SEC23IP

RNA expression — cross-omics
Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, SEC23IP RNA expression is significantly associated with the protein abundance of many other proteins, with 11,250 significant associations in total. BRCA shows the largest number of these associations.

The most reproducible SEC23IP-associated proteins across cancer lineages are GLRX3, TRUB1, and SHTN1. Each is linked with SEC23IP in more than 4 cancer types. Because this analysis shows association rather than direction, both SEC23IP-to-partner and partner-to-SEC23IP results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SEC23IP versus GLRX3 in LSCC, with a Pearson correlation of 0.39.

RNA expression associated proteins by consensus

Ranked by combined sampling and lineage consensus. X-score (SEC23IP→partner) and Y-score (partner→SEC23IP) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LSCCGLRX3 →+0.387+0.394<.001.00135
LSCCTRUB1 →+0.351+0.407<.001<.00135
UCECSHTN1 →+0.456+0.348<.001.00135
BRCASEC24C →+0.192+0.459.001<.00135
LUADIDE →+0.239+0.274.002.00135
BRCAATE1 →+0.253+0.472<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest of 11,250 associations by consensus.

SEC23IP vs GLRX3 — LSCC

Per-sample scatter of SEC23IP vs GLRX3 in LSCC (Pearson r = 0.39).

Explore this scatter interactively →

Exploration