Negative regulation of erythrocyte differentiation

pathway activity — cross-omics
GO:0045647Cross-omicsPROTEIN-MS → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, RNA activity of the Negative regulation of erythrocyte differentiation pathway is significantly associated with the RNA expression of multiple genes, with the GBM cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are ZFP36, OSM, and CSF3R, 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 scatter plot shows the strongest association, Negative regulation of erythrocyte differentiation activity versus ZFP36 in GBM (Pearson r = 0.39).

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
GBMZFP36 →+0.813+0.819<.001<.00135
GBMOSM →+1.066+0.669.004<.00135
BRCACSF3R →+0.686+0.536.002<.00134
GBMMMP19 →+1.465+1.022<.001<.00134
BRCATAMALIN →+0.530+0.537<.001<.00134
GBMCEBPB →+0.789+0.750.001.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0045647 vs ZFP36 — GBM

Per-sample scatter of Negative regulation of erythrocyte differentiation activity vs ZFP36 in GBM.

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Exploration