Regulation of cell fate commitment

pathway activity — cross-omics
GO:0010453Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of cell fate commitment 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 FBL, SINHCAF, and ZCCHC24, each associated with the pathway in up to 5 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, Regulation of cell fate commitment activity versus FBL in LSCC (Pearson r = 0.29).

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
LSCCFBL →+0.620+0.371<.001<.00135
GBMSINHCAF →+0.659+0.277.001.00435
UCECZCCHC24 →-0.609-0.197.006.00435
OVSNRPE →+0.461+0.631.001.00235
GBMTLR7 →-0.956-0.322<.001.00235
UCECRBM28 →+0.427+0.282<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0010453 vs FBL — LSCC

Per-sample scatter of Regulation of cell fate commitment activity vs FBL in LSCC.

Explore this scatter interactively →

Exploration