Negative regulation of sphingolipid biosynthetic process

pathway activity — cross-omics
GO:0090155Cross-omicsRNA → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of sphingolipid biosynthetic process pathway is significantly associated with the RNA expression of multiple genes, with the HNSC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are ABCA2, SPHK1, and SLC39A13, each associated with the pathway in up to 28 cancer types. Since the analysis shows associations rather than directional relationships, both pathway-to-partner and partner-to-pathway views are reported.

Each partner is linked to its corresponding Q-omics profile. The scatter plot shows the strongest association, Negative regulation of sphingolipid biosynthetic process activity versus ABCA2 in HNSC (Pearson r = 0.68).

Pathway-associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (pathway→partner) and Y-score (partner→pathway) are standardized regression coefficients; both directions are reported because the association is undirected. The reported p-values are derived from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
HNSCABCA2 →+1.106+0.073<.001<.001328
CHOLSPHK1 →+2.862+0.119<.001<.001325
LAMLSLC39A13 →+0.547+0.041<.001<.001324
KIRCCFLAR-AS1 →+0.328+0.037<.001<.001324
THYMARHGAP22 →+0.954+0.059<.001<.001323
PCPGFMNL1 →+0.919+0.035<.001<.001323
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0090155 vs ABCA2 — HNSC

Per-sample scatter of Negative regulation of sphingolipid biosynthetic process activity vs ABCA2 in HNSC.

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Exploration