GO:1903509Ontology (GO BP)GO biological process · ~107 member genes
Q-omics provides the Liposaccharide metabolic process (GO:1903509) pathway profile, scoring each patient from the combined activity of its roughly 107 member genes. Pathway activity is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 9, with the highest sampling consensus in LIHC. Additionally, pathway RNA activity shows 36,945 significant cross-omics associations, again with the highest sampling consensus in STAD. Together, these results highlight BRCA, LIHC, and STAD 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 Liposaccharide metabolic process survival associations by molecular data type. RNA-level pathway activity shows survival associations in the most cancer types (21). 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 Liposaccharide metabolic process activity shows favorable associations in BRCA, SCLC, HNSC, ESCA and SKCM, but unfavorable associations in LGG. In the BRCA Kaplan–Meier curve the low-activity group declines faster, consistent with the favorable association (log-rank p = .002). BRCA ranks highest by sampling consensus for Liposaccharide metabolic process.
This table summarizes Liposaccharide metabolic 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 KIRC 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, CHOL and STAD and lower tumor activity in BRCA and KICH. In the LIHC box plot, tumor samples show higher pathway activity than matched normal samples (log2 FC = +0.027, t-test p < 0.001).
This table shows molecular features associated with Liposaccharide metabolic 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 STAD. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in BONE.
