A comparative study of survival models for breast cancer prognostication revisited: the benefits of multi-gene models.

ABSTRACT:

Background

The development of clinical -omic biomarkers for predicting patient prognosis has mostly focused on multi-gene models. However, several studies have described significant weaknesses of multi-gene biomarkers. Indeed, some high-profile reports have even indicated that multi-gene biomarkers fail to consistently outperform simple single-gene ones. Given the continual improvements in -omics technologies and the availability of larger, better-powered datasets, we revisited this "single-gene hypothesis" using new techniques and datasets.

Results

By deeply sampling the population of available gene sets, we compare the intrinsic properties of single-gene biomarkers to multi-gene biomarkers in twelve different partitions of a large breast cancer meta-dataset. We show that s

SUBMITTER: Grzadkowski MR 

PROVIDER: S-EPMC6215649 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature