Evidence map›Paper›PMID 41492468›Full record

ArticleiScience2026

Multi-omic integration identifies broad drug resistance mechanisms and strategies to therapeutically reprogram cancer cells.

Ian Mersich, Brian S J Blagg, Aktar Ali

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ian MersichDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, USA.
Brian S J BlaggDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, USA.
Aktar AliDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, IN 46556, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Broad drug resistance arises from diverse transcriptional, metabolic, and genetic adaptations, yet the unifying features that sustain cross-resistant phenotypes remain unclear. We developed an integrative framework combining PRISM drug-response data with transcriptomic, metabolomic, and mutational profiles to define the molecular programs associated with broad resistance and to nominate compounds capable of reversing them. Resistant cell lines exhibited coordinated activation of extracellular matrix remodeling, stress-adaptation pathways, and survival signaling, with NFE2L2 emerging as a central regulatory hub linking upstream mutations to oxidative-stress transcriptional programs. Multi-omic analyses revealed metabolic reprogramming as a conserved feature of resistance, and patient cohort analyses showed that resistance-associated alterations correlated with shorter progression-free survival. Computational perturbagen screening identified compounds predicted to counteract these transcriptional signatures, converging on regulators of NFE2L2 activity. Experimental testing confirmed that rosiglitazone reduced NFE2L2-associated gene expression and re-sensitized resistant cells to chemotherapy, demonstrating a scalable strategy for rational phenotypic reprogramming.

Indexed as

Health sciences

Identifiers

PMID41492468
PMCPMC12765193

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.