Evidence map›Paper›PMID 41446202›Full record

ArticlebioRxiv : the preprint server for biology2025

Multi-omics investigation reveals molecular determinants of cancer cell evolution on soft extracellular matrix.

Sarthak Sahoo, Sejal Khanna, Ting-Ching Wang, Tanmay P Lele, Mohit Kumar Jolly

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

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

5 authors.

Sarthak SahooDepartment of Bioengineering, Indian Institute of Science, Bengaluru, Karnataka, India - 560012.
Sejal KhannaDepartment of Bioengineering, Indian Institute of Science, Bengaluru, Karnataka, India - 560012.
Ting-Ching WangArtie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843.
Tanmay P LeleArtie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX 77843.ORCID 0000-0001-8574-1251
Mohit Kumar JollyDepartment of Bioengineering, Indian Institute of Science, Bengaluru, Karnataka, India - 560012.ORCID 0000-0002-6631-2109

Funding

Nuclear Dysfunction in Cancer: The Role of Mechanical Stresses Transmittedby the LINC ComplexU01CA225566 · NCI · UNIVERSITY OF FLORIDA · PI LELE, TANMAY P. · 2020 to 2024
$3.1M
NCI NIH HHS U01 CA225566
6 · The paper itself

Abstract

Cancer cell adaptation to their physical tumor microenvironment is a key driver of malignancy. Recent experimental evolution experiments show that the soft extracellular matrix (ECM) can impose a selection pressure on genetically variable tumor populations. Over months of sustained culture, the selection pressure leads to enrichment of specific genetic variants with high fitness, but the mechanisms underlying the high fitness of these soft-selected clones are not fully understood. Here, we used a combination of RNA-seq, ATAC-seq, and RRBS-seq to compare soft-selected populations with non-selected ancestral populations cultured on soft ECM. We demonstrate that ancestral populations grown on soft ECM for short durations are characterized by a stressed cell state with low fitness marked by cell cycle arrest and distinct metabolic shifts, whereas sustained culture selects for a robust proliferative phenotype. Mechanistically, selected cells exhibit a silenced ancestral stress response through epigenetic modifications, characterized by reduced chromatin accessibility and de novo DNA methylation, including CDH1 promoter hypermethylation. This repressive landscape supports a high-fitness state defined by elevated MYBL2 and FAK levels. An

Indexed as

ECM stiffnessEpigeneticsEvolutionFitnessSelectionSoft ECMYAP/TAZ signaling

Identifiers

PMID41446202
PMCPMC12724415

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.