Comparison of three lymph node staging schemes for predicting the outcome in patients with small bowel adenocarcinoma: A population-based cohort and international multicentre cohort studyResearch in context
Yang-Yang Zhou,
Xiao-Jing Du,
Chi-Hao Zhang,
Thomas Aparicio,
Aziz Zaanan,
Pauline Afchain,
Li-Ping Chen,
Sun-Kuan Hu,
Pei-Chen Zhang,
Ming Wu,
Qing-Wei Zhang,
Hong Wang
Affiliations
Yang-Yang Zhou
Department of Rheumatology and Immunology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
Xiao-Jing Du
Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
Chi-Hao Zhang
Department of General Surgery, Shanghai Ninth People's Hospital, School of Medicine, Shanghai Jiao Tong University, Baoshan 201999, Shanghai, China
Thomas Aparicio
Gastroenterology department, Saint Louis Hospital, APHP, University Paris Diderot, Paris, France
Aziz Zaanan
Gastroenterology and Digestive Oncology department, Georges Pompidou Hospital, APHP, Paris, France
Pauline Afchain
Oncology department, Saint Antoine Hospital, APHP, Paris, France
Li-Ping Chen
Chemical Biology Research Center, College of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang 325000, China
Sun-Kuan Hu
Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
Pei-Chen Zhang
Department of Gastrointestinal Surgery, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
Ming Wu
Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China
Qing-Wei Zhang
Division of Gastroenterology and Hepatology, Key Laboratory of Gastroenterology and Hepatology, Ministry of Health, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Institute of Digestive Disease, 145 Middle Shandong Road, Shanghai 200001, China; Corresponding authors.
Hong Wang
Department of Rheumatology and Immunology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325000, Zhejiang Province, China; Corresponding authors.
Background: The prognostic roles of three common lymph node staging schemes, number of positive lymph nodes (pN), lymph node ratio (LNR) and log odds of positive lymph nodes (LODDS) in small bowel adenocarcinoma (SBA) are unclear. We assessed their prognostic ability in SBA. Methods: A total of 2128 patients diagnosed with SBA between 1988 and 2010 from the Surveillance, Epidemiology, and End Results (SEER) database and 186 patients from 15 hospitals in France and China were identified. We evaluated the prognostic ability of the schemes in both continuous and stratified patterns using R2, Harrell's C, and time-dependent receiver operating characteristic curve analyses. Findings: For continuous pattern, the LODDS had a better capacity of discrimination and higher accuracy of prognosis than pN and LNR. Similarly, the stratified LODDS classification had a better performance of discrimination and higher accuracy of prognosis than the pN and LNR classification. The multivariable model using the LODDS classification also showed superiorly predictive accuracy and discriminatory capacity to those of the 7th and, 8th TNM node and LNR classification. These results were fully validated in an independent international multicentre cohort. Interpretation: The LODDS scheme showed a better prognostic performance than the LNR or pN schemes in patients with SBA regardless of continuous or stratified pattern. The LODDS scheme could serve as an auxiliary to lymph node staging systems in future revisions of the American Joint Committee on Cancer (AJCC) manual. Fund: This work was funded by the Zhejiang Province Natural Science Fund of China. Keywords: Small bowel adenocarcinoma, Log odds of positive lymph nodes, Lymph node ratio, Number of positive lymph nodes, Prognosis, Multicentre cohort