GCG

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

Across TCGA patient cohorts, GCG protein abundance is significantly associated with the RNA expression of many other genes, with 9,228 significant associations in total. PDAC shows the largest number of these associations.

The most reproducible GCG-associated genes across cancer lineages are CHGA, NR0B1, and VSTM2A. Each is linked with GCG in more than 1 cancer types. Because this analysis shows association rather than direction, both GCG-to-partner and partner-to-GCG results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, GCG versus CHGA in PDAC, with a Pearson correlation of 0.71.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (GCG→partner) and Y-score (partner→GCG) 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
PDACCHGA →+2.030+1.463<.001<.00132
PDACNR0B1 →+0.349+0.785<.001<.00132
PDACVSTM2A →+0.251+1.323<.001<.00132
PDACIMMTP1 →+0.154+0.828.001.00932
PDACFGF14-IT1 →+0.467+1.020<.001<.00132
COADRSPO4 →+0.319+0.628.004<.00131
Each partner links to its Q-omics profile. Showing the 6 strongest of 9,228 associations by consensus.

GCG vs CHGA — PDAC

Per-sample scatter of GCG vs CHGA in PDAC (Pearson r = 0.71).

Explore this scatter interactively →

Exploration