An Expression Signature as an Aid to the Histologic Classification of Non-Small Cell Lung Cancer.

ABSTRACT:

Purpose

Most non-small cell lung cancers (NSCLC) are now diagnosed from small specimens, and classification using standard pathology methods can be difficult. This is of clinical relevance as many therapy regimens and clinical trials are histology dependent. The purpose of this study was to develop an mRNA expression signature as an adjunct test for routine histopathologic classification of NSCLCs.

Experimental design

A microarray dataset of resected adenocarcinomas (ADC) and squamous cell carcinomas (SCC) was used as the learning set for an ADC-SCC signature. The Cancer Genome Atlas (TCGA) lung RNAseq dataset was used for validation. Another microarray dataset of ADCs and matched nonmalignant lung was used as the learning set for a tumor versus nonmalignant signature. The c

SUBMITTER: Girard L 

PROVIDER: S-EPMC5492382 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature