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Article

Evaluation of the Hamburg-Glasgow Classification in Pancreatic Cancer: Preoperative Staging by Combining Disseminated Tumor Load and Systemic Inflammation

1
Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
2
Department of Tumor Biology, University Cancer Center Hamburg, Center for Experimental Medicine, University Medical Center Hamburg-Eppendorf, 20251 Hamburg, Germany
*
Author to whom correspondence should be addressed.
Cancers 2021, 13(23), 5942; https://doi.org/10.3390/cancers13235942
Submission received: 31 October 2021 / Revised: 21 November 2021 / Accepted: 23 November 2021 / Published: 25 November 2021
(This article belongs to the Special Issue Metastasis and Tumor Cell Migration of Solid Tumors)

Abstract

:

Simple Summary

Despite the great achievements in pancreatic ductal adenocarcinoma (PDAC), identification of patients who will suffer rapid disease relapse and progression is not perfect, when definitive histology for tumor staging is not available. The Hamburg Glasgow Classification combines tumor cell dissemination in the bone marrow and systemic inflammatory response into a preoperative staging system. In this work, we assessed the Hamburg Glasgow Classification in potentially resectable PDAC as a prognostic classification for overall and progression-free survival and compared it to the UICC-TNM classification with promising results.

Abstract

This study aims to compare the Hamburg Glasgow Classification (HGC) to Union for International Cancer Control (UICC) classification in patients with pancreatic ductal adenocarcinoma (PDAC). As adequate tumor classification is only possible after tumor resection and histological evaluation, only 20% of patients with PDAC receive accurate tumor staging. Thus, an accurate preoperative staging system is still missing but urgently needed. Systemic inflammation and tumor dissemination are important factors regarding the oncological outcome. HGC integrates both into a preoperative staging system, by combining C-reactive protein (CRP), albumin, and disseminated tumor cells (DTC) in the bone marrow. In this prospective study, 109 patients underwent surgical exploration for suspected PDAC. All patients underwent a preoperative bone marrow aspiration for DTC detection. HGC showed significant preoperative risk stratification for overall survival (OS) (p-value < 0.001) and progression-free survival (PFS) (p-value < 0.001). These results were comparable to the UICC survival stratification for OS and PFS (p-value = 0.001 and 0.006). Additionally, in non-metastatic PDAC, HGC III-IV was associated with shorter OS and PFS (p-value < 0.001, respectively) when compared to HGC I-II. Therefore, the HGC is a promising preoperative prognostic staging classification for accurate and simple outcome stratification in patients with PDAC.

1. Introduction

Pancreatic ductal adenocarcinoma (PDAC) is the 7th leading cause of cancer death in industrialized countries [1]. It is characterized by rapid progression, early metastasis, and low sensitivity for radiation and chemotherapy with a low 5-year survival rate of 10% [2]. Surgical resection remains the only curative modality, however, due to early local progression and metastasis, primary resection is only possible in 20% of the patients at presentation [3].
Accumulating evidence indicates that early disease progression in PDAC is due to the presence of micrometastasis or the presence of disseminated tumor cells (DTC) at distant sites at the time of diagnosis. The presence of DTC in bone marrow has proven to be a prognostic indicator for progression-free and overall survival in PDAC. This suggests that the bone marrow might be a reservoir for disseminating PDAC cells [4,5].
However, patients’ outcomes are not solely based on tumor-related factors such as tumor size, grade, lymph node involvement, and systemic tumor dissemination [4,5,6] but are also dependent on patient-related factors. One of the most important is the systemic inflammatory response (SIR); this reflects the immune system’s response against the proliferation and survival of tumor cells, which affects its ability to spread through tumor-induced angiogenesis, and metastasis [7,8,9].
Over the last few decades, the American Joint Committee on Cancer (AJCC) created the TNM staging system, which is the most commonly used staging system to differentiate between groups with different survival outcomes [10]. However, accurate stratification is only possible after tumor resection and histological analysis. Since only a minority of tumors are considered resectable at presentation, other risk-stratification staging systems are required for appropriate guidance of treatment.
The Glasgow Prognostic Score (GPS) is based on two acute phase proteins, albumin, and C-reactive protein (CRP). This represents an indicator of SIR, which has been proven to be a useful tool for risk stratification in patients with colorectal, esophageal, and lung cancer [11,12].
Merging the DTC status with the GPS combines SIR and the disseminated tumor load forming a preoperative staging classification, namely the Hamburg-Glasgow Classification (HGC). This can stratify patients into different risk groups before oncologic resection. Previously, we assessed HGC in non-metastatic esophageal cancer which resulted to be a strong, significant, and independent predictor of overall survival and disease-free survival [13].
This study aims to assess the Hamburg-Glasgow Classification in patients with PDAC as a prognostic classification for overall and progression-free survival.

