Negative regulation of skeletal muscle cell differentiation

pathway activity — cross-omics
GO:2001015Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of skeletal muscle cell differentiation pathway is significantly associated with the RNA expression of multiple genes, with the HNSC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are SIX4, ABLIM3, and MNAT1, 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, Negative regulation of skeletal muscle cell differentiation activity versus SIX4 in HNSC (Pearson r = 0.09).

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
HNSCSIX4 →+1.698+0.374.001.00634
UCECABLIM3 →-0.537-0.457.002<.00133
LSCCMNAT1 →+0.603+0.300<.001<.00133
BRCAAGAP1 →-0.597-0.171.008.00833
OVLINC01589 →-0.671-0.264.005.00333
GBMRPL34P3 →+0.175+0.167.007.00833
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:2001015 vs SIX4 — HNSC

Per-sample scatter of Negative regulation of skeletal muscle cell differentiation activity vs SIX4 in HNSC.

Explore this scatter interactively →

Exploration