Granulocyte migration

pathway activity — cross-omics
GO:0097530Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Granulocyte migration 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 KCTD1, SERAC1, and P2RY4, 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, KCTD1 grouped by Granulocyte migration-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_LeukemiaKCTD1 →+1.184+1.019.005.00634
LIVERSERAC1 →-0.701-1.215.002.00434
URINARY_TRACTP2RY4 →-0.195-1.400.002.00434
CNSSUB1 →-0.489-0.708.009.00233
CNSTBC1D15 →+0.378+0.812.008.00533
CNSECHDC3 →+1.360+0.827.006.00333
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

KCTD1 by Granulocyte migration activity — BLOOD_Leukemia

Box plot of KCTD1 in Granulocyte migration-low vs -high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration