Single-Cell Transcriptome Analysis Reveals Intratumoral Heterogeneity in ccRCC, which Results in Different Clinical Outcomes

Clear-cell renal cell carcinoma (ccRCC) is the most common histological type of RCC. To investigate the intratumoral heterogeneity of ccRCC, we analyzed single-cell RNA-sequencing data and identified 15 major cell types, along with 39 subgroups of cells derived from tumor or non-malignant tissues, a...

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Published inMolecular therapy Vol. 28; no. 7; pp. 1658 - 1672
Main Authors Hu, Junyi, Chen, Zhaohui, Bao, Lin, Zhou, Lijie, Hou, Yaxin, Liu, Lilong, Xiong, Ming, Zhang, Yuhan, Wang, Bin, Tao, Zhen, Chen, Ke
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 08.07.2020
American Society of Gene & Cell Therapy
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Abstract Clear-cell renal cell carcinoma (ccRCC) is the most common histological type of RCC. To investigate the intratumoral heterogeneity of ccRCC, we analyzed single-cell RNA-sequencing data and identified 15 major cell types, along with 39 subgroups of cells derived from tumor or non-malignant tissues, and confirmed their presence by immunofluorescence staining in tissue chips. In this study, we verified that T cell exhaustion was the key factor responsible for the immunosuppressive property of ccRCC tissues, which was significantly related to poor prognosis. We also found that abnormal metabolic patterns occurred not only in cancer cells, but also in tumor-infiltrating stromal cells. Based on the fraction of each cell cluster detected by CIBERSORTx, 533 patients from The Cancer Genome Atlas (TCGA) KIRC dataset were divided into three groups. One group, which showed a lesser proportion of activated CD8+ cells and greater proportion of exhausted CD8+ cells, was associated with a poor prognosis. Hence, the blockade of immunosuppressive checkpoints, not only PD-1, but also LAG3, TIM-3, and other inhibitory checkpoints, could serve as a potential target for ccRCC immunotherapy. Our work will further the understanding of the heterogeneity among ccRCC tissues and provide novel strategies for treating ccRCC. [Display omitted] Via single-cell transcriptome analysis, we investigated the intra-tumoral heterogeneity of clear-cell renal cell carcinoma (ccRCC) and identified the composition inside tumor tissues. With a computational pipeline, we revealed the clinical significance of tumor-infiltrating cells and provided novel strategies for treating ccRCC.
AbstractList Clear-cell renal cell carcinoma (ccRCC) is the most common histological type of RCC. To investigate the intratumoral heterogeneity of ccRCC, we analyzed single-cell RNA-sequencing data and identified 15 major cell types, along with 39 subgroups of cells derived from tumor or non-malignant tissues, and confirmed their presence by immunofluorescence staining in tissue chips. In this study, we verified that T cell exhaustion was the key factor responsible for the immunosuppressive property of ccRCC tissues, which was significantly related to poor prognosis. We also found that abnormal metabolic patterns occurred not only in cancer cells, but also in tumor-infiltrating stromal cells. Based on the fraction of each cell cluster detected by CIBERSORTx, 533 patients from The Cancer Genome Atlas (TCGA) KIRC dataset were divided into three groups. One group, which showed a lesser proportion of activated CD8+ cells and greater proportion of exhausted CD8+ cells, was associated with a poor prognosis. Hence, the blockade of immunosuppressive checkpoints, not only PD-1, but also LAG3, TIM-3, and other inhibitory checkpoints, could serve as a potential target for ccRCC immunotherapy. Our work will further the understanding of the heterogeneity among ccRCC tissues and provide novel strategies for treating ccRCC.Clear-cell renal cell carcinoma (ccRCC) is the most common histological type of RCC. To investigate the intratumoral heterogeneity of ccRCC, we analyzed single-cell RNA-sequencing data and identified 15 major cell types, along with 39 subgroups of cells derived from tumor or non-malignant tissues, and confirmed their presence by immunofluorescence staining in tissue chips. In this study, we verified that T cell exhaustion was the key factor responsible for the immunosuppressive property of ccRCC tissues, which was significantly related to poor prognosis. We also found that abnormal metabolic patterns occurred not only in cancer cells, but also in tumor-infiltrating stromal cells. Based on the fraction of each cell cluster detected by CIBERSORTx, 533 patients from The Cancer Genome Atlas (TCGA) KIRC dataset were divided into three groups. One group, which showed a lesser proportion of activated CD8+ cells and greater proportion of exhausted CD8+ cells, was associated with a poor prognosis. Hence, the blockade of immunosuppressive checkpoints, not only PD-1, but also LAG3, TIM-3, and other inhibitory checkpoints, could serve as a potential target for ccRCC immunotherapy. Our work will further the understanding of the heterogeneity among ccRCC tissues and provide novel strategies for treating ccRCC.
