Regulation of cell fate specification

pathway activity — cross-omics
GO:0042659Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Regulation of cell fate specification pathway is significantly associated with the RNA expression of multiple genes, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are LILRA1, APBB1IP, and CCNB1IP1, each associated with the pathway in up to 6 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 specification activity versus LILRA1 in GBM (Pearson r = -0.30).

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
GBMLILRA1 →-0.781-0.365<.001<.00136
GBMAPBB1IP →-1.156-0.387<.001<.00136
LSCCCCNB1IP1 →+0.627+0.196<.001<.00135
LSCCFBL →+0.685+0.337<.001<.00135
LSCCMS4A6A →-0.488-0.137<.001.00935
LSCCVDR →-0.641-0.299<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0042659 vs LILRA1 — GBM

Per-sample scatter of Regulation of cell fate specification activity vs LILRA1 in GBM.

Explore this scatter interactively →

Exploration