Unknown

Dataset Information

A robust qualitative transcriptional signature for the correct pathological diagnosis of gastric cancer.


ABSTRACT:

Background

Currently, pathological examination of gastroscopy biopsy specimens is the gold standard for gastric cancer (GC) diagnosis. However, it has a false-negative rate of 10-20% due to inaccurate sampling locations and/or insufficient sampling amount. A signature should be developed to aid the early diagnosis of GC using biopsy specimens even when they are sampled from inaccurate locations.

Methods

We extracted a robust qualitative transcriptional signature, based on the within-sample relative expression orderings (REOs) of gene pairs, to discriminate both GC tissues and adjacent-normal tissues from non-GC gastritis, intestinal metaplasia and normal gastric tissues.

Results

A signature consisting of two gene pairs for GC diagnosis was identified and validated in

SUBMITTER: Yan H 

PROVIDER: S-EPMC6394047 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature