folliculogenesis specific bHLH transcription factorGenealiases: BHLHC8 · FIGALPHA · POF6
Q-omics provides the consensus-scored FIGLA profile across patient tissues and cancer cell-line models. FIGLA expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, FIGLA is differentially expressed in 6, with the highest sampling consensus in HNSC. Additionally, FIGLA RNA expression shows 6,894 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LUAD, HNSC, and STAD as cancer lineages where FIGLA 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 FIGLA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FIGLA survival associations across molecular data types. FIGLA RNA expression shows survival associations in the most cancer types (20), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FIGLA RNA expression–survival associations across cancer types. High FIGLA expression shows unfavorable associations in PAAD, UVM, ACC and PRAD, but favorable associations in LUAD and LGG. The LUAD 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 LUAD as the clearest survival context for FIGLA RNA expression.
This table summarizes FIGLA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for FIGLA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FIGLA shows lower tumor expression in HNSC, BRCA, LUSC, LUAD and STAD and higher tumor expression in KIRC. The HNSC box plot shows higher FIGLA RNA expression in normal versus tumor tissue (log2 FC = −0.064, t-test p < 0.001).
This table shows molecular features associated with FIGLA in patient tissues and cancer cell lines. In patient samples, FIGLA shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, FIGLA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BONE.
