snRNA catabolic process

pathway activity — cross-omics
GO:0016076Cross-omicsSHRNA → SHRNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the snRNA catabolic process 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 EXOSC10, ZCCHC8, and CETN2, 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, EXOSC10 grouped by snRNA catabolic process-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_LeukemiaEXOSC10 →-0.308-0.280.001.00236
BONEZCCHC8 →-0.272-0.432.001.00535
STOMACHCETN2 →+0.189+0.140.003.00534
BLOOD_MyelomaMTREX →-0.543-0.706.004.00225
BLOOD_MyelomaFUT3 →-0.251-0.423<.001.00634
LUNG_NSCLC_LUADMAST2 →+0.131+0.163.003.00234
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

EXOSC10 by snRNA catabolic process activity — BLOOD_Leukemia

Box plot of EXOSC10 in snRNA catabolic process-low vs -high samples in BLOOD_Leukemia.

Explore this box plot interactively →

Exploration