Sphingolipid catabolic process

pathway activity — cross-omics
GO:0030149Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Sphingolipid catabolic process pathway is significantly associated with the RNA expression of multiple genes, with the LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are SEPHS2, ULK4, and ZNF593, each associated with the pathway in up to 6 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 box plot shows the strongest association, SEPHS2 grouped by Sphingolipid catabolic process-low versus -high activity in LUNG_SCLC.

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
LUNG_SCLCSEPHS2 →-0.811-1.055.002.00136
BLOOD_MyelomaULK4 →-1.225-1.431.006.00334
LUNG_SCLCZNF593 →-0.733-1.231.004<.00134
LUNG_SCLCFAM193B →+0.699+1.080.004.00825
KIDNEYSLC7A6OS →-0.636-1.450<.001.00134
KIDNEYACAA1 →-0.787-1.314<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

SEPHS2 by Sphingolipid catabolic process activity — LUNG_SCLC

Box plot of SEPHS2 in Sphingolipid catabolic process-low vs -high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration