Potentiality of multiple modalities for single-cell analyses to evaluate the tumor microenvironment in clinical specimens

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作者
Yukie Kashima
Yosuke Togashi
Shota Fukuoka
Takahiro Kamada
Takuma Irie
Ayako Suzuki
Yoshiaki Nakamura
Kohei Shitara
Tatsunori Minamide
Taku Yoshida
Naofumi Taoka
Tatsuya Kawase
Teiji Wada
Koichiro Inaki
Masataka Chihara
Yukihiko Ebisuno
Sakiyo Tsukamoto
Ryo Fujii
Akihiro Ohashi
Yutaka Suzuki
Katsuya Tsuchihara
Hiroyoshi Nishikawa
Toshihiko Doi
机构
[1] National Cancer Center,Division of Translational Genomics, Exploratory Oncology Research & Clinical Trial Center
[2] National Cancer Center,Division of Cancer Immunology, Exploratory Oncology Research & Clinical Trial Center
[3] The University of Tokyo,Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences
[4] National Cancer Center Hospital East,Department of Gastroenterology and Gastrointestinal Oncology
[5] National Cancer Center Hospital East,Department of Gastroenterology and Endoscopy
[6] Astellas Pharma,Drug Discovery Research
[7] Inc.,Oncology Research Laboratories I
[8] DaiichiSankyo. Co.,Biomarker & Translational Research Department
[9] Ltd.,Division of Translational Informatics, Exploratory Oncology Research & Clinical Trial Center
[10] DaiichiSankyo. Co.,Experimental Therapeutics
[11] Ltd.,undefined
[12] Takeda Pharmaceutical Company Ltd.,undefined
[13] Axcelead Drug Discovery Partners Inc.,undefined
[14] National Cancer Center,undefined
[15] National Cancer Center Hospital East,undefined
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摘要
Single-cell level analysis is powerful tool to assess the heterogeneity of cellular components in tumor microenvironments (TME). In this study, we investigated immune-profiles using the single-cell analyses of endoscopically- or surgically-resected tumors, and peripheral blood mononuclear cells from gastric cancer patients. Furthermore, we technically characterized two distinct platforms of the single-cell analysis; RNA-seq-based analysis (scRNA-seq), and mass cytometry-based analysis (CyTOF), both of which are broadly embraced technologies. Our study revealed that the scRNA-seq analysis could cover a broader range of immune cells of TME in the biopsy-resected small samples of tumors, detecting even small subgroups of B cells or Treg cells in the tumors, although CyTOF could distinguish the specific populations in more depth. These findings demonstrate that scRNA-seq analysis is a highly-feasible platform for elucidating the complexity of TME in small biopsy tumors, which would provide a novel strategies to overcome a therapeutic difficulties against cancer heterogeneity in TME.
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