Prediction of mortality in metastatic colorectal cancer in a real-life population: a multicenter explorative analysis.

ABSTRACT:

Background

Metastatic colorectal cancer (mCRC) remains a lethal disease. Survival, however, is increasing due to a growing number of treatment options. Yet due to the number of prognostic factors and their interactions, prediction of mortality is difficult. The aim of this study is to provide a clinical model supporting prognostication of mCRC mortality in daily practice.

Methods

Data from 1104 patients with mCRC in three prospective cancer datasets were used to construct and validate Cox models. Input factors for stepwise backward method variable selection were sex, RAS/BRAF-status, microsatellite status, treatment type (no treatment, systemic treatment with or without resection of metastasis), tumor load, location of primary tumor, metastatic patterns and synchronous or me

SUBMITTER: Rumpold H 

PROVIDER: S-EPMC7691098 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature