ARHGAP33

protein abundance — cross-omics
Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, ARHGAP33 protein abundance is significantly associated with the RNA expression of many other genes, with 7,723 significant associations in total. GBM shows the largest number of these associations.

The most reproducible ARHGAP33-associated genes across cancer lineages are SPECC1L, PPIL2, and YPEL1. Each is linked with ARHGAP33 in more than 1 cancer types. Because this analysis shows association rather than direction, both ARHGAP33-to-partner and partner-to-ARHGAP33 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, ARHGAP33 versus SPECC1L in GBM, with a Pearson correlation of 0.47.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (ARHGAP33→partner) and Y-score (partner→ARHGAP33) 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
GBMSPECC1L →+0.340+0.559<.001<.00131
GBMPPIL2 →+0.276+0.402<.001.00131
GBMYPEL1 →+0.722+0.741<.001<.00131
GBMSNRPD3 →+0.406+0.511<.001<.00131
GBMPES1 →+0.307+0.600.002<.00131
GBMMAPK1 →+0.338+0.431<.001<.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 7,723 associations by consensus.

ARHGAP33 vs SPECC1L — GBM

Per-sample scatter of ARHGAP33 vs SPECC1L in GBM (Pearson r = 0.47).

Explore this scatter interactively →

Exploration