Literature DB >> 30077598

Prognostic Value of the Microsatellite Instability Status in Patients With Stage II/III Rectal Cancer Following Upfront Surgery.

Chung Ryul Oh1, Jeong Eun Kim2, Jihoon Kang2, Sun Young Kim2, Kyu-Pyo Kim2, Yong Sang Hong2, Seok-Byung Lim3, Chang Sik Yu3, Jin Cheon Kim3, Jihun Kim4, Se Jin Jang4, Tae Won Kim5.   

Abstract

BACKGROUND: We investigated whether the microsatellite instability (MSI) status affects the survival outcomes in patients with stage II/III rectal cancer who have undergone an upfront curative resection. PATIENTS AND METHODS: A total of 1103 patients with curatively resected stage II/III rectal cancer who had available polymerase chain reaction-based MSI results were included in the final analysis.
RESULTS: Twenty-four (2.2%) patients in the total cohort were found to be MSI-high (MSI-H). In univariate analysis, neither disease-free survival (DFS) nor overall survival (OS) demonstrated significant differences between patients with MSI-H tumors and those with MSI-low (MSI-L) or microsatellite stable (MSS) tumors. The 5-year DFS rate was 78.0% in MSI-H patients and 69.9% in MSI-L/MSS patients (hazard ratio [HR], 0.84; 95% confidence interval [CI], 0.35-2.02; P = .689). The 5-year OS rates for MSI-H and MSI-L/MSS patients were 84.0% and 83.1%, respectively (HR, 0.86; 95% CI, 0.27-2.69; P = .790). By multivariate analysis, the MSI status did not affect either the DFS (HR, 1.00; 95% CI, 0.40-2.47; P = .994) or OS (HR, 0.85; 95% CI, 0.26-2.73; P = .778).
CONCLUSIONS: MSI-H tumors are rarely observed in rectal adenocarcinoma, and the MSI status may not affect the survival outcome in patients with a resected rectal cancer.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Microsatellite instability; Prognosis; Rectal cancer; Survival; Upfront surgery

Mesh:

Year:  2018        PMID: 30077598     DOI: 10.1016/j.clcc.2018.07.003

Source DB:  PubMed          Journal:  Clin Colorectal Cancer        ISSN: 1533-0028            Impact factor:   4.481


  9 in total

1.  Association of mismatch repair status with survival and response to neoadjuvant chemo(radio)therapy in rectal cancer.

Authors:  Shu-Biao Ye; Yi-Kan Cheng; Lin Zhang; Yi-Feng Zou; Ping Chen; Yan-Hong Deng; Yan Huang; Jian-Hong Peng; Xiao-Jian Wu; Ping Lan
Journal:  NPJ Precis Oncol       Date:  2020-09-07

2.  The prognostic and predictive value of mismatch repair status in patients with locally advanced rectal cancer following neoadjuvant therapy.

Authors:  Zehua Wu; Huabin Hu; Chao Wang; Jianwei Zhang; Yue Cai; Xiaoyu Xie; Yan Huang; Yanhong Deng
Journal:  Ann Transl Med       Date:  2022-04

Review 3.  Microsatellite instability and chemosensitivity in solid tumours.

Authors:  Sara Cherri; Ester Oneda; Silvia Noventa; Laura Melocchi; Alberto Zaniboni
Journal:  Ther Adv Med Oncol       Date:  2022-05-21       Impact factor: 5.485

Review 4.  Immunity, immunotherapy, and rectal cancer: A clinical and translational science review.

Authors:  Ebunoluwa E Otegbeye; Jonathan B Mitchem; Haeseong Park; Aadel A Chaudhuri; Hyun Kim; Matthew G Mutch; Matthew A Ciorba
Journal:  Transl Res       Date:  2020-12-08       Impact factor: 7.012

5.  Development and validation of MRI-based deep learning models for prediction of microsatellite instability in rectal cancer.

Authors:  Wei Zhang; Hongkun Yin; Zixing Huang; Jian Zhao; Haoyu Zheng; Du He; Mou Li; Weixiong Tan; Song Tian; Bin Song
Journal:  Cancer Med       Date:  2021-05-08       Impact factor: 4.452

6.  Development and validation of magnetic resonance imaging-based radiomics models for preoperative prediction of microsatellite instability in rectal cancer.

Authors:  Wei Zhang; Zixing Huang; Jian Zhao; Du He; Mou Li; Hongkun Yin; Song Tian; Huiling Zhang; Bin Song
Journal:  Ann Transl Med       Date:  2021-01

7.  Construction and characterization of rectal cancer-related lncRNA-mRNA ceRNA network reveals prognostic biomarkers in rectal cancer.

Authors:  Guoying Cai; Meifei Sun; Xinrong Li; Junquan Zhu
Journal:  IET Syst Biol       Date:  2021-10-06       Impact factor: 1.615

8.  A Tumoral and Peritumoral CT-Based Radiomics and Machine Learning Approach to Predict the Microsatellite Instability of Rectal Carcinoma.

Authors:  Hang Yuan; Yu Peng; Xiren Xu; Shiliang Tu; Yuguo Wei; Yanqing Ma
Journal:  Cancer Manag Res       Date:  2022-08-09       Impact factor: 3.602

9.  Microsatellite instability in rectal cancer: what does it mean? A study of two randomized trials and a systematic review of the literature.

Authors:  Marloes Swets; Cristina Graham Martinez; Shannon van Vliet; Arjan van Tilburg; Hans Gelderblom; Corrie A M Marijnen; Cornelis J H van de Velde; Iris D Nagtegaal
Journal:  Histopathology       Date:  2022-07-14       Impact factor: 7.778

  9 in total

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