GO:0055001Ontology (GO BP)GO biological process · ~191 member genes
Q-omics provides the Muscle cell development (GO:0055001) pathway profile, scoring each patient from the combined activity of its roughly 191 member genes. Pathway activity is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 14, with the highest sampling consensus in UCEC. Additionally, pathway RNA activity shows 36,428 significant cross-omics associations, again with the highest sampling consensus in STAD. Together, these results highlight UCS, UCEC, 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 Muscle cell development 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 Muscle cell development activity shows favorable associations in UCS, UVM and BRCA, but unfavorable associations in THYM, KIRP and PAAD. In the UCS Kaplan–Meier curve the low-activity group declines faster, consistent with the favorable association (log-rank p = .001). UCS ranks highest by sampling consensus for Muscle cell development.
This table summarizes Muscle cell development tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 14 cancer types. The strongest signals are in UCEC 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 consistently lower tumor activity across UCEC, KIRC, BLCA, BRCA, KICH and STAD. In the UCEC box plot, normal samples show higher pathway activity than tumor samples (log2 FC = −0.040, t-test p < 0.001).
This table shows molecular features associated with Muscle cell development 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 LARGE_INTESTINE.
