Negative regulation of sphingolipid biosynthetic process

pathway activity — cross-omics
GO:0090155Cross-omicsPROTEIN-MS → PROTEIN-MSPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated proteins across cancer lineages are SETD2_S614, SRPK1_S51, and TNS2_T91, each associated with the pathway in up to 4 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 SETD2_S614 in COAD (Pearson r = 0.40).

Pathway-associated proteins 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 proteinX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
COADSETD2_S614 →+1.015+1.014<.001<.00134
OVSRPK1_S51 →-1.068-0.704<.001<.00134
COADTNS2_T91 →+0.864+0.722.001.00533
OVAAGAB_S311 →-1.239-2.050.001<.00133
OVPRKAA1_S486 →+0.836+0.701<.001<.00133
COADTLK2_S111 →-0.567-1.910<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0090155 vs SETD2_S614 — COAD

Per-sample scatter of Negative regulation of sphingolipid biosynthetic process activity vs SETD2_S614 in COAD.

Explore this scatter interactively →

Exploration