Negative regulation of single stranded viral RNA replication via double stranded DNA intermediate

pathway activity — cross-omics
GO:0045869Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Negative regulation of single stranded viral RNA replication via double stranded DNA intermediate pathway is significantly associated with the RNA expression of multiple genes, with the LUNG_SCLC cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are KIZ, ARF3, and NAB1, 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, KIZ grouped by Negative regulation of single stranded viral RNA replication via double stranded DNA intermediate-low versus -high activity in LUNG_SCLC.

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
LUNG_SCLCKIZ →+1.044+1.423.002<.00135
PANCREASARF3 →-0.985-1.341<.001<.00135
BREASTNAB1 →+1.217+1.195<.001<.00135
LUNG_SCLCDENND10 →-1.043-1.383.005<.00134
LUNG_SCLCMFSD5 →-0.965-1.570.002<.00134
URINARY_TRACTSLC2A11 →+1.330+1.864.007.00634
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

KIZ by Negative regulation of single stranded viral RNA replication via double stranded DNA intermediate activity — LUNG_SCLC

Box plot of KIZ in Negative regulation of single stranded viral RNA replication via double stranded DNA intermediate-low vs -high samples in LUNG_SCLC.

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