Cardiac cell fate commitment

pathway activity — cross-omics
GO:0060911Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Cardiac cell fate commitment pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Lymphoma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are ACVR1, CFAP73, and RHPN1, each associated with the pathway in up to 13 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, Cardiac cell fate commitment activity versus ACVR1 in BLOOD_Lymphoma (Pearson r = 0.72).

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
BLOOD_LymphomaACVR1 →+1.941+1.014<.001<.001313
BLOOD_LymphomaCFAP73 →-1.072-0.826<.001<.00137
LUNG_NSCLC_LUSCRHPN1 →-1.822-1.217.005.00228
BLOOD_LymphomaANXA4 →+1.866+0.691<.001.00336
BLOOD_LymphomaCCDC69 →-2.732-0.902<.001<.00136
BREASTC19orf81 →-0.826-1.089.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0060911 vs ACVR1 — BLOOD_Lymphoma

Per-sample scatter of Cardiac cell fate commitment activity vs ACVR1 in BLOOD_Lymphoma.

Explore this scatter interactively →

Exploration