cancer/testis antigen family 45 member A9Genealiases: []
Q-omics provides the consensus-scored CT45A9 profile across patient tissues and cancer cell-line models. CT45A9 expression is associated with patient survival in 6 of 34 cancer types, with the highest sampling consensus in HNSC. Additionally, CT45A9 RNA expression shows 1,893 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight HNSC, and KIRP as cancer lineages where CT45A9 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 CT45A9 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CT45A9 survival associations across molecular data types. CT45A9 RNA expression shows survival associations in the most cancer types (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CT45A9 RNA expression–survival associations across cancer types. High CT45A9 expression shows unfavorable associations in HNSC, OV, CESC, KIRC, SKCM and LUSC. The HNSC 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 HNSC as the clearest survival context for CT45A9 RNA expression.
This table shows molecular features associated with CT45A9 in patient tissues and cancer cell lines. In patient samples, CT45A9 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, CT45A9 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE.
