Your browser doesn't support javascript.
loading
A Case Series Exploration of Multi-Regional Expression Heterogeneity in Triple-Negative Breast Cancer Patients.
Xu, Qi; Kaur, Jaspreet; Wylie, Dennis; Mittal, Karuna; Li, Hongxiao; Kolachina, Rishab; Aleskandarany, Mohammed; Toss, Michael S; Green, Andrew R; Yang, Jianchen; Yankeelov, Thomas E; Bhattarai, Shristi; Janssen, Emiel A M; Kong, Jun; Rakha, Emad A; Kowalski, Jeanne; Aneja, Ritu.
Affiliation
  • Xu Q; Department of Oncology, Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.
  • Kaur J; Department of Biology, Georgia State University, Atlanta, GA 30303, USA.
  • Wylie D; Center for Biomedical Research Support, The University of Texas at Austin, Austin, TX 78705, USA.
  • Mittal K; Department of Biology, Georgia State University, Atlanta, GA 30303, USA.
  • Li H; Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA.
  • Kolachina R; Department of Biology, Georgia State University, Atlanta, GA 30303, USA.
  • Aleskandarany M; University of Nottingham and Nottingham University Hospitals, Nottingham NG7 2UH, UK.
  • Toss MS; University of Nottingham and Nottingham University Hospitals, Nottingham NG7 2UH, UK.
  • Green AR; University of Nottingham and Nottingham University Hospitals, Nottingham NG7 2UH, UK.
  • Yang J; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78705, USA.
  • Yankeelov TE; Departments of Diagnostic Medicine, Biomedical Engineering, and Oncology, The University of Texas at Austin, Austin, TX 78705, USA.
  • Bhattarai S; Department of Oncology, Livestrong Cancer Institutes, The University of Texas at Austin, Austin, TX 78712, USA.
  • Janssen EAM; Oden Institute for Computational Engineering and Sciences, The University of Texas at Austin, Austin, TX 78705, USA.
  • Kong J; Departments of Diagnostic Medicine, Biomedical Engineering, and Oncology, The University of Texas at Austin, Austin, TX 78705, USA.
  • Rakha EA; Department of Biology, Georgia State University, Atlanta, GA 30303, USA.
  • Kowalski J; Department of Pathology, Stavanger University Hospital, 4011 Stavanger, Norway.
  • Aneja R; Department of Mathematics and Statistics, Georgia State University, Atlanta, GA 30303, USA.
Int J Mol Sci ; 23(21)2022 Nov 01.
Article in En | MEDLINE | ID: mdl-36362107
ABSTRACT
Extensive intratumoral heterogeneity (ITH) is believed to contribute to therapeutic failure and tumor recurrence, as treatment-resistant cell clones can survive and expand. However, little is known about ITH in triple-negative breast cancer (TNBC) because of the limited number of single-cell sequencing studies on TNBC. In this study, we explored ITH in TNBC by evaluating gene expression-derived and imaging-derived multi-region differences within the same tumor. We obtained tissue specimens from 10 TNBC patients and conducted RNA sequencing analysis of 2-4 regions per tumor. We developed a novel analysis framework to dissect and characterize different types of variability between-patients (inter-tumoral heterogeneity), between-patients across regions (inter-tumoral and region heterogeneity), and within-patient, between-regions (regional intratumoral heterogeneity). We performed a Bayesian changepoint analysis to assess and classify regional variability as low (convergent) versus high (divergent) within each patient feature (TNBC and PAM50 subtypes, immune, stroma, tumor counts and tumor infiltrating lymphocytes). Gene expression signatures were categorized into three types of variability between-patients (108 genes), between-patients across regions (183 genes), and within-patients, between-regions (778 genes). Based on the between-patient gene signature, we identified two distinct patient clusters that differed in menopausal status. Significant intratumoral divergence was observed for PAM50 classification, tumor cell counts, and tumor-infiltrating T cell abundance. Other features examined showed a representation of both divergent and convergent results. Lymph node stage was significantly associated with divergent tumors. Our results show extensive intertumoral heterogeneity and regional ITH in gene expression and image-derived features in TNBC. Our findings also raise concerns regarding gene expression based TNBC subtyping. Future studies are warranted to elucidate the role of regional heterogeneity in TNBC as a driver of treatment resistance.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triple Negative Breast Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Int J Mol Sci Year: 2022 Document type: Article Affiliation country: Estados Unidos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Triple Negative Breast Neoplasms Type of study: Prognostic_studies Limits: Humans Language: En Journal: Int J Mol Sci Year: 2022 Document type: Article Affiliation country: Estados Unidos