PRCC

mutation — cross-omics
Cross-omicsMUTATION → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, PRCC mutation is significantly associated with the RNA expression of many other genes, with 286 significant associations in total. SKCM shows the largest number of these associations.

The most reproducible PRCC-associated genes across cancer lineages are YPEL5P1, PPP1R26P3, and TUBAP1. Each is linked with PRCC in more than 1 cancer types. Because this analysis shows association rather than direction, both PRCC-to-partner and partner-to-PRCC results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, YPEL5P1 grouped by PRCC-low versus PRCC-high in COAD.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (PRCC→partner) and Y-score (partner→PRCC) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
COADYPEL5P1 →+0.140+4.893<.001.00532
BLCAPPP1R26P3 →+0.008+4.122<.001.00832
UCECTUBAP1 →+0.078+2.185.006.00632
UCECRALBP1P2 →+0.147+2.372.003.00332
UCECACSL1 →+0.866+3.201.001.00932
BLCAARL2BPP4 →+0.061+3.495.006.00632
Each partner links to its Q-omics profile. Showing the 6 strongest of 286 associations by consensus.

YPEL5P1 by PRCC expression — COAD

Box plot of YPEL5P1 in PRCC-low vs PRCC-high samples in COAD.

Explore this box plot interactively →

Exploration