Multi-omic Dissection of Oncogenically Active Epiproteomes Identifies Drivers of Proliferative and Invasive Breast Tumors

John A. Wrobel, Ling Xie, Li Wang, Cui Liu, Naim Rashid, Kristalyn K. Gallagher, Yan Xiong, Kyle D. Konze, Jian Jin, Michael L. Gatza, Xian Chen

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Proliferative and invasive breast tumors evolve heterogeneously in individual patients, posing significant challenges in identifying new druggable targets for precision, effective therapy. Here we present a functional multi-omics method, interaction-Correlated Multi-omic Aberration Patterning (iC-MAP), which dissects intra-tumor heterogeneity and identifies in situ the oncogenic consequences of multi-omics aberrations that drive proliferative and invasive tumors. First, we perform chromatin activity-based chemoproteomics (ChaC) experiments on breast cancer (BC) patient tissues to identify genetic/transcriptomic alterations that manifest as oncogenically active proteins. ChaC employs a biotinylated small molecule probe that specifically binds to the oncogenically active histone methyltransferase G9a, enabling sorting/enrichment of a G9a-interacting protein complex that represents the predominant BC subtype in a tissue. Second, using patient transcriptomic/genomic data, we retrospectively identified some G9a interactor-encoding genes that showed individualized iC-MAP. Our iC-MAP findings represent both new diagnostic/prognostic markers to identify patient subsets with incurable metastatic disease and targets to create individualized therapeutic strategies.

Original languageEnglish
Pages (from-to)359-378
Number of pages20
JournaliScience
Volume17
DOIs
StatePublished - 26 Jul 2019

Keywords

  • Biological Sciences
  • Cancer
  • Cancer Systems Biology

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