Surgical strategy for colorectal cancer with synchronous liver and extrahepatic metastases - A scoring system and decision tree model

Author:

Tseng Chan-Wei1,Teng Hao-Wei1,Lin Chun-Chi2,Lei Hao-Jan1,Hung Jung-Jyh2,Hsia Cheng-Yuan1,Chou Shu-Cheng1,Yang Shung-Haur2,Lin Jen-Kou2,Jiang Jeng-Kai2,Chang Shih-Ching1,Chau Gar-Yang1

Affiliation:

1. Taipei Veterans General Hospital

2. National Yang Ming Chiao Tung University

Abstract

Abstract Purpose: The role of hepatectomy in a specific group of patients with synchronous colorectal cancer with liver metastases (SCRLM) and synchronous extrahepatic disease (SEHD) is still unclear. The aim of this study was to evaluate the efficacy of liver surgery and define the selection criteria for surgical candidates in patients with SCRLM+SEHD. Methods: Between July 2007 and October 2018, 475 patients with colorectal cancer with liver metastases (CRLM) who underwent liver resection were retrospectively reviewed. Sixty-five patients with SCRLM+SEHD were identified and included in the study. Clinical pathological data of these patients were analyzed to evaluate the influence on survival. Important prognostic factors were identified by univariate and multivariate analyses. The risk score system and decision tree analysis were generated according to the important prognostic factors for better patient selection. Results: The 5-year survival rate of patients with SCRLM+SEHD was 21.9%. The most important prognostic factors were SCRLM number > 5, site of SEHD other than the lung only, inability to achieve SCRLM+SEHD R0 resection, and BRAFmutation of cancer cells. The proposed risk score system and decision tree model easily discriminated between patients with different survivalrates and identified the profile of suitable surgical patients. Conclusions: Liver surgery should not be a contraindication to patients with SCRLM+SEHD. Patients with complete SCRLM+SEHD R0 resection, SCRLM number ≤ 5, SEHD confined to the lung only, and wild-type BRAF could have favorable survival outcomes. The proposed scoring system and decision tree model may be beneficial to patient selection in clinical use.

Publisher

Research Square Platform LLC

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