Matching methods in precision oncology: An introduction and illustrative example.

ABSTRACT:

Background

Randomized controlled trials (RCTs) are uncommon in precision oncology. We provide an introduction and illustrative example of matching methods for evaluating precision oncology in the absence of RCTs. We focus on British Columbia's Personalized OncoGenomics (POG) program, which applies whole-genome and transcriptome analysis (WGTA) to inform advanced cancer care.

Methods

Our cohort comprises 230 POG patients enrolled between 2014 and 2015 and matched POG-naive controls. We generated our matched cohort using 1:1 propensity score matching (PSM) and genetic matching prior to exploring survival differences.

Results

We find that genetic matching outperformed PSM when balancing covariates. In all cohorts, overall survival did not significantly differ across POG

SUBMITTER: Weymann D 

PROVIDER: S-EPMC7963415 | biostudies-literature | 2021 Jan

REPOSITORIES: biostudies-literature