SPHK1

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

Across TCGA patient cohorts, SPHK1 mutation is significantly associated with the RNA expression of many other genes, with 474 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible SPHK1-associated genes across cancer lineages are CYP4F36P, RNU4-58P, and MIR920. Each is linked with SPHK1 in more than 1 cancer types. Because this analysis shows association rather than direction, both SPHK1-to-partner and partner-to-SPHK1 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, CYP4F36P grouped by SPHK1-low versus SPHK1-high in STAD.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SPHK1→partner) and Y-score (partner→SPHK1) 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
STADCYP4F36P →+0.403+3.342.001.00732
UCECRNU4-58P →+0.193+2.433.002.00932
CESCMIR920 →+0.438+5.539<.001.00431
CESCRNA5SP294 →+0.450+5.103<.001.00831
CESCLINC00708 →+0.042+5.418.001.00531
SKCMRN7SL107P →+0.213+5.771<.001.00331
Each partner links to its Q-omics profile. Showing the 6 strongest of 474 associations by consensus.

CYP4F36P by SPHK1 expression — STAD

Box plot of CYP4F36P in SPHK1-low vs SPHK1-high samples in STAD.

Explore this box plot interactively →

Exploration