Li Y, Wang JX, Yibi RH. Prediction of lymph node metastasis in early esophageal cancer. World J Gastrointest Surg 2023; 15(10): 2294-2304 [PMID: 37969711 DOI: 10.4240/wjgs.v15.i10.2294]
Corresponding Author of This Article
Ran-Hen Yibi, MBBS, Doctor, Department of Gastroenterology, Lhasa Peolpe’s Hospital, No. 1 Beijing Zhong Road, Chengguan District, Lhasa 850000, Tibet Autonomous Region, China. 18143216011@163.com
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Systematic Reviews
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastrointest Surg. Oct 27, 2023; 15(10): 2294-2304 Published online Oct 27, 2023. doi: 10.4240/wjgs.v15.i10.2294
Prediction of lymph node metastasis in early esophageal cancer
Yan Li, Jun-Xiong Wang, Ran-Hen Yibi
Yan Li, Ran-Hen Yibi, Department of Gastroenterology, Lhasa People’s Hospital, Lhasa 850000, Tibet Autonomous Region, China
Jun-Xiong Wang, Department of Gastroenterology, Beijing Friendship Hospital, Capital Medical University, Beijing 100000, China
Jun-Xiong Wang, National Clinical Research Center for Digestive Diseases, Beijing Digestive Disease Center, Beijing Key Laboratory for Precancerous Lesion of Digestive Diseases, Beijing 100000, China
Author contributions: YiBi RH conceived this study; Li Y drafted the article; Wang JX provided critical revision of this article; All authors approved the final version.
Supported byNatural Science Foundation of Tibetan Autonomous Region, No. XZ202101ZR0015G; Medical Program of Group Aid to Tibet, Natural Science Foundation of Tibetan Autonomous Region, No. XZ2021ZR-ZY27(Z).
Conflict-of-interest statement: All the authors declare that they have no competing interests.
PRISMA 2009 Checklist statement: The authors have read the PRISMA 2009 Checklist, and the manuscript was prepared and revised according to the PRISMA 2009 Checklist.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Ran-Hen Yibi, MBBS, Doctor, Department of Gastroenterology, Lhasa Peolpe’s Hospital, No. 1 Beijing Zhong Road, Chengguan District, Lhasa 850000, Tibet Autonomous Region, China. 18143216011@163.com
Received: June 12, 2023 Peer-review started: June 12, 2023 First decision: August 10, 2023 Revised: August 17, 2023 Accepted: September 4, 2023 Article in press: September 4, 2023 Published online: October 27, 2023 Processing time: 136 Days and 20.2 Hours
Core Tip
Core Tip: In this study, we reviewed factors predicting lymph node metastasis in early esophageal squamous cell carcinoma (ESCC) and early esophageal adenocarcinoma (EAC). Imaging (size), serum microRNA-218, postoperative pathology and immunohistochemical analysis (depth, size, differentiation grade, lymphovascular invasion, neural invasion, PIM-1) were predictive for both ESCC and EAC. Serum markers (thymidine kinase 1; cytokeratin 19 fragment antigen 21-1; stathmin-1) and overexpression of cortactin, mixed-lineage leukaemia 2, and stanniocalcin-1 were predictive for ESCC. Transcription of CD69, myeloid differentiation protein 88 and toll-like receptor 4 and low expression of olfactomedin 4 were predictive for EAC. Six comprehensive models for ESCC were reviewed, and the areas under the curve reached 0.789-0.938.
