Regulation of lymphocyte differentiation

pathway activity — cross-omics
GO:0045619Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of lymphocyte differentiation 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 KIF4A, ENOX2, and TPX2, 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 box plot shows the strongest association, KIF4A grouped by Regulation of lymphocyte differentiation-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_LeukemiaKIF4A →-0.726-0.124.006.00635
BLOOD_LeukemiaENOX2 →-0.611-0.124.005.00634
BLOOD_LeukemiaTPX2 →-0.866-0.142.009.00234
PANCREASALYREF →-0.724-0.193<.001.00534
PANCREASIPO5 →-1.337-0.278<.001.00134
LUNG_SCLCRCN3 →-2.083-0.257.005<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

KIF4A by Regulation of lymphocyte differentiation activity — BLOOD_Leukemia

Box plot of KIF4A in Regulation of lymphocyte differentiation-low vs -high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration