Negative regulation of hormone biosynthetic process

pathway activity — cross-omics
GO:0032353Cross-omicsRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of hormone biosynthetic process pathway is significantly associated with the shRNA dependency of multiple genes, with the BONE cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are VRK2, RBM22, and EPAS1, 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, VRK2 grouped by Negative regulation of hormone biosynthetic process-low versus -high activity in BONE.

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
BONEVRK2 →-0.318-1.523<.001<.00134
LUNG_SCLCRBM22 →-0.565-1.158.002.00533
SKINEPAS1 →-0.150-1.046<.001.00233
OVARYCRIM1 →-0.199-0.899<.001.00524
LUNG_NSCLC_LUADRNASEH1 →+0.161+0.805.005.00233
STOMACHSRF →-0.209-1.233.005.00533
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

VRK2 by Negative regulation of hormone biosynthetic process activity — BONE

Box plot of VRK2 in Negative regulation of hormone biosynthetic process-low vs -high samples in BONE.

Explore this box plot interactively →

Exploration