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Fukagawa A, Hama N, Totoki Y, Nakamura H, Arai Y, Saito-Adachi M, Maeshima A, Matsui Y, Yachida S, Ushiku T, Shibata T. Genomic and epigenomic integrative subtypes of renal cell carcinoma in a Japanese cohort. Nat Commun 2023; 14:8383. [PMID: 38104198 PMCID: PMC10725467 DOI: 10.1038/s41467-023-44159-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 12/01/2023] [Indexed: 12/19/2023] Open
Abstract
Renal cell carcinoma (RCC) comprises several histological types characterised by different genomic and epigenomic aberrations; however, the molecular pathogenesis of each type still requires further exploration. We perform whole-genome sequencing of 128 Japanese RCC cases of different histology to elucidate the significant somatic alterations and mutagenesis processes. We also perform transcriptomic and epigenomic sequencing to identify distinguishing features, including assay for transposase-accessible chromatin sequencing (ATAC-seq) and methyl sequencing. Genomic analysis reveals that the mutational signature differs among the histological types, suggesting that different carcinogenic factors drive each histology. From the ATAC-seq results, master transcription factors are identified for each histology. Furthermore, clear cell RCC is classified into three epi-subtypes, one of which expresses highly immune checkpoint molecules with frequent loss of chromosome 14q. These genomic and epigenomic features may lead to the development of effective therapeutic strategies for RCC.
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Affiliation(s)
- Akihiko Fukagawa
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Natsuko Hama
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Yasushi Totoki
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Hiromi Nakamura
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Yasuhito Arai
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Mihoko Saito-Adachi
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan
| | - Akiko Maeshima
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Yoshiyuki Matsui
- Department of Urology, National Cancer Center Hospital, Tokyo, Japan
| | - Shinichi Yachida
- Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan
| | - Tetsuo Ushiku
- Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Tatsuhiro Shibata
- Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
- Laboratory of Molecular Medicine, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
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Chen Y, Zhou X, Xie Y, Wu J, Li T, Yu T, Pang Y, Du W. Establishment of a Seven-Gene Signature Associated with CD8 + T Cells through the Utilization of Both Single-Cell and Bulk RNA-Sequencing Techniques in Clear Cell Renal Cell Carcinoma. Int J Mol Sci 2023; 24:13729. [PMID: 37762031 PMCID: PMC10530336 DOI: 10.3390/ijms241813729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 09/01/2023] [Accepted: 09/04/2023] [Indexed: 09/29/2023] Open
Abstract
Tumor immune microenvironment constituents, such as CD8+ T cells, have emerged as crucial focal points for cancer immunotherapy. Given the absence of reliable biomarkers for clear cell renal cell carcinoma (ccRCC), we aimed to ascertain a molecular signature that could potentially be linked to CD8+ T cells. The differentially expressed genes (DEGs) linked to CD8+ T cells were identified through an analysis of single-cell RNA sequencing (scRNA-seq) data obtained from the Gene Expression Omnibus (GEO) database. Subsequently, immune-associated genes were obtained from the InnateDB and ImmPort datasets and were cross-referenced with CD8+ T-cell-associated DEGs to generate a series of DEGs linked to immune response and CD8+ T cells. Patients with ccRCC from the Cancer Genome Atlas (TCGA) were randomly allocated into testing and training groups. A gene signature was established by conducting LASSO-Cox analysis and subsequently confirmed using both the testing and complete groups. The efficacy of this signature in evaluating immunotherapy response was assessed on the IMvigor210 cohort. Finally, we employed various techniques, including CIBERSORT, ESTIMATE, ssGSEA, and qRT-PCR, to examine the immunological characteristics, drug responses, and expression of the signature genes in ccRCC. Our findings revealed 206 DEGs linked to immune response and CD8+ T cells, among which 65 genes were correlated with overall survival (OS) in ccRCC. A risk assessment was created utilizing a set of seven genes: RARRES2, SOCS3, TNFSF14, XCL1, GRN, CLDN4, and RBP7. The group with a lower risk showed increased expression of CD274 (PD-L1), suggesting a more favorable response to anti-PD-L1 treatment. The seven-gene signature demonstrated accurate prognostic prediction for ccRCC and holds potential as a clinical reference for treatment decisions.
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Affiliation(s)
- Yubin Chen
- Department of Bioinformatics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China; (Y.C.); (X.Z.); (Y.X.); (J.W.); (T.L.); (T.Y.); (Y.P.)
- Department of Biophysics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China
| | - Xinyu Zhou
- Department of Bioinformatics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China; (Y.C.); (X.Z.); (Y.X.); (J.W.); (T.L.); (T.Y.); (Y.P.)
- Department of Biophysics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China
| | - Yanwei Xie
- Department of Bioinformatics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China; (Y.C.); (X.Z.); (Y.X.); (J.W.); (T.L.); (T.Y.); (Y.P.)
- Department of Biophysics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China
| | - Jianan Wu
- Department of Bioinformatics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China; (Y.C.); (X.Z.); (Y.X.); (J.W.); (T.L.); (T.Y.); (Y.P.)
- Department of Biophysics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China
| | - Tingting Li
- Department of Bioinformatics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China; (Y.C.); (X.Z.); (Y.X.); (J.W.); (T.L.); (T.Y.); (Y.P.)
- Department of Biophysics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China
| | - Tian Yu
- Department of Bioinformatics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China; (Y.C.); (X.Z.); (Y.X.); (J.W.); (T.L.); (T.Y.); (Y.P.)
- Department of Biophysics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China
| | - Yipeng Pang
- Department of Bioinformatics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China; (Y.C.); (X.Z.); (Y.X.); (J.W.); (T.L.); (T.Y.); (Y.P.)
- Department of Biophysics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China
| | - Wenlong Du
- Department of Bioinformatics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China; (Y.C.); (X.Z.); (Y.X.); (J.W.); (T.L.); (T.Y.); (Y.P.)
- Department of Biophysics, School of Life Sciences, Xuzhou Medical University, Xuzhou 221004, China
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Mou W, Zhu L, Yang T, Lin A, Lyu Q, Guo L, Liu Z, Cheng Q, Zhang J, Luo P. Relationship between ATOH1 and tumor microenvironment in colon adenocarcinoma patients with different microsatellite instability status. Cancer Cell Int 2022; 22:229. [PMID: 35836254 PMCID: PMC9281179 DOI: 10.1186/s12935-022-02651-6] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Accepted: 07/05/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Colon adenocarcinoma (COAD) is one of the major varieties of malignant tumors threatening human health today. Immune checkpoint inhibitors (ICIs) have recently begun to emerge as an effective option for the treatment of COAD patients, but not all patients can benefit from ICI treatment. Previous studies have suggested that ICIs boast significant clinical effects on patients with microsatellite instability-high (MSI-H), while conversely patients with microsatellite-stable/microsatellite instability-low (MSS/MSI-L) have shown limited response. METHODS We used ATAC-seq, RNA-seq, and mutation data from The Cancer Genome Atlas Colon adenocarcinoma (TCGA-COAD) cohort to perform multi-omics differential analysis on COAD samples with different MSI statuses, then further screened genes by additionally combining these results with survival analysis. We analyzed the effects of the screened genes on the tumor microenvironment and immunogenicity of COAD patients, and subsequently determined their influence on the efficacy of ICIs in COAD patients using a series of predictive indexes. RESULTS Twelve genes were screened in the TCGA-COAD cohort, and after the combined survival analysis, we identified ATOH1 as having significant effects. ATOH1 is characterized by high chromatin accessibility, high expression, and high mutation in COAD patients in the MSI-H group. COAD patients with high ATOH1 expression are associated with a better prognosis, unique immune microenvironment, and higher efficacy in ICI treatment. Enrichment analysis showed that COAD patients with high ATOH1 expression displayed significant upregulation in their humoral immunity and other related pathways. CONCLUSIONS We speculate that ATOH1 may influence the efficacy of ICIs therapy in patients with COAD by affecting the immune microenvironment and immunogenicity of the tumor.
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Affiliation(s)
- Weiming Mou
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China
- The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China
| | - Lingxuan Zhu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China
- The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China
| | - Tao Yang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China
- The First Clinical Medical School, Southern Medical University, 1023 Shatai South Road, Guangzhou, 510515, Guangdong, China
| | - Anqi Lin
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China
| | - Qiong Lyu
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China
| | - Linlang Guo
- Department of Pathology, Zhujiang Hospital, Southern Medical University, Guangzhou, 510282, Guangdong, China
| | - Zaoqu Liu
- Department of Interventional Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China
| | - Quan Cheng
- Department of Neurosurgery, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, China
- National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, China
| | - Jian Zhang
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China.
| | - Peng Luo
- Department of Oncology, Zhujiang Hospital, Southern Medical University, 253 Industrial Avenue, Guangzhou, 510282, Guangdong, China.
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Mao P, Shen Y, Xu X, Zhong J. Comprehensive Analysis of the Immune Cell Infiltration Landscape and Immune-Related Methylation in Retinoblastoma. Front Genet 2022; 13:864473. [PMID: 35664300 PMCID: PMC9157546 DOI: 10.3389/fgene.2022.864473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Accepted: 03/21/2022] [Indexed: 11/13/2022] Open
Abstract
Retinoblastoma is a common pediatric intraocular cancer, originating from cone precursors. The development of immunotherapies can help eradicate the tumor without vision loss, which would largely improve the quality of life of patients with retinoblastoma. Investigation of the tumor immune microenvironment provides knowledge for developing novel immunotherapies in cancer. However, the immune cell infiltrative landscape of retinoblastoma is unknown. Here, we compared the relative expression of immune gene signatures among 59 patients with retinoblastoma. The patients were divided into two subgroups according to the 28 types of immune cell infiltration (ICI) scores. We found that a subgroup with high ICI scores had increased expression levels of late cone markers, while the other subgroup exhibited larger tumor size and metastasis propensity. Furthermore, hypermethylated genes in the high-ICI subgroup were associated with immune regulation in the tumor microenvironment, suggesting that DNA methylation may play a vital regulatory role in retinoblastoma immunity. Our study provides a comprehensive framework for the systemic analysis of the influences of epigenetic events on the tumor immune microenvironment. We anticipate that our assay can not only provide insights into tumor immune regulation but also open up the perspectives for the identification of novel immunotherapy targets for retinoblastoma.
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Affiliation(s)
- Peiyao Mao
- Shanghai Key Laboratory of Ocular Fundus Diseases, Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, National Clinical Research Center for Eye Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Yinchen Shen
- Shanghai Key Laboratory of Ocular Fundus Diseases, Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, National Clinical Research Center for Eye Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Xun Xu
- Shanghai Key Laboratory of Ocular Fundus Diseases, Department of Ophthalmology, Shanghai General Hospital, School of Medicine, Shanghai Jiao Tong University, National Clinical Research Center for Eye Diseases, Shanghai Engineering Center for Visual Science and Photomedicine, Shanghai Engineering Center for Precise Diagnosis and Treatment of Eye Diseases, Shanghai, China
| | - Jiawei Zhong
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-Sen University, Guangzhou, China
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Liu LP, Lu L, Zhao QQ, Kou QJ, Jiang ZZ, Gui R, Luo YW, Zhao QY. Identification and Validation of the Pyroptosis-Related Molecular Subtypes of Lung Adenocarcinoma by Bioinformatics and Machine Learning. Front Cell Dev Biol 2021; 9:756340. [PMID: 34805165 PMCID: PMC8599430 DOI: 10.3389/fcell.2021.756340] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Accepted: 10/04/2021] [Indexed: 12/20/2022] Open
Abstract
Lung cancer remains the leading cause of cancer death globally, with lung adenocarcinoma (LUAD) being its most prevalent subtype. Due to the heterogeneity of LUAD, patients given the same treatment regimen may have different responses and clinical outcomes. Therefore, identifying new subtypes of LUAD is important for predicting prognosis and providing personalized treatment for patients. Pyroptosis-related genes play an essential role in anticancer, but there is limited research investigating pyroptosis in LUAD. In this study, 33 pyroptosis gene expression profiles and clinical information were collected from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. By bioinformatics and machine learning analyses, we identified novel subtypes of LUAD based on 10 pyroptosis-related genes and further validated them in the GEO dataset, with machine learning models performing up to an AUC of 1 for classifying in GEO. A web-based tool was established for clinicians to use our clustering model (http://www.aimedicallab.com/tool/aiml-subphe-luad.html). LUAD patients were clustered into 3 subtypes (A, B, and C), and survival analysis showed that B had the best survival outcome and C had the worst survival outcome. The relationships between pyroptosis gene expression and clinical characteristics were further analyzed in the three molecular subtypes. Immune profiling revealed significant differences in immune cell infiltration among the three molecular subtypes. GO enrichment and KEGG pathway analyses were performed based on the differential genes of the three subtypes, indicating that differentially expressed genes (DEGs) were involved in multiple cellular and biological functions, including RNA catabolic process, mRNA catabolic process, and pathways of neurodegeneration-multiple diseases. Finally, we developed an 8-gene prognostic model that accurately predicted 1-, 3-, and 5-year overall survival. In conclusion, pyroptosis-related genes may play a critical role in LUAD, and provide new insights into the underlying mechanisms of LUAD.
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Affiliation(s)
- Le-Ping Liu
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Lu Lu
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Qiang-Qiang Zhao
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Qin-Jie Kou
- Department of Laboratory Medicine, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Zhen-Zhen Jiang
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Rong Gui
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Yan-Wei Luo
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China
| | - Qin-Yu Zhao
- Department of Blood Transfusion, The Third Xiangya Hospital of Central South University, Changsha, China.,College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia
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