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

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 <i>in-silico</i> mechanism-based model shows that these molecular differences, together with high YAP1 nuclear localization in soft-selected cells, are salient features of genetic clones capable of FAK upregulation. These findings uncover a coordinated genetic and epigenetic mechanism driving cancer cell evolution in mechanically soft microenvironments.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2025-12-19
DOI
https://doi.org/10.64898/2025.12.17.694784
Primary Topic
Hippo pathway signaling and YAP/TAZ
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Tanmay P. Lele, Ting‐Ching Wang, Sarthak Sahoo, Mohit Kumar Jolly et al.
bioRxiv (Cold Spring Harbor Laboratory)
Hippo pathway signaling and YAP/TAZ
article

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

Tanmay P. Lele, Ting‐Ching Wang, Sarthak Sahoo, Mohit Kumar Jolly, S. K. Khanna
article en

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 <i>in-silico</i> mechanism-based model shows that these molecular differences, together with high YAP1 nuclear localization in soft-selected cells, are salient features of genetic clones capable of FAK upregulation. These findings uncover a coordinated genetic and epigenetic mechanism driving cancer cell evolution in mechanically soft microenvironments.

bioRxiv (Cold Spring Harbor Laboratory)
Texas Medical Center (US), Mitchell Institute (US), Indian Institute of Science Bangalore (IN), Texas A&M University (US)
Cancer Prevention and Research Institute of Texas, National Institutes of Health
Openalex Percentile: Top 57%
Hippo pathway signaling and YAP/TAZ
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