Microtubule severing

pathway activity — cross-omics
GO:0051013Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Microtubule severing 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 GFOD2, KIF3C, and UBXN2A, 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 scatter plot shows the strongest association, Microtubule severing activity versus GFOD2 in GBM (Pearson r = 0.25).

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
GBMGFOD2 →+0.382+0.660.002<.00134
GBMKIF3C →+0.631+0.523<.001<.00134
GBMUBXN2A →+0.497+0.630<.001<.00134
CCRCCPRR13 →-0.363-0.494<.001.00333
BRCAMEX3A →+0.790+0.599.001.00233
CCRCCFGF12 →+0.316+0.440.001.00833
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0051013 vs GFOD2 — GBM

Per-sample scatter of Microtubule severing activity vs GFOD2 in GBM.

Explore this scatter interactively →

Exploration