Transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinoma

Abstract Intra-tumor heterogeneity contributes to treatment failure and poor survival in urothelial bladder carcinoma (UBC). Analyzing transcriptome from a UBC cohort, we report that intra-tumor transcriptomic heterogeneity indicates co-existence of tumor cells in epithelial and mesenchymal-like tra...

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Main Authors: Antara Biswas, Sarthak Sahoo, Gregory M. Riedlinger, Saum Ghodoussipour, Mohit K. Jolly, Subhajyoti De
Format: Article
Language:English
Published: Nature Portfolio 2023-12-01
Series:Communications Biology
Online Access:https://doi.org/10.1038/s42003-023-05668-3
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author Antara Biswas
Sarthak Sahoo
Gregory M. Riedlinger
Saum Ghodoussipour
Mohit K. Jolly
Subhajyoti De
author_facet Antara Biswas
Sarthak Sahoo
Gregory M. Riedlinger
Saum Ghodoussipour
Mohit K. Jolly
Subhajyoti De
author_sort Antara Biswas
collection DOAJ
description Abstract Intra-tumor heterogeneity contributes to treatment failure and poor survival in urothelial bladder carcinoma (UBC). Analyzing transcriptome from a UBC cohort, we report that intra-tumor transcriptomic heterogeneity indicates co-existence of tumor cells in epithelial and mesenchymal-like transcriptional states and bi-directional transition between them occurs within and between tumor subclones. We model spontaneous and reversible transition between these partially heritable states in cell lines and characterize their population dynamics. SMAD3, KLF4 and PPARG emerge as key regulatory markers of the transcriptional dynamics. Nutrient limitation, as in the core of large tumors, and radiation treatment perturb the dynamics, initially selecting for a transiently resistant phenotype and then reconstituting heterogeneity and growth potential, driving adaptive evolution. Dominance of transcriptional states with low PPARG expression indicates an aggressive phenotype in UBC patients. We propose that phenotypic plasticity and dynamic, non-genetic intra-tumor heterogeneity modulate both the trajectory of disease progression and adaptive treatment response in UBC.
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spelling doaj.art-da760c2ba979429ea0c8f52471d43aa02023-12-24T12:26:32ZengNature PortfolioCommunications Biology2399-36422023-12-016111810.1038/s42003-023-05668-3Transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinomaAntara Biswas0Sarthak Sahoo1Gregory M. Riedlinger2Saum Ghodoussipour3Mohit K. Jolly4Subhajyoti De5Rutgers Cancer Institute of New Jersey, Rutgers the State University of New JerseyIndian Institute of ScienceRutgers Cancer Institute of New Jersey, Rutgers the State University of New JerseyRutgers Cancer Institute of New Jersey, Rutgers the State University of New JerseyIndian Institute of ScienceRutgers Cancer Institute of New Jersey, Rutgers the State University of New JerseyAbstract Intra-tumor heterogeneity contributes to treatment failure and poor survival in urothelial bladder carcinoma (UBC). Analyzing transcriptome from a UBC cohort, we report that intra-tumor transcriptomic heterogeneity indicates co-existence of tumor cells in epithelial and mesenchymal-like transcriptional states and bi-directional transition between them occurs within and between tumor subclones. We model spontaneous and reversible transition between these partially heritable states in cell lines and characterize their population dynamics. SMAD3, KLF4 and PPARG emerge as key regulatory markers of the transcriptional dynamics. Nutrient limitation, as in the core of large tumors, and radiation treatment perturb the dynamics, initially selecting for a transiently resistant phenotype and then reconstituting heterogeneity and growth potential, driving adaptive evolution. Dominance of transcriptional states with low PPARG expression indicates an aggressive phenotype in UBC patients. We propose that phenotypic plasticity and dynamic, non-genetic intra-tumor heterogeneity modulate both the trajectory of disease progression and adaptive treatment response in UBC.https://doi.org/10.1038/s42003-023-05668-3
spellingShingle Antara Biswas
Sarthak Sahoo
Gregory M. Riedlinger
Saum Ghodoussipour
Mohit K. Jolly
Subhajyoti De
Transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinoma
Communications Biology
title Transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinoma
title_full Transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinoma
title_fullStr Transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinoma
title_full_unstemmed Transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinoma
title_short Transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinoma
title_sort transcriptional state dynamics lead to heterogeneity and adaptive tumor evolution in urothelial bladder carcinoma
url https://doi.org/10.1038/s42003-023-05668-3
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