Evidence map›Paper›PMID 41932441›Full record

ArticleThe Journal of biological chemistry2026

Genome-wide profiling identifies the genetic dependencies of cell death following EGFR inhibition.

Sydney A Porto, Gavin A Birdsall, Nicholas W Harper, Megan E Honeywell, Scott M Leighow, Tiana E Naylor, Kelly M Ward, Mika K Wesley, Justin R Pritchard, Michael J Lee

Abstract read
In one paragraph

Article in The Journal of biological chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Sydney A PortoDepartment of Systems Biology, UMass Chan Medical School, Worcester, Massachusetts, USA.
Gavin A BirdsallDepartment of Systems Biology, UMass Chan Medical School, Worcester, Massachusetts, USA.
Nicholas W HarperDepartment of Systems Biology, UMass Chan Medical School, Worcester, Massachusetts, USA.
Megan E HoneywellDepartment of Systems Biology, UMass Chan Medical School, Worcester, Massachusetts, USA.
Scott M LeighowDepartment of Biomedical Engineering, and Huck Institute for The Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA.
Tiana E NaylorDepartment of Systems Biology, UMass Chan Medical School, Worcester, Massachusetts, USA.
Kelly M WardDepartment of Systems Biology, UMass Chan Medical School, Worcester, Massachusetts, USA.
Mika K WesleyDepartment of Systems Biology, UMass Chan Medical School, Worcester, Massachusetts, USA.
Justin R PritchardDepartment of Biomedical Engineering, and Huck Institute for The Life Sciences, The Pennsylvania State University, University Park, Pennsylvania, USA.
Michael J LeeDepartment of Systems Biology, UMass Chan Medical School, Worcester, Massachusetts, USA. Electronic address: michael.lee@umassmed.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

EGFR is a proto-oncogene that is mutationally activated in a variety of cancers. Small molecule inhibitors targeting EGFR can effectively slow the progression of disease, and in some settings, these drugs even cause dramatic tumor regression. However, responses to EGFR inhibitors are rarely durable, and the mechanisms contributing to response variation remain unclear. In particular, several distinct mechanisms have been proposed to explain how EGFR inhibition activates cell death, and a consensus has yet to emerge. In this study, we use functional genomics with specialized analyses to infer how genetic perturbations affect the drug-induced death rate. Our data clarify that inhibition of PI3K signaling drives the lethality of EGFR inhibition. Inhibition of other pathways downstream of EGFR, including the RAS-MAPK pathway, promotes growth suppression but not the lethal effects of EGFR inhibitors. Taken together, our study provides a "reference map" for the genome-wide genetic dependencies of lethality in response to EGFR inhibitors.

Indexed as

Antineoplastic AgentsErbB ReceptorsProtein Kinase InhibitorsCell DeathCell Line, TumorHumansProto-Oncogene MasSignal TransductionAntineoplastic AgentsEGFR protein, humanErbB ReceptorsMAS1 protein, humanProtein Kinase InhibitorsProto-Oncogene Mascancer therapycell deathdrug actionepidermal growth factor receptor (EGFR)functional genomicslung cancersystems biology

Identifiers

PMID41932441
PMCPMC13133947

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.