Negative regulation of cell killing

pathway activity — cross-omics
GO:0031342Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

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

The most reproducible pathway-associated proteins across cancer lineages are SERPINB9, WIPF1, and COTL1, 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 cell killing activity versus SERPINB9 in OV (Pearson r = 0.37).

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
OVSERPINB9 →+0.483+0.073<.001<.001310
OVWIPF1 →+0.587+0.102<.001<.001310
OVCOTL1 →+0.631+0.076<.001<.001310
GBMDOCK2 →+0.733+0.121<.001<.001310
GBMAIF1 →+0.949+0.123<.001<.001310
OVFERMT3 →+0.609+0.092<.001<.001310
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0031342 vs SERPINB9 — OV

Per-sample scatter of Negative regulation of cell killing activity vs SERPINB9 in OV.

Explore this scatter interactively →

Exploration