Q-omics provides the consensus-scored FLACC1 profile across patient tissues and cancer cell-line models. FLACC1 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, FLACC1 is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, FLACC1 RNA expression shows 19,741 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, KIRC, and UVM as cancer lineages where FLACC1 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 FLACC1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes FLACC1 survival associations across molecular data types. FLACC1 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible FLACC1 RNA expression–survival associations across cancer types. High FLACC1 expression shows unfavorable associations in ACC, UVM, LGG and KICH, but favorable associations in BRCA and UCS. The ACC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p < 0.001). Together, the overview and detailed table identify ACC as the clearest survival context for FLACC1 RNA expression.
This table summarizes FLACC1 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for FLACC1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. FLACC1 shows lower tumor expression in KIRC, KICH, LUSC, LUAD, BLCA and THCA. The KIRC box plot shows higher FLACC1 RNA expression in normal versus tumor tissue (log2 FC = −0.403, t-test p < 0.001).
This table shows molecular features associated with FLACC1 in patient tissues and cancer cell lines. In patient samples, FLACC1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, FLACC1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and UPPER_AERODIGESTIVE_TRACT.
