Regulation of steroid hormone biosynthetic process

pathway activity — cross-omics
GO:0090030Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of steroid hormone 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 EIF4ENIF1, PPP1R13L, and HSPBP1, 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, EIF4ENIF1 grouped by Regulation of steroid hormone 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_MyelomaEIF4ENIF1 →+1.051+1.520.004.00234
STOMACHPPP1R13L →-2.882-1.098<.001<.00134
UPPER_AERODIGESTIVE_TRACTHSPBP1 →-0.958-1.071<.001<.00134
OESOPHAGUSZSCAN5C →+0.020+0.972.009.00534
BONETUBB →+0.688+1.625<.001<.00134
BONEKIFC1 →+0.913+1.618.002<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

EIF4ENIF1 by Regulation of steroid hormone biosynthetic process activity — BLOOD_Myeloma

Box plot of EIF4ENIF1 in Regulation of steroid hormone biosynthetic process-low vs -high samples in BLOOD_Myeloma.

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Exploration