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SETD2 Loss Creates A Permissive Epigenetic Landscape that Promotes Kidney Cancer Metastasis and Engenders Therapeutic Vulnerabilities

UID: 10931

Author(s): Xie, Yuchen*, Sahin, Merve*, Cheng, Emily H.* * MSK affiliated

Description
Summary from GEO:

"SETD2, a H3K36 trimethyltransferase, is frequently mutated in human cancers with the highest prevalence (13%) in clear cell renal cell carcinoma (ccRCC). Genomic profiling of primary ccRCC tumors reveals a positive correlation between SETD2 mutations and metastasis. However, whether and how SETD2-loss promotes metastasis remains unclear. Here, we detected SETD2 mutations in 24 of 51 (47%) metastatic ccRCC tumors. Using SETD2-mutant metastatic ccRCC patient-derived cell line and xenograft models, we showed that H3K36me3 restoration greatly reduced distant metastases of ccRCC in mice. An integrated ATAC-seq, ChIP-seq, and transcriptome analysis concluded a tumor suppressor model in which loss of SETD2-mediated H3K36me3 activates enhancers to drive oncogenic transcription through dysregulating histone chaperone recruitment, enhancing histone exchange, and expanding chromatin accessibility. Furthermore, we uncovered mechanism-based therapeutic strategies for SETD2-deficient cancer through inhibition of histone chaperones. Overall, SETD2-loss creates a permissive epigenetic landscape for cooperating oncogenic drivers to amplify transcriptional output, providing unique therapeutic opportunities."

Overall design: Refer to individual data subseries in GEO
Subject of Study
Subject(s)
OncoTree Cancer Type(s)
Renal Clear Cell Carcinoma
Access via GEO


Accession #: GSE146583

Access via BioProject


Accession #: PRJNA610874

Access Restrictions
Free to All
Access Instructions
The NCBI Gene Expression Omnibus and BioProject databases provide open access to these files.
Associated Publications
Equipment Used
Illumina HiSeq 2500
Illumina HiSeq 4000
Dataset Format(s)
TAR, TXT, BW
Dataset Size
15.1 GB
Data Catalog Record Updated
2023-10-12