SEC23A

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

Across TCGA patient cohorts, SEC23A protein abundance is significantly associated with the RNA expression of many other genes, with 16,539 significant associations in total. LSCC shows the largest number of these associations.

The most reproducible SEC23A-associated genes across cancer lineages are COL1A1, COL12A1, and COL5A1. Each is linked with SEC23A in more than 9 cancer types. Because this analysis shows association rather than direction, both SEC23A-to-partner and partner-to-SEC23A results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SEC23A versus COL1A1 in OV, with a Pearson correlation of 0.66.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SEC23A→partner) and Y-score (partner→SEC23A) 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
OVCOL1A1 →+2.286+0.369<.001<.001310
LUADCOL12A1 →+1.592+0.288<.001<.001310
GBMCOL5A1 →+1.875+0.287<.001<.001310
GBMCOL6A3 →+1.806+0.236<.001.001310
OVADAMTS2 →+1.387+0.368<.001<.001310
OVPCOLCE →+1.173+0.369<.001<.00139
Each partner links to its Q-omics profile. Showing the 6 strongest of 16,539 associations by consensus.

SEC23A vs COL1A1 — OV

Per-sample scatter of SEC23A vs COL1A1 in OV (Pearson r = 0.66).

Explore this scatter interactively →

Exploration