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Histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging
OBJECTIVE: We have established 4 histopathologic subtyping of high-grade serous ovarian cancer (HGSOC) and reported that the mesenchymal transition (MT) type has a worse prognosis than the other subtypes. In this study, we modified the histopathologic subtyping algorithm to achieve high interobserve...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology; Japan Society of Gynecologic Oncology
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323300/ https://www.ncbi.nlm.nih.gov/pubmed/36807749 http://dx.doi.org/10.3802/jgo.2023.34.e47 |
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author | Miyagawa, Chiho Nakai, Hidekatsu Otani, Tomoyuki Murakami, Ryusuke Takamura, Shiki Takaya, Hisamitsu Murakami, Kosuke Mandai, Masaki Matsumura, Noriomi |
author_facet | Miyagawa, Chiho Nakai, Hidekatsu Otani, Tomoyuki Murakami, Ryusuke Takamura, Shiki Takaya, Hisamitsu Murakami, Kosuke Mandai, Masaki Matsumura, Noriomi |
author_sort | Miyagawa, Chiho |
collection | PubMed |
description | OBJECTIVE: We have established 4 histopathologic subtyping of high-grade serous ovarian cancer (HGSOC) and reported that the mesenchymal transition (MT) type has a worse prognosis than the other subtypes. In this study, we modified the histopathologic subtyping algorithm to achieve high interobserver agreement in whole slide imaging (WSI) and to characterize the tumor biology of MT type for treatment individualization. METHODS: Four observers performed histopathological subtyping using WSI of HGSOC in The Cancer Genome Atlas data. As a validation set, cases from Kindai and Kyoto Universities were independently evaluated by the 4 observers to determine concordance rates. In addition, genes highly expressed in MT type were examined by gene ontology term analysis. Immunohistochemistry was also performed to validate the pathway analysis. RESULTS: After algorithm modification, the kappa coefficient, which indicates interobserver agreement, was greater than 0.5 (moderate agreement) for the 4 classifications and greater than 0.7 (substantial agreement) for the 2 classifications (MT vs. non-MT). Gene expression analysis showed that gene ontology terms related to angiogenesis and immune response were enriched in the genes highly expressed in the MT type. CD31 positive microvessel density was higher in the MT type compared to the non-MT type, and tumor groups with high infiltration of CD8/CD103 positive immune cells were observed in the MT type. CONCLUSION: We developed an algorithm for reproducible histopathologic subtyping classification of HGSOC using WSI. The results of this study may be useful for treatment individualization of HGSOC, including angiogenesis inhibitors and immunotherapy. |
format | Online Article Text |
id | pubmed-10323300 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology; Japan Society of Gynecologic Oncology |
record_format | MEDLINE/PubMed |
spelling | pubmed-103233002023-07-07 Histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging Miyagawa, Chiho Nakai, Hidekatsu Otani, Tomoyuki Murakami, Ryusuke Takamura, Shiki Takaya, Hisamitsu Murakami, Kosuke Mandai, Masaki Matsumura, Noriomi J Gynecol Oncol Original Article OBJECTIVE: We have established 4 histopathologic subtyping of high-grade serous ovarian cancer (HGSOC) and reported that the mesenchymal transition (MT) type has a worse prognosis than the other subtypes. In this study, we modified the histopathologic subtyping algorithm to achieve high interobserver agreement in whole slide imaging (WSI) and to characterize the tumor biology of MT type for treatment individualization. METHODS: Four observers performed histopathological subtyping using WSI of HGSOC in The Cancer Genome Atlas data. As a validation set, cases from Kindai and Kyoto Universities were independently evaluated by the 4 observers to determine concordance rates. In addition, genes highly expressed in MT type were examined by gene ontology term analysis. Immunohistochemistry was also performed to validate the pathway analysis. RESULTS: After algorithm modification, the kappa coefficient, which indicates interobserver agreement, was greater than 0.5 (moderate agreement) for the 4 classifications and greater than 0.7 (substantial agreement) for the 2 classifications (MT vs. non-MT). Gene expression analysis showed that gene ontology terms related to angiogenesis and immune response were enriched in the genes highly expressed in the MT type. CD31 positive microvessel density was higher in the MT type compared to the non-MT type, and tumor groups with high infiltration of CD8/CD103 positive immune cells were observed in the MT type. CONCLUSION: We developed an algorithm for reproducible histopathologic subtyping classification of HGSOC using WSI. The results of this study may be useful for treatment individualization of HGSOC, including angiogenesis inhibitors and immunotherapy. Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology; Japan Society of Gynecologic Oncology 2023-02-10 /pmc/articles/PMC10323300/ /pubmed/36807749 http://dx.doi.org/10.3802/jgo.2023.34.e47 Text en © 2023. Asian Society of Gynecologic Oncology, Korean Society of Gynecologic Oncology, and Japan Society of Gynecologic Oncology https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (https://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Miyagawa, Chiho Nakai, Hidekatsu Otani, Tomoyuki Murakami, Ryusuke Takamura, Shiki Takaya, Hisamitsu Murakami, Kosuke Mandai, Masaki Matsumura, Noriomi Histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging |
title | Histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging |
title_full | Histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging |
title_fullStr | Histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging |
title_full_unstemmed | Histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging |
title_short | Histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging |
title_sort | histopathological subtyping of high-grade serous ovarian cancer using whole slide imaging |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10323300/ https://www.ncbi.nlm.nih.gov/pubmed/36807749 http://dx.doi.org/10.3802/jgo.2023.34.e47 |
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