Regulation of growth rate

pathway activity — cross-omics
GO:0040009Cross-omicsRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Regulation of growth rate pathway is significantly associated with the shRNA dependency of multiple genes, with the BLOOD_Leukemia cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are SOX8, PHKG2, and RPL30, 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, SOX8 grouped by Regulation of growth rate-low versus -high activity in BLOOD_Leukemia.

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_LeukemiaSOX8 →-0.136-0.151.005.00134
OESOPHAGUSPHKG2 →-0.213-0.414.003<.00134
STOMACHRPL30 →+0.431+0.402.005<.00134
CNSGNGT2 →-0.171-0.223<.001<.00134
SKINITGA5 →+0.125+0.141.003.00333
LUNG_NSCLC_LUSCHNRNPA3P1 →-0.225-0.419.001<.00133
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

SOX8 by Regulation of growth rate activity — BLOOD_Leukemia

Box plot of SOX8 in Regulation of growth rate-low vs -high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration