Spatially resolved transcriptomics of high-grade serous ovarian carcinoma

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 cu...

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Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2022-03-01
Series:iScience
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Online Access:http://www.sciencedirect.com/science/article/pii/S2589004222001936
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author 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
author_facet 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
author_sort Elaine Stur
collection DOAJ
description 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.
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spelling doaj.art-f156c190fe864ebc90ceacaf75fa177d2022-12-21T17:09:40ZengElsevieriScience2589-00422022-03-01253103923Spatially resolved transcriptomics of high-grade serous ovarian carcinomaElaine Stur0Sara Corvigno1Mingchu Xu2Ken Chen3Yukun Tan4Sanghoon Lee5Jinsong Liu6Emily Ricco7Daniel Kraushaar8Patricia Castro9Jianhua Zhang10Anil K. Sood11Department of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77054, USADepartment of Gynecologic Oncology and Reproductive Medicine, The University of Texas MD Anderson Cancer Center, 1515 Holcombe Blvd, Houston, TX 77054, USADepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USADepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USADepartment of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USADepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USADepartment of Pathology, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USAGenomic and RNA Profiling Core, Baylor College of Medicine, Houston, TX 77030, USAGenomic and RNA Profiling Core, Baylor College of Medicine, Houston, TX 77030, USAPathology and Histology Core, Baylor College of Medicine, Houston, TX 77030, USADepartment of Genomic Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX 77054, USADepartment 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 authorSummary: 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.http://www.sciencedirect.com/science/article/pii/S2589004222001936OncologyPathologyOmics
spellingShingle 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
Spatially resolved transcriptomics of high-grade serous ovarian carcinoma
iScience
Oncology
Pathology
Omics
title Spatially resolved transcriptomics of high-grade serous ovarian carcinoma
title_full Spatially resolved transcriptomics of high-grade serous ovarian carcinoma
title_fullStr Spatially resolved transcriptomics of high-grade serous ovarian carcinoma
title_full_unstemmed Spatially resolved transcriptomics of high-grade serous ovarian carcinoma
title_short Spatially resolved transcriptomics of high-grade serous ovarian carcinoma
title_sort spatially resolved transcriptomics of high grade serous ovarian carcinoma
topic Oncology
Pathology
Omics
url http://www.sciencedirect.com/science/article/pii/S2589004222001936
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