SCGB1A1

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

Across TCGA patient cohorts, SCGB1A1 protein abundance is significantly associated with the RNA expression of many other genes, with 2,990 significant associations in total. LSCC shows the largest number of these associations.

The most reproducible SCGB1A1-associated genes across cancer lineages are NEK5, SLC44A4, and UBE2V1P13. Each is linked with SCGB1A1 in more than 2 cancer types. Because this analysis shows association rather than direction, both SCGB1A1-to-partner and partner-to-SCGB1A1 results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SCGB1A1 versus NEK5 in OV, with a Pearson correlation of 0.37.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SCGB1A1→partner) and Y-score (partner→SCGB1A1) 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
OVNEK5 →+1.119+1.834.004.00333
HNSCSLC44A4 →+1.205+1.225.005<.00133
LSCCUBE2V1P13 →-0.658-0.656<.001<.00133
BRCABCHE →+0.789+1.306.003.00332
BRCAKLHDC7A →+1.793+1.121.002.00432
LSCCLUNAR1 →-0.401-0.620<.001.00132
Each partner links to its Q-omics profile. Showing the 6 strongest of 2,990 associations by consensus.

SCGB1A1 vs NEK5 — OV

Per-sample scatter of SCGB1A1 vs NEK5 in OV (Pearson r = 0.37).

Explore this scatter interactively →

Exploration