2. Materials and Methods

2.1. Patient Characteristics

All patients enrolled in this study underwent surgical exploration for suspected PDAC at the University Hospital Hamburg-Eppendorf. The indication for treatment was according to the German S3 guidelines [14]. The study was approved by the Medical Ethical Committee, Hamburg, Germany (PV 3548). Informed consent was obtained from all patients before study inclusion.
Preoperative routine workup included patient’s history, physical examination, routine blood tests, thoracic and abdominal CT-scans, in selected cases endoscopy with fine-needle aspiration. In the case of non-resectable PDAC, the cTNM stage was used to classify patients in their respective UICC stages. The database included 194 patients who had bone marrow aspiration at the time of surgery between July 2004 and March 2010. We retrospectively included only patients with histological evidence of pancreatic ductal adenocarcinoma (PDAC). Therefore, 16 patients with distal cholangiocarcinoma and 22 patients with benign pancreatic lesions were excluded. After excluding 47 for missing preoperative Albumin or CRP, 109 patients were enrolled in this study. Post-operative follow-up was conducted according to the S3 German guidelines [14] at 3-month intervals for the first 2 years, including physical examination, abdominal ultrasonography, and computed tomography of the chest and abdomen. Information regarding postoperative chemotherapy was gathered retrospectively and was available only for 51 patients. Data regarding chemotherapeutic regimens, dosage, frequency of application, and response to chemotherapy were not available.

2.2. Disseminated Tumor Cells in the Bone Marrow

In this study, all patients who underwent surgical exploration for PDAC received a preoperative bone marrow aspiration. This was done under aseptic measures. 10 mL of bone marrow was taken from the upper right iliac crest. Mononuclear cells were enriched using the Ficoll gradient. Disseminated tumor cells were detected using an anti-cytokeratin antibody (A45-B/B3). This immunocytochemical assay for DTC detection in bone marrow has a false-positive rate of a maximum of 1% in control cases [15]. All stained slides were processed and screened by automated screening devices (ACIS™ system and Ariol™ system). All images were finally reviewed by two independent investigators for their microscopic morphological features. This protocol has been previously established and described in detail for DTC detection in PDAC [5].

2.3. Hamburg Glasgow Classification

The HGC was previously evaluated in patients with esophageal cancer by Reeh et al. [13]. The components of the Glasgow Prognostic Score (Albumin and CRP) were merged with the detection of DTC into HGC, which resulted in four prognostic groups (Table 1). Abnormal preoperative results were defined as follows: (i) positive DTC status (≥1 DTC) (ii) elevated CRP (>10 g L−1), and (iii) hypoalbuminemia (<35 g L−1) (Table 1).

2.4. Statistical Analysis

For statistical analysis, SPSS 26 for Windows (Armonk, NY, USA) was used. Descriptive statistics were used to describe patient baseline characteristics. The association between the HGC and clinicopathological parameters was evaluated using the X2 test. Survival curves for progression-free and overall survivals of the patients were plotted using the Kaplan–Meier method and analyzed using the log-rank test. Results are presented as median survival in months with a 95% confidence interval (CI) and the number of patients at risk.
The overall survival was computed as the period from the date of surgery to either the date of death or last follow-up, whichever occurred first. The progression-free survival was defined from the date of surgery to the date of evidence of recurrence, last follow-up, or date of death, whichever occurred first.
Multivariate analysis using Cox regression was used to assess the independent prognostic influence of HGC and other parameters on progression-free survival and overall survival. Results are presented as hazard ratio (HR) with 95% CI. Significant statements refer top-values of two-tailed tests that were p < 0.05.

3. Results

3.1. HGC and Patient Characteristics

One hundred and nine patients following surgical exploration for suspected resectable PDAC with available DTC, albumin, and CRP status were included. Tumor resection was carried out in 82 patients, this included 65 pancreatic head resections, 13 distal pancreatic resections, and 4 total pancreatectomies. Of the 109 patients, 57 (52.3%) were male. The median age was 65 (range 42–84 years). This cohort included 3 patients with UICC stage I, 49 patients with UICC stage II, 14 patients with UICC stage III, and 43 patients with UICC stage IV. DTCs were detected in 20 patients preoperatively. The overall frequency of DTC was 1–3 per 2 × 106 mononuclear cells. We assessed the association of HGC with sex, age, and the following histopathological parameters: tumor grade, tumor size, lymph node stage, metastatic status, resection margin, and post-operative Union for International Cancer Control (UICC) TNM classification. There was no association between the above-mentioned parameters and the HGC (Table 2). Furthermore, no complications were reported after the bone marrow aspirations.

3.2. Univariate Analysis

The median survival time was 10.8 months. Hamburg-Glasgow classification showed significant preoperative risk stratification for overall and progression-free survival (p-value < 0.001, respectively). These results were comparable to the survival stratification of the UICC TNM classification for OS (p-value = 0.001) and PFS (p-value 0.006) (Figure 1 and Figure 2). In patients with non-metastatic PDAC, HGC III–IV was associated with shorter OS and PFS (p-value < 0.001 each) compared to HGC I–II (Figure 3). In metastatic PDAC (UICC IV), HGC III–IV had worse OS (p-value = 0.03) and PFS (p-value = 0.025) compared to HGC I–II (Figures S1 and S2).
The presence of distant metastases at the time of exploration was associated with shorter OS (p-value < 0.001) and shorter PFS (p-value = 0.002) (Figures S3 and S4). Patients without tumor resection had comparable OS (p-value = 0.190) and shorter PFS (p-value = 0.013) to R2 resections but significantly shorter OS (p-value < 0.001 and 0.001) and PFS (p-value = 0.004 and 0.028) compared to R0 and R1 resections, respectively. (Figures S5 and S6). Moreover, DTC detection was associated with worse PFS and OS (p-value = 0.004 and <0.001) compared to patients with no detectable DTCs (Figures S7 and S8). When taking only patients with R0 and R1 into consideration, HGC III–IV was associated with worse PFS (p-value < 0.001) and OS (p-value = 0.004) compared to patients with HGC I–II.

3.3. Multivariate Analysis

Using Cox Regression analysis, seven factors were correlated with overall survival (Table 3) and progression-free survival (Table 4) in the multivariate analysis. We analyzed the independent prognostic impact of the HGC on overall and progression-free survival by multivariate stratified analysis including age, gender, UICC TNM classification, tumor size, lymph node involvement, and resection margins. The HGC prognostic groups were identified as strong independent prognostic groups for overall survival (p = 0.001; HR 2.49, 95% CI, 1.47–4.22) and progression-free survival (p < 0.001; HR 2.87, 95% CI, 1.61–5.10). (Tables S1 and S2).
Data regarding postoperative Chemotherapy was available in 51 patients. Multivariate analysis of this subgroup of patients showed that HGC (p-value = 0.002) and UICC (p-value = 0.001) were independent prognostic factors for overall survival. Regarding progression-free survival, only HGC reached significance (p-value = 0.004). A detailed analysis is available in the Supporting data (Tables S3 and S4). However, these results should be regarded carefully due to the missing data and possible information bias.

4. Discussion

The results of this study show that the preoperative combination of disseminated tumor load in bone marrow indicated by DTC and systemic inflammation evaluated by GPS are associated with poor overall survival and progression-free survival in patients with PDAC. Furthermore, the preoperative HGC is a strong predictor of the oncological outcome of patients with PDAC and showed comparable survival stratification to the post-operative UICC TNM classification.
The TNM classification provided by the American Joint Committee of Cancer (AJCC) is the most used classification for PDAC. It is a well-defined cancer staging system that depends on the anatomic extension of the tumor [6,10]. However, unlike the HGC, accurate classification is only possible after histological examination of the specimen. As the majority of tumors (80–85%) do not undergo surgical resection, an exact pTNM classification is usually lacking [3].
Furthermore, TNM classification does not take into consideration other factors like tumor biology, or patient-related factors, which could explain why patients assigned the same stage may vastly vary in terms of tumor behavior and associated outcomes. This is supported by our findings, in that HGC stages are not associated with the degree of nodal involvement or with distant metastasis, but with progression-free survival and overall survival, which emphasizes the hypothesis that not only anatomic extension but also other biological factors can affect survival outcomes or that systemic micrometastasis is present early in the course of PDAC [16].
It is well known that even after R0 resection of PDAC and aggressive adjunct multimodal therapy, metastasis and tumor recurrence still occur [17]. A recent study compared patterns of recurrence between node-negative and node-positive resected PDAC and showed that distant metastasis is the most common site of tumor recurrence irrespective of the nodal status, which suggests that undetectable systemic micrometastases are present at the time of resection [16]. In the last decades, biomarkers for micrometastasis like circulating and disseminating tumor cells (CTC and DTC) were identified. Tumor dissemination in peripheral blood and bone marrow proved to be associated with shorter OS and PFS in different solid tumors and PDAC [4,5,18]. DTCs stay dormant in the bone marrow and recirculate into various sites causing metastasis or even tumor recurrence [19]. DTCs can be preoperatively easily accessed through a bone marrow aspiration compared to operative lymph node sampling and biopsy of distant sites. In our cohort, no complications related to the bone marrow aspiration were detected.
The GPS is a marker for the patient’s systemic immune response and is based on two acute phase reactant proteins, C-reactive protein (CRP) and Albumin. An elevated GPS reflects a compromised cell-mediated immunity [20]. This inflammation is induced by proinflammatory cytokines released by the tumor [21]. CRP is a positive acute-phase reactant in inflammation. Elevated preoperative CRP level is an independent predictor for poor outcome in PDAC [22].
Hypoalbuminemia is also a well-known negative prognostic factor in cancer patients undergoing surgery. Albumin is a nutritional marker that identifies poor nutritional status in cancer patients and is a negative acute-phase reactant that decreases in inflammatory states indicating a compromised immune system [23,24]. Consequently, elevated GPS has proven to be associated with poor prognosis in several solid tumors [25,26]. In PDAC, GPS was related to shorter overall survival [8]. Therefore, GPS and DTC status were combined into the Hamburg-Glasgow Classification. HGC has been previously implemented in non-metastatic esophageal cancer, which resulted to be an independent preoperative prognostic indicator for overall and progression-free survival [13].
In 2017, the definition of borderline resectable pancreatic ductal adenocarcinoma (BR-PDAC) was expanded from solely depending on anatomic criteria to include biological factors like questionable metastatic disease and conditional host factors such as suboptimal performance status, or severe medical comorbidities [27]. For this reason, the HGC could serve as an objective tool to identify patients with radiologically resectable PDAC with favorable (HGC I/II) or worse clinical outcomes (HGC III/IV). So that patients with HGC I–II could proceed with surgical exploration and resection, however, in patients with HGC III–IV, a neoadjuvant approach could be offered to treat micrometastases and to test tumor biology before resection as well as to increase possible R0 resections which is an important prognostic factor in PDAC [28].
In this study, we showed that the HGC is a strong predictor of oncological outcome in PDAC and is associated with shorter OS and PFS in patients with PDAC. Hamburg-Glasgow classification seems to be an objective, easily available, and significant prognosticator for the survival of patients with PDAC which should be used in addition to the TNM classification. Even in non-metastatic PDAC, the HGC showed significant survival stratification between the groups HGC I/II and III/IV, so that patients with resectable PDAC and HGC III/IV should be considered as borderline resectable PDAC, who could benefit from a neoadjuvant approach. Patients with HGC III/IV had a mean overall survival of 9.3 and 4.8 months, respectively, regardless of their TNM stage.
In this cohort, we included patients with different tumor stages, with localized and metastatic disease as well as patients in resectable and non-resectable settings, which simulates real-life situations that regularly encounter surgeons treating PDAC, where a preoperative prognostic classification is lacking and the decision for surgical exploration mostly depends on imaging studies. We were able to show that the HGC is independent of the TNM system. The implementation of the HGC into standard clinical preoperative staging might add significant information on tumor biology to the TNM classification, which might improve treatment in patients with PDAC. However, larger prospective validation studies are required before the implementation of HGC in TNM classification. Furthermore, our study could serve as a ground platform for the integration of new forms of liquid biopsies, like CTC, cfDNA, microRNA, and ctDNA [29,30] into clinical practice as a step-forward for personalized therapy in PDAC.

5. Limitations

The HGC is a promising staging classification system for PDAC. However, we recognize that there are limiting factors to our study: (i) single-institution study (ii) this study is from an era in which modern chemotherapy (such as gem nab-paclitaxel and FOLFIRINOX) for either adjuvant or systemic disease was not in use (iii) the lack of comparative data, for example, ASA or ECOG scores. However, we report on a homogenous and large study population in different stages of PDAC who had no preoperative systemic therapy which might affect the DTC and SIR status.

6. Conclusions

The HGC is a promising preoperative staging classification that shows significant risk stratification for overall survival and progression-free survival in patients with PDAC. Our results suggest that HGC can enable accurate preoperative staging in addition to the TNM classification which might improve the treatment of patients with PDAC.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/cancers13235942/s1, Figure S1. Univariate Kaplan–Meier analysis for overall survival according to HGC in metastatic pancreatic cancer, Figure S2. Univariate Kaplan–Meier analysis for progression-free survival according to HGC in metastatic pancreatic cancer, Figure S3. Univariate Kaplan–Meier analysis for overall survival according to the metastatic status, Figure S4. Univariate Kaplan–Meier analysis for progression-free survival according to the metastatic status, Figure S5. Univariate Kaplan–Meier analysis for overall survival according to Resection status, Figure S6. Univariate Kaplan–Meier analysis for progression-free survival according to Resection status, Figure S7. Univariate Kaplan–Meier analysis for overall survival according to DTC detection, Figure S8. Univariate Kaplan–Meier analysis for progression-free survival according to DTC detection, Table S1. Multivariate analysis of overall survival in patients with pancreatic cancer without stratification, Table S2. Multivariate analysis of progression-free survival in patients with pancreatic cancer without stratification, Table S3. Multivariate analysis of overall survival in patients with pancreatic cancer when considering chemotherapy (n = 51), Table S4. Multivariate analysis of progression-free survival in patients with pancreatic cancer when considering chemotherapy.

