Q-omics provides the consensus-scored FALEC profile across patient tissues and cancer cell-line models. FALEC expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, FALEC is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, FALEC RNA expression shows 16,834 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, and UVM as cancer lineages where FALEC 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 FALEC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FALEC survival associations across molecular data types. FALEC RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FALEC RNA expression–survival associations across cancer types. High FALEC expression shows unfavorable associations in KIRC, CESC, COAD, KIRP and MESO, but favorable associations in HNSC. The HNSC 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 HNSC as the clearest survival context for FALEC RNA expression.
This table summarizes FALEC tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for FALEC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FALEC shows lower tumor expression in HNSC and higher tumor expression in LIHC, KIRP, COAD, LUAD and BRCA. The HNSC box plot shows higher FALEC RNA expression in normal versus tumor tissue (log2 FC = −1.628, t-test p < 0.001).
This table shows molecular features associated with FALEC in patient tissues and cancer cell lines. In patient samples, FALEC shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
