Skeletal muscle atrophy

pathway activity — cross-omics
GO:0014732Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Skeletal muscle atrophy pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Leukemia cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are EIF4E3, RAB11FIP4, and PDCD6, 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, EIF4E3 grouped by Skeletal muscle atrophy-low versus -high activity in BLOOD_Leukemia.

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_LeukemiaEIF4E3 →-2.084-1.339.001.00134
CNSRAB11FIP4 →-1.632-0.746<.001.00334
OESOPHAGUSPDCD6 →+0.741+0.352.004.00434
LUNG_SCLCIL13RA1 →+3.315+1.352.002.00233
LUNG_SCLCNONO →-0.658-1.532.006.00633
BLOOD_LeukemiaINSR →-2.678-1.815<.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

EIF4E3 by Skeletal muscle atrophy activity — BLOOD_Leukemia

Box plot of EIF4E3 in Skeletal muscle atrophy-low vs -high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration