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 in | Molecular therapy Vol. 28; no. 7; pp. 1658 - 1672 |
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Main Authors | , , , , , , , , , , |
Format | Journal Article |
Language | English |
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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.
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Junyi surname: Hu fullname: Hu, Junyi organization: Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China – sequence: 2 givenname: Zhaohui surname: Chen fullname: Chen, Zhaohui organization: Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China – sequence: 3 givenname: Lin surname: Bao fullname: Bao, Lin organization: Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China – sequence: 4 givenname: Lijie surname: Zhou fullname: Zhou, Lijie organization: Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China – sequence: 5 givenname: Yaxin surname: Hou fullname: Hou, Yaxin organization: Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China – sequence: 6 givenname: Lilong surname: Liu fullname: Liu, Lilong organization: Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China – sequence: 7 givenname: Ming surname: Xiong fullname: Xiong, Ming organization: Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China – sequence: 8 givenname: Yuhan surname: Zhang fullname: Zhang, Yuhan organization: Department of Radiation Oncology and Cyberknife Center, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China – sequence: 9 givenname: Bin surname: Wang fullname: Wang, Bin organization: Department of Radiation Oncology and Cyberknife Center, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China – sequence: 10 givenname: Zhen surname: Tao fullname: Tao, Zhen email: ztao@tmu.edu.cn organization: Department of Radiation Oncology and Cyberknife Center, Tianjin Medical University Cancer Institute & Hospital, Tianjin, China – sequence: 11 givenname: Ke surname: Chen fullname: Chen, Ke email: shenke@hust.edu.cn organization: Department of Urology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32396851$$D View this record in MEDLINE/PubMed |
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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 |
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