SELENOW

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

Across TCGA patient cohorts, SELENOW protein abundance is significantly associated with the RNA expression of many other genes, with 7,857 significant associations in total. LSCC shows the largest number of these associations.

The most reproducible SELENOW-associated genes across cancer lineages are SGCA, ESPL1, and PKNOX2. Each is linked with SELENOW in more than 4 cancer types. Because this analysis shows association rather than direction, both SELENOW-to-partner and partner-to-SELENOW results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SELENOW versus SGCA in HNSC, with a Pearson correlation of 0.34.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SELENOW→partner) and Y-score (partner→SELENOW) 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
HNSCSGCA →+1.119+0.387<.001<.00135
COADESPL1 →-0.618-0.624.001<.00135
OVPKNOX2 →+0.736+0.504<.001<.00134
OVMYLK →+1.091+0.384<.001.00534
CCRCCCBX7 →+0.445+0.272<.001.00734
HNSCCASQ2 →+2.112+0.565<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest of 7,857 associations by consensus.

SELENOW vs SGCA — HNSC

Per-sample scatter of SELENOW vs SGCA in HNSC (Pearson r = 0.34).

Explore this scatter interactively →

Exploration