Literature DB >> 28735257

Prognostic factors of overall survival and cancer-specific survival in patients with resected early-stage rectal adenocarcinoma: a SEER-based study.

Ko-Chao Lee1, Kuan-Chih Chung2, Hong-Hwa Chen1, Chia-Cheng Liu3, Chien-Chang Lu1.   

Abstract

The benefits of radiotherapy for colorectal cancer are well documented, but the impact of adjuvant radiotherapy on early-stage rectal adenocarcinoma remains unclear. This study aimed to identify predictors of overall survival (OS) and cancer-specific survival (CSS) in patients with stage II rectal adenocarcinoma treated with preoperative or postoperative radiation therapy. Patients with early-stage rectal adenocarcinoma in the postoperative state were identified using the Surveillance, Epidemiology, and End Results database. The primary endpoints were OS and overall CSS. Stage IIA patients without radiotherapy had significantly lower OS and CSS compared with those who received radiation before or after surgery. Stage IIB patients with radiotherapy before surgery had significantly higher OS and CSS compared with patients in the postoperative or no radiotherapy groups. Patients with signet ring cell carcinoma had the poorest OS among all the groups. Multivariable analysis showed that ethnicity (HR, 0.388, p=0.006) and radiation before surgery (HR, 0.614, p=0.006) were favorable prognostic factors for OS, while age (HR, 1.064, p<0.001), race (HR, 1.599, p=0.041), stage IIB (HR, 3.011, p=0.011), and more than one tumor deposit (TD) (HR, 2.300, p=0.001) were unfavorable prognostic factors for OS. Old age (HR, 1.047, p<0.00 L), stage IIB (HR, 8.619, p=0.005), circumferential resection margin between 0.1 mm and 10 mm (HR, 1.529, p=0.039), and more than one TD (HR, 2.688, p=0.001) were unfavorable prognostic factors for CSS. This population-based study identified predictors of OS and CSS in patients with early-stage resected rectal adenocarcinoma, which may help to guide future management of this patient population. © American Federation for Medical Research (unless otherwise stated in the text of the article) 2017. All rights reserved. No commercial use is permitted unless otherwise expressly granted.

Entities:  

Keywords:  adenocarcinoma; prognostic factor; radiation; rectal cancer; survival

Mesh:

Year:  2017        PMID: 28735257     DOI: 10.1136/jim-2017-000496

Source DB:  PubMed          Journal:  J Investig Med        ISSN: 1081-5589            Impact factor:   2.895


  1 in total

1.  Assessing the effect of data integration on predictive ability of cancer survival models.

Authors:  Yi Guo; Jiang Bian; Francois Modave; Qian Li; Thomas J George; Mattia Prosperi; Elizabeth Shenkman
Journal:  Health Informatics J       Date:  2019-01-23       Impact factor: 2.681

  1 in total

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