Unknown

Dataset Information

0

Molecular analysis of aggressive renal cell carcinoma with unclassified histology reveals distinct subsets.


ABSTRACT: Renal cell carcinomas with unclassified histology (uRCC) constitute a significant portion of aggressive non-clear cell renal cell carcinomas that have no standard therapy. The oncogenic drivers in these tumours are unknown. Here we perform a molecular analysis of 62 high-grade primary uRCC, incorporating targeted cancer gene sequencing, RNA sequencing, single-nucleotide polymorphism array, fluorescence in situ hybridization, immunohistochemistry and cell-based assays. We identify recurrent somatic mutations in 29 genes, including NF2 (18%), SETD2 (18%), BAP1 (13%), KMT2C (10%) and MTOR (8%). Integrated analysis reveals a subset of 26% uRCC characterized by NF2 loss, dysregulated Hippo-YAP pathway and worse survival, whereas 21% uRCC with mutations of MTOR, TSC1, TSC2 or PTEN and hyperactive mTORC1 signalling are associated with better clinical outcome. FH deficiency (6%), chromatin/DNA damage regulator mutations (21%) and ALK translocation (2%) distinguish additional cases. Altogether, this study reveals distinct molecular subsets for 76% of our uRCC cohort, which could have diagnostic and therapeutic implications.

SUBMITTER: Chen YB 

PROVIDER: S-EPMC5059781 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications


Renal cell carcinomas with unclassified histology (uRCC) constitute a significant portion of aggressive non-clear cell renal cell carcinomas that have no standard therapy. The oncogenic drivers in these tumours are unknown. Here we perform a molecular analysis of 62 high-grade primary uRCC, incorporating targeted cancer gene sequencing, RNA sequencing, single-nucleotide polymorphism array, fluorescence in situ hybridization, immunohistochemistry and cell-based assays. We identify recurrent somat  ...[more]

Similar Datasets

2016-10-11 | GSE85971 | GEO
| S-EPMC6248403 | biostudies-literature
2016-10-11 | GSE85897 | GEO
| S-EPMC8065300 | biostudies-literature
| PRJNA339856 | ENA
| S-EPMC2943630 | biostudies-literature
2016-10-11 | GSE85970 | GEO
2010-02-17 | GSE16449 | GEO
| S-EPMC8803323 | biostudies-literature
| S-EPMC6434066 | biostudies-literature