Author Contributions

Conceptualization, M.R. Data curation, V.A. and K.E. Investigation, K.E. and K.P. Supervision, F.G.U., T.G. and J.R.I. Formal analysis T.S.A.A. and A.D. Writing—original draft T.S.A.A. Writing—review and editing M.R., K.P. and K.E. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Institutional Review Board and the medical ethics committee of the Chamber of Physicians of Hamburg, Germany (PV 3548).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The datasets used during the current study are available from the corresponding author on reasonable request.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [Green Version]
  2. Drouillard, A.; Manfredi, S.; Lepage, C.; Bouvier, A.M. Epidemiology of pancreatic cancer. Bull. Cancer 2018, 105, 63–69. [Google Scholar] [CrossRef]
  3. Brunner, M.; Wu, Z.; Krautz, C.; Pilarsky, C.; Grützmann, R.; Weber, G.F. Current Clinical Strategies of Pancreatic Cancer Treatment and Open Molecular Questions. Int. J. Mol. Sci. 2019, 20, 4543. [Google Scholar] [CrossRef] [Green Version]
  4. Effenberger, K.E.; Schroeder, C.; Hanssen, A.; Wolter, S.; Eulenburg, C.; Tachezy, M.; Gebauer, F.; Izbicki, J.R.; Pantel, K.; Bockhorn, M. Improved Risk Stratification by Circulating Tumor Cell Counts in Pancreatic Cancer. Clin. Cancer Res. 2018, 24, 2844–2850. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Effenberger, K.E.; Schroeder, C.; Eulenburg, C.; Reeh, M.; Tachezy, M.; Riethdorf, S.; Vashist, Y.K.; Izbicki, J.R.; Pantel, K.; Bockhorn, M. Disseminated tumor cells in pancreatic cancer-an independent prognosticator of disease progression and survival. Int. J. Cancer 2012, 131, E475–E483. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  6. Van Roessel, S.; Kasumova, G.G.; Verheij, J.; Najarian, R.M.; Maggino, L.; de Pastena, M.; Malleo, G.; Marchegiani, G.; Salvia, R.; Ng, S.C.; et al. International Validation of the Eighth Edition of the American Joint Committee on Cancer (AJCC) TNM Staging System in Patients With Resected Pancreatic Cancer. JAMA Surg. 2018, 153, e183617. [Google Scholar] [CrossRef] [PubMed]
  7. Vakkila, J.; Lotze, M.T. Inflammation and necrosis promote tumour growth. Nat. Rev. Immunol. 2004, 4, 641–648. [Google Scholar] [CrossRef]
  8. La Torre, M.; Nigri, G.; Cavallini, M.; Mercantini, P.; Ziparo, V.; Ramacciato, G. The glasgow prognostic score as a predictor of survival in patients with potentially resectable pancreatic adenocarcinoma. Ann. Surg. Oncol. 2012, 19, 2917–2923. [Google Scholar] [CrossRef]
  9. Roxburgh, C.S.; McMillan, D.C. Role of systemic inflammatory response in predicting survival in patients with primary operable cancer. Future Oncol. 2010, 6, 149–163. [Google Scholar] [CrossRef]
  10. Edge, S.B.; Byrd, D.R.; Carducci, M.A.; Compton, C.C. AJCC Cancer Staging Manual; Springer: Berlin, Germay, 2009. [Google Scholar]
  11. Wang, Y.; Li, P.; Li, J.; Lai, Y.; Zhou, K.; Wang, X.; Che, G. The prognostic value of pretreatment Glasgow Prognostic Score in patients with esophageal cancer: A meta-analysis. Cancer Manag. Res. 2019, 11, 8181–8190. [Google Scholar] [CrossRef] [Green Version]
  12. He, L.; Li, H.; Cai, J.; Chen, L.; Yao, J.; Zhang, Y.; Xu, W.; Geng, L.; Yang, M.; Chen, P.; et al. Prognostic Value of the Glasgow Prognostic Score or Modified Glasgow Prognostic Score for Patients with Colorectal Cancer Receiving Various Treatments: A Systematic Review and Meta-Analysis. Cell Physiol. Biochem. 2018, 51, 1237–1249. [Google Scholar] [CrossRef]
  13. Reeh, M.; Ghadban, T.; Uzunoglu, F.G.; Nentwich, M.F.; Bockhorn, M.; Pantel, K.; Izbicki, J.R.; Vashist, Y.K. Hamburg-Glasgow classification: Preoperative staging by combination of disseminated tumour load and systemic inflammation in oesophageal carcinoma. Br. J. Cancer 2017, 117, 612–618. [Google Scholar] [CrossRef] [Green Version]
  14. Seufferlein, T.; Porzner, M.; Becker, T.; Budach, V.; Ceyhan, G.; Esposito, I.; Fietkau, R.; Follmann, M.; Friess, H.; Galle, P.; et al. S3-guideline exocrine pancreatic cancer. Z. Gastroenterol. 2013, 51, 1395–1440. [Google Scholar] [CrossRef] [Green Version]
  15. Borgen, E.; Naume, B.; Nesland, J.M.; Kvalheim, G.; Beiske, K.; Fodstad, O.; Diel, I.; Solomayer, E.F.; Theocharous, P.; Coombes, R.C.; et al. Standardization of the immunocytochemical detection of cancer cells in BM and blood: I. establishment of objective criteria for the evaluation of immunostained cells. Cytotherapy 1999, 1, 377–388. [Google Scholar] [CrossRef]
  16. Honselmann, K.C.; Pergolini, I.; Castillo, C.F.; Deshpande, V.; Ting, D.; Taylor, M.S.; Bolm, L.; Qadan, M.; Wellner, U.; Sandini, M.; et al. Timing But Not Patterns of Recurrence Is Different Between Node-negative and Node-positive Resected Pancreatic Cancer. Ann. Surg. 2020, 272, 357–365. [Google Scholar] [CrossRef] [PubMed]
  17. Demir, I.E.; Jäger, C.; Schlitter, A.M.; Konukiewitz, B.; Stecher, L.; Schorn, S.; Tieftrunk, E.; Scheufele, F.; Calavrezos, L.; Schirren, R.; et al. R0 Versus R1 Resection Matters after Pancreaticoduodenectomy, and Less after Distal or Total Pancreatectomy for Pancreatic Cancer. Ann. Surg. 2018, 268, 1058–1068. [Google Scholar] [CrossRef] [PubMed]
  18. Abdalla, T.S.A.; Meiners, J.; Riethdorf, S.; König, A.; Melling, N.; Gorges, T.; Karstens, K.F.; Izbicki, J.R.; Pantel, K.; Reeh, M. Prognostic value of preoperative circulating tumor cells counts in patients with UICC stage I-IV colorectal cancer. PLoS ONE 2021, 16, e0252897. [Google Scholar] [CrossRef]
  19. Pantel, K.; Brakenhoff, R.H.; Brandt, B. Detection, clinical relevance and specific biological properties of disseminating tumour cells. Nat. Rev. Cancer 2008, 8, 329–340. [Google Scholar] [CrossRef]
  20. McMillan, D.C. The systemic inflammation-based Glasgow Prognostic Score: A decade of experience in patients with cancer. Cancer Treat. Rev. 2013, 39, 534–540. [Google Scholar] [CrossRef]
  21. Mantovani, A.; Allavena, P.; Sica, A.; Balkwill, F. Cancer-related inflammation. Nature 2008, 454, 436–444. [Google Scholar] [CrossRef] [PubMed]
  22. Jamieson, N.B.; Glen, P.; McMillan, D.C.; McKay, C.J.; Foulis, A.K.; Carter, R.; Imrie, C.W. Systemic inflammatory response predicts outcome in patients undergoing resection for ductal adenocarcinoma head of pancreas. Br. J. Cancer 2005, 92, 21–23. [Google Scholar] [CrossRef] [Green Version]
  23. Kim, S.; McClave, S.A.; Martindale, R.G.; Miller, K.R.; Hurt, R.T. Hypoalbuminemia and Clinical Outcomes: What is the Mechanism behind the Relationship? Am. Surg. 2017, 83, 1220–1227. [Google Scholar] [CrossRef]
  24. McMillan, D.C. An inflammation-based prognostic score and its role in the nutrition-based management of patients with cancer. Proc. Nutr. Soc. 2008, 67, 257–262. [Google Scholar] [CrossRef] [Green Version]
  25. Lu, X.; Guo, W.; Xu, W.; Zhang, X.; Shi, Z.; Zheng, L.; Zhao, W. Prognostic value of the Glasgow prognostic score in colorectal cancer: A meta-analysis of 9839 patients. Cancer Manag. Res. 2019, 11, 229–249. [Google Scholar] [CrossRef] [Green Version]
  26. Yu, X.; Wen, Y.; Lin, Y.; Zhang, X.; Chen, Y.; Wang, W.; Wang, G.; Zhang, L. The value of preoperative Glasgow Prognostic Score and the C-Reactive Protein to Albumin Ratio as prognostic factors for long-term survival in pathological T1N0 esophageal squamous cell carcinoma. J. Cancer 2018, 9, 807–815. [Google Scholar] [CrossRef] [Green Version]
  27. Isaji, S.; Mizuno, S.; Windsor, J.A.; Bassi, C.; Fernández-Del Castillo, C.; Hackert, T.; Hayasaki, A.; Katz, M.H.G.; Kim, S.W.; Kishiwada, M.; et al. International consensus on definition and criteria of borderline resectable pancreatic ductal adenocarcinoma 2017. Pancreatology 2018, 18, 2–11. [Google Scholar] [CrossRef] [PubMed]
  28. Versteijne, E.; Suker, M.; Groothuis, K.; Akkermans-Vogelaar, J.M.; Besselink, M.G.; Bonsing, B.A.; Buijsen, J.; Busch, O.R.; Creemers, G.-J.M.; van Dam, R.M.; et al. Preoperative Chemoradiotherapy Versus Immediate Surgery for Resectable and Borderline Resectable Pancreatic Cancer: Results of the Dutch Randomized Phase III PREOPANC Trial. J. Clin. Oncol. 2020, 38, 1763–1773. [Google Scholar] [CrossRef] [PubMed]
  29. Brancaccio, M.; Natale, F.; Falco, G.; Angrisano, T. Cell-Free DNA Methylation: The New Frontiers of Pancreatic Cancer Biomarkers’ Discovery. Genes 2020, 11, 14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  30. Yadav, D.K.; Bai, X.; Yadav, R.K.; Singh, A.; Li, G.; Ma, T.; Chen, W.; Liang, T. Liquid biopsy in pancreatic cancer: The beginning of a new era. Oncotarget 2018, 9, 26900. [Google Scholar] [CrossRef] [Green Version]
Figure 1. (A)Univariate Kaplan–Meier analysis for overall survival according to Hamburg-Glasgow classification. (B) Univariate Kaplan–Meier analysis for progression-free survival according to Hamburg-Glasgow classification.
Figure 1. (A)Univariate Kaplan–Meier analysis for overall survival according to Hamburg-Glasgow classification. (B) Univariate Kaplan–Meier analysis for progression-free survival according to Hamburg-Glasgow classification.
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Figure 2. (A) Univariate Kaplan–Meier analysis for overall survival according to TNM UICC classification. (B) Univariate Kaplan–Meier analysis for progression-free survival according to TNM UICC classification.
Figure 2. (A) Univariate Kaplan–Meier analysis for overall survival according to TNM UICC classification. (B) Univariate Kaplan–Meier analysis for progression-free survival according to TNM UICC classification.
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Figure 3. Univariate Kaplan–Meier analysis for overall survival (A) and progression free survival (B) in non-metastatic PDAC, HGC I–II vs. III–IV. In (A), Log Rank (Mantel-Cox) Chi-Square 14.456 and p-value < 0.001; In (B), Log Rank (Mantel-Cox) Chi-Square 16.405 and p-value <0.001. p-value indicates significance according to Log-Rank (Mantel–Cox) test.
Figure 3. Univariate Kaplan–Meier analysis for overall survival (A) and progression free survival (B) in non-metastatic PDAC, HGC I–II vs. III–IV. In (A), Log Rank (Mantel-Cox) Chi-Square 14.456 and p-value < 0.001; In (B), Log Rank (Mantel-Cox) Chi-Square 16.405 and p-value <0.001. p-value indicates significance according to Log-Rank (Mantel–Cox) test.
Cancers 13 05942 g003
Table 1. Definition of Hamburg-Glasgow Classification [13].
Table 1. Definition of Hamburg-Glasgow Classification [13].
VariablesHGC IHGC IIHGC IIIHGC IV
DTCNeg.Neg.Neg.PosPosPos
CRP<10≥10≥10<10≥10≥10
Albuminand >35or ≤35and ≤35and >35or ≤35and ≤35
Legend: CRP; C-reactive protein, DTC; disseminated tumor cell.
Table 2. Patient characteristics and the correlation between Hamburg-Glasgow classification (HGC) and clinicopathological parameters.
Table 2. Patient characteristics and the correlation between Hamburg-Glasgow classification (HGC) and clinicopathological parameters.
VariablesHamburg-Glasgow ClassificationTotalp
HGC IHGC IIHGC IIIHGC IV
Total4436218109
Age 0.735
<6520177448
≥65241914461
109
Sex 0.638
Female211810251
Male231811658
109
Tumor grade 0.309
G132005
G2211611149
G31175427
81
Tumor size 0.665
T101001
T230104
T3242214363
T41184125
Tx652316
109
Nodal status 0.837
N010105025
N1252012562
Nx763218
105
Metastatic status 0.415
M0252116466
M119155443
109
Resection Margin 0.098
R016126337
R110119030
R2441413
Rx (no resection)1284227
109
UICC 0.669
Stage I20103
Stage II151712347
Stage III531110
Stage IV19155443
103
Type of Operation 0.398
Distal pancreatectomy651113
Pancreaticoduodenectomy272116165
Total pancreatectomy21014
No resection10103427
109
Legend: p-value Indicates significance according to the Pearson Chi-square test between different HGC groups.
Table 3. Univariate and Multivariate analysis of overall survival in patients with PDAC.
Table 3. Univariate and Multivariate analysis of overall survival in patients with PDAC.
Univariate AnalysisMultivariate Analysis
HR95% CIpHR95% Clp
Age,
<65, ≥65
1.550.89–2.670.1151.881.04–3.410.035
Sex,
male vs. female
1.010.59–1.740.9941.370.76–2.450.288
Tumor size,
T1–4
1.911.39–2.63≤0.0011.180.76–1.830.330
Nodal status,
neg vs. pos
2.681.21–15.960.0153.051.21–7.640.017
UICC,
I–IV
1.511.22–1.86≤0.0011.300.98–1.730.064
HGC, ≤0.001 ≤0.001
IV vs. I0.160.06–0.39≤0.0010.130.04–0.46≤0.001
IV vs. II0.190.07–0.48≤0.0010.250.09–0.720.008
IV vs. III0.370.14–1.010.0530.780.24–2.40.67
Resection margin,
R0/R1 vs. R2/Rx
2.511.45–4.370.0011.510.79–2.900.21
Legend: p Indicates significance according to Cox regression analysis comparing the specified variables. HR indicates hazard ratio.
Table 4. Univariate and Multivariate analysis of progression-free survival in patients with PDAC.
Table 4. Univariate and Multivariate analysis of progression-free survival in patients with PDAC.
Univariate AnalysisMultivariate Analysis
HR95% CIpHR95% Clp
Age,
<65, ≥65
1.660.95–2.900.0742.081.13–3.850.019
Sex,
male vs. female
0.9930.57–1.710.9781.290.71–2.310.392
Tumor size,
T1–4
1.861.35–2.55≤0.0011.310.81–2.100.260
Nodal status,
neg vs. pos
2.000.97–4.130.0592.270.98–5.230.055
UICC,
I–IV
1.511.22–1.86≤0.0011.130.84–1.510.412
HGC, ≤0.001 ≤0.001
IV vs. I0.160.06–0.44≤0.0010.130.04–0.41≤0.001
IV vs. II0.200.07–0.53≤0.0010.250.08–0.760.008
IV vs. III0.510.18–1.410.1970.930.28–3.040.90
Resection margin,
R0/R1 vs. R2/Rx
2.921.65–5.17≤0.0012.031.04–3.980.038
Legend: p Indicates significance according to Cox regression analysis comparing the specified variables. HR indicates hazard ratio.
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Abdalla, T.S.A.; Almanfalouti, V.; Effenberger, K.; Uzunoglu, F.G.; Ghadban, T.; Dupreé, A.; Izbicki, J.R.; Pantel, K.; Reeh, M. Evaluation of the Hamburg-Glasgow Classification in Pancreatic Cancer: Preoperative Staging by Combining Disseminated Tumor Load and Systemic Inflammation. Cancers 2021, 13, 5942. https://doi.org/10.3390/cancers13235942

AMA Style

Abdalla TSA, Almanfalouti V, Effenberger K, Uzunoglu FG, Ghadban T, Dupreé A, Izbicki JR, Pantel K, Reeh M. Evaluation of the Hamburg-Glasgow Classification in Pancreatic Cancer: Preoperative Staging by Combining Disseminated Tumor Load and Systemic Inflammation. Cancers. 2021; 13(23):5942. https://doi.org/10.3390/cancers13235942

Chicago/Turabian Style

Abdalla, Thaer S. A., Valeria Almanfalouti, Katharina Effenberger, Faik G. Uzunoglu, Tarik Ghadban, Anna Dupreé, Jakob R. Izbicki, Klaus Pantel, and Matthias Reeh. 2021. "Evaluation of the Hamburg-Glasgow Classification in Pancreatic Cancer: Preoperative Staging by Combining Disseminated Tumor Load and Systemic Inflammation" Cancers 13, no. 23: 5942. https://doi.org/10.3390/cancers13235942

APA Style

Abdalla, T. S. A., Almanfalouti, V., Effenberger, K., Uzunoglu, F. G., Ghadban, T., Dupreé, A., Izbicki, J. R., Pantel, K., & Reeh, M. (2021). Evaluation of the Hamburg-Glasgow Classification in Pancreatic Cancer: Preoperative Staging by Combining Disseminated Tumor Load and Systemic Inflammation. Cancers, 13(23), 5942. https://doi.org/10.3390/cancers13235942

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