Negative regulation of response to tumor cell

pathway activity — cross-omics
GO:0002835Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of response to tumor cell pathway is significantly associated with the protein abundance of multiple proteins, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated proteins across cancer lineages are SKAP2, SASH3, and SAMSN1_S23, each associated with the pathway in up to 10 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 response to tumor cell activity versus SKAP2 in GBM (Pearson r = 0.61).

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
GBMSKAP2 →+0.804+0.123<.001<.001310
UCECSASH3 →+0.596+0.123<.001<.001310
GBMSAMSN1_S23 →+0.737+0.123<.001<.001310
OVTHEMIS2_T593 →+1.053+0.118.001<.001310
GBMAIF1 →+0.888+0.125<.001<.001310
GBMFERMT3 →+0.706+0.119<.001<.001310
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0002835 vs SKAP2 — GBM

Per-sample scatter of Negative regulation of response to tumor cell activity vs SKAP2 in GBM.

Explore this scatter interactively →

Exploration