Negative regulation of fibroblast growth factor receptor signaling pathway

pathway activity — cross-omics
GO:0040037Cross-omicsRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of fibroblast growth factor receptor signaling pathway pathway is significantly associated with the RNA expression of multiple genes, with the LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are SPRY4, SPRY2, and SULF2, each associated with the pathway in up to 12 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 fibroblast growth factor receptor signaling pathway activity versus SPRY4 in LUNG_SCLC (Pearson r = 0.48).

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
LUNG_SCLCSPRY4 →+2.109+0.871<.001<.001312
BREASTSPRY2 →+2.045+0.229<.001<.001311
BLOOD_MyelomaSULF2 →+3.891+0.987.003.006310
BONETHBS1 →+5.654+1.305<.001<.00139
BONEGPC1 →+3.079+1.558<.001<.00139
SKINANTXR2 →+1.671+0.176<.001<.00138
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0040037 vs SPRY4 — LUNG_SCLC

Per-sample scatter of Negative regulation of fibroblast growth factor receptor signaling pathway activity vs SPRY4 in LUNG_SCLC.

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