Regulation of megakaryocyte differentiation

pathway activity — cross-omics
GO:0045652Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of megakaryocyte differentiation pathway is significantly associated with the RNA expression of multiple genes, with the BLOOD_Myeloma cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are PJA1, EDEM2, and CCN4, each associated with the pathway in up to 4 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, PJA1 grouped by Regulation of megakaryocyte differentiation-low versus -high activity in BLOOD_Myeloma.

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_MyelomaPJA1 →+1.508+0.310.002.00334
LUNG_NSCLC_LUADEDEM2 →-0.609-0.253.001.00234
BLOOD_LeukemiaCCN4 →-0.055-0.221.007<.00134
BREASTJTB →+0.720+0.206.002.00134
BREASTEVPL →+1.768+0.205.002.00334
BLOOD_LeukemiaTFAM →+0.816+0.222.006<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

PJA1 by Regulation of megakaryocyte differentiation activity — BLOOD_Myeloma

Box plot of PJA1 in Regulation of megakaryocyte differentiation-low vs -high samples in BLOOD_Myeloma.

Explore this box plot interactively →

Exploration