Positive regulation of platelet activation

pathway activity — cross-omics
GO:0010572Cross-omicsPROTEIN-MS → DRUGCellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Positive regulation of platelet activation pathway is significantly associated with the drug response of multiple features, with the BLOOD_Lymphoma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated features across cancer lineages are WIKI4, CT7033-2, and IGF1R_3801, 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, WIKI4 grouped by Positive regulation of platelet activation-low versus -high activity in BLOOD_Lymphoma.

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
BLOOD_LymphomaWIKI4 →-0.550-0.532.011.01232
BLOOD_LeukemiaCT7033-2 →+0.511+0.359.027.00432
BLOOD_LymphomaIGF1R_3801 →-1.890-0.546<.001.01132
BLOOD_Lymphoma729189 →-0.713-0.546<.001.01132
BLOOD_Lymphoma743380 →-0.509-0.396<.001.01532
BLOOD_LymphomaSabutoclax →-1.125-0.635.022.00732
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

WIKI4 by Positive regulation of platelet activation activity — BLOOD_Lymphoma

Box plot of WIKI4 in Positive regulation of platelet activation-low vs -high samples in BLOOD_Lymphoma.

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Exploration