Clear-cell renal cell carcinoma (ccRCC) is the most common histological type of RCC. To investigate the intratumoral heterogeneity of ccRCC, we analyzed single-cell RNA-sequencing data and identified 15 major cell types, along with 39 subgroups of cells derived from tumor or non-malignant tissues, and confirmed their presence by immunofluorescence staining in tissue chips. In this study, we verified that T cell exhaustion was the key factor responsible for the immunosuppressive property of ccRCC tissues, which was significantly related to poor prognosis. We also found that abnormal metabolic patterns occurred not only in cancer cells, but also in tumor-infiltrating stromal cells. Based on the fraction of each cell cluster detected by CIBERSORTx, 533 patients from The Cancer Genome Atlas (TCGA) KIRC dataset were divided into three groups. One group, which showed a lesser proportion of activated CD8 + cells and greater proportion of exhausted CD8 + cells, was associated with a poor prognosis. Hence, the blockade of immunosuppressive checkpoints, not only PD-1, but also LAG3, TIM-3, and other inhibitory checkpoints, could serve as a potential target for ccRCC immunotherapy. Our work will further the understanding of the heterogeneity among ccRCC tissues and provide novel strategies for treating ccRCC. Via single-cell transcriptome analysis, we investigated the intra-tumoral heterogeneity of clear-cell renal cell carcinoma (ccRCC) and identified the composition inside tumor tissues. With a computational pipeline, we revealed the clinical significance of tumor-infiltrating cells and provided novel strategies for treating ccRCC.
Clear-cell renal cell carcinoma (ccRCC) is the most common histological type of RCC. To investigate the intratumoral heterogeneity of ccRCC, we analyzed single-cell RNA-sequencing data and identified 15 major cell types, along with 39 subgroups of cells derived from tumor or non-malignant tissues, and confirmed their presence by immunofluorescence staining in tissue chips. In this study, we verified that T cell exhaustion was the key factor responsible for the immunosuppressive property of ccRCC tissues, which was significantly related to poor prognosis. We also found that abnormal metabolic patterns occurred not only in cancer cells, but also in tumor-infiltrating stromal cells. Based on the fraction of each cell cluster detected by CIBERSORTx, 533 patients from The Cancer Genome Atlas (TCGA) KIRC dataset were divided into three groups. One group, which showed a lesser proportion of activated CD8 cells and greater proportion of exhausted CD8 cells, was associated with a poor prognosis. Hence, the blockade of immunosuppressive checkpoints, not only PD-1, but also LAG3, TIM-3, and other inhibitory checkpoints, could serve as a potential target for ccRCC immunotherapy. Our work will further the understanding of the heterogeneity among ccRCC tissues and provide novel strategies for treating ccRCC.
Clear-cell renal cell carcinoma (ccRCC) is the most common histological type of RCC. To investigate the intratumoral heterogeneity of ccRCC, we analyzed single-cell RNA-sequencing data and identified 15 major cell types, along with 39 subgroups of cells derived from tumor or non-malignant tissues, and confirmed their presence by immunofluorescence staining in tissue chips. In this study, we verified that T cell exhaustion was the key factor responsible for the immunosuppressive property of ccRCC tissues, which was significantly related to poor prognosis. We also found that abnormal metabolic patterns occurred not only in cancer cells, but also in tumor-infiltrating stromal cells. Based on the fraction of each cell cluster detected by CIBERSORTx, 533 patients from The Cancer Genome Atlas (TCGA) KIRC dataset were divided into three groups. One group, which showed a lesser proportion of activated CD8+ cells and greater proportion of exhausted CD8+ cells, was associated with a poor prognosis. Hence, the blockade of immunosuppressive checkpoints, not only PD-1, but also LAG3, TIM-3, and other inhibitory checkpoints, could serve as a potential target for ccRCC immunotherapy. Our work will further the understanding of the heterogeneity among ccRCC tissues and provide novel strategies for treating ccRCC. [Display omitted] Via single-cell transcriptome analysis, we investigated the intra-tumoral heterogeneity of clear-cell renal cell carcinoma (ccRCC) and identified the composition inside tumor tissues. With a computational pipeline, we revealed the clinical significance of tumor-infiltrating cells and provided novel strategies for treating ccRCC.
Author Zhou, Lijie
Tao, Zhen
Bao, Lin
Zhang, Yuhan
Liu, Lilong
Chen, Zhaohui
Xiong, Ming
Hu, Junyi
Hou, Yaxin
Chen, Ke
Wang, Bin
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  surname: Zhang
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  organization: Department of Radiation Oncology and Cyberknife Center, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China
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  surname: Wang
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  organization: Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Cites_doi 10.1038/nri.2016.80
10.1038/nmeth.4402
10.1093/jnci/djx121
10.1155/2013/731023
10.1186/s12944-017-0574-7
10.1038/s41571-019-0209-1
10.1371/journal.pone.0010966
10.1126/science.aat1699
10.1182/blood-2005-01-0428
10.1016/j.canlet.2016.01.043
10.1016/j.immuni.2015.01.006
10.1038/nbt.4314
10.1172/JCI120855
10.1038/s41467-019-09116-x
10.1038/nri.2017.76
10.1038/s41586-018-0698-6
10.1038/nrclinonc.2016.217
10.1038/s41591-018-0096-5
10.1016/j.cell.2018.11.010
10.1038/s41581-019-0131-x
10.1038/ni.3486
10.1158/2326-6066.CIR-18-0891
10.1093/nar/gky900
10.3322/caac.21492
10.1016/j.eururo.2019.05.041
10.1016/j.vetimm.2019.04.003
10.1038/nmeth.4463
10.1089/omi.2011.0118
10.1186/1471-2172-10-18
10.1038/s41586-019-1324-y
10.1126/science.1254257
10.1038/nrc2067
10.1038/s41467-019-10861-2
10.1016/j.ccell.2019.02.009
10.1158/2159-8290.CD-19-0094
10.1093/bioinformatics/btq170
10.1200/JCO.2018.79.2648
10.1038/nri2634
10.1158/2159-8290.CD-14-1507
10.1038/nbt.4096
ContentType Journal Article
Copyright 2020 The American Society of Gene and Cell Therapy
Copyright © 2020 The American Society of Gene and Cell Therapy. Published by Elsevier Inc. All rights reserved.
2020 The American Society of Gene and Cell Therapy. 2020 The American Society of Gene and Cell Therapy
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Keywords T cell exhaustion
single-cell sequencing
tumor microenvironment
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clear-cell renal cell carcinoma
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References Qiu, Mao, Tang, Wang, Chawla, Pliner, Trapnell (bib38) 2017; 14
Wilkerson, Hayes (bib30) 2010; 26
Roumenina, Daugan, Noé, Petitprez, Vano, Sanchez-Salas, Becht, Meilleroux, Clec’h, Giraldo (bib26) 2019; 7
Günthner, Anders (bib18) 2013; 2013
Wu, Dai (bib31) 2017; 387
Hanley, Mellone, Ford, Thirdborough, Mellows, Frampton, Smith, Harden, Szyndralewiez, Bullock (bib9) 2018; 110
Zeng, Kikuchi, Pino, Chung (bib29) 2010; 5
Cassetta, Fragkogianni, Sims, Swierczak, Forrester, Zhang, Soong, Cotechini, Anur, Lin (bib32) 2019; 35
Butler, Hoffman, Smibert, Papalexi, Satija (bib34) 2018; 36
Syafruddin, Rodrigues, Vojtasova, Patel, Zaini, Burge, Warren, Stewart, Eisen, Bihary (bib25) 2019; 10
Bray, Ferlay, Soerjomataram, Siegel, Torre, Jemal (bib1) 2018; 68
Aibar, González-Blas, Moerman, Huynh-Thu, Imrichova, Hulselmans, Rambow, Marine, Geurts, Aerts (bib37) 2017; 14
Qiu, Ackerman, Sanchez, Li, Ochocki, Grazioli, Bobrovnikova-Marjon, Diehl, Keith, Simon (bib23) 2015; 5
Porta, Cosmai, Leibovich, Powles, Gallieni, Bex (bib2) 2019; 15
Becht, McInnes, Healy, Dutertre, Kwok, Ng, Ginhoux, Newell (bib35) 2019; 37
Yu, Wang, Han, He (bib39) 2012; 16
Lake, Chen, Hoshi, Plongthongkum, Salamon, Knoten, Vijayan, Venkatesh, Kim, Gao (bib11) 2019; 10
Baek, Haas, Hackstein, Bein, Hernandez-Santana, Lehrach, Sauer, Seitz (bib14) 2009; 10
Martinez, Pereira, Äijö, Kim, Marangoni, Pipkin, Togher, Heissmeyer, Zhang, Crotty (bib21) 2015; 42
Li, Rong, Bao, Nie, Ren, Zheng, Amin, Arnold, Jeganathan, Huggins (bib24) 2017; 16
Young, Mitchell, Vieira Braga, Tran, Stewart, Ferdinand, Collord, Botting, Popescu, Loudon (bib10) 2018; 361
Lambrechts, Wauters, Boeckx, Aibar, Nittner, Burton, Bassez, Decaluwé, Pircher, Van den Eynde (bib28) 2018; 24
Zhang, Lan, Xu, Quan, Zhao, Deng, Luo, Xu, Liao, Yan (bib36) 2019; 47
Albini, Sporn (bib7) 2007; 7
Heilmann, Nestler, Schwarz, Grützner, Ambrus, Seeger, Suchodolski, Steiner, Gurtner (bib13) 2019; 211
Papalexi, Satija (bib6) 2018; 18
Wang, Sanmamed, Datar, Su, Ji, Sun, Chen, Chen, Zhu, Yin (bib16) 2019; 176
Biswas, Gangi, Paul, Schioppa, Saccani, Sironi, Bottazzi, Doni, Vincenzo, Pasqualini (bib17) 2006; 107
Mantovani, Marchesi, Malesci, Laghi, Allavena (bib8) 2017; 14
Scott, Dündar, Zumbo, Chandran, Klebanoff, Shakiba, Trivedi, Menocal, Appleby, Camara (bib20) 2019; 571
Speiser, Ho, Verdeil (bib22) 2016; 16
Chappell, Payne, Rathmell (bib12) 2019; 129
Shang, Coppo, He, Ning, Yu, Kang, Zhang, Ju, Qiao, Zhao (bib15) 2016; 17
Patel, Tirosh, Trombetta, Shalek, Gillespie, Wakimoto, Cahill, Nahed, Curry, Martuza (bib5) 2014; 344
Medzhitov, Horng (bib19) 2009; 9
Elyada, Bolisetty, Laise, Flynn, Courtois, Burkhart, Teinor, Belleau, Biffi, Lucito (bib27) 2019; 9
Kotecha, Motzer, Voss (bib4) 2019; 16
Vento-Tormo, Efremova, Botting, Turco, Vento-Tormo, Meyer, Park, Stephenson, Polański, Goncalves (bib40) 2018; 563
Grimm, Bex, De Santis, Ljungberg, Catto, Rouprêt, Hussain, Bellmunt, Powles, Wirth, Van Poppel (bib3) 2019; 76
Drake, Stein (bib33) 2018; 36
Patel (10.1016/j.ymthe.2020.04.023_bib5) 2014; 344
Speiser (10.1016/j.ymthe.2020.04.023_bib22) 2016; 16
Medzhitov (10.1016/j.ymthe.2020.04.023_bib19) 2009; 9
Kotecha (10.1016/j.ymthe.2020.04.023_bib4) 2019; 16
Chappell (10.1016/j.ymthe.2020.04.023_bib12) 2019; 129
Qiu (10.1016/j.ymthe.2020.04.023_bib38) 2017; 14
Albini (10.1016/j.ymthe.2020.04.023_bib7) 2007; 7
Lake (10.1016/j.ymthe.2020.04.023_bib11) 2019; 10
Yu (10.1016/j.ymthe.2020.04.023_bib39) 2012; 16
Roumenina (10.1016/j.ymthe.2020.04.023_bib26) 2019; 7
Elyada (10.1016/j.ymthe.2020.04.023_bib27) 2019; 9
Drake (10.1016/j.ymthe.2020.04.023_bib33) 2018; 36
Aibar (10.1016/j.ymthe.2020.04.023_bib37) 2017; 14
Baek (10.1016/j.ymthe.2020.04.023_bib14) 2009; 10
Butler (10.1016/j.ymthe.2020.04.023_bib34) 2018; 36
Qiu (10.1016/j.ymthe.2020.04.023_bib23) 2015; 5
Zhang (10.1016/j.ymthe.2020.04.023_bib36) 2019; 47
Young (10.1016/j.ymthe.2020.04.023_bib10) 2018; 361
Shang (10.1016/j.ymthe.2020.04.023_bib15) 2016; 17
Martinez (10.1016/j.ymthe.2020.04.023_bib21) 2015; 42
Bray (10.1016/j.ymthe.2020.04.023_bib1) 2018; 68
Wang (10.1016/j.ymthe.2020.04.023_bib16) 2019; 176
Scott (10.1016/j.ymthe.2020.04.023_bib20) 2019; 571
Syafruddin (10.1016/j.ymthe.2020.04.023_bib25) 2019; 10
Lambrechts (10.1016/j.ymthe.2020.04.023_bib28) 2018; 24
Biswas (10.1016/j.ymthe.2020.04.023_bib17) 2006; 107
Porta (10.1016/j.ymthe.2020.04.023_bib2) 2019; 15
Heilmann (10.1016/j.ymthe.2020.04.023_bib13) 2019; 211
Becht (10.1016/j.ymthe.2020.04.023_bib35) 2019; 37
Wu (10.1016/j.ymthe.2020.04.023_bib31) 2017; 387
Hanley (10.1016/j.ymthe.2020.04.023_bib9) 2018; 110
Wilkerson (10.1016/j.ymthe.2020.04.023_bib30) 2010; 26
Günthner (10.1016/j.ymthe.2020.04.023_bib18) 2013; 2013
Vento-Tormo (10.1016/j.ymthe.2020.04.023_bib40) 2018; 563
Mantovani (10.1016/j.ymthe.2020.04.023_bib8) 2017; 14
Cassetta (10.1016/j.ymthe.2020.04.023_bib32) 2019; 35
Grimm (10.1016/j.ymthe.2020.04.023_bib3) 2019; 76
Zeng (10.1016/j.ymthe.2020.04.023_bib29) 2010; 5
Papalexi (10.1016/j.ymthe.2020.04.023_bib6) 2018; 18
Li (10.1016/j.ymthe.2020.04.023_bib24) 2017; 16
References_xml – volume: 10
  start-page: 1152
  year: 2019
  ident: bib25
  article-title: A KLF6-driven transcriptional network links lipid homeostasis and tumour growth in renal carcinoma
  publication-title: Nat. Commun.
– volume: 361
  start-page: 594
  year: 2018
  end-page: 599
  ident: bib10
  article-title: Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors
  publication-title: Science
– volume: 10
  start-page: 2832
  year: 2019
  ident: bib11
  article-title: A single-nucleus RNA-sequencing pipeline to decipher the molecular anatomy and pathophysiology of human kidneys
  publication-title: Nat. Commun.
– volume: 9
  start-page: 1102
  year: 2019
  end-page: 1123
  ident: bib27
  article-title: Cross-species single-cell analysis of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts
  publication-title: Cancer Discov.
– volume: 36
  year: 2018
  ident: bib33
  article-title: The immunobiology of kidney cancer
  publication-title: J. Clin. Oncol.
– volume: 107
  start-page: 2112
  year: 2006
  end-page: 2122
  ident: bib17
  article-title: A distinct and unique transcriptional program expressed by tumor-associated macrophages (defective NF-κB and enhanced IRF-3/STAT1 activation)
  publication-title: Blood
– volume: 7
  start-page: 139
  year: 2007
  end-page: 147
  ident: bib7
  article-title: The tumour microenvironment as a target for chemoprevention
  publication-title: Nat. Rev. Cancer
– volume: 110
  start-page: 109
  year: 2018
  end-page: 120
  ident: bib9
  article-title: Targeting the myofibroblastic cancer-associated fibroblast phenotype through inhibition of NOX4
  publication-title: J. Natl. Cancer Inst.
– volume: 5
  start-page: 652
  year: 2015
  end-page: 667
  ident: bib23
  article-title: HIF2α-dependent lipid storage promotes endoplasmic reticulum homeostasis in clear-cell renal cell carcinoma
  publication-title: Cancer Discov.
– volume: 7
  start-page: 1091
  year: 2019
  end-page: 1105
  ident: bib26
  article-title: Tumor cells hijack macrophage-produced complement C1q to promote tumor growth
  publication-title: Cancer Immunol. Res.
– volume: 14
  start-page: 979
  year: 2017
  end-page: 982
  ident: bib38
  article-title: Reversed graph embedding resolves complex single-cell trajectories
  publication-title: Nat. Methods
– volume: 17
  start-page: 930
  year: 2016
  end-page: 937
  ident: bib15
  article-title: The transcriptional repressor Hes1 attenuates inflammation by regulating transcription elongation
  publication-title: Nat. Immunol.
– volume: 26
  start-page: 1572
  year: 2010
  end-page: 1573
  ident: bib30
  article-title: ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
  publication-title: Bioinformatics
– volume: 14
  start-page: 1083
  year: 2017
  end-page: 1086
  ident: bib37
  article-title: SCENIC: single-cell regulatory network inference and clustering
  publication-title: Nat. Methods
– volume: 68
  start-page: 394
  year: 2018
  end-page: 424
  ident: bib1
  article-title: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
  publication-title: CA Cancer J. Clin.
– volume: 36
  start-page: 411
  year: 2018
  end-page: 420
  ident: bib34
  article-title: Integrating single-cell transcriptomic data across different conditions, technologies, and species
  publication-title: Nat. Biotechnol.
– volume: 176
  start-page: 334
  year: 2019
  end-page: 347.e12
  ident: bib16
  article-title: Fibrinogen-like protein 1 is a major immune inhibitory ligand of LAG-3
  publication-title: Cell
– volume: 16
  start-page: 284
  year: 2012
  end-page: 287
  ident: bib39
  article-title: clusterProfiler: an R package for comparing biological themes among gene clusters
  publication-title: OMICS
– volume: 16
  start-page: 621
  year: 2019
  end-page: 633
  ident: bib4
  article-title: Towards individualized therapy for metastatic renal cell carcinoma
  publication-title: Nat. Rev. Clin. Oncol.
– volume: 35
  start-page: 588
  year: 2019
  end-page: 602.e10
  ident: bib32
  article-title: Human tumor-associated macrophage and monocyte transcriptional landscapes reveal cancer-specific reprogramming, biomarkers, and therapeutic targets
  publication-title: Cancer Cell
– volume: 42
  start-page: 265
  year: 2015
  end-page: 278
  ident: bib21
  article-title: The transcription factor NFAT promotes exhaustion of activated CD8
  publication-title: Immunity
– volume: 563
  start-page: 347
  year: 2018
  end-page: 353
  ident: bib40
  article-title: Single-cell reconstruction of the early maternal-fetal interface in humans
  publication-title: Nature
– volume: 211
  start-page: 64
  year: 2019
  end-page: 74
  ident: bib13
  article-title: Mucosal expression of S100A12 (calgranulin C) and S100A8/A9 (calprotectin) and correlation with serum and fecal concentrations in dogs with chronic inflammatory enteropathy
  publication-title: Vet. Immunol. Immunopathol.
– volume: 14
  start-page: 399
  year: 2017
  end-page: 416
  ident: bib8
  article-title: Tumour-associated macrophages as treatment targets in oncology
  publication-title: Nat. Rev. Clin. Oncol.
– volume: 47
  start-page: D721
  year: 2019
  end-page: D728
  ident: bib36
  article-title: CellMarker: a manually curated resource of cell markers in human and mouse
  publication-title: Nucleic Acids Res.
– volume: 2013
  start-page: 731023
  year: 2013
  ident: bib18
  article-title: Interferon-regulatory factors determine macrophage phenotype polarization
  publication-title: Mediators Inflamm.
– volume: 18
  start-page: 35
  year: 2018
  end-page: 45
  ident: bib6
  article-title: Single-cell RNA sequencing to explore immune cell heterogeneity
  publication-title: Nat. Rev. Immunol.
– volume: 15
  start-page: 423
  year: 2019
  end-page: 433
  ident: bib2
  article-title: The adjuvant treatment of kidney cancer: a multidisciplinary outlook
  publication-title: Nat. Rev. Nephrol.
– volume: 387
  start-page: 61
  year: 2017
  end-page: 68
  ident: bib31
  article-title: Tumor microenvironment and therapeutic response
  publication-title: Cancer Lett.
– volume: 24
  start-page: 1277
  year: 2018
  end-page: 1289
  ident: bib28
  article-title: Phenotype molding of stromal cells in the lung tumor microenvironment
  publication-title: Nat. Med.
– volume: 16
  start-page: 181
  year: 2017
  ident: bib24
  article-title: Suppression of adipocyte differentiation and lipid accumulation by stearidonic acid (SDA) in 3T3-L1 cells
  publication-title: Lipids Health Dis.
– volume: 129
  start-page: 442
  year: 2019
  end-page: 451
  ident: bib12
  article-title: Hypoxia, angiogenesis, and metabolism in the hereditary kidney cancers
  publication-title: J. Clin. Invest.
– volume: 10
  start-page: 18
  year: 2009
  ident: bib14
  article-title: Identification of novel transcriptional regulators involved in macrophage differentiation and activation in U937 cells
  publication-title: BMC Immunol.
– volume: 344
  start-page: 1396
  year: 2014
  end-page: 1401
  ident: bib5
  article-title: Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
  publication-title: Science
– volume: 5
  start-page: e10966
  year: 2010
  ident: bib29
  article-title: Hypoxia activates the K-ras proto-oncogene to stimulate angiogenesis and inhibit apoptosis in colon cancer cells
  publication-title: PLoS ONE
– volume: 76
  start-page: 368
  year: 2019
  end-page: 380
  ident: bib3
  article-title: Safe use of immune checkpoint inhibitors in the multidisciplinary management of urological cancer: the European Association of Urology position in 2019
  publication-title: Eur. Urol.
– volume: 37
  start-page: 38
  year: 2019
  end-page: 44
  ident: bib35
  article-title: Dimensionality reduction for visualizing single-cell data using UMAP
  publication-title: Nat. Biotechnol.
– volume: 16
  start-page: 599
  year: 2016
  end-page: 611
  ident: bib22
  article-title: Regulatory circuits of T cell function in cancer
  publication-title: Nat. Rev. Immunol.
– volume: 9
  start-page: 692
  year: 2009
  end-page: 703
  ident: bib19
  article-title: Transcriptional control of the inflammatory response
  publication-title: Nat. Rev. Immunol.
– volume: 571
  start-page: 270
  year: 2019
  end-page: 274
  ident: bib20
  article-title: TOX is a critical regulator of tumour-specific T cell differentiation
  publication-title: Nature
– volume: 16
  start-page: 599
  year: 2016
  ident: 10.1016/j.ymthe.2020.04.023_bib22
  article-title: Regulatory circuits of T cell function in cancer
  publication-title: Nat. Rev. Immunol.
  doi: 10.1038/nri.2016.80
– volume: 14
  start-page: 979
  year: 2017
  ident: 10.1016/j.ymthe.2020.04.023_bib38
  article-title: Reversed graph embedding resolves complex single-cell trajectories
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.4402
– volume: 110
  start-page: 109
  year: 2018
  ident: 10.1016/j.ymthe.2020.04.023_bib9
  article-title: Targeting the myofibroblastic cancer-associated fibroblast phenotype through inhibition of NOX4
  publication-title: J. Natl. Cancer Inst.
  doi: 10.1093/jnci/djx121
– volume: 2013
  start-page: 731023
  year: 2013
  ident: 10.1016/j.ymthe.2020.04.023_bib18
  article-title: Interferon-regulatory factors determine macrophage phenotype polarization
  publication-title: Mediators Inflamm.
  doi: 10.1155/2013/731023
– volume: 16
  start-page: 181
  year: 2017
  ident: 10.1016/j.ymthe.2020.04.023_bib24
  article-title: Suppression of adipocyte differentiation and lipid accumulation by stearidonic acid (SDA) in 3T3-L1 cells
  publication-title: Lipids Health Dis.
  doi: 10.1186/s12944-017-0574-7
– volume: 16
  start-page: 621
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib4
  article-title: Towards individualized therapy for metastatic renal cell carcinoma
  publication-title: Nat. Rev. Clin. Oncol.
