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Dataset Information

A blood-based transcriptomic signature for noninvasive diagnosis of gastric cancer.


ABSTRACT:

Background

Delayed detection of tumours contributes to poor prognosis in patients with gastric cancer (GC). The invasive nature of endoscopy and the absence of an effective serum markers highlight the need to develop novel, noninvasive biomarkers.

Methods

We performed biomarker discovery and validation to identify candidate genes in three gene expression data sets. After validating the gene panel in clinical tissues, we translated the gene panel into serum samples by performing training and validation in 89 samples from GC patients and 54 from healthy donors in two independent cohorts.

Results

We identified a nine-gene panel in the discovery phase, with subsequent validation in tissue specimens. Using a serum training cohort, we developed a 5-gene risk prediction form

SUBMITTER: Lee IS 

PROVIDER: S-EPMC8437955 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature