Q-omics provides the consensus-scored ZFAND2A profile across patient tissues and cancer cell-line models. ZFAND2A expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, ZFAND2A is differentially expressed in 13, with the highest sampling consensus in KIRC. Additionally, ZFAND2A RNA expression shows 17,748 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, KIRC, and ACC as cancer lineages where ZFAND2A 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 ZFAND2A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ZFAND2A survival associations across molecular data types. ZFAND2A RNA expression shows survival associations in the most cancer types (24), 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 ZFAND2A RNA expression–survival associations across cancer types. High ZFAND2A expression shows unfavorable associations in UVM, KICH, ACC, LUAD and ESCA, but favorable associations in COAD. The UVM Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify UVM as the clearest survival context for ZFAND2A RNA expression.
This table summarizes ZFAND2A tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ZFAND2A. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ZFAND2A shows lower tumor expression in THCA and higher tumor expression in KIRC, HNSC, LIHC, KIRP and ESCA. The KIRC box plot shows higher ZFAND2A RNA expression in tumor versus normal tissue (log2 FC = +1.107, t-test p < 0.001).
This table shows molecular features associated with ZFAND2A in patient tissues and cancer cell lines. In patient samples, ZFAND2A shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, ZFAND2A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in OVARY and CNS.
