Growth hormone receptor signaling pathway via JAK-STAT

pathway activity — cross-omics
GO:0060397Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Growth hormone receptor signaling pathway via JAK-STAT 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 STAT5B, STAT3, and KSR1, each associated with the pathway in up to 17 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, Growth hormone receptor signaling pathway via JAK-STAT activity versus STAT5B in BLOOD_Myeloma (Pearson r = 0.64).

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_MyelomaSTAT5B →+1.316+0.142<.001.001317
BLOOD_LymphomaSTAT3 →+1.877+0.192<.001<.001311
BLOOD_LymphomaKSR1 →+2.569+0.146<.001<.001310
LUNG_NSCLC_LUSCPTPN1 →+1.162+0.158.001.00139
OVARYJAK1 →+1.301+0.158<.001<.00139
BLOOD_LeukemiaLYN →+2.005+0.179<.001<.00129
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0060397 vs STAT5B — BLOOD_Myeloma

Per-sample scatter of Growth hormone receptor signaling pathway via JAK-STAT activity vs STAT5B in BLOOD_Myeloma.

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Exploration