Negative regulation of gliogenesis

pathway activity — cross-omics
GO:0014014Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of gliogenesis 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 FUT1, BICDL2, and CDC42BPG, each associated with the pathway in up to 7 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, FUT1 grouped by Negative regulation of gliogenesis-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_SCLCFUT1 →+2.327+1.346<.001<.00137
BREASTBICDL2 →+1.878+0.741.002.00537
LUNG_SCLCCDC42BPG →+2.362+0.959.001.00636
BONEARHGEF16 →+2.430+1.464.002<.00136
LUNG_SCLCBSPRY →+3.025+1.241<.001<.00135
LUNG_SCLCGADD45G →+3.418+0.999<.001<.00135
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

FUT1 by Negative regulation of gliogenesis activity — LUNG_SCLC

Box plot of FUT1 in Negative regulation of gliogenesis-low vs -high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration