SETX

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

Across TCGA patient cohorts, SETX protein abundance is significantly associated with the RNA expression of many other genes, with 14,868 significant associations in total. GBM shows the largest number of these associations.

The most reproducible SETX-associated genes across cancer lineages are GLE1, DDX31, and EXOSC2. Each is linked with SETX in more than 5 cancer types. Because this analysis shows association rather than direction, both SETX-to-partner and partner-to-SETX results are reported.

Each partner links to its own Q-omics profile. The scatter plot shows the strongest example, SETX versus GLE1 in HNSC, with a Pearson correlation of 0.40.

protein abundance associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETX→partner) and Y-score (partner→SETX) 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
HNSCGLE1 →+0.693+0.180<.001<.00136
HNSCDDX31 →+0.898+0.329<.001<.00136
HNSCEXOSC2 →+0.799+0.227<.001<.00136
HNSCREXO4 →+0.776+0.222.001<.00136
HNSCSET →+0.596+0.177.001<.00135
OVTTF1 →+0.547+0.268<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest of 14,868 associations by consensus.

SETX vs GLE1 — HNSC

Per-sample scatter of SETX vs GLE1 in HNSC (Pearson r = 0.40).

Explore this scatter interactively →

Exploration