A1 Refereed original research article in a scientific journal

ProstaMine: A bioinformatics tool for identifying subtypespecific co-alterations associated with aggressiveness in prostate cancer




AuthorsOrman Michael, Sreekanth Varsha, Laajala Teemu D., Cramer Scott D., Costello James C.

PublisherFrontiers Media

Publication year2024

JournalFrontiers in Pharmacology

Journal name in sourceFrontiers in pharmacology

Journal acronymFront Pharmacol

Article number1360352

Volume15

eISSN1663-9812

DOIhttps://doi.org/10.3389/fphar.2024.1360352

Web address https://doi.org/10.3389/fphar.2024.1360352

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/387378043


Abstract

Background: Prostate cancer is a leading cause of cancer-related deaths among men, marked by heterogeneous clinical and molecular characteristics. The complexity of the molecular landscape necessitates tools for identifying multi-gene co-alteration patterns that are associated with aggressive disease. The identification of such gene sets will allow for deeper characterization of the processes underlying prostate cancer progression and potentially lead to novel strategies for treatment.

Methods: We developed ProstaMine to systematically identify co-alterations associated with aggressiveness in prostate cancer molecular subtypes defined by high-fidelity alterations in primary prostate cancer. ProstaMine integrates genomic, transcriptomic, and clinical data from five primary and one metastatic prostate cancer cohorts to prioritize co-alterations enriched in metastatic disease and associated disease progression.

Results: Integrated analysis of primary tumors defined a set of 17 prostate cancer alterations associated with aggressive characteristics. We applied ProstaMine to NKX3-1-loss and RB1-loss tumors and identified subtype-specific co-alterations associated with metastasis and biochemical relapse in these molecular subtypes. In NKX3-1-loss prostate cancer, ProstaMine identified novel subtype-specific co-alterations known to regulate prostate cancer signaling pathways including MAPK, NF-kB, p53, PI3K, and Sonic Hedgehog. In RB-1-loss prostate cancer, ProstaMine identified novel subtype-specific co-alterations involved in p53, STAT6, and MHC Class I signaling. Co-alterations impacting autophagy were noted in both molecular subtypes.

Conclusion: ProstaMine is a method to systematically identify novel subtype-specific co-alterations associated with aggressive characteristics in prostate cancer. Results from ProstaMine provide insight into potential subtype-specific mechanisms of prostate cancer progression which can be formed into testable experimental hypotheses. ProstaMine is publicly available at: https://bioinformatics.cuanschutz.edu/prostamine.


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Last updated on 2024-26-11 at 21:55