CC BY-NC-ND 4.0 · Horm Metab Res 2023; 55(07): 452-461
DOI: 10.1055/a-2102-7694
Original Article: Endocrine Care

The Role of Alternative Lymph Node Classification Systems in Gastroenteropancreatic Neuroendocrine Neoplasms (GEP-NEN): Superiority of a LODDS Scheme Over N Category in Pancreatic NEN (pNEN)

Sarah Krieg
2   Clinic for Gastroenterology, Hepatology and Infectious Diseases, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
Johannes Tunk
1   Department of Surgery (A), Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
Sascha Vaghiri
1   Department of Surgery (A), Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
Dimitrios Prassas
1   Department of Surgery (A), Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
Henning Jann
3   Department of Hepatology and Gastroenterology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum (CVK) and Campus Charité Mitte (CCM), Berlin, Germany
,
Raphael Mohr
3   Department of Hepatology and Gastroenterology, Charité-Universitätsmedizin Berlin, Campus Virchow-Klinikum (CVK) and Campus Charité Mitte (CCM), Berlin, Germany
,
Sven Heiko Loosen
2   Clinic for Gastroenterology, Hepatology and Infectious Diseases, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
Christoph Roderburg
2   Clinic for Gastroenterology, Hepatology and Infectious Diseases, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
Sebastian Maasberg
4   Department of Internal Medicine and Gastroenterology, Asklepios Klinik St. Georg, Hamburg, Germany
,
Nehara Begum
5   Department of General-, Visceral-, Thoracic- and Endocrine Surgery, Johannes Wesling Hospital Minden, Minden, Germany
,
Tom Luedde
2   Clinic for Gastroenterology, Hepatology and Infectious Diseases, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
Matthias Schott
6   Division for Specific Endocrinology, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
Frederik Giesel
7   Department of Nuclear Medicine, Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
Wolfram Trudo Knoefel
1   Department of Surgery (A), Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
1   Department of Surgery (A), Heinrich-Heine-University and University Hospital Duesseldorf, Duesseldorf, Germany
,
and the members of the German NET Registry › Author Affiliations

Abstract

Lymph node (LN) involvement in gastroenteropancreatic neuroendocrine neoplasms (GEP-NEN) has been reported to have prognostic and therapeutic implications. Numerous novel LN classifications exist; however, no comparison of their prognostic performance for GEP-NEN has been done yet. Using a nationwide cohort from the German Neuroendocrine Tumor (NET) Registry, the prognostic and discriminatory power of different LN ratio (LNR) and log odds of metastatic LN (LODDS) classifications were investigated using multivariate Cox regression and C-statistics in 671 patients with resected GEP-NEN. An increase in positive LN (pLN), LNR, and LODDS was associated with advanced tumor stages, distant metastases, and hormonal functionality. However, none of the alternative LN classifications studied showed discriminatory superiority in predicting prognosis over the currently used N category. Interestingly, in a subgroup analysis, one LODDS classification was identified that might be most appropriate for patients with pancreatic NEN (pNEN). On this basis, a nomogram was constructed to estimate the prognosis of pNEN patients after surgery. In conclusion, a more accurate classification of LN status may allow a more precise prediction of overall survival and provide the basis for individualized strategies for postoperative treatment and surveillance especially for patients with pNEN.

