GC

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

Across TCGA patient cohorts, GC protein abundance is significantly associated with the RNA expression of many other genes, with 13,984 significant associations in total. BRCA shows the largest number of these associations.

The most reproducible GC-associated genes across cancer lineages are DIPK2B, MMP19, and CD93. Each is linked with GC in more than 7 cancer types. Because this analysis shows association rather than direction, both GC-to-partner and partner-to-GC results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, GC versus DIPK2B in BRCA, with a Pearson correlation of 0.66.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (GC→partner) and Y-score (partner→GC) 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
BRCADIPK2B →+0.872+0.727<.001<.00138
OVMMP19 →+1.117+0.627<.001.00137
GBMCD93 →+0.972+0.786<.001<.00137
BRCAGNG11 →+0.937+0.690<.001<.00137
OVNGF →+0.831+0.796.001<.00137
COADVEGFC →+0.967+0.982<.001<.00137
Each partner links to its Q-omics profile. Showing the 6 strongest of 13,984 associations by consensus.

GC vs DIPK2B — BRCA

Per-sample scatter of GC vs DIPK2B in BRCA (Pearson r = 0.66).

Explore this scatter interactively →

Exploration