  doi: 10.1038/s41571-019-0209-1
– volume: 5
  start-page: e10966
  year: 2010
  ident: 10.1016/j.ymthe.2020.04.023_bib29
  article-title: Hypoxia activates the K-ras proto-oncogene to stimulate angiogenesis and inhibit apoptosis in colon cancer cells
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0010966
– volume: 361
  start-page: 594
  year: 2018
  ident: 10.1016/j.ymthe.2020.04.023_bib10
  article-title: Single-cell transcriptomes from human kidneys reveal the cellular identity of renal tumors
  publication-title: Science
  doi: 10.1126/science.aat1699
– volume: 107
  start-page: 2112
  year: 2006
  ident: 10.1016/j.ymthe.2020.04.023_bib17
  article-title: A distinct and unique transcriptional program expressed by tumor-associated macrophages (defective NF-κB and enhanced IRF-3/STAT1 activation)
  publication-title: Blood
  doi: 10.1182/blood-2005-01-0428
– volume: 387
  start-page: 61
  year: 2017
  ident: 10.1016/j.ymthe.2020.04.023_bib31
  article-title: Tumor microenvironment and therapeutic response
  publication-title: Cancer Lett.
  doi: 10.1016/j.canlet.2016.01.043
– volume: 42
  start-page: 265
  year: 2015
  ident: 10.1016/j.ymthe.2020.04.023_bib21
  article-title: The transcription factor NFAT promotes exhaustion of activated CD8+ T cells
  publication-title: Immunity
  doi: 10.1016/j.immuni.2015.01.006
– volume: 37
  start-page: 38
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib35
  article-title: Dimensionality reduction for visualizing single-cell data using UMAP
  publication-title: Nat. Biotechnol.
  doi: 10.1038/nbt.4314
– volume: 129
  start-page: 442
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib12
  article-title: Hypoxia, angiogenesis, and metabolism in the hereditary kidney cancers
  publication-title: J. Clin. Invest.
  doi: 10.1172/JCI120855
– volume: 10
  start-page: 1152
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib25
  article-title: A KLF6-driven transcriptional network links lipid homeostasis and tumour growth in renal carcinoma
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-019-09116-x
– volume: 18
  start-page: 35
  year: 2018
  ident: 10.1016/j.ymthe.2020.04.023_bib6
  article-title: Single-cell RNA sequencing to explore immune cell heterogeneity
  publication-title: Nat. Rev. Immunol.
  doi: 10.1038/nri.2017.76
– volume: 563
  start-page: 347
  year: 2018
  ident: 10.1016/j.ymthe.2020.04.023_bib40
  article-title: Single-cell reconstruction of the early maternal-fetal interface in humans
  publication-title: Nature
  doi: 10.1038/s41586-018-0698-6
– volume: 14
  start-page: 399
  year: 2017
  ident: 10.1016/j.ymthe.2020.04.023_bib8
  article-title: Tumour-associated macrophages as treatment targets in oncology
  publication-title: Nat. Rev. Clin. Oncol.
  doi: 10.1038/nrclinonc.2016.217
– volume: 24
  start-page: 1277
  year: 2018
  ident: 10.1016/j.ymthe.2020.04.023_bib28
  article-title: Phenotype molding of stromal cells in the lung tumor microenvironment
  publication-title: Nat. Med.
  doi: 10.1038/s41591-018-0096-5
– volume: 176
  start-page: 334
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib16
  article-title: Fibrinogen-like protein 1 is a major immune inhibitory ligand of LAG-3
  publication-title: Cell
  doi: 10.1016/j.cell.2018.11.010
– volume: 15
  start-page: 423
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib2
  article-title: The adjuvant treatment of kidney cancer: a multidisciplinary outlook
  publication-title: Nat. Rev. Nephrol.
  doi: 10.1038/s41581-019-0131-x
– volume: 17
  start-page: 930
  year: 2016
  ident: 10.1016/j.ymthe.2020.04.023_bib15
  article-title: The transcriptional repressor Hes1 attenuates inflammation by regulating transcription elongation
  publication-title: Nat. Immunol.
  doi: 10.1038/ni.3486
– volume: 7
  start-page: 1091
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib26
  article-title: Tumor cells hijack macrophage-produced complement C1q to promote tumor growth
  publication-title: Cancer Immunol. Res.
  doi: 10.1158/2326-6066.CIR-18-0891
– volume: 47
  start-page: D721
  issue: D1
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib36
  article-title: CellMarker: a manually curated resource of cell markers in human and mouse
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/gky900
– volume: 68
  start-page: 394
  year: 2018
  ident: 10.1016/j.ymthe.2020.04.023_bib1
  article-title: Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
  publication-title: CA Cancer J. Clin.
  doi: 10.3322/caac.21492
– volume: 76
  start-page: 368
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib3
  article-title: Safe use of immune checkpoint inhibitors in the multidisciplinary management of urological cancer: the European Association of Urology position in 2019
  publication-title: Eur. Urol.
  doi: 10.1016/j.eururo.2019.05.041
– volume: 211
  start-page: 64
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib13
  article-title: Mucosal expression of S100A12 (calgranulin C) and S100A8/A9 (calprotectin) and correlation with serum and fecal concentrations in dogs with chronic inflammatory enteropathy
  publication-title: Vet. Immunol. Immunopathol.
