Kou FR, Zhang YZ, Xu WR. Prognostic nomograms for predicting overall survival and cause-specific survival of signet ring cell carcinoma in colorectal cancer patients. World J Clin Cases 2021; 9(11): 2503-2518 [PMID: 33889615 DOI: 10.12998/wjcc.v9.i11.2503]
Corresponding Author of This Article
Wei-Ran Xu, MD, Doctor, Department of Oncology, Peking University International Hospital, Life Science Park of Zhongguancun, Changping District, Beijing 102206, China. xiaoyao444444@126.com
Research Domain of This Article
Oncology
Article-Type of This Article
Scientometrics
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 Clin Cases. Apr 16, 2021; 9(11): 2503-2518 Published online Apr 16, 2021. doi: 10.12998/wjcc.v9.i11.2503
Prognostic nomograms for predicting overall survival and cause-specific survival of signet ring cell carcinoma in colorectal cancer patients
Fu-Rong Kou, Yang-Zi Zhang, Wei-Ran Xu
Fu-Rong Kou, Department of Day Oncology Unit, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing 100142, China
Yang-Zi Zhang, Department of Radiation Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute, Beijing 100142, China
Wei-Ran Xu, Department of Oncology, Peking University International Hospital, Beijing 102206, China
Author contributions: Kou FR contributed to research design, data collection, interpretation, and analysis, and manuscript drafting; Zhang YZ contributed to data collection, interpretation, and analysis; Xu WR contributed to study design, data analysis, result interpretation, and critical revision of the manuscript; all authors approved the final version and agree to be accountable for all aspects of the work.
Conflict-of-interest statement: The authors declare that they have no conflicts of interest to disclose.
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: http://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Wei-Ran Xu, MD, Doctor, Department of Oncology, Peking University International Hospital, Life Science Park of Zhongguancun, Changping District, Beijing 102206, China. xiaoyao444444@126.com
Received: December 7, 2020 Peer-review started: December 7, 2020 First decision: January 25, 2021 Revised: January 28, 2021 Accepted: February 11, 2021 Article in press: February 11, 2021 Published online: April 16, 2021
ARTICLE HIGHLIGHTS
Research background
Signet ring cell carcinoma (SRCC) is an uncommon subtype of colorectal cancer (CRC) with short survival time. Several factors influence its prognosis. Until now, there has been no nomogram to predict the outcome of CRC patients with SRCC.
Research motivation
To explore the prognostic factors and build effective nomograms for predicting overall survival (OS) and cause-specific survival (CSS) of CRC patients with SRCC.
Research objectives
To build effective nomograms based on significant prognostic factors for predicting OS and CSS of CRC patients with SRCC.
Research methods
Data was extracted from the Surveillance, Epidemiology, and End Results database between 2004 and 2015. Multivariate Cox regression analyses were used to identify independent factors. Nomograms were built and validated to predict OS and CSS. Patients were divided into high-risk, moderate-risk, and low-risk groups using the novel nomograms.
Research results
In total, 1230 patients were included. Nomograms for OS and CSS were built with the concordance index of 0.737 and 0.758, respectively. The calibration curves and receiver operating characteristic curves demonstrated good predictive accuracy. The novel nomograms stratified patients into high-risk, moderate-risk, and low-risk groups with 5-year probability survival of 6.8%, 37.7%, and 67.0% for OS (P < 0.001), as well as 9.6%, 38.5%, and 67.6% for CSS (P < 0.001), respectively.
Research conclusions
Convenient and visual nomograms were constructed and validated to predict the OS and CSS rates for CRC patients with SRCC for the first time, which are superior to the conventional tumor-node-metastasis staging system.
Research perspectives
These novel nomograms could be used for accurately predicting survival rates of CRC patients with SRCC, as well as stratifying patients into different risk groups.