Supplementary Material



Publication History

Received: 09 May 2023

Accepted after revision: 12 May 2023

Article published online:
10 July 2023

© 2023. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 Modlin IM, Oberg K, Chung DC. et al. Gastroenteropancreatic neuroendocrine tumours. Lancet Oncol 2008; 9: 61-72
  • 2 Modlin IM, Lye KD, Kidd M. A 5-decade analysis of 13,715 carcinoid tumors. Cancer 2003; 97: 934-959
  • 3 Das S, Dasari A. Epidemiology, incidence, and prevalence of neuroendocrine neoplasms: are there global differences?. Curr Oncol Rep 2021; 23: 43
  • 4 Dasari A, Shen C, Halperin D. et al. Trends in the incidence, prevalence, and survival outcomes in patients with neuroendocrine tumors in the United States. JAMA Oncol 2017; 3: 1335-1342
  • 5 Detjen K, Hammerich L, Özdirik B. et al. Models of gastroenteropancreatic neuroendocrine neoplasms: current status and future directions. Neuroendocrinology 2021; 111: 217-236
  • 6 Rindi G, Klimstra DS, Abedi-Ardekani B. et al. A common classification framework for neuroendocrine neoplasms: an International Agency for Research on Cancer (IARC) and World Health Organization (WHO) expert consensus proposal. Modern Pathol 2018; 31: 1770-1786
  • 7 Klimstra DS, Klöppel G, La Rosa S. et al. Classification of neuroendocrine neoplasms of the digestive system. In: WHO Classification of Tumours Digestive System Tumours. 5th edn.. Lyon: IARC; 2019: 16-19
  • 8 Curran T, Tulin-Silver S, Patel K. et al. Prognostic clinicopathologic factors in longitudinally followed patients with metastatic small bowel carcinoid tumors. Pancreas 2011; 40: 1253-1257
  • 9 TNM classification of malignant tumours, 8th Edition. New York: Wiley-Blackwell; 2017
  • 10 AJCC cancer staging manual, 8th edn.. Berlin: Springer International Publishing; 2017
  • 11 Kim MK, Warner RR, Roayaie S. et al. Revised staging classification improves outcome prediction for small intestinal neuroendocrine tumors. J Clin Oncol 2013; 31: 3776-3781
  • 12 Landry CS, Lin HY, Phan A. et al. Resection of at-risk mesenteric lymph nodes is associated with improved survival in patients with small bowel neuroendocrine tumors. World J Surg 2013; 37: 1695-1700
  • 13 Dizdar L, Oesterwind KA, Riemer JC. et al. Preclinical assesement of survivin and XIAP as prognostic biomarkers and therapeutic targets in gastroenteropancreatic neuroendocrine neoplasia. Oncotarget 2017; 8: 8369-8382
  • 14 Prassas D, Verde PE, Pavljak C. et al. Prognostic discrimination of alternative lymph node classification systems for patients with radically resected non-metastatic colorectal cancer: a cohort study from a single tertiary referral center. Cancers 2021; 13: 3898
  • 15 Prassas D, Safi SA, Stylianidi MC. et al. N, LNR or LODDS: Which is the most appropriate lymph node classification scheme for patients with radically resected pancreatic cancer?. Cancers 2022; 14: 1834
  • 16 Prassas D, Kounnamas A, Cupisti K. et al. Prognostic performance of alternative lymph node classification systems for patients with medullary thyroid cancer: a single center cohort study. Ann Surg Oncol 2022; 29: 2561-2569
  • 17 Jiang S, Zhao L, Xie C. et al. Prognostic performance of different lymph node staging systems in patients with small bowel neuroendocrine tumors. Front Endocrinol 2020; 11: 402
  • 18 Agnes A, Biondi A, Cananzi FM. et al. Ratio-based staging systems are better than the 7th and 8th editions of the TNM in stratifying the prognosis of gastric cancer patients: a multicenter retrospective study. J Surg Oncol 2019; 119: 948-957
  • 19 Arslan NC, Sokmen S, Canda AE. et al. The prognostic impact of the log odds of positive lymph nodes in colon cancer. Colorectal Dis 2014; 16: O386-O392
  • 20 Bagante F, Tran T, Spolverato G. et al. Perihilar cholangiocarcinoma: number of nodes examined and optimal lymph node prognostic scheme. J Am Coll Surg 2016; 222: 750-759 e752
  • 21 Calero A, Escrig-Sos J, Mingol F. et al. Usefulness of the log odds of positive lymph nodes to predict and discriminate prognosis in gastric carcinomas. J Gastrointest Surg 2015; 19: 813-820
  • 22 Cao H, Tang Z, Yu Z. et al. Comparison of the 8th union for international cancer control lymph node staging system for gastric cancer with two other lymph node staging systems. Oncol Lett 2019; 17: 1299-1305
  • 23 Chang YJ, Chang YJ, Chen LJ. et al. Evaluation of lymph nodes in patients with colon cancer undergoing colon resection: a population-based study. World J Surg 2012; 36: 1906-1914
  • 24 Chen L, Wang Y, Zhao K. et al. Postoperative nomogram for predicting cancer-specific and overall survival among patients with medullary thyroid cancer. Int J Endocrinol 2020; 8888677
