Evidence map›Paper›PMID 40291701›Full record

ArticlebioRxiv : the preprint server for biology2025

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, Michael J Lee

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 authors.

Sydney A PortoDepartment of Systems Biology, UMass Chan Medical School, Worcester, MA USA.
Gavin A BirdsallDepartment of Systems Biology, UMass Chan Medical School, Worcester, MA USA.
Nicholas W HarperDepartment of Systems Biology, UMass Chan Medical School, Worcester, MA USA.
Megan E HoneywellDepartment of Systems Biology, UMass Chan Medical School, Worcester, MA USA.
Michael J LeeDepartment of Systems Biology, UMass Chan Medical School, Worcester, MA USA.ORCID 0000-0003-3378-6196

Funding

Personalization and Failure Testing of Dual Switch Gene Drives in Lung CancerU01CA265709 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI PRITCHARD, JUSTIN · 2021 to 2025
$2.6M
NCI NIH HHS U01 CA265709
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 be effective in slowing 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 for 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 effect 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, promote growth suppression, but not the lethal effects of EGFR inhibitors. Taken together, our study reveals the first "reference map" for the genome-wide genetic dependencies of lethality for EGFR inhibitors.

Indexed as

cancer therapycell deathdrug actionepidermal growth factor receptor (EGFR)functional genomicslung cancersystems biology

Identifiers

PMID40291701
PMCPMC12026739

What OpenQuestion holds

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Registered trials

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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.