Regulation of cortisol biosynthetic process

pathway activity — cross-omics
GO:2000064Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of cortisol biosynthetic process 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 EFHC1, PCID2, and JAK1, each associated with the pathway in up to 5 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, EFHC1 grouped by Regulation of cortisol biosynthetic process-low versus -high activity in BLOOD_Myeloma.

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_MyelomaEFHC1 →+0.894+1.223<.001.00335
BLOOD_MyelomaPCID2 →+0.906+1.269.003.00234
SOFT_TISSUEJAK1 →+1.413+1.035.006.00734
LUNG_NSCLC_LUSCESR2 →+0.378+1.808<.001<.00134
BLOOD_LeukemiaTYMS →+0.765+1.141.003.00634
BLOOD_LeukemiaKDM1A →+1.179+1.252<.001.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

EFHC1 by Regulation of cortisol biosynthetic process activity — BLOOD_Myeloma

Box plot of EFHC1 in Regulation of cortisol biosynthetic process-low vs -high samples in BLOOD_Myeloma.

Explore this box plot interactively →

Exploration