SEC23IP

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

Across TCGA patient cohorts, SEC23IP protein abundance is significantly associated with the RNA expression of many other genes, with 20,934 significant associations in total. GBM shows the largest number of these associations.

The most reproducible SEC23IP-associated genes across cancer lineages are EXOSC2, TEX10, and CEP78. Each is linked with SEC23IP in more than 5 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 EXOSC2 in HNSC, with a Pearson correlation of -0.35.

protein abundance associated genes 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 geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
HNSCEXOSC2 →-0.844-0.175<.001.00136
LSCCTEX10 →-0.774-0.324<.001<.00136
LSCCCEP78 →-0.989-0.326<.001<.00136
BRCARIF1 →-0.495-0.238.005.00136
LSCCABHD17B →-0.570-0.220<.001<.00135
OVRABGAP1 →-0.667-0.347<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest of 20,934 associations by consensus.

SEC23IP vs EXOSC2 — HNSC

Per-sample scatter of SEC23IP vs EXOSC2 in HNSC (Pearson r = -0.35).

Explore this scatter interactively →

Exploration