Cardiac conduction

pathway activity — cross-omics
GO:0061337Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are MMS19, USP34, and TULP3, 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 box plot shows the strongest association, MMS19 grouped by Cardiac conduction-low versus -high activity in LUNG_SCLC.

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
LUNG_SCLCMMS19 →+0.803+1.173<.001<.00134
CNSUSP34 →+0.424+0.856.003.00334
CNSTULP3 →+0.478+0.727.003.00634
STOMACHMRPL19 →+0.891+1.250<.001<.00133
BLOOD_LeukemiaZC3H10 →+0.451+0.858.001.00233
LUNG_SCLCPCGF6 →+0.921+1.184.002<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

MMS19 by Cardiac conduction activity — LUNG_SCLC

Box plot of MMS19 in Cardiac conduction-low vs -high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration