Study

Molecular subsets in renal cancer determine outcome to checkpoint and angiogenesis blockade

Study ID Alternative Stable ID Type
EGAS00001004353 Other

Study Description

We conducted integrated multi-omics evaluation of 823 tumors from advanced renal cell carcinoma (RCC) patients and identified molecular subsets associated with differential clinical outcomes to angiogenesis blockade alone or with a checkpoint inhibitor. Unsupervised transcriptomic analysis revealed six molecular subsets with distinct angiogenesis, immune, cell cycle, metabolism, and stromal programs. While sunitinib was effective in subsets with high angiogenesis, atezolizumab+bevacizumab improved clinical benefit in tumors with high T-effector and/or cell cycle transcription. Somatic mutations in PBRM1 and KDM5C associated with high angiogenesis and AMPK/Fatty acid oxidation gene expression, while CDKN2A/B and TP53 alterations were more prevalent in tumors with increased cell cycle and anabolic metabolism. Sarcomatoid tumors exhibited low prevalence of PBRM1 mutations and angiogenesis markers, frequent CDKN2A/B, BAP1 and TP53 alterations, and increased PD-L1 expression. These findings can be applied to molecularly stratify advanced RCC patients, explain improved outcomes of ... (Show More)

Study Datasets 4 datasets.

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID Description Technology Samples
EGAD00001006616
This dataset contains somatic alteration calls summarized at the gene level for 715 patients profiled by FoundationOne (Foundation Medicine).
1538
EGAD00001006617
This dataset contains demographic, histology, PDL1 IHC, TMB and outcome data (PFS and ORR) for 836 patients, 823 of which had RNAseq, 715 had FMI, with 702 patients having both. The dataset also includes xCell deconvolution scores for patients with RNAseq data.
1538
EGAD00001006618
This dataset contains log2(TPM + 1) transformed counts for the 823 tumor samples profiled by RNAseq.
1538
EGAD00001006619
This dataset contains FASTq files for tumors from the 823 patients profiled by RNAseq.
Illumina HiSeq 4000 823

Who archives the data?

There are no publications available