PPP2R2B

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

Across TCGA patient cohorts, PPP2R2B protein abundance is significantly associated with the RNA expression of many other genes, with 1,575 significant associations in total. GBM shows the largest number of these associations.

The most reproducible PPP2R2B-associated genes across cancer lineages are PRODH, SEZ6L, and RASL10A. Each is linked with PPP2R2B in more than 1 cancer types. Because this analysis shows association rather than direction, both PPP2R2B-to-partner and partner-to-PPP2R2B results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, PPP2R2B versus PRODH in GBM, with a Pearson correlation of 0.34.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (PPP2R2B→partner) and Y-score (partner→PPP2R2B) 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
GBMPRODH →+0.902+0.373.001.00231
GBMSEZ6L →+1.852+0.401.001.00231
GBMRASL10A →+0.834+0.389.004<.00131
GBMCBX7 →+0.498+0.322<.001<.00131
GBMSYNGR1 →+1.107+0.375<.001<.00131
GBMTAB1 →+0.374+0.325.006.00231
Each partner links to its Q-omics profile. Showing the 6 strongest of 1,575 associations by consensus.

PPP2R2B vs PRODH — GBM

Per-sample scatter of PPP2R2B vs PRODH in GBM (Pearson r = 0.34).

Explore this scatter interactively →

Exploration