Q-omics provides the consensus-scored FAAH profile across patient tissues and cancer cell-line models. FAAH expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, FAAH is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, FAAH protein abundance shows 24,599 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight UCEC, KICH, and GBM as cancer lineages where FAAH shows reproducible signals across survival, tumor–normal expression, and patient cross-omics 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.
Premium analyses for FAAH — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FAAH survival associations across molecular data types. FAAH RNA expression shows survival associations in the most cancer types (25), followed by mutation status (8) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FAAH RNA expression–survival associations across cancer types. High FAAH expression shows favorable associations in UCEC, KIRC, KIRP, STAD, BLCA and THYM. The UCEC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify UCEC as the clearest survival context for FAAH RNA expression.
This table summarizes FAAH tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 6. The strongest signals are observed in THCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for FAAH. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FAAH shows lower tumor expression in KICH, THCA, KIRP and LUSC and higher tumor expression in BRCA and STAD. The KICH box plot shows higher FAAH RNA expression in normal versus tumor tissue (log2 FC = −2.028, t-test p < 0.001).
This table shows molecular features associated with FAAH in patient tissues and cancer cell lines. In patient samples, FAAH shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, FAAH RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in CNS and OVARY.
