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Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues

Single cell transcriptome analysis of a cancer tissue can provide objective assessment of subtype population or the activation of each of various microenvironment component cells. In this study, we applied our newly developed technique of single cell analysis to the myometrial infiltration side (M-s...

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Autores principales: Hashimoto, Shinichi, Tabuchi, Yuta, Yurino, Hideaki, Hirohashi, Yoshihiko, Deshimaru, Shungo, Asano, Takuya, Mariya, Tasuku, Oshima, Kenshiro, Takamura, Yuzuru, Ukita, Yoshiaki, Ametani, Akio, Kondo, Naoto, Monma, Norikazu, Takeda, Tadayuki, Misu, Sadahiko, Okayama, Toshitugu, Ikeo, Kazuho, Saito, Tsuyoshi, Kaneko, Shuich, Suzuki, Yutaka, Hattori, Masahira, Matsushima, Kouji, Torigoe, Toshihiko
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660171/
https://www.ncbi.nlm.nih.gov/pubmed/29079795
http://dx.doi.org/10.1038/s41598-017-14676-3
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author Hashimoto, Shinichi
Tabuchi, Yuta
Yurino, Hideaki
Hirohashi, Yoshihiko
Deshimaru, Shungo
Asano, Takuya
Mariya, Tasuku
Oshima, Kenshiro
Takamura, Yuzuru
Ukita, Yoshiaki
Ametani, Akio
Kondo, Naoto
Monma, Norikazu
Takeda, Tadayuki
Misu, Sadahiko
Okayama, Toshitugu
Ikeo, Kazuho
Saito, Tsuyoshi
Kaneko, Shuich
Suzuki, Yutaka
Hattori, Masahira
Matsushima, Kouji
Torigoe, Toshihiko
author_facet Hashimoto, Shinichi
Tabuchi, Yuta
Yurino, Hideaki
Hirohashi, Yoshihiko
Deshimaru, Shungo
Asano, Takuya
Mariya, Tasuku
Oshima, Kenshiro
Takamura, Yuzuru
Ukita, Yoshiaki
Ametani, Akio
Kondo, Naoto
Monma, Norikazu
Takeda, Tadayuki
Misu, Sadahiko
Okayama, Toshitugu
Ikeo, Kazuho
Saito, Tsuyoshi
Kaneko, Shuich
Suzuki, Yutaka
Hattori, Masahira
Matsushima, Kouji
Torigoe, Toshihiko
author_sort Hashimoto, Shinichi
collection PubMed
description Single cell transcriptome analysis of a cancer tissue can provide objective assessment of subtype population or the activation of each of various microenvironment component cells. In this study, we applied our newly developed technique of single cell analysis to the myometrial infiltration side (M-side) and the endometrial side (E-side) of a human endometrioid adenocarcinoma with squamous differentiation tissues. We also analyzed spherogenic cultures derived from the same tissue to identify putative regulators of stemness in vivo. Cancer cells in the E-side were highly malignant compared with those in the M-side. Many cells on the E-side were positive for spheroid-specific tumorigenesis-related markers including SOX2. In addition, there were higher numbers of epithelial-to-mesenchymal transition (EMT) cells in the E-side compared with the M-side. This study identified a site containing cells with high malignant potential such as EMT and cancer stem-like cells in cancer tissues. Finally, we demonstrate that established endometrioid adenocarcinoma subtype classifiers were variably expressed across individual cells within a tumor. Thus, such intratumoral heterogeneity may be related to prognostic implications.
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spelling pubmed-56601712017-11-01 Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues Hashimoto, Shinichi Tabuchi, Yuta Yurino, Hideaki Hirohashi, Yoshihiko Deshimaru, Shungo Asano, Takuya Mariya, Tasuku Oshima, Kenshiro Takamura, Yuzuru Ukita, Yoshiaki Ametani, Akio Kondo, Naoto Monma, Norikazu Takeda, Tadayuki Misu, Sadahiko Okayama, Toshitugu Ikeo, Kazuho Saito, Tsuyoshi Kaneko, Shuich Suzuki, Yutaka Hattori, Masahira Matsushima, Kouji Torigoe, Toshihiko Sci Rep Article Single cell transcriptome analysis of a cancer tissue can provide objective assessment of subtype population or the activation of each of various microenvironment component cells. In this study, we applied our newly developed technique of single cell analysis to the myometrial infiltration side (M-side) and the endometrial side (E-side) of a human endometrioid adenocarcinoma with squamous differentiation tissues. We also analyzed spherogenic cultures derived from the same tissue to identify putative regulators of stemness in vivo. Cancer cells in the E-side were highly malignant compared with those in the M-side. Many cells on the E-side were positive for spheroid-specific tumorigenesis-related markers including SOX2. In addition, there were higher numbers of epithelial-to-mesenchymal transition (EMT) cells in the E-side compared with the M-side. This study identified a site containing cells with high malignant potential such as EMT and cancer stem-like cells in cancer tissues. Finally, we demonstrate that established endometrioid adenocarcinoma subtype classifiers were variably expressed across individual cells within a tumor. Thus, such intratumoral heterogeneity may be related to prognostic implications. Nature Publishing Group UK 2017-10-27 /pmc/articles/PMC5660171/ /pubmed/29079795 http://dx.doi.org/10.1038/s41598-017-14676-3 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hashimoto, Shinichi
Tabuchi, Yuta
Yurino, Hideaki
Hirohashi, Yoshihiko
Deshimaru, Shungo
Asano, Takuya
Mariya, Tasuku
Oshima, Kenshiro
Takamura, Yuzuru
Ukita, Yoshiaki
Ametani, Akio
Kondo, Naoto
Monma, Norikazu
Takeda, Tadayuki
Misu, Sadahiko
Okayama, Toshitugu
Ikeo, Kazuho
Saito, Tsuyoshi
Kaneko, Shuich
Suzuki, Yutaka
Hattori, Masahira
Matsushima, Kouji
Torigoe, Toshihiko
Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues
title Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues
title_full Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues
title_fullStr Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues
title_full_unstemmed Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues
title_short Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues
title_sort comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660171/
https://www.ncbi.nlm.nih.gov/pubmed/29079795
http://dx.doi.org/10.1038/s41598-017-14676-3
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