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Article

Genomic signatures individualize therapeutic decisions in non-small-cell lung cancer.

Expert review of molecular diagnostics - 1 Nov 2007

Anguiano Ariel, Potti Anil

Abstract excerpt

Gene expression signatures have been developed in an effort to dissect the biologic phenotypes of malignancies. These signatures have tremendous power to identify new cancer subtypes and to predict clinical outcomes based on patterns of gene expression. Expression profiles specific to a phenotype can be derived from in vitro data, as well as from patient cohorts with clinically relevant outcomes. In addition to...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 18020912
DOI: 10.1586/14737159.7.6.837

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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