Regulation of cell maturation

pathway activity — cross-omics
GO:1903429Cross-omicsPROTEIN-MS → DRUGCellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of cell maturation pathway is significantly associated with the drug response of multiple features, with the LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated features across cancer lineages are AZD5153, YK-4-279, and XAV939, each associated with the pathway in up to 2 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, AZD5153 grouped by Regulation of cell maturation-low versus -high activity in LUNG_SCLC.

Pathway-associated features 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 featureX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
LUNG_SCLCAZD5153 →-1.451-0.409.007.00232
BLOOD_LeukemiaYK-4-279 →+0.652+0.414.008.01331
BLOOD_LeukemiaXAV939 →+0.446+0.453.007.00231
BLOOD_LeukemiaPonatinib →+1.599+0.328.020.03931
BLOOD_LeukemiaRVX-208 →+0.590+0.733.002.04731
BLOOD_Leukemia765771 →-0.620-0.408<.001.02531
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

AZD5153 by Regulation of cell maturation activity — LUNG_SCLC

Box plot of AZD5153 in Regulation of cell maturation-low vs -high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration