Q-omics provides the consensus-scored ANAPC15P1 profile across patient tissues and cancer cell-line models. ANAPC15P1 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in LUSC. Among the 18 cancer types available for tumor–normal comparison, ANAPC15P1 is differentially expressed in 3, with the highest sampling consensus in COAD. Additionally, ANAPC15P1 RNA expression shows 4,308 significant pathway-activity associations, with the highest sampling consensus in UCEC. Together, these results highlight LUSC, COAD, and UCEC as cancer lineages where ANAPC15P1 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 ANAPC15P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ANAPC15P1 survival associations across molecular data types. ANAPC15P1 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ANAPC15P1 RNA expression–survival associations across cancer types. High ANAPC15P1 expression shows unfavorable associations in LUSC, KICH, LUAD, GBM, STAD and THYM. