Characterization of Alternative Splicing in High-Risk Wilms’ Tumors

Yaron Trink, Achia Urbach, Benjamin Dekel, Peter Hohenstein, Jacob Goldberger, Tomer Kalisky*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The significant heterogeneity of Wilms’ tumors between different patients is thought to arise from genetic and epigenetic distortions that occur during various stages of fetal kidney development in a way that is poorly understood. To address this, we characterized the heterogeneity of alternative mRNA splicing in Wilms’ tumors using a publicly available RNAseq dataset of high-risk Wilms’ tumors and normal kidney samples. Through Pareto task inference and cell deconvolution, we found that the tumors and normal kidney samples are organized according to progressive stages of kidney development within a triangle-shaped region in latent space, whose vertices, or “archetypes”, resemble the cap mesenchyme, the nephrogenic stroma, and epithelial tubular structures of the fetal kidney. We identified a set of genes that are alternatively spliced between tumors located in different regions of latent space and found that many of these genes are associated with the epithelial-to-mesenchymal transition (EMT) and muscle development. Using motif enrichment analysis, we identified putative splicing regulators, some of which are associated with kidney development. Our findings provide new insights into the etiology of Wilms’ tumors and suggest that specific splicing mechanisms in early stages of development may contribute to tumor development in different patients.

Original languageEnglish
Article number4520
JournalInternational Journal of Molecular Sciences
Volume25
Issue number8
DOIs
StatePublished - Apr 2024
Externally publishedYes

Funding

FundersFunder number
Bar-Ilan University
Israel Cancer Research Fund19-101-PG
Israel Ministry of Science3-16220
Seventh Framework Programme618592
Israel Cancer Association20240114
Ministry of Health, State of Israel3-10146
Israel Science Foundation2017/13, 1634/13, 1902/12, 1814/20

    Keywords

    • Wilms’ tumors
    • alternative mRNA splicing
    • cell deconvolution
    • pareto task inference

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