PubMed]
  3. Cardoso, F.; Paluch-Shimon, S.; Senkus, E.; Curigliano, G.; Aapro, M.S.; Andre, F.; Barrios, C.H.; Bergh, J.; Bhattacharyya, G.S.; Biganzoli, L.; et al. 5th ESO-ESMO international consensus guidelines for advanced breast cancer (ABC 5). Ann. Oncol. Off. J. Eur. Soc. Med. Oncol. ESMO 2020, 31, 1623–1649. [Google Scholar] [CrossRef] [PubMed]
  4. Annaratone, L.; Cascardi, E.; Vissio, E.; Sarotto, I.; Chmielik, E.; Sapino, A.; Berrino, E.; Marchio, C. The Multifaceted Nature of Tumor Microenvironment in Breast Carcinomas. Pathobiology 2020, 87, 125–142. [Google Scholar] [CrossRef] [PubMed]
  5. Savas, P.; Salgado, R.; Denkert, C.; Sotiriou, C.; Darcy, P.K.; Smyth, M.J.; Loi, S. Clinical relevance of host immunity in breast cancer: From TILs to the clinic. Nat. Rev. Clin. Oncol. 2016, 13, 228–241. [Google Scholar] [CrossRef]
  6. Baxevanis, C.N.; Sofopoulos, M.; Fortis, S.P.; Perez, S.A. The role of immune infiltrates as prognostic biomarkers in patients with breast cancer. Cancer Immunol. Immunother 2019, 68, 1671–1680. [Google Scholar] [CrossRef]
  7. Solinas, C.; Carbognin, L.; De Silva, P.; Criscitiello, C.; Lambertini, M. Tumor-infiltrating lymphocytes in breast cancer according to tumor subtype: Current state of the art. Breast 2017, 35, 142–150. [Google Scholar] [CrossRef]
  8. Zhang, Z.; Zhu, Y.; Wang, Z.; Zhang, T.; Wu, P.; Huang, J. Yin-yang effect of tumor infiltrating B cells in breast cancer: From mechanism to immunotherapy. Cancer Lett. 2017, 393, 1–7. [Google Scholar] [CrossRef]
  9. Mao, Y.; Qu, Q.; Chen, X.; Huang, O.; Wu, J.; Shen, K. The Prognostic Value of Tumor-Infiltrating Lymphocytes in Breast Cancer: A Systematic Review and Meta-Analysis. PLoS ONE 2016, 11, e0152500. [Google Scholar] [CrossRef]
  10. Yeong, J.; Lim, J.C.T.; Lee, B.; Li, H.; Chia, N.; Ong, C.C.H.; Lye, W.K.; Putti, T.C.; Dent, R.; Lim, E.; et al. High Densities of Tumor-Associated Plasma Cells Predict Improved Prognosis in Triple Negative Breast Cancer. Front. Immunol. 2018, 9, 1209. [Google Scholar] [CrossRef]
  11. Muntasell, A.; Servitja, S.; Cabo, M.; Bermejo, B.; Perez-Buira, S.; Rojo, F.; Costa-Garcia, M.; Arpi, O.; Moraru, M.; Serrano, L.; et al. High Numbers of Circulating CD57(+) NK Cells Associate with Resistance to HER2-Specific Therapeutic Antibodies in HER2(+) Primary Breast Cancer. Cancer Immunol. Res. 2019, 7, 1280–1292. [Google Scholar] [CrossRef] [PubMed]
  12. Verma, C.; Kaewkangsadan, V.; Eremin, J.M.; Cowley, G.P.; Ilyas, M.; El-Sheemy, M.A.; Eremin, O. Natural killer (NK) cell profiles in blood and tumour in women with large and locally advanced breast cancer (LLABC) and their contribution to a pathological complete response (PCR) in the tumour following neoadjuvant chemotherapy (NAC): Differential restoration of blood profiles by NAC and surgery. J. Transl. Med. 2015, 13, 180. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Lundgren, C.; Bendahl, P.O.; Ekholm, M.; Ferno, M.; Forsare, C.; Kruger, U.; Nordenskjold, B.; Stal, O.; Ryden, L. Tumour-infiltrating lymphocytes as a prognostic and tamoxifen predictive marker in premenopausal breast cancer: Data from a randomised trial with long-term follow-up. Breast Cancer Res. BCR 2020, 22, 140. [Google Scholar] [CrossRef] [PubMed]
  14. Leek, R.D.; Lewis, C.E.; Whitehouse, R.; Greenall, M.; Clarke, J.; Harris, A.L. Association of macrophage infiltration with angiogenesis and prognosis in invasive breast carcinoma. Cancer Res. 1996, 56, 4625–4629. [Google Scholar] [PubMed]
  15. Finak, G.; Bertos, N.; Pepin, F.; Sadekova, S.; Souleimanova, M.; Zhao, H.; Chen, H.; Omeroglu, G.; Meterissian, S.; Omeroglu, A.; et al. Stromal gene expression predicts clinical outcome in breast cancer. Nat. Med. 2008, 14, 518–527. [Google Scholar] [CrossRef] [PubMed]
  16. Medrek, C.; Ponten, F.; Jirstrom, K.; Leandersson, K. The presence of tumor associated macrophages in tumor stroma as a prognostic marker for breast cancer patients. BMC Cancer 2012, 12, 306. [Google Scholar] [CrossRef]
  17. Gutkin, D.W.; Shurin, M.R. Clinical evaluation of systemic and local immune responses in cancer: Time for integration. Cancer Immunol Immunother 2014, 63, 45–57. [Google Scholar] [CrossRef] [Green Version]
  18. Batalha, S.; Ferreira, S.; Brito, C. The Peripheral Immune Landscape of Breast Cancer: Clinical Findings and In Vitro Models for Biomarker Discovery. Cancers 2021, 13, 1305. [Google Scholar] [CrossRef]
  19. De Coana, Y.P.; Wolodarski, M.; Poschke, I.; Yoshimoto, Y.; Yang, Y.; Nystrom, M.; Edback, U.; Brage, S.E.; Lundqvist, A.; Masucci, G.V.; et al. Ipilimumab treatment decreases monocytic MDSCs and increases CD8 effector memory T cells in long-term survivors with advanced melanoma. Oncotarget 2017, 8, 21539–21553. [Google Scholar] [CrossRef] [Green Version]
  20. Sattui, S.; de la Flor, C.; Sanchez, C.; Lewis, D.; Lopez, G.; Rizo-Patron, E.; White, A.C., Jr.; Montes, M. Cryopreservation modulates the detection of regulatory T cell markers. Cytom. B Clin. Cytom. 2012, 82, 54–58. [Google Scholar] [CrossRef] [PubMed]
  21. Grutzner, E.; Stirner, R.; Arenz, L.; Athanasoulia, A.P.; Schrodl, K.; Berking, C.; Bogner, J.R.; Draenert, R. Kinetics of human myeloid-derived suppressor cells after blood draw. J. Transl. Med. 2016, 14, 2. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Bergenfelz, C.; Larsson, A.M.; von Stedingk, K.; Gruvberger-Saal, S.; Aaltonen, K.; Jansson, S.; Jernstrom, H.; Janols, H.; Wullt, M.; Bredberg, A.; et al. Systemic Monocytic-MDSCs Are Generated from Monocytes and Correlate with Disease Progression in Breast Cancer Patients. PLoS ONE 2015, 10, e0127028. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  23. Bergenfelz, C.; Roxa, A.; Mehmeti, M.; Leandersson, K.; Larsson, A.M. Clinical relevance of systemic monocytic-MDSCs in patients with metastatic breast cancer. Cancer Immunol. Immunother 2020, 69, 435–448. [Google Scholar] [CrossRef] [Green Version]
  24. Yang, J.; Xu, J.; Sun, T. Predictive and prognostic value of circulating blood lymphocyte subsets in metastatic breast cancer. Cancer Med. 2019, 8, 492–500. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. De Giorgi, U.; Mego, M.; Scarpi, E.; Giordano, A.; Giuliano, M.; Valero, V.; Alvarez, R.H.; Ueno, N.T.; Cristofanilli, M.; Reuben, J.M. Association between circulating tumor cells and peripheral blood monocytes in metastatic breast cancer. Adv. Med. Oncol. 2019, 11, 1758835919866065. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Mego, M.; Gao, H.; Cohen, E.N.; Anfossi, S.; Giordano, A.; Tin, S.; Fouad, T.M.; De Giorgi, U.; Giuliano, M.; Woodward, W.A.; et al. Circulating tumor cells (CTCs) are associated with abnormalities in peripheral blood dendritic cells in patients with inflammatory breast cancer. Oncotarget 2017, 8, 35656–35668. [Google Scholar] [CrossRef] [Green Version]
  27. Lafrenie, R.M.; Speigl, L.; Buckner, C.A.; Pawelec, G.; Conlon, M.S.; Shipp, C. Frequency of Immune Cell Subtypes in Peripheral Blood Correlates with Outcome for Patients with Metastatic Breast Cancer Treated with High-Dose Chemotherapy. Clin. Breast Cancer 2019, 19, 433–442. [Google Scholar] [CrossRef]
  28. Larsson, A.M.; Roxa, A.; Leandersson, K.; Bergenfelz, C. Impact of systemic therapy on circulating leukocyte populations in patients with metastatic breast cancer. Sci. Rep. 2019, 9, 13451. [Google Scholar] [CrossRef] [Green Version]
  29. Larsson, A.M.; Jansson, S.; Bendahl, P.O.; Levin Tykjaer Jorgensen, C.; Loman, N.; Graffman, C.; Lundgren, L.; Aaltonen, K.; Ryden, L. Longitudinal enumeration and cluster evaluation of circulating tumor cells improve prognostication for patients with newly diagnosed metastatic breast cancer in a prospective observational trial. Breast Cancer Res. BCR 2018, 20, 48. [Google Scholar] [CrossRef]
  30. Cardoso, F.; Costa, A.; Senkus, E.; Aapro, M.; Andre, F.; Barrios, C.H.; Bergh, J.; Bhattacharyya, G.; Biganzoli, L.; Cardoso, M.J.; et al. 3rd ESO-ESMO International Consensus Guidelines for Advanced Breast Cancer (ABC 3). Ann. Oncol. Off. J. Eur. Soc. Med. Oncol./ESMO 2017, 28, 16–33. [Google Scholar] [CrossRef]
  31. Wang, J.; Yang, J. Identification of CD4(+)CD25(+)CD127(-) regulatory T cells and CD14(+)HLA(-)DR(-)/low myeloid-derived suppressor cells and their roles in the prognosis of breast cancer. Biomed Rep. 2016, 5, 208–212. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Feng, A.L.; Zhu, J.K.; Sun, J.T.; Yang, M.X.; Neckenig, M.R.; Wang, X.W.; Shao, Q.Q.; Song, B.F.; Yang, Q.F.; Kong, B.H.; et al. CD16+ monocytes in breast cancer patients: Expanded by monocyte chemoattractant protein-1 and may be useful for early diagnosis. Clin. Exp. Immunol. 2011, 164, 57–65. [Google Scholar] [CrossRef] [PubMed]
  33. Mego, M.; Gao, H.; Cohen, E.N.; Anfossi, S.; Giordano, A.; Sanda, T.; Fouad, T.M.; De Giorgi, U.; Giuliano, M.; Woodward, W.A.; et al. Circulating Tumor Cells (CTC) Are Associated with Defects in Adaptive Immunity in Patients with Inflammatory Breast Cancer. J. Cancer 2016, 7, 1095–1104. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. DeNardo, D.G.; Brennan, D.J.; Rexhepaj, E.; Ruffell, B.; Shiao, S.L.; Madden, S.F.; Gallagher, W.M.; Wadhwani, N.; Keil, S.D.; Junaid, S.A.; et al. Leukocyte complexity predicts breast cancer survival and functionally regulates response to chemotherapy. Cancer Discov. 2011, 1, 54–67. [Google Scholar] [CrossRef] [Green Version]
  35. Liu, S.; Lachapelle, J.; Leung, S.; Gao, D.; Foulkes, W.D.; Nielsen, T.O. CD8+ lymphocyte infiltration is an independent favorable prognostic indicator in basal-like breast cancer. Breast Cancer Res. BCR 2012, 14, R48. [Google Scholar] [CrossRef] [Green Version]
  36. Mahmoud, S.M.; Paish, E.C.; Powe, D.G.; Macmillan, R.D.; Grainge, M.J.; Lee, A.H.; Ellis, I.O.; Green, A.R. Tumor-infiltrating CD8+ lymphocytes predict clinical outcome in breast cancer. J. Clin. Oncol. 2011, 29, 1949–1955. [Google Scholar] [CrossRef]
  37. Badr, N.M.; Berditchevski, F.; Shaaban, A.M. The Immune Microenvironment in Breast Carcinoma: Predictive and Prognostic Role in the Neoadjuvant Setting. Pathobiology 2020, 87, 61–74. [Google Scholar] [CrossRef]
  38. Stanton, S.E.; Disis, M.L. Clinical significance of tumor-infiltrating lymphocytes in breast cancer. J. Immunother Cancer 2016, 4, 59. [Google Scholar] [CrossRef] [Green Version]
  39. Shou, J.; Zhang, Z.; Lai, Y.; Chen, Z.; Huang, J. Worse outcome in breast cancer with higher tumor-infiltrating FOXP3+ Tregs: A systematic review and meta-analysis. BMC Cancer 2016, 16, 687. [Google Scholar] [CrossRef] [Green Version]
  40. Liu, S.; Foulkes, W.D.; Leung, S.; Gao, D.; Lau, S.; Kos, Z.; Nielsen, T.O. Prognostic significance of FOXP3+ tumor-infiltrating lymphocytes in breast cancer depends on estrogen receptor and human epidermal growth factor receptor-2 expression status and concurrent cytotoxic T-cell infiltration. Breast Cancer Res. BCR 2014, 16, 432. [Google Scholar] [CrossRef] [Green Version]
  41. Collin, M.; Bigley, V. Human dendritic cell subsets: An update. Immunology 2018, 154, 3–20. [Google Scholar] [CrossRef] [PubMed]
  42. Schmid, P.; Adams, S.; Rugo, H.S.; Schneeweiss, A.; Barrios, C.H.; Iwata, H.; Dieras, V.; Hegg, R.; Im, S.A.; Shaw Wright, G.; et al. Atezolizumab and Nab-Paclitaxel in Advanced Triple-Negative Breast Cancer. N. Engl. J. Med. 2018, 379, 2108–2121. [Google Scholar] [CrossRef] [PubMed]
  43. Cortes, J.; Cescon, D.W.; Rugo, H.S.; Nowecki, Z.; Im, S.A.; Yusof, M.M.; Gallardo, C.; Lipatov, O.; Barrios, C.H.; Holgado, E.; et al. Pembrolizumab plus chemotherapy versus placebo plus chemotherapy for previously untreated locally recurrent inoperable or metastatic triple-negative breast cancer (KEYNOTE-355): A randomised, placebo-controlled, double-blind, phase 3 clinical trial. Lancet 2020, 396, 1817–1828. [Google Scholar] [CrossRef]
  44. Egelston, C.; Guo, W.; Yost, S.; Lee, J.S.; Rose, D.; Avalos, C.; Ye, J.; Frankel, P.; Schmolze, D.; Waisman, J.; et al. Pre-existing effector T-cell levels and augmented myeloid cell composition denote response to CDK4/6 inhibitor palbociclib and pembrolizumab in hormone receptor-positive metastatic breast cancer. J Immunother Cancer 2021, 9, e002084. [Google Scholar] [CrossRef] [PubMed]
  45. Mehmeti-Ajradini, M.; Bergenfelz, C.; Larsson, A.M.; Carlsson, R.; Riesbeck, K.; Ahl, J.; Janols, H.; Wullt, M.; Bredberg, A.; Kallberg, E.; et al. Human G-MDSCs are neutrophils at distinct maturation stages promoting tumor growth in breast cancer. Life Sci. Alliance 2020, 3, e202000893. [Google Scholar] [CrossRef] [PubMed]
Cells 11 01639 g001 550
Figure 1. Gating strategies of circulating immune cell populations. Peripheral blood mononuclear cells (PBMCs) from MBC patients were collected and immediately stained for flow cytometry using indicated antibodies. All analyses were performed on gated viable (7AAD-negative) PBMCs (upper panels, black boxes). (A,B) T lymphocyte populations. (A) All CD3+ T lymphocytes (red dashed box) and CD8+CD3+ cytotoxic T lymphocytes (CTLs; yellow box). (B) CD4++ T helper cells (Th; orange box, left) and CD4++CD25+CD127low/− regulatory T cells (Tregs; brown box, right). (C). CD19+HLA-DR+ B lymphocytes (pink solid box). (D) CD56+CD3− natural killer (NK) cells (purple solid box) and CD56+CD3+ natural killer T (NKT) cells (pink dashed box). (E) Monocyte populations; CD14++CD16− classical monocytes (dark green solid box), CD14++CD16+/++ intermediate monocytes (green dashed box) and CD14+/lowCD16++ non-classical monocytes (light green solid box). (F) Blood dendritic cell (DC) populations, gated on CD14+/lowCD19low/− viable PBMCs (upper two panels); BDCA-1+ MDC1 (dark blue solid box, left), BDCA-2+ PDCs (blue dashed box, left) and BDCA-3+ MDC2 (light blue solid box, right). All numbers represent percentage in gate.
Figure 1. Gating strategies of circulating immune cell populations. Peripheral blood mononuclear cells (PBMCs) from MBC patients were collected and immediately stained for flow cytometry using indicated antibodies. All analyses were performed on gated viable (7AAD-negative) PBMCs (upper panels, black boxes). (A,B) T lymphocyte populations. (A) All CD3+ T lymphocytes (red dashed box) and CD8+CD3+ cytotoxic T lymphocytes (CTLs; yellow box). (B) CD4++ T helper cells (Th; orange box, left) and CD4++CD25+CD127low/− regulatory T cells (Tregs; brown box, right). (C). CD19+HLA-DR+ B lymphocytes (pink solid box). (D) CD56+CD3− natural killer (NK) cells (purple solid box) and CD56+CD3+ natural killer T (NKT) cells (pink dashed box). (E) Monocyte populations; CD14++CD16− classical monocytes (dark green solid box), CD14++CD16+/++ intermediate monocytes (green dashed box) and CD14+/lowCD16++ non-classical monocytes (light green solid box). (F) Blood dendritic cell (DC) populations, gated on CD14+/lowCD19low/− viable PBMCs (upper two panels); BDCA-1+ MDC1 (dark blue solid box, left), BDCA-2+ PDCs (blue dashed box, left) and BDCA-3+ MDC2 (light blue solid box, right). All numbers represent percentage in gate.
Cells 11 01639 g001
Cells 11 01639 g002 550
Figure 2. High levels of circulating CTLs associate with improved overall survival. Kaplan–Meier curves of progression-free survival (PFS; left) and overall survival (OS) from baseline (right) according to the levels of indicated lymphocyte population in all MBC patients. (A) all CD3+ T lymphocytes. (B) CD8+ cytotoxic T lymphocytes. (C) CD4+ T-helper lymphocytes. (D) CD4+CD25+CD127 low/− Tregs of CD4+ cells. N = 32 for all populations except for Tregs (N = 31). Statistics by log-rank test, p-values < 0.05 highlighted in bold.
Figure 2. High levels of circulating CTLs associate with improved overall survival. Kaplan–Meier curves of progression-free survival (PFS; left) and overall survival (OS) from baseline (right) according to the levels of indicated lymphocyte population in all MBC patients. (A) all CD3+ T lymphocytes. (B) CD8+ cytotoxic T lymphocytes. (C) CD4+ T-helper lymphocytes. (D) CD4+CD25+CD127 low/− Tregs of CD4+ cells. N = 32 for all populations except for Tregs (N = 31). Statistics by log-rank test, p-values < 0.05 highlighted in bold.
Cells 11 01639 g002
Cells 11 01639 g003 550
Figure 3. The levels of B lymphocytes, NK cells and NKT cells do not associate with overall survival. Kaplan–Meier curves of progression-free survival (PFS; left) and overall survival (OS) from baseline (right) according to the levels of indicated lymphocyte population in all MBC patients. (A) CD19+ B lymphocytes. (B) CD56+CD3− NK cells. (C) CD56+CD3+ NKT cells. N = 32 for all populations except for B lymphocytes (N = 26). Statistics by log-rank test with p-values indicated.
Figure 3. The levels of B lymphocytes, NK cells and NKT cells do not associate with overall survival. Kaplan–Meier curves of progression-free survival (PFS; left) and overall survival (OS) from baseline (right) according to the levels of indicated lymphocyte population in all MBC patients. (A) CD19+ B lymphocytes. (B) CD56+CD3− NK cells. (C) CD56+CD3+ NKT cells. N = 32 for all populations except for B lymphocytes (N = 26). Statistics by log-rank test with p-values indicated.
Cells 11 01639 g003
Cells 11 01639 g004 550
Figure 4. Low levels of intermediate monocytes associate with improved progression-free survival. Kaplan–Meier curves of progression-free survival (PFS; left) and overall survival (OS) from baseline (right) according to the levels of indicated monocyte subpopulation in all MBC patients. (A) CD14++CD16− classical monocytes. (B) CD14++CD16+/++ intermediate monocytes. (C) CD14+CD16++ non-classical monocytes. (D) ratio of % CD16+ monocyte populations/% CD16− monocyte populations. N = 27 for all subpopulations. Statistics by log-rank test, p-values < 0.05 highlighted in bold.
Figure 4. Low levels of intermediate monocytes associate with improved progression-free survival. Kaplan–Meier curves of progression-free survival (PFS; left) and overall survival (OS) from baseline (right) according to the levels of indicated monocyte subpopulation in all MBC patients. (A) CD14++CD16− classical monocytes. (B) CD14++CD16+/++ intermediate monocytes. (C) CD14+CD16++ non-classical monocytes. (D) ratio of % CD16+ monocyte populations/% CD16− monocyte populations. N = 27 for all subpopulations. Statistics by log-rank test, p-values < 0.05 highlighted in bold.
Cells 11 01639 g004
Cells 11 01639 g005 550
Figure 5. High levels of CTLs associate with improved survival in patients with ER-positive primary tumors. Kaplan–Meier curves of progression-free survival (PFS; left) and overall survival (OS) from baseline (right) according to the levels of indicated immune cell populations in patients with MBC stratified for primary-tumor ER status. (A) all CD3+ T lymphocytes. (B) CD8+ cytotoxic T lymphocytes. (C) CD56+CD3− NK cells. N = 20 ER-positive and N = 8 ER-negative for all populations. Statistics by log-rank test, p-values < 0.05 highlighted in bold.
Figure 5. High levels of CTLs associate with improved survival in patients with ER-positive primary tumors. Kaplan–Meier curves of progression-free survival (PFS; left) and overall survival (OS) from baseline (right) according to the levels of indicated immune cell populations in patients with MBC stratified for primary-tumor ER status. (A) all CD3+ T lymphocytes. (B) CD8+ cytotoxic T lymphocytes. (C) CD56+CD3− NK cells. N = 20 ER-positive and N = 8 ER-negative for all populations. Statistics by log-rank test, p-values < 0.05 highlighted in bold.
Cells 11 01639 g005
Cells 11 01639 g006 550
Figure 6. High levels of non-classical monocytes associate with improved PFS in patients with ER-negative primary tumors and with improved OS in patients with ER-positive primary tumors. Kaplan–Meier curves of progression-free survival (PFS; left) and overall survival (OS) from baseline (right) according to the levels of indicated monocyte subpopulation in patients with MBC stratified for primary tumor ER status. (A) CD14++CD16− classical monocytes. (B) CD14++CD16+/++ intermediate monocytes. (C) CD14+CD16++ non-classical monocytes. N = 17 ER-positive and N = 7 ER-negative for all subpopulations. Statistics by log-rank test, p-values < 0.05 highlighted in bold.
Figure 6. High levels of non-classical monocytes associate with improved PFS in patients with ER-negative primary tumors and with improved OS in patients with ER-positive primary tumors. Kaplan–Meier curves of progression-free survival (PFS; left) and overall survival (OS) from baseline (right) according to the levels of indicated monocyte subpopulation in patients with MBC stratified for primary tumor ER status. (A) CD14++CD16− classical monocytes. (B) CD14++CD16+/++ intermediate monocytes. (C) CD14+CD16++ non-classical monocytes. N = 17 ER-positive and N = 7 ER-negative for all subpopulations. Statistics by log-rank test, p-values < 0.05 highlighted in bold.
Cells 11 01639 g006
Table
Table 1. Summary of p-values derived from Pearson’s chi-square test (a) or Fisher’s exact test (b); used when the expected counts were less than five in at least one cell) when comparing peripheral blood mononuclear cell (PBMC) population levels (dichotomized by using the median as the cut-off) and categorical patient and tumor characteristics. p-values < 0.05 were considered significant and are highlighted in bold in the table. See Supplementary File S1 for all correlations.
Table 1. Summary of p-values derived from Pearson’s chi-square test (a) or Fisher’s exact test (b); used when the expected counts were less than five in at least one cell) when comparing peripheral blood mononuclear cell (PBMC) population levels (dichotomized by using the median as the cut-off) and categorical patient and tumor characteristics. p-values < 0.05 were considered significant and are highlighted in bold in the table. See Supplementary File S1 for all correlations.
Patient and Tumor CharacteristicsCTLsTregsCD8/
CD3		CD4/
CD3		B CellsNK CellsClassical MoIntermediate MoNon-Classical MoMDC1
Age0.077 a0.200 a0.013a0.077 a0.695 a0.723 a0.842 a0.180 a0.568 a0.576 a
ECOG0.109 b0.493 b0.666 b0.666 b0.181 b0.859 b0.134 b1.000 b0.023b0.859 b
PT histological subtype0.754 b0.049b0.660 b1.000 b0.053 b0.050b0.446 b0.720 b0.092 b0.007b
PT NHG0.336 b0.021b1.000 b0.208 b0.322 b0.489 b1.000 b1.000 b0.087 b0.811 b
PT ER0.033b1.000 b0.410 b0.096 b0.405 b0.096 b0.371 b0.078 b0.659 b1.000 b
PT PR0.001a0.691 a0.004a0.00005a1.000 b0.038a0.006a0.292 a0.827 a0.462 a
PT HER21.000 b0.338 b0.045b0.311 b1.000 b0.149 b1.000 b1.000 b1.000 b0.149 b
MET ER0.429 b1.000 b1.000 b0.464 b0.478 b0.464 b0.478 b0.435 b1.000 b1.000 b
MET PR1.000 b0.248 b0.310 a0.047b0.391 b0.696 b0.099 b1.000 b0.387 b0.228 b
MET HER21.000 b0.593 b0.225 b1.000 b0.553 b0.238 b1.000 b0.229 b1.000 b0.565 b
No of metastatic sites (<3 vs. >/=3)0.072 a0.347 a0.719 a0.280 a0.047a0.280 a0.863 a0.168 a0.343 a0.213 a
Visceral metastases0.072 a0.886 a0.719 a0.280 a0.420 a0.719 a0.695 b1.000 b0.236 b0.038a
de novo MBC vs. distant recurrence1.000 b0.172 b0.043b0.333 b1.000 b0.333 b1.000 b1.000 b0.595 b0.654 b
CTC (</≥5)0.480 a0.210 a1.000 a1.000 a0.047a0.480 a0.816 a0.034a0.310 a0.366 a
Dead vs. alive0.037b0.685 b1.00 b0.685 b1.00 b1.00 b0.678 b0.420 b0.209 b0.220 b
Abbreviations: CTLs cytotoxic T-lymphocytes, Tregs regulatory T cells, NK cells natural killer cells, Mo monocytes, MDC myeloid dendritic cell, ECOG Eastern Cooperative Oncology Group, PT primary tumor, NHG Nottingham histological grade, ER estrogen receptor, HER2 human epidermal growth factor receptor 2, MET metastases and CTC circulating tumor cells.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Larsson, A.-M.; Nordström, O.; Johansson, A.; Rydén, L.; Leandersson, K.; Bergenfelz, C. Peripheral Blood Mononuclear Cell Populations Correlate with Outcome in Patients with Metastatic Breast Cancer. Cells 2022, 11, 1639. https://doi.org/10.3390/cells11101639

AMA Style

Larsson A-M, Nordström O, Johansson A, Rydén L, Leandersson K, Bergenfelz C. Peripheral Blood Mononuclear Cell Populations Correlate with Outcome in Patients with Metastatic Breast Cancer. Cells. 2022; 11(10):1639. https://doi.org/10.3390/cells11101639

Chicago/Turabian Style

Larsson, Anna-Maria, Olle Nordström, Alexandra Johansson, Lisa Rydén, Karin Leandersson, and Caroline Bergenfelz. 2022. "Peripheral Blood Mononuclear Cell Populations Correlate with Outcome in Patients with Metastatic Breast Cancer" Cells 11, no. 10: 1639. https://doi.org/10.3390/cells11101639

APA Style

Larsson, A. -M., Nordström, O., Johansson, A., Rydén, L., Leandersson, K., & Bergenfelz, C. (2022). Peripheral Blood Mononuclear Cell Populations Correlate with Outcome in Patients with Metastatic Breast Cancer. Cells, 11(10), 1639. https://doi.org/10.3390/cells11101639

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