cilia and flagella associated protein 73Genealiases: CCDC42B · MIA2
Q-omics provides the consensus-scored CFAP73 profile across patient tissues and cancer cell-line models. CFAP73 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, CFAP73 is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, CFAP73 RNA expression shows 15,568 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, and UVM as cancer lineages where CFAP73 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 CFAP73 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CFAP73 survival associations across molecular data types. CFAP73 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CFAP73 RNA expression–survival associations across cancer types. High CFAP73 expression shows unfavorable associations in KIRC, UVM and COAD, but favorable associations in STAD, HNSC and UCEC. The KIRC 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 KIRC as the clearest survival context for CFAP73 RNA expression.
This table summarizes CFAP73 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for CFAP73. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CFAP73 shows lower tumor expression in KIRC, KICH, LUAD, LUSC and THCA and higher tumor expression in COAD. The KIRC box plot shows higher CFAP73 RNA expression in normal versus tumor tissue (log2 FC = −0.853, t-test p < 0.001).
This table shows molecular features associated with CFAP73 in patient tissues and cancer cell lines. In patient samples, CFAP73 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, CFAP73 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Myeloma, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BLOOD_Leukemia.
