GO:0048511Ontology (GO BP)GO biological process · ~295 member genes
Q-omics provides the Rhythmic process (GO:0048511) pathway profile, scoring each patient from the combined activity of its roughly 295 member genes. Pathway activity is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 9, with the highest sampling consensus in THCA. Additionally, pathway RNA activity shows 37,033 significant cross-omics associations, again with the highest sampling consensus in KIRC. Together, these results highlight ACC, THCA, and KIRC 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 Rhythmic process survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (22). 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 Rhythmic process activity shows favorable associations in HNSC and BRCA, but unfavorable associations in ACC, MESO, LGG and KICH. In the ACC Kaplan–Meier curve the high-activity group declines faster, consistent with the unfavorable association (log-rank p < 0.001). ACC ranks highest by sampling consensus for Rhythmic process.
This table summarizes Rhythmic process tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 9 cancer types. The strongest signals are in BRCA for RNA.
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 LIHC, KIRC and PRAD and lower tumor activity in THCA, BRCA and KIRP. In the THCA box plot, normal samples show higher pathway activity than tumor samples (log2 FC = −0.019, t-test p < 0.001).
This table shows molecular features associated with Rhythmic process 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 KIRC. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in LUNG_SCLC.