  • 25 Conci S, Ruzzenente A, Sandri M. et al. What is the most accurate lymph node staging method for perihilar cholangiocarcinoma? Comparison of UICC/AJCC pN stage, number of metastatic lymph nodes, lymph node ratio, and log odds of metastatic lymph nodes. Eur J Surg Oncol 2017; 43: 743-750
  • 26 Fang HY, Yang H, He ZS. et al. Log odds of positive lymph nodes is superior to the number- and ratio-based lymph node classification systems for colorectal cancer patients undergoing curative (R0) resection. Mol Clin Oncol 2017; 6: 782-788
  • 27 Fortea-Sanchis C, Martinez-Ramos D, Escrig-Sos J. The lymph node status as a prognostic factor in colon cancer: comparative population study of classifications using the logarithm of the ratio between metastatic and nonmetastatic nodes (LODDS) versus the pN-TNM classification and ganglion ratio systems. BMC Cancer 2018; 18: 1208
  • 28 Huang B, Chen C, Ni M. et al. Log odds of positive lymph nodes is a superior prognostic indicator in stage III rectal cancer patients: a retrospective analysis of 17,632 patients in the SEER database. Int J Surg 2016; 32: 24-30
  • 29 Jian-Hui C, Shi-Rong C, Hui W. et al. Prognostic value of three different lymph node staging systems in the survival of patients with gastric cancer following D2 lymphadenectomy. Tumour Biol 2016; 37: 11105-11113
  • 30 La Torre M, Nigri G, Petrucciani N. et al. Prognostic assessment of different lymph node staging methods for pancreatic cancer with R0 resection: pN staging, lymph node ratio, log odds of positive lymph nodes. Pancreatology 2014; 14: 289-294
  • 31 Lee JW, Ali B, Park CH. et al. Different lymph node staging systems in patients with gastric cancer from Korean: What is the best prognostic assessment tool?. Medicine (Baltimore) 2016; 95: e3860
  • 32 Liu H, Deng J, Zhang R. et al. The RML of lymph node metastasis was superior to the LODDS for evaluating the prognosis of gastric cancer. Int J Surg 2013; 11: 419-424
  • 33 Malleo G, Maggino L, Capelli P. et al. Reappraisal of nodal staging and study of lymph node station involvement in pancreaticoduodenectomy with the standard international study group of pancreatic surgery definition of lymphadenectomy for cancer. J Am Coll Surg 2015; 221: 367-379 e364
  • 34 Negi SS, Singh A, Chaudhary A. Lymph nodal involvement as prognostic factor in gallbladder cancer: location, count or ratio?. J Gastrointest Surg 2011; 15: 1017-1025
  • 35 Riediger H, Kulemann B, Wittel U. et al. Prognostic role of log odds of lymph nodes after resection of pancreatic head cancer. J Gastrointest Surg 2016; 20: 1707-1715
  • 36 Rosenberg R, Friederichs J, Schuster T. et al. Prognosis of patients with colorectal cancer is associated with lymph node ratio: a single-center analysis of 3,026 patients over a 25-year time period. Ann Surg 2008; 248: 968-978
  • 37 Smith DD, Nelson RA, Schwarz RE. A comparison of five competing lymph node staging schemes in a cohort of resectable gastric cancer patients. Ann Surg Oncol 2014; 21: 875-882
  • 38 Song YX, Gao P, Wang ZN. et al. Which is the most suitable classification for colorectal cancer, log odds, the number or the ratio of positive lymph nodes?. PLoS One 2011; 6: e28937
  • 39 Sun Z, Xu Y, Li de M. et al. Log odds of positive lymph nodes: a novel prognostic indicator superior to the number-based and the ratio-based N category for gastric cancer patients with R0 resection. Cancer 2010; 116: 2571-2580
  • 40 Wang J, Hassett JM, Dayton MT. et al. The prognostic superiority of log odds of positive lymph nodes in stage III colon cancer. J Gastrointest Surg 2008; 12: 1790-1796
  • 41 Wang W, Xu DZ, Li YF. et al. Tumor-ratio-metastasis staging system as an alternative to the 7th edition UICC TNM system in gastric cancer after D2 resection--results of a single-institution study of 1343 Chinese patients. Ann Oncol 2011; 22: 2049-2056
  • 42 Xu J, Cao J, Wang L. et al. Prognostic performance of three lymph node staging schemes for patients with Siewert type II adenocarcinoma of esophagogastric junction. Sci Rep 2017; 7: 10123
  • 43 Zhou R, Zhang J, Sun H. et al. Comparison of three lymph node classifications for survival prediction in distant metastatic gastric cancer. Int J Surg 2016; 35: 165-171
  • 44 Amini N, Spolverato G, Kim Y. et al. Lymph node status after resection for gallbladder adenocarcinoma: prognostic implications of different nodal staging/scoring systems. J Surg Oncol 2015; 111: 299-305
  • 45 Amini N, Kim Y, Wilson A. et al. Prognostic implications of lymph node status for patients with gallbladder cancer: a multi-institutional study. Ann Surg Oncol 2016; 23: 3016-3023
  • 46 Cao J, Yuan P, Ma H. et al. Log odds of positive lymph nodes predicts survival in patients after resection for esophageal cancer. Ann Thorac Surg 2016; 102: 424-432
  • 47 He C, Mao Y, Wang J. et al. Surgical management of periampullary adenocarcinoma: defining an optimal prognostic lymph node stratification schema. J Cancer 2018; 9: 1667-1679
  • 48 Persiani R, Cananzi FC, Biondi A. et al. Log odds of positive lymph nodes in colon cancer: a meaningful ratio-based lymph node classification system. World J Surg 2012; 36: 667-674
  • 49 Ramacciato G, Nigri G, Petrucciani N. et al. Prognostic role of nodal ratio, LODDS, pN in patients with pancreatic cancer with venous involvement. BMC Surg 2017; 17: 109
  • 50 Tang J, Jiang S, Gao L. et al. Construction and validation of a nomogram based on the log odds of positive lymph nodes to predict the prognosis of medullary thyroid carcinoma after surgery. Ann Surg Oncol 2021; 28: 4360-4370
  • 51 Toth D, Biro A, Varga Z. et al. Comparison of different lymph node staging systems in prognosis of gastric cancer: a bi-institutional study from Hungary. Chin J Cancer Res 2017; 29: 323-332
  • 52 Wang X, Appleby DH, Zhang X. et al. Comparison of three lymph node staging schemes for predicting outcome in patients with gastric cancer. Br J Surg 2013; 100: 505-514
  • 53 Wu SG, Sun JY, Yang LC. et al. Prognosis of patients with esophageal squamous cell carcinoma after esophagectomy using the log odds of positive lymph nodes. Oncotarget 2015; 6: 36911-36922
  • 54 Xu J, Bian YH, Jin X. et al. Prognostic assessment of different metastatic lymph node staging methods for gastric cancer after D2 resection. World J Gastroenterol 2013; 19: 1975-1983
  • 55 Yang M, Zhang H, Ma Z. et al. Log odds of positive lymph nodes is a novel prognostic indicator for advanced ESCC after surgical resection. J Thorac Dis 2017; 9: 1182-1189
  • 56 DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 1988; 44: 837-845
  • 57 R Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing. 2020 https://CRANR-projectorg
  • 58 Read excel files. R package version 1.4.0 https://cran.r-project.org/web/packages/readxl/index.html
  • 59 Survival analysis. R package version 3.3-1 https://cran.r-project.org/web/packages/survival/index.html
  • 60 Drawing survival curves using ‘ggplot2’. R package version 0.4.9 https://cran.r-project.org/web/packages/survminer/survminer.pdf
  • 61 Manipulating labelled data. R package version 2.9.1 https://cran.r-project.org/web/packages/labelled/labelled.pdf
  • 62 Data structures, summaries, and visualisations for missing data. R package version 0.6.1 https://cran.r-project.org/web/packages/naniar/naniar.pdf
  • 63 Convert statistical objects into tidy tibbles. R package version 0.8.0 https://cran.r-project.org/web/packages/broom/broom.pdf
  • 64 Xie Y. Dynamic documents with R and knitr, 2nd edition. London: Chapman and Hall; 2015
  • 65 Interpreted string literals. R package version 1.6.2 https://cran.r-project.org/web/packages/glue/glue.pdf
  • 66 Highlight lines and points in ‘ggplot2’. R package version 0.4.0 https://cran.r-project.org/web/packages/gghighlight/gghighlight.pdf
  • 67 Simple tools for examining and cleaning dirty data. R package version 2.1.0 https://cran.r-project.org/web/packages/janitor/janitor.pdf
  • 68 Presentation-ready data summary and analytic result tables. R package version 1.6.1 https://cran.r-project.org/web/packages/gtsummary/gtsummary.pdf
  • 69 Easily install and load the 'Tidyverse'. R package version 1.3.1 https://cran.r-project.org/web/packages/tidyverse/tidyverse.pdf
  • 70 Display and analyze ROC curves. R package version 1.18.0 https://cran.r-project.org/web/packages/pROC/pROC.pdf
  • 71 Create elegant data visualisations using the grammar of graphics. R package version 3.3.6 https://cran.r-project.org/web/packages/ggplot2/ggplot2.pdf
  • 72 Harrell FE. rms: regression modeling strategies. R package version 5.1-2. Dept Biostatist, Vanderbilt Univ, Nashville, TN, USA. 2017
  • 73 Feinstein AR, Sosin DM, Wells CK. The Will Rogers phenomenon. Stage migration and new diagnostic techniques as a source of misleading statistics for survival in cancer. N Engl J Med 1985; 312: 1604-1608
  • 74 Guarneri G, de Mestier L, Landoni L. et al. Prognostic role of examined and positive lymph nodes after distal pancreatectomy for non-functioning neuroendocrine neoplasms. Neuroendocrinology 2021; 111: 728-738
  • 75 Partelli S, Javed AA, Andreasi V. et al. The number of positive nodes accurately predicts recurrence after pancreaticoduodenectomy for nonfunctioning neuroendocrine neoplasms. Eur J Surg Oncol 2018; 44: 778-783
  • 76 Gao B, Zhou D, Qian X. et al. Number of positive lymph nodes is superior to LNR and LODDS for predicting the prognosis of pancreatic neuroendocrine neoplasms. Front Endocrinol 2021; 12: 613755
  • 77 Gaitanidis A, Patel D, Nilubol N. et al. A lymph node ratio-based staging model is superior to the current staging system for pancreatic neuroendocrine tumors. J Clin Endocrinol Metab 2018; 103: 187-195