Negative regulation of growth

pathway activity — cross-omics
GO:0045926Cross-omicsPROTEIN-MS → RNACellPairwise association · TCGA cohorts

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

The most reproducible pathway-associated genes across cancer lineages are SLC43A1, NECTIN4, and PTPN6, each associated with the pathway in up to 7 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 growth activity versus SLC43A1 in SKIN (Pearson r = -0.54).

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
SKINSLC43A1 →-1.762-0.181.001<.00137
LUNG_NSCLC_LUADNECTIN4 →+2.747+0.172<.001<.00137
LUNG_NSCLC_LUADPTPN6 →+1.761+0.131<.001<.00136
PANCREASC11orf52 →+2.040+0.289.004.00136
BREASTLY6D →+2.732+0.219<.001.00136
PANCREASECSIT →-0.832-0.303<.001<.00136
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GO:0045926 vs SLC43A1 — SKIN

Per-sample scatter of Negative regulation of growth activity vs SLC43A1 in SKIN.

Explore this scatter interactively →

Exploration