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April 19, 2026Cancer Research0 citations

Abstract LB437: Extreme gene expression is widespread and functional in cancer

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JHJee Yun HanYPYash PatelDiscovery InstitutePBPaul BoutrosDiscovery Institute

Key Points

  • This research investigates the prevalence and functional role of extreme gene expression states in breast cancer.
  • Analyzed gene expression data using the OutSeekR algorithm in 7,019 breast tumours.
  • Identified extreme gene expression states (XEGs) and their association with molecular subtypes.
  • Examined relationships between XEGs and clinical outcomes, including patient survival.
  • Used CRISPR and RNA interference for functional validation in cancer cell lines.
  • Approximately 75% of breast tumours featured at least one extreme gene expression state.
  • Aggressive molecular subtypes showed higher numbers of XEGs, linked to poorer patient survival.
  • XEGs correlated with somatic mutations, copy number variations, and aberrant DNA methylation.
  • Genetic perturbation of XEG-associated genes decreased cancer cell fitness in corresponding cell lines.

Abstract

Abstract Cancer evolves under diverse selective pressures and is characterized by widespread dysregulation of gene expression. Transcriptomic studies have traditionally relied on differential expression analyses between predefined patient groups to identify genes associated with specific clinical or molecular phenotypes. However, cancers also exhibit rare, extreme gene expression states (XEGs) that appear as outliers relative to a population of cells or individuals. Using a novel outlier detection algorithm, OutSeekR, we performed a comprehensive analysis of extreme gene expression across 7, 019 breast tumours from multiple independent cohorts. XEGs were unexpectedly common, with approximately three quarters of tumours harbouring at least one XEG. The frequency of XEGs varied substantially by molecular subtype, with more aggressive subtypes exhibiting significantly higher numbers of XEGs per tumour compared to less aggressive subtypes. These differences were associated with patient survival within specific molecular subtypes. XEGs were observed across multiple layers of the central dogma. RNA XEGs were reflected at the protein level in matched mass spectrometry and reverse phase protein array data, and approximately half of XEGs were associated with underlying somatic mutations, copy number alterations, or aberrant promoter DNA methylation. XEGs identified in patient tumours were also recapitulated in cancer cell lines, enabling functional interrogation. Genetic perturbation of XEG-associated genes using CRISPR or RNA interference, as well as pharmacologic inhibition, selectively reduced cancer cell fitness in cell lines harbouring the corresponding XEG, but not in those without. Together, these results demonstrate that extreme gene expression is common in breast cancer, can confer a selective advantage to tumour cells, and may represent a previously underappreciated class of targetable vulnerabilities. Citation Format: Jee Yun Han, Yash Patel, Paul Boutros, Jaron Arbet, John Sahrmann, Julie Livingstone, Nick Wiltsie, Stefan Eng, Zhuyu Qiu, James Evans, Amaan Jogia-Sattar. Extreme gene expression is widespread and functional in cancer abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 2 (Late-Breaking, Clinical Trial, and Invited Abstracts) ; 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86 (8Suppl): Abstract nr LB437.

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Cite This Study

Han et al. (2026) studied this question.

synapsesocial.com/papers/69e4739a010ef96374d8f65fhttps://doi.org/10.1158/1538-7445.am2026-lb437
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