Negative regulation of multicellular organism growth

pathway activity — cross-omics
GO:0040015Cross-omicsRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of multicellular organism growth pathway is significantly associated with the shRNA dependency of multiple genes, with the SKIN cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are RPL22, SLC4A3, and IL7R, each associated with the pathway in up to 6 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, RPL22 grouped by Negative regulation of multicellular organism growth-low versus -high activity in SKIN.

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
SKINRPL22 →-0.383-0.223<.001<.00136
BREASTSLC4A3 →-0.182-0.132.002<.00135
SOFT_TISSUEIL7R →-0.173-0.251.001<.00135
SKINKCNH8 →-0.183-0.153<.001<.00135
SOFT_TISSUEHDGFL1 →-0.477-0.301<.001<.00135
CNSMAEA →-0.196-0.124.005.00534
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

RPL22 by Negative regulation of multicellular organism growth activity — SKIN

Box plot of RPL22 in Negative regulation of multicellular organism growth-low vs -high samples in SKIN.

Explore this box plot interactively →

Exploration