Vesicle docking involved in exocytosis

pathway activity — cross-omics
GO:0006904Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Vesicle docking involved in exocytosis 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 EIF3F, PLEKHA6, and ALCAM, each associated with the pathway in up to 5 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, Vesicle docking involved in exocytosis activity versus EIF3F in GBM (Pearson r = -0.34).

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
GBMEIF3F →-0.155-0.056<.001<.00135
BRCAPLEKHA6 →+0.557+0.033.001.00135
OVALCAM →+1.384+0.061.004.00534
BRCAEXOC8 →+0.276+0.048<.001<.00134
BRCAPGPEP1 →+0.362+0.026<.001<.00134
LUADRAB14 →+0.229+0.039<.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0006904 vs EIF3F — GBM

Per-sample scatter of Vesicle docking involved in exocytosis activity vs EIF3F in GBM.

Explore this scatter interactively →

Exploration