SEC14L3

mutation — cross-omics
Cross-omicsMUTATION → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, SEC14L3 mutation is significantly associated with the RNA expression of many other genes, with 284 significant associations in total. SKCM shows the largest number of these associations.

The most reproducible SEC14L3-associated genes across cancer lineages are RNA5SP369, SNORD105B, and MIR190B. Each is linked with SEC14L3 in more than 1 cancer types. Because this analysis shows association rather than direction, both SEC14L3-to-partner and partner-to-SEC14L3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, RNA5SP369 grouped by SEC14L3-low versus SEC14L3-high in CESC.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SEC14L3→partner) and Y-score (partner→SEC14L3) 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
CESCRNA5SP369 →+0.239+4.539.006.00832
SKCMSNORD105B →+0.173+2.007.001.00732
LUSCMIR190B →+0.407+4.393<.001.00832
LUSCUSP21P2 →+0.078+4.724<.001.00532
COADARPP19P2 →+0.162+3.246.009.00332
UCECTRAJ21 →+0.832+3.029<.001.00532
Each partner links to its Q-omics profile. Showing the 6 strongest of 284 associations by consensus.

RNA5SP369 by SEC14L3 expression — CESC

Box plot of RNA5SP369 in SEC14L3-low vs SEC14L3-high samples in CESC.

Explore this box plot interactively →

Exploration