Negative regulation of neuroinflammatory response

pathway activity — cross-omics
GO:0150079Cross-omicsPROTEIN-MS → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of neuroinflammatory response pathway is significantly associated with the shRNA dependency 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 BHMT2, GCDH, and WNT4, 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, BHMT2 grouped by Negative regulation of neuroinflammatory response-low versus -high activity in LUNG_SCLC.

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_SCLCBHMT2 →-0.317-1.576.007.00834
LARGE_INTESTINEGCDH →-0.206-1.391.005<.00133
LARGE_INTESTINEWNT4 →-0.168-1.524<.001.00233
SKINSLC22A12 →-0.208-1.890.001.00233
OVARYSTAT5A →-0.196-1.558.005.00133
OVARYUSP18 →+0.144+1.558<.001.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

BHMT2 by Negative regulation of neuroinflammatory response activity — LUNG_SCLC

Box plot of BHMT2 in Negative regulation of neuroinflammatory response-low vs -high samples in LUNG_SCLC.

Explore this box plot interactively →

Exploration