Regulation of fertilization

pathway activity — cross-omics
GO:0080154Cross-omicsPROTEIN-MS → DRUGCellPairwise association · TCGA cohorts

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

The most reproducible pathway-associated features across cancer lineages are CDK9_5038, JAK1_8709, and GDC0810, each associated with the pathway in up to 3 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, CDK9_5038 grouped by Regulation of fertilization-low versus -high activity in SKIN.

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
SKINCDK9_5038 →-0.877-0.250<.001.00633
SKINJAK1_8709 →-0.620-0.350.015.00233
SKINGDC0810 →-0.321-0.184.002.00433
SKINDinaciclib →-0.423-0.127.048.03232
SKINLinsitinib →-0.668-0.135.007.03932
SKINN25720-51-A1 →-0.603-0.208.048.01132
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

CDK9_5038 by Regulation of fertilization activity — SKIN

Box plot of CDK9_5038 in Regulation of fertilization-low vs -high samples in SKIN.

Explore this box plot interactively →

Exploration