Dataset Information

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 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.

SUBMITTER: Biswas A

PROVIDER: S-EPMC10739805 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Biswas Antara A Sahoo Sarthak S Riedlinger Gregory M GM Ghodoussipour Saum S Jolly Mohit K MK De Subhajyoti S

Communications biology 20231221 1

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 a ...[more]

PMID: 38129585

Similar Datasets

Project description:BackgroundDifferent genomic characterization in urothelial carcinoma (UC) by site of origin may imply contrasting therapeutic opportunities and pathogenetic mechanisms. The aim of this study was to investigate whether differences between upper tract UC (UTUC) and UC of the bladder (UCB) result from intrinsic biological diversity.Materials and methodsWe prospectively sequenced 118 tumors and matched blood DNA from Chinese patients with UC using next-generation sequencing techniques, including 45 UTUC and 73 UCB. Two hundred twenty-six patients with UTUC and 350 patients with UCB for The Cancer Genome Atlas were acquired from the cbioportal.ResultsThere were marked disparities in the mutational landscape for UC according to race and site of origin. Signature 22 for exposure to aristolochic acid was only observed in the UTUC cohort. Conversely, signature 6 for defective DNA mismatch repair only existed in the UCB cohort. Compared with UCB, UTUC had higher clonal and subclonal mutation numbers. TP53, PIK3CA, and FGFR3 mutations may be the driver genes for UTUC, whereas for UCB, the driver gene may be BRCA1. Patients with UTUC had lower PD-L1 than those with UCB. There was no significant difference in the number of DDR mutations, copy number variation counts, and tumor mutational burden between UTUC and UCB.ConclusionUTUC and UCB exhibit significant differences in the prevalence of genomic landscape and carcinogenesis. Consequently, molecular subtypes differ according to location, and these results may imply the site-specific management of patients with urothelial carcinoma. Mutational signature may be used as a screening tool to assist clinical differential diagnosis between UTUC and UCB.Implications for practiceThis study's findings lay the foundation for a deeper understanding of distinct molecular mechanisms and similar treatment opportunities between upper tract urothelial carcinoma (UTUC) and urothelial carcinoma of the bladder (UCB) and had important implications for the site-specific management of patients with urothelial carcinoma. A comprehensive understanding of the biology of UTUC and UCB is needed to identify new drug targets in order to improve clinical outcomes.

Dataset Information

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

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets