Respiratory gaseous exchange by respiratory system

pathway activity — cross-omics
GO:0007585Cross-omicsSHRNA → RNACellPairwise association · TCGA cohorts

Across TCGA cell cohorts, RNA activity of the Respiratory gaseous exchange by respiratory system pathway is significantly associated with the RNA expression of multiple genes, with the SOFT_TISSUE cohort showing a particularly strong set of associations.

The most reproducible pathway-associated genes across cancer lineages are RGS3, PPP1R9B, and SUCLG2, 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, RGS3 grouped by Respiratory gaseous exchange by respiratory system-low versus -high activity in SOFT_TISSUE.

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
SOFT_TISSUERGS3 →-2.131-0.874.008.00434
OVARYPPP1R9B →-0.813-0.989.001.00534
OVARYSUCLG2 →-0.919-1.256.001<.00134
OESOPHAGUSDUSP18 →-0.831-1.381<.001<.00134
BONEH2AW →+2.017+1.704.007<.00134
URINARY_TRACTCEP250 →-1.089-1.612.002<.00134
Each partner links to its Q-omics profile. Showing the 6 strongest associations by consensus.

RGS3 by Respiratory gaseous exchange by respiratory system activity — SOFT_TISSUE

Box plot of RGS3 in Respiratory gaseous exchange by respiratory system-low vs -high samples in SOFT_TISSUE.

Explore this box plot interactively →

Exploration