Positive regulation of myoblast fusion

pathway activity — cross-omics
GO:1901741Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Positive regulation of myoblast fusion pathway is significantly associated with the RNA expression of multiple genes, with the LSCC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are DOCK10, SIT1, and GPR174, 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, Positive regulation of myoblast fusion activity versus DOCK10 in LSCC (Pearson r = 0.34).

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
LSCCDOCK10 →+0.648+0.231<.001<.00136
CCRCCSIT1 →+0.839+0.170<.001<.00136
HNSCGPR174 →+1.128+0.269<.001<.00136
HNSCCCDC141 →+0.804+0.269<.001<.00136
HNSCTHEMIS →+0.932+0.240<.001.00236
HNSCDTHD1 →+0.942+0.226<.001.00236
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:1901741 vs DOCK10 — LSCC

Per-sample scatter of Positive regulation of myoblast fusion activity vs DOCK10 in LSCC.

Explore this scatter interactively →

Exploration