Regulation of saliva secretion

pathway activity — cross-omics
GO:0046877Cross-omicsRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of saliva secretion pathway is significantly associated with the shRNA dependency 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 EZH2, AGFG2, and PPP1R16B, 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 box plot shows the strongest association, EZH2 grouped by Regulation of saliva secretion-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_SCLCEZH2 →-0.280-1.300.006.00134
BREASTAGFG2 →-0.181-0.583.005.00334
SOFT_TISSUEPPP1R16B →-0.337-2.316.002<.00134
SOFT_TISSUETCTE1 →-0.234-1.738<.001.00833
OVARYSLC16A13 →-0.346-1.418<.001<.00133
UPPER_AERODIGESTIVE_TRACTHCCS →-0.290-0.262.009.00624
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

EZH2 by Regulation of saliva secretion activity — LUNG_SCLC

Box plot of EZH2 in Regulation of saliva secretion-low vs -high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration