Positive regulation of skeletal muscle tissue growth

pathway activity — cross-omics
GO:0048633Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Positive regulation of skeletal muscle tissue growth pathway is significantly associated with the RNA expression of multiple genes, with the OV cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are VPS13C, PCF11, and AGAP12P, 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, Positive regulation of skeletal muscle tissue growth activity versus VPS13C in OV (Pearson r = -0.03).

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
OVVPS13C →+0.676+0.510.007.00434
PDACPCF11 →+0.333+0.619<.001.00533
HNSCAGAP12P →+0.507+0.736.007.00133
HNSCSLC24A1 →+0.447+0.868.004<.00124
LSCCNPM1P14 →-0.105-0.538.005.00333
LSCCLIPE-AS1 →-0.259-0.644.002.00933
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0048633 vs VPS13C — OV

Per-sample scatter of Positive regulation of skeletal muscle tissue growth activity vs VPS13C in OV.

Explore this scatter interactively →

Exploration