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

Shinichi Hashimoto*, Yuta Tabuchi, Hideaki Yurino, Yoshihiko Hirohashi, Shungo Deshimaru, Takuya Asano, Tasuku Mariya, Kenshiro Oshima, Yuzuru Takamura, Yoshiaki Ukita, Akio Ametani, Naoto Kondo, Norikazu Monma, Tadayuki Takeda, Sadahiko Misu, Toshitugu Okayama, Kazuho Ikeo, Tsuyoshi Saito, Shuich Kaneko, Yutaka SuzukiMasahira Hattori, Kouji Matsushima, Toshihiko Torigoe

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    15 Citations (Scopus)

    Abstract

    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.

    Original languageEnglish
    Article number14225
    JournalScientific Reports
    Volume7
    Issue number1
    DOIs
    Publication statusPublished - 2017 Dec 1

    ASJC Scopus subject areas

    • General

    Fingerprint

    Dive into the research topics of 'Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues'. Together they form a unique fingerprint.

    Cite this