Role of postoperative radiotherapy in pT3N0 rectal cancer: A risk‐stratification system based on population analyses. (4th February 2019)

• Record Type: Journal Article
• Authors: Huang, Yun‐xia; Lin, Yan‐zong; Li, Jin‐luan; Zhang, Xue‐qing; Tang, Li‐rui; Zhuang, Qing‐yang; Lin, Fei‐fei; Lin, Xi‐jin; Wu, Jun‐xin
• Is Part Of: Cancer medicine. Volume 8:Number 3(2019:Mar.)
• Page Start: 1024
• Page End: 1033
• Publication Date: 2019-02-04
• Subjects: adjuvant radiotherapy -- prognosis -- pT3N0 rectal cancer -- SEER; 616.994005
• DOI: 10.1002/cam4.1991
• Languages: English
• ISSNs: 2045-7634

Abstract

Abstract: The impact of adjuvant radiotherapy in pT3N0 rectal cancer is controversial. We aimed to determine the risk factors for cancer‐specific survival (CSS) among these patients and to develop a risk‐stratification system to identify which of these patients would benefit from adjuvant radiotherapy. In this review of the Surveillance, Epidemiology, and End Results database (2010‐2014), we analyzed the data of pT3N0 rectal cancer patients who had not undergone neoadjuvant radiotherapy. Prognostic factors were identified using the Cox proportional hazards model, and risk scores were derived according to the β regression coefficient. A total of 1021 patients were identified from the database search. The overall 5‐year CSS was 86.31%. Multivariate analysis showed that age ( P < 0.001), tumor differentiation ( P = 0.044), number of nodes resected ( P = 0.032), marital status ( P = 0.005), and radiotherapy ( P = 0.006) were independent prognostic factors for CSS. A risk‐stratification system composed of age, tumor differentiation, and number of nodes resected was generated. Low‐risk patients had better CSS than high‐risk patients (92.13% vs 72.55%, P < 0.001). The addition of radiotherapy to surgery doubled the CSS among the high‐risk patients (42.06% vs 91.26%, P = 0.001) but produced no survival benefit among the low‐risk patients (93.36% vs 96.38%, P = 0.182). Our risk‐stratification model based on age, tumor differentiation, and number of nodes resected predicted the outcomes of pT3N0 rectal cancer patients. This model could help identify patients who may benefit from adjuvant radiotherapy. Abstract : We define the risk factors for the cancer‐specific survival (CSS) of patients with pT3N0 rectal cancer and develop a risk‐stratification model that would be able to identify which of these patients might benefit from adjuvant radiotherapy.