PPP3CC

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

Across TCGA patient cohorts, PPP3CC mutation is significantly associated with the RNA expression of many other genes, with 1,176 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible PPP3CC-associated genes across cancer lineages are RNA5SP256, AGGF1P9, and RN7SL841P. Each is linked with PPP3CC in more than 1 cancer types. Because this analysis shows association rather than direction, both PPP3CC-to-partner and partner-to-PPP3CC results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNA5SP256 grouped by PPP3CC-low versus PPP3CC-high in BLCA.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (PPP3CC→partner) and Y-score (partner→PPP3CC) 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
BLCARNA5SP256 →+0.615+4.973<.001.00932
COADAGGF1P9 →+0.123+5.251<.001.00332
CESCRN7SL841P →+0.249+5.010<.001.00931
CESCANKRD49P3 →+0.080+5.103<.001.00831
CESCRNU7-20P →+0.625+5.306.001.00631
CESCJCHAINP1 →+0.542+5.010<.001.00931
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,176 associations by consensus.

RNA5SP256 by PPP3CC expression — BLCA

Box plot of RNA5SP256 in PPP3CC-low vs PPP3CC-high samples in BLCA.

Explore this box plot interactively →

Exploration