Evidence map›Paper›PMID 42811363›Full record

ArticleGenome medicine2026

Uncovering pan-cancer signatures of chemoresistance.

Mohammed Inayatullah, Engin Demirdizen, Zachery Keepers, Catarina Mendes Correia, Seyyed Morteza Hashemi, Kaushlendra Tripathi, Souren Sadhukhan, Ishita Bardhan, Arun Mahesh, Feyruz V Rassool and 3 more

Abstract read
In one paragraph

Article in Genome medicine, 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

13 authors.

Mohammed InayatullahInstitute of Molecular Medicine, University of Southern Denmark, Campusvej 55, Odense M, DK-5230, Denmark.
Engin DemirdizenInstitute of Molecular Medicine, University of Southern Denmark, Campusvej 55, Odense M, DK-5230, Denmark.
Zachery KeepersDivision of Translational Radiation Sciences, Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Catarina Mendes CorreiaInstitute of Molecular Medicine, University of Southern Denmark, Campusvej 55, Odense M, DK-5230, Denmark.
Seyyed Morteza HashemiInstitute of Molecular Medicine, University of Southern Denmark, Campusvej 55, Odense M, DK-5230, Denmark.
Kaushlendra TripathiDivision of Translational Radiation Sciences, Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Souren SadhukhanInstitute of Molecular Medicine, University of Southern Denmark, Campusvej 55, Odense M, DK-5230, Denmark.
Ishita BardhanInstitute of Molecular Medicine, University of Southern Denmark, Campusvej 55, Odense M, DK-5230, Denmark.
Arun MaheshInstitute of Molecular Medicine, University of Southern Denmark, Campusvej 55, Odense M, DK-5230, Denmark.
Feyruz V RassoolDivision of Translational Radiation Sciences, Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Mikkel Green TerpInstitute of Molecular Medicine, University of Southern Denmark, Campusvej 55, Odense M, DK-5230, Denmark.
Hem D ShuklaDivision of Translational Radiation Sciences, Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, 21201, USA.
Vijay K TiwariInstitute of Molecular Medicine, University of Southern Denmark, Campusvej 55, Odense M, DK-5230, Denmark. tiwari@health.sdu.dk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChemotherapy resistance remains a formidable challenge in cancer treatment, driving high mortality rates worldwide. Despite significant advancements, it remains unclear whether conserved molecular programs underpin therapy resistance across cancer types.

methodsHere, we integrate single-cell RNA sequencing, spatial transcriptomics, regulatory network modeling, transcription factor binding data, and pharmacologic perturbation across multiple cancer types to define a conserved, proliferative chemoresistant tumor state.

resultsContrary to the prevailing notion that resistance arises from quiescent or EMT-like phenotypes, we find that resistant tumor cells display elevated G2/M and S-phase activity, enriched expression of E2F and MYC target genes, and activation of DNA repair and PI3K/AKT signaling pathways. We identify the transcription factor MYC as a central regulator of the resistant state, with progressive activation along the resistance trajectory and focal expression in resistant epithelial niches. A novel MYC target, SRM (Spermidine Synthase), emerges as a conserved effector of resistance, promoting polyamine biosynthesis critical for chromatin stability and metabolic resilience. SRM expression correlates with MYC binding and predicts poor patient survival. Functional validation in cell lines, patient-derived organoids and mouse models demonstrate that pharmacologic inhibition of MYC, SRM, or WNT signalling restores chemotherapy sensitivity, suppresses resistance-associated pathways, and reactivates apoptosis. Spatial and survival analyses confirm the clinical relevance of the MYC-SRM axis, establishing it as a druggable module in treatment-refractory cancers.

conclusionsTo our knowledge, this is the first comprehensive study that redefines chemoresistance as a proliferative, MYC-driven state and uncover SRM as a tractable vulnerability, offering new avenues for therapeutic intervention across diverse epithelial malignancies.

Indexed as

Drug Resistance, NeoplasmNeoplasmsAnimalsCell Line, TumorGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansProto-Oncogene Proteins c-mycSignal TransductionProto-Oncogene Proteins c-mycCancerChemoresistanceDrug discoveryGene expressionSingle-cell heterogeneity

Identifiers

PMID42811363
PMCPMC13625386

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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.