Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues.
Comprehensive single-cell transcriptome analysis reveals heterogeneity in endometrioid adenocarcinoma tissues.
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DOI：
10.1038/s41598-017-14676-3
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发表时间：
2017-10-27
影响因子：
4.6
通讯作者：
Torigoe T
中科院分区：
文献类型：
--
作者：
Hashimoto S;Tabuchi Y;Yurino H;Hirohashi Y;Deshimaru S;Asano T;Mariya T;Oshima K;Takamura Y;Ukita Y;Ametani A;Kondo N;Monma N;Takeda T;Misu S;Okayama T;Ikeo K;Saito T;Kaneko S;Suzuki Y;Hattori M;Matsushima K;Torigoe T
癌症组织的单细胞转录组分析可以提供亚型群体或各种微环境组成细胞的激活的客观评估。在这项研究中，我们将我们新开发的单细胞分析技术应用于具有鳞状分化组织的人子宫内膜样腺癌的肌层浸润侧（M侧）和子宫内膜侧（E侧）。我们还分析了来自同一组织的球形培养物，以确定体内干性的假定调节因子。与M侧相比，E侧的癌细胞恶性程度较高。 E 侧的许多细胞对球体特异性肿瘤发生相关标记物（包括 SOX2）呈阳性。此外，与 M 侧相比，E 侧的上皮间质转化 (EMT) 细胞数量较多。这项研究确定了癌症组织中含有高恶性潜能细胞（例如 EMT 和癌症干细胞样细胞）的位点。最后，我们证明已建立的子宫内膜样腺癌亚型分类器在肿瘤内的各个细胞中表达不同。因此，这种肿瘤内异质性可能与预后相关。
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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DOI：
10.1126/science.1247651
发表时间：
2014-02-14
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Jaitin DA;Kenigsberg E;Keren-Shaul H;Elefant N;Paul F;Zaretsky I;Mildner A;Cohen N;Jung S;Tanay A;Amit I
通讯作者：
Amit I
影响因子：
--
作者：
Garcia-Casado Z;Romero I;Fernandez-Serra A;Rubio L;Llopis F;Garcia A;Llombart P;Lopez-Guerrero JA
通讯作者：
Lopez-Guerrero JA
影响因子：
3.6
作者：
Tanaka Y;Terai Y;Kawaguchi H;Fujiwara S;Yoo S;Tsunetoh S;Takai M;Kanemura M;Tanabe A;Ohmichi M
通讯作者：
Ohmichi M
影响因子：
64.8
作者：
Navin N;Kendall J;Troge J;Andrews P;Rodgers L;McIndoo J;Cook K;Stepansky A;Levy D;Esposito D;Muthuswamy L;Krasnitz A;McCombie WR;Hicks J;Wigler M
通讯作者：
Wigler M
影响因子：
3.3
作者：
Mirantes, Cristina;Espinosa, Inigo;Matias-Guiu, Xavier
通讯作者：
Matias-Guiu, Xavier