Predictors of Long-Time Survivors in Nonmetastatic Colorectal Signet Ring Cell Carcinoma: A Large Population-Based Study

Author:

Zhang Wuguang1ORCID,Gong Wenqian2,Wu Changhai3,Li Mengting4ORCID,Tu Xiaolong5

Affiliation:

1. Oncology Department of Integrated Traditional Chinese and Western Medicine, The Affiliated People’s Hospital of Ningbo University, Ningbo 315100, China

2. Traditional Chinese Medicine Department, The Affiliated People’s Hospital of Ningbo University, Ningbo 315100, China

3. Department of Acupuncture, Ningbo Medical Center Lihuili Hospital, Ningbo 315040, China

4. Department of Gastroenterology, The Affiliated People’s Hospital of Ningbo University, Ningbo 315100, China

5. Department of Oncology, Ningbo Hospital of Traditional Chinese Medicine, China

Abstract

Background. Colorectal signet ring cell carcinoma (SRCC) is a rare and distinct subtype of colorectal cancer (CRC), with extremely poor prognosis and aggressive tumor biological behavior. In this study, we aimed to analyze the clinicopathological characteristics and to identify the independent predictors of long-time survivors (LTSs) of nonmetastatic colorectal SRCC. Methods. Patients diagnosed with nonmetastatic colorectal SRCC were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We compared and analyzed the clinicopathological characteristics between LTSs (patients survived over 5 years) and non-LTSs (patients survived of or less than 5 years). Afterwards, multivariate logistic regression analysis was used to identify independent predictors of LTSs, which were further used to construct a nomogram model to predict the probability of being LTSs. Results. We enrolled 2050 patients with nonmetastatic colorectal SRCC, consisting of 1441 non-LTSs and 609 LTSs. Multivariate logistic regression analysis revealed that race, marital status, tumor infiltration, lymph node involvement, and primary tumor treatment were independent predictors of LTSs. In addition, these five parameters were incorporated into a nomogram model to predict the probability of being LTSs. In terms of the model performance, the calibration curve revealed good agreement between observed and predicted probability of LTSs, and receiving operator characteristic curve showed acceptable discriminative capacity in the training and validation cohorts. Conclusion. Collectively, we analyzed and profiled the clinicopathological characteristics of LTSs in patients with nonmetastatic colorectal SRCC. Race, marital status, T stage, N stage, and primary tumor treatment were independent predictors of LTSs.

Publisher

Hindawi Limited

Subject

Gastroenterology,Hepatology

Reference38 articles.

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