Gephyrin clustering involved in postsynaptic density assembly
associated omics data
GO:0097116Ontology (GO BP)GO biological process · ~5 member genes
Q-omics provides the Gephyrin clustering involved in postsynaptic density assembly (GO:0097116) pathway profile, scoring each patient from the combined activity of its roughly 5 member genes. Pathway activity is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, the pathway is differentially active in 15, with the highest sampling consensus in KIRC. Additionally, pathway RNA activity shows 30,118 significant cross-omics associations, again with the highest sampling consensus in PRAD. Together, these results highlight BLCA, KIRC, and PRAD 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 Gephyrin clustering involved in postsynaptic density assembly 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 Gephyrin clustering involved in postsynaptic density assembly activity shows favorable associations in BLCA, SKCM, HNSC, SCLC and ESCA, but unfavorable associations in THYM. In the BLCA Kaplan–Meier curve the low-activity group declines faster, consistent with the favorable association (log-rank p = .001). BLCA ranks highest by sampling consensus for Gephyrin clustering involved in postsynaptic density assembly.
This table summarizes Gephyrin clustering involved in postsynaptic density assembly tumor–normal activity differences by data type. RNA-level activity shows significant tumor–normal differences in 15 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 consistently higher tumor activity across KIRC, HNSC, BLCA, COAD, THCA and LUAD. In the KIRC box plot, tumor samples show higher pathway activity than matched normal samples (log2 FC = +0.094, t-test p < 0.001).
This table shows molecular features associated with Gephyrin clustering involved in postsynaptic density assembly 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 PRAD. In cancer cell lines, RNA-expression features and functional dependencies dominate, with the largest set in UPPER_AERODIGESTIVE_TRACT.
