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Multiomics characterization and verification of clear cell renal cell carcinoma molecular subtypes to guide precise chemotherapy and immunotherapy
Meng, Jialin1; Jiang, Aimin2; Lu, Xiaofan3; Gu, Di2; Ge, Qintao1; Bai, Suwen4; Zhou, Yundong5; Zhou, Jun1; Hao, Zongyao1; Yan, Fangrong6; Wang, Linhui2; Wang, Haitao7; Du, Juan4; Liang, Chaozhao1
2023-11-01
Source PublicationiMeta
ISSN2770-5986
Volume2Issue:4Pages:e147
Abstract

Clear cell renal cell carcinoma (ccRCC) is a heterogeneous tumor with different genetic and molecular alterations. Schemes for ccRCC classification system based on multiomics are urgent, to promote further biological insights. Two hundred and fifty-five ccRCC patients with paired data of clinical information, transcriptome expression profiles, copy number alterations, DNA methylation, and somatic mutations were collected for identification. Bioinformatic analyses were performed based on our team's recently developed R package “MOVICS.” With 10 state-of-the-art algorithms, we identified the multiomics subtypes (MoSs) for ccRCC patients. MoS1 is an immune exhausted subtype, presented the poorest prognosis, and might be caused by an exhausted immune microenvironment, activated hypoxia features, but can benefit from PI3K/AKT inhibitors. MoS2 is an immune “cold” subtype, which represented more mutation of VHL and PBRM1, favorable prognosis, and is more suitable for sunitinib therapy. MoS3 is the immune “hot” subtype, and can benefit from the anti-PD-1 immunotherapy. We successfully verified the different molecular features of the three MoSs in external cohorts GSE22541, GSE40435, and GSE53573. Patients that received Nivolumab therapy helped us to confirm that MoS3 is suitable for anti-PD-1 therapy. E-MTAB-3267 cohort also supported the fact that MoS2 patients can respond more to sunitinib treatment. We also confirm that SETD2 is a tumor suppressor in ccRCC, along with the decreased SETD2 protein level in advanced tumor stage, and knock-down of SETD2 leads to the promotion of cell proliferation, migration, and invasion. In summary, we provide novel insights into ccRCC molecular subtypes based on robust clustering algorithms via multiomics data, and encourage future precise treatment of ccRCC patients.

Other Abstract

Highlights

Three molecular subtypes of ccRCC based on multiomics data wereidentified, with diverse overall survival time, and validated in externalcohorts.

MoS1 is an immune exhausted subtype, which can benefit from PI3K/AKTinhibitors; MoS2 is an immune“cold”subtype, but is more suitable forsunitinib therapy; MoS3 is an immune“hot”subtype, which can benefitfrom anti‐PD‐1 immunotherapy.

SETD2 is a tumor suppressor in ccRCC, and knock‐down of SETD2 leads tothe promotion of cell proliferation, migration, and invasion.

KeywordClear Cell Renal Cell Carcinoma Immune Activation Molecular Subtyping Multiomics
DOI10.1002/imt2.147
URLView the original
Indexed ByESCI
Language英語English
WOS Research AreaMicrobiology
WOS SubjectMicrobiology
WOS IDWOS:001110938200006
PublisherWILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USA
Scopus ID2-s2.0-85176912952
Fulltext Access
Citation statistics
Document TypeJournal article
CollectionFaculty of Health Sciences
Cancer Centre
Corresponding AuthorMeng, Jialin; Liang, Chaozhao
Affiliation1.Department of Urology, The First Affiliated Hospital of Anhui Medical University, Institute of Urology, Anhui Medical University, Anhui Province Key Laboratory of Genitourinary Diseases, Anhui Medical University, Hefei, China
2.Department of Urology, Changhai Hospital, Naval Medical University (Second Military Medical University), Shanghai, China
3.Department of Cancer and Functional Genomics, Institute of Genetics and Molecular and Cellular Biology, CNRS/INSERM/UNISTRA, Illkirch, France
4.The Second Affiliated Hospital, School of Medicine, The Chinese University of Hong Kong, Shenzhen & Longgang District People's Hospital of Shenzhen, Shenzhen, China
5.Department of Surgery, Ningbo Medical Center Lihuili Hospital, Ningbo University, Ningbo, Zhejiang, China
6.Research Center of Biostatistics and Computational Pharmacy, China Pharmaceutical University, Nanjing, China
7.Cancer Center, Faculty of Health Sciences, University of Macau, SAR, Macao
Recommended Citation
GB/T 7714
Meng, Jialin,Jiang, Aimin,Lu, Xiaofan,et al. Multiomics characterization and verification of clear cell renal cell carcinoma molecular subtypes to guide precise chemotherapy and immunotherapy[J]. iMeta, 2023, 2(4), e147.
APA Meng, Jialin., Jiang, Aimin., Lu, Xiaofan., Gu, Di., Ge, Qintao., Bai, Suwen., Zhou, Yundong., Zhou, Jun., Hao, Zongyao., Yan, Fangrong., Wang, Linhui., Wang, Haitao., Du, Juan., & Liang, Chaozhao (2023). Multiomics characterization and verification of clear cell renal cell carcinoma molecular subtypes to guide precise chemotherapy and immunotherapy. iMeta, 2(4), e147.
MLA Meng, Jialin,et al."Multiomics characterization and verification of clear cell renal cell carcinoma molecular subtypes to guide precise chemotherapy and immunotherapy".iMeta 2.4(2023):e147.
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