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Article

Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer.

Nature communications - 29 Mar 2022

Gogleva Anna, Polychronopoulos Dimitris, Pfeifer Matthias, Poroshin Vladimir, Ughetto Michaël, Martin Matthew J, Thorpe Hannah, Bornot Aurelie, Smith Paul D, Sidders Ben, Dry Jonathan R, Ahdesmäki Miika, McDermott Ultan, Papa Eliseo, Bulusu Krishna C

Abstract excerpt

Resistance to EGFR inhibitors (EGFRi) presents a major obstacle in treating non-small cell lung cancer (NSCLC). One of the most exciting new ways to find potential resistance markers involves running functional genetic screens, such as CRISPR, followed by manual triage of significantly enriched genes. This triage process to identify 'high value' hits resulting from the CRISPR screen involves manual curation that...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 35351890
DOI: 10.1038/s41467-022-29292-7
PMCID: PMC8964738

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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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