RBM23

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

Across TCGA patient cohorts, RBM23 protein abundance is significantly associated with the RNA expression of many other genes, with 5,922 significant associations in total. LSCC shows the largest number of these associations.

The most reproducible RBM23-associated genes across cancer lineages are GEMIN2, POLE2, and VCPKMT. Each is linked with RBM23 in more than 3 cancer types. Because this analysis shows association rather than direction, both RBM23-to-partner and partner-to-RBM23 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, RBM23 versus GEMIN2 in GBM, with a Pearson correlation of 0.58.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (RBM23→partner) and Y-score (partner→RBM23) 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
GBMGEMIN2 →+0.509+0.479<.001<.00134
HNSCPOLE2 →+0.733+0.520.001.00133
HNSCVCPKMT →+0.644+0.345.001.00933
OVCDKN3 →+0.899+0.259<.001.00233
OVC1QBP →+0.575+0.402.006.00133
LSCCCFAP20DC →+0.758+0.288<.001.00633
Each partner links to its Q-omics profile. Showing the 6 strongest of 5,922 associations by consensus.

RBM23 vs GEMIN2 — GBM

Per-sample scatter of RBM23 vs GEMIN2 in GBM (Pearson r = 0.58).

Explore this scatter interactively →

Exploration