Spatially resolved transcriptomics of high-grade serous ovarian carcinoma

Elaine Stur; Sara Corvigno; Mingchu Xu; Ken Chen; Yukun Tan; Sanghoon Lee; Jinsong Liu; Emily Ricco; Daniel Kraushaar; Patricia Castro; Jianhua Zhang; Anil K. Sood

iScience (Mar 2022)

Spatially resolved transcriptomics of high-grade serous ovarian carcinoma

Elaine Stur,
Sara Corvigno,
Mingchu Xu,
Ken Chen,
Yukun Tan,
Sanghoon Lee,
Jinsong Liu,
Emily Ricco,
Daniel Kraushaar,
Patricia Castro,
Jianhua Zhang,
Anil K. Sood

Affiliations

Elaine Stur: Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77054, USA
Sara Corvigno: Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77054, USA
Mingchu Xu: Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
Ken Chen: Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
Yukun Tan: Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
Sanghoon Lee: Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
Jinsong Liu: Department of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
Emily Ricco: Genomic and RNA Profiling Core, Baylor College of Medicine, Houston, TX 77030, USA
Daniel Kraushaar: Genomic and RNA Profiling Core, Baylor College of Medicine, Houston, TX 77030, USA
Patricia Castro: Pathology and Histology Core, Baylor College of Medicine, Houston, TX 77030, USA
Jianhua Zhang: Department of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USA
Anil K. Sood: Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77054, USA; Center for RNA Interference and Non-Coding RNA, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77054, USA; Corresponding author

Journal volume & issue: Vol. 25, no. 3
p. 103923

Abstract

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Summary: Bulk and single-cell RNA sequencing do not provide full characterization of tissue spatial diversity in cancer samples, and currently available in situ techniques (multiplex immunohistochemistry and imaging mass cytometry) allow for only limited analysis of a small number of targets. The current study represents the first comprehensive approach to spatial transcriptomics of high-grade serous ovarian carcinoma using intact tumor tissue. We selected a small cohort of patients with highly annotated high-grade serous ovarian carcinoma, categorized them by response to neoadjuvant chemotherapy (poor or excellent), and analyzed pre-treatment tumor tissue specimens. Our study uncovered extensive differences in tumor composition between the poor responders and excellent responders to chemotherapy, related to cell cluster organization and localization. This in-depth characterization of high-grade serous ovarian carcinoma tumor tissue from poor and excellent responders showed that spatial interactions between cell clusters may influence chemo-responsiveness more than cluster composition alone.

Published in iScience

ISSN: 2589-0042 (Online)
Publisher: Elsevier
Country of publisher: United States
LCC subjects: Science
Website: http://www.cell.com/iscience/home

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Abstract

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