Regulation of skeletal muscle adaptation

pathway activity — cross-omics
GO:0014733Cross-omicsRNA → PROTEIN-MSPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of skeletal muscle adaptation 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 CAMK2G, ARHGAP15_S64, and GPR108, each associated with the pathway in up to 7 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, Regulation of skeletal muscle adaptation activity versus CAMK2G in GBM (Pearson r = 0.39).

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
GBMCAMK2G →+0.379+0.099.002.00337
GBMARHGAP15_S64 →-0.493-0.089.003.00135
PDACGPR108 →-0.575-0.136<.001<.00135
BRCAFLNA_S1630 →+0.542+0.062.001<.00135
PDACHK1 →+0.221+0.062.001.00135
GBMTANC2 →+0.255+0.109.001<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0014733 vs CAMK2G — GBM

Per-sample scatter of Regulation of skeletal muscle adaptation activity vs CAMK2G in GBM.

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Exploration