  doi: 10.1016/j.vetimm.2019.04.003
– volume: 14
  start-page: 1083
  year: 2017
  ident: 10.1016/j.ymthe.2020.04.023_bib37
  article-title: SCENIC: single-cell regulatory network inference and clustering
  publication-title: Nat. Methods
  doi: 10.1038/nmeth.4463
– volume: 16
  start-page: 284
  year: 2012
  ident: 10.1016/j.ymthe.2020.04.023_bib39
  article-title: clusterProfiler: an R package for comparing biological themes among gene clusters
  publication-title: OMICS
  doi: 10.1089/omi.2011.0118
– volume: 10
  start-page: 18
  year: 2009
  ident: 10.1016/j.ymthe.2020.04.023_bib14
  article-title: Identification of novel transcriptional regulators involved in macrophage differentiation and activation in U937 cells
  publication-title: BMC Immunol.
  doi: 10.1186/1471-2172-10-18
– volume: 571
  start-page: 270
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib20
  article-title: TOX is a critical regulator of tumour-specific T cell differentiation
  publication-title: Nature
  doi: 10.1038/s41586-019-1324-y
– volume: 344
  start-page: 1396
  year: 2014
  ident: 10.1016/j.ymthe.2020.04.023_bib5
  article-title: Single-cell RNA-seq highlights intratumoral heterogeneity in primary glioblastoma
  publication-title: Science
  doi: 10.1126/science.1254257
– volume: 7
  start-page: 139
  year: 2007
  ident: 10.1016/j.ymthe.2020.04.023_bib7
  article-title: The tumour microenvironment as a target for chemoprevention
  publication-title: Nat. Rev. Cancer
  doi: 10.1038/nrc2067
– volume: 10
  start-page: 2832
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib11
  article-title: A single-nucleus RNA-sequencing pipeline to decipher the molecular anatomy and pathophysiology of human kidneys
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-019-10861-2
– volume: 35
  start-page: 588
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib32
  article-title: Human tumor-associated macrophage and monocyte transcriptional landscapes reveal cancer-specific reprogramming, biomarkers, and therapeutic targets
  publication-title: Cancer Cell
  doi: 10.1016/j.ccell.2019.02.009
– volume: 9
  start-page: 1102
  year: 2019
  ident: 10.1016/j.ymthe.2020.04.023_bib27
  article-title: Cross-species single-cell analysis of pancreatic ductal adenocarcinoma reveals antigen-presenting cancer-associated fibroblasts
  publication-title: Cancer Discov.
  doi: 10.1158/2159-8290.CD-19-0094
– volume: 26
  start-page: 1572
  year: 2010
  ident: 10.1016/j.ymthe.2020.04.023_bib30
  article-title: ConsensusClusterPlus: a class discovery tool with confidence assessments and item tracking
  publication-title: Bioinformatics
  doi: 10.1093/bioinformatics/btq170
– volume: 36
  year: 2018
  ident: 10.1016/j.ymthe.2020.04.023_bib33
  article-title: The immunobiology of kidney cancer
  publication-title: J. Clin. Oncol.
  doi: 10.1200/JCO.2018.79.2648
– volume: 9
  start-page: 692
  year: 2009
  ident: 10.1016/j.ymthe.2020.04.023_bib19
  article-title: Transcriptional control of the inflammatory response
  publication-title: Nat. Rev. Immunol.
  doi: 10.1038/nri2634
– volume: 5
  start-page: 652
  year: 2015
  ident: 10.1016/j.ymthe.2020.04.023_bib23
  article-title: HIF2α-dependent lipid storage promotes endoplasmic reticulum homeostasis in clear-cell renal cell carcinoma
  publication-title: Cancer Discov.
  doi: 10.1158/2159-8290.CD-14-1507
– volume: 36
  start-page: 411
  year: 2018
  ident: 10.1016/j.ymthe.2020.04.023_bib34
  article-title: Integrating single-cell transcriptomic data across different conditions, technologies, and species
  publication-title: Nat. Biotechnol.
  doi: 10.1038/nbt.4096
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Snippet Clear-cell renal cell carcinoma (ccRCC) is the most common histological type of RCC. To investigate the intratumoral heterogeneity of ccRCC, we analyzed...
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SubjectTerms bioinformatics
Carcinoma, Renal Cell - genetics
Carcinoma, Renal Cell - metabolism
clear-cell renal cell carcinoma
Female
Gene Expression Profiling - methods
Gene Expression Regulation, Neoplastic
Gene Regulatory Networks
heterogeneity
Humans
Kidney Neoplasms - genetics
Kidney Neoplasms - metabolism
Lymphocytes, Tumor-Infiltrating - immunology
Male
Organ Specificity
Original
Prognosis
Sequence Analysis, RNA
Single-Cell Analysis - methods
single-cell sequencing
T cell exhaustion
tumor microenvironment
Title Single-Cell Transcriptome Analysis Reveals Intratumoral Heterogeneity in ccRCC, which Results in Different Clinical Outcomes
URI https://dx.doi.org/10.1016/j.ymthe.2020.04.023
https://www.ncbi.nlm.nih.gov/pubmed/32396851
https://www.proquest.com/docview/2402425109
https://pubmed.ncbi.nlm.nih.gov/PMC7335756
Volume 28
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