Negative regulation of neuron migration

pathway activity — cross-omics
GO:2001223Cross-omicsRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of neuron migration 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 GAK, SLC14A2, and SSX6P, 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, GAK grouped by Negative regulation of neuron migration-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
SKINGAK →-0.330-0.187.008.00535
UPPER_AERODIGESTIVE_TRACTSLC14A2 →+0.141+0.116<.001.00734
OVARYSSX6P →+0.208+0.339.002<.00134
BREASTCSDC2 →-0.140-0.244<.001<.00134
CNSABL1 →-0.158-0.202.002.00133
BLOOD_MyelomaFASTK →+0.330+0.195.002.00833
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

GAK by Negative regulation of neuron migration activity — SKIN

Box plot of GAK in Negative regulation of neuron migration-low vs -high samples in SKIN.

Explore this box plot interactively →

Exploration