GO:0045851Ontology (GO BP)GO biological process · ~6 member genes
Q-omics provides the PH reduction (GO:0045851) pathway profile, scoring each patient from the combined activity of its roughly 6 member genes. Pathway activity is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 7, with the highest sampling consensus in KICH. Additionally, pathway RNA activity shows 28,404 significant cross-omics associations, again with the highest sampling consensus in THCA. Together, these results highlight COAD, KICH, and THCA as cancer lineages where the pathway shows reproducible signals across outcome, tissue activity, and molecular association analyses.
Every result is evaluated using two consensus scores. Sampling consensus measures how consistently a finding is reproduced within a cancer lineage across different conditions. Lineage consensus measures how broadly the result is shared across cancer types, distinguishing pan-cancer signals from lineage-specific patterns. Pathway-against-pathway and pathway-against-mutation comparisons are not available for ontology entities.
Survival associations
This table summarizes PH reduction survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each layer.
This table ranks reproducible pathway activity–survival associations across cancer types. High PH reduction activity shows favorable associations in COAD and BLCA, but unfavorable associations in SKCM, LGG, OV and UCEC. In the COAD Kaplan–Meier curve the low-activity group declines faster, consistent with the favorable association (log-rank p < 0.001). COAD ranks highest by sampling consensus for PH reduction.
This table summarizes PH reduction tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 7 cancer types, while mass-spec protein activity shows differences in 4. The strongest signals are in KICH for RNA and PDAC for protein.
This table ranks reproducible tumor–normal activity differences for the pathway. A positive fold-change indicates higher activity in tumor tissue. The pathway shows higher tumor activity across KICH, KIRC and BLCA and lower tumor activity in LIHC, BRCA and STAD. In the KICH box plot, tumor samples show higher pathway activity than matched normal samples (log2 FC = +0.172, t-test p < 0.001).
This table shows molecular features associated with PH reduction pathway activity in patient tissues and cancer cell lines. In patient samples, pathway activity is most strongly linked to RNA and protein features, with the largest associated set in THCA. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in UPPER_AERODIGESTIVE_TRACT.
