Background:
Even though numerous novel lymph node (LN) classification schemes exist, an extensive comparison of their performance in patients with resected pancreatic ductal adenocarcinoma (PDAC) has not yet been performed.
Method:
We investigated the prognostic performance and discriminative ability of 25 different LN ratio (LNR) and 27 log odds of metastatic LN (LODDS) classifications by means of Cox regression and C-statistic in 319 patients with resected PDAC. Regression models were adjusted for age, sex, T category, grading, localization, presence of metastatic disease, positivity of resection margins, and neoadjuvant therapy.
Results:
Both LNR or LODDS as continuous variables were associated with advanced tumor stage, distant metastasis, positive resection margins, and PDAC of the head or corpus. Two distinct LN classifications, one LODDS and one LNR, were found to be superior to the N category in the complete patient collective. However, only the LODDS classification exhibited statistically significant, gradually increasing HRs of their subcategories and at the same time significantly higher discriminative potential in the subgroups of patients with PDAC of the head or corpus and in patients with tumor free resection margins or M0 status, respectively. On this basis, we built a clinically helpful nomogram to estimate the prognosis of patients after radically resected PDAC.
Conclusion:
One LNR and one LODDS classification scheme were found to out-perform the N category in terms of both prognostic performance and discriminative ability, in distinct patient subgroups, with reference to OS in patients with resected PDAC.
Citing Articles
Prognostic significance of three lymph node staging systems in pancreatic cancer with ≤ 12 and > 12 retrieved lymph nodes.
Zheng Y, Li R, Xu J, Shi H, Xing C, Li Z
Updates Surg. 2025; .
PMID: 39794683
DOI: 10.1007/s13304-025-02075-7.
Nomogram for predicting post-progression-free survival in patients with recurrent pancreatic ductal adenocarcinoma after radical surgery: a retrospective analysis.
Qin D, Xi P, Huang K, Jiang L, Yao Z, Wei R
Front Med (Lausanne). 2024; 11:1486750.
PMID: 39712186
PMC: 11659012.
DOI: 10.3389/fmed.2024.1486750.
Long-term efficacy of lobectomy for stage T1 papillary thyroid carcinoma with varying degrees of lymph node metastasis.
Qin C, Cai S, Qi Y, Liu M, Xu W, Yin M
Front Endocrinol (Lausanne). 2024; 15:1453601.
PMID: 39175578
PMC: 11338752.
DOI: 10.3389/fendo.2024.1453601.
Prognostic prediction and comparison of three staging programs for patients with advanced (T2-T4) esophageal squamous carcinoma after radical resection.
Wang Z, Li F, Zhu M, Lu T, Wen L, Yang S
Front Oncol. 2024; 14:1376527.
PMID: 38993638
PMC: 11236680.
DOI: 10.3389/fonc.2024.1376527.
Construction of a novel nomogram for predicting overall survival in patients with Siewert type II AEG based on LODDS: a study based on the seer database and external validation.
Yu X, Bai C, Yu Y, Guo X, Wang K, Yang H
Front Oncol. 2024; 14:1396339.
PMID: 38912066
PMC: 11193347.
DOI: 10.3389/fonc.2024.1396339.
Pancreatic mucinous adenocarcinoma has different clinical characteristics and better prognosis compared to non-specific PDAC: A retrospective observational study.
Liu J, Zhang Y, Zhou J, Zhang Z, Wen Y
Heliyon. 2024; 10(9):e30268.
PMID: 38720717
PMC: 11076975.
DOI: 10.1016/j.heliyon.2024.e30268.
Log odds of positive lymph nodes (LODDS)-based novel nomogram for survival estimation in patients with invasive micropapillary carcinoma of the breast.
Meng X, Hao F, Wang N, Qin P, Ju Z, Sun D
BMC Med Res Methodol. 2024; 24(1):90.
PMID: 38637725
PMC: 11025266.
DOI: 10.1186/s12874-024-02218-1.
A survival nomogram model for patients with resectable non-small cell lung cancer and lymph node metastasis (N1 or N2) based on the Surveillance, Epidemiology, and End Results Database and single-center data.
He C, Ni M, Liu J, Teng X, Ke L, Matsuura Y
Transl Lung Cancer Res. 2024; 13(3):573-586.
PMID: 38601448
PMC: 11002513.
DOI: 10.21037/tlcr-24-119.
Nomogram incorporating log odds of positive lymph nodes improves prognostic prediction for ovarian serous carcinoma: a real-world retrospective cohort study.
Zhang S, Liu X, Li Q, Pan Y, Tian Y, Gu X
BMJ Open. 2023; 13(10):e074206.
PMID: 37865413
PMC: 10603516.
DOI: 10.1136/bmjopen-2023-074206.
Construction and validation of a nomogram based on the log odds of positive lymph nodes to predict cancer-specific survival in patients with small cell lung cancer after surgery.
Chao C, Mei K, Wang M, Tang R, Qian Y, Wang B
Heliyon. 2023; 9(8):e18502.
PMID: 37529344
PMC: 10388206.
DOI: 10.1016/j.heliyon.2023.e18502.
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).
Krieg S, Tunk J, Vaghiri S, Prassas D, Jann H, Mohr R
Horm Metab Res. 2023; 55(7):452-461.
PMID: 37494059
PMC: 10370471.
DOI: 10.1055/a-2102-7694.
Prognostic effect of CD73 in pancreatic ductal adenocarcinoma for disease-free survival after radical surgery.
Qin D, Wei R, Huang K, Wang R, Ding H, Yao Z
J Cancer Res Clin Oncol. 2023; 149(10):7805-7817.
PMID: 37032378
DOI: 10.1007/s00432-023-04703-4.
New Personal Model for Forecasting the Outcome of Patients with Histological Grade III-IV Colorectal Cancer Based on Regional Lymph Nodes.
Yang J, Jin W, Lin Z, Li S
J Oncol. 2023; 2023:6980548.
PMID: 36880007
PMC: 9985509.
DOI: 10.1155/2023/6980548.