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April 5, 2026Cancer Research0 citations

Abstract 4132: Landscape of allele-specific expression in prostate cancer reveals recurrent, stage-specific events in AR signaling and resistance pathways

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MTMargaret L.K. TsuiKHKevin HuHSHanbing Song

Key Points

  • The aim is to explore the effects of allele-specific expression in prostate cancer to identify driver genes and potential therapeutic targets.
  • Analyzed localized prostate cancer and metastatic castration-resistant PCa samples for allele-specific expression.
  • Developed the CASEDI computational framework to prioritize cancer drivers based on ASE and clinical data.
  • Identified recurrent ASE events and altered expression patterns in both localized and metastatic tumors.
  • Recurrent allele-specific expression events were discovered in prostate cancer, particularly affecting androgen receptor and oncogenic pathways.
  • Metastatic castration-resistant PCa samples exhibited higher monoallelic expression compared to localized tumors.
  • An mCRPC gene signature based on monoallelic expression was defined, indicating a subgroup of localized patients with worse prognosis.

Abstract

Abstract The effects of cis-regulatory alterations in prostate cancer (PCa) are insufficiently characterized, presenting an opportunity to discover driver genes and therapeutic targets. To comprehensively study these effects, we identify genes undergoing allele-specific expression (ASE) in localized PCa and metastatic castration-resistant PCa (mCRPC) samples. By defining recurrent ASE events across prostate tissue and tumor-enriched ASE, we develop CASEDI, a computational framework for prioritizing cancer drivers by integrating ASE and clinical data. CASEDI reveals genes showing recurrent ASE and altered expression in PCa, including AR-regulated and oncogenic ACSM1. mCRPC samples show enrichment of ASE in DNA repair, resistance pathways, and oncogenes and increased frequency of monoallelic expression (MAE) compared to localized tumors. We define an mCRPC gene signature based on MAE status that identifies a subgroup of localized patients with worse prognosis. Using ASE analysis, we expand the landscape of cis-regulatory events in PCa to inform the identification of additional therapeutic targets. Citation Format: Margaret Tsui, Kevin Hu, Hanbing Song, Sarah Hsu, Rebecca Chen, Lorraine Nuniz, Julia Pham, Chih-Hao Chang, Keliana Hui, David Quigley, Jingjing Li, Franklin Huang, . Landscape of allele-specific expression in prostate cancer reveals recurrent, stage-specific events in AR signaling and resistance pathways abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 4132.

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Cite This Study

Tsui et al. (2026) studied this question.

synapsesocial.com/papers/69d1fd29a79560c99a0a30cchttps://doi.org/10.1158/1538-7445.am2026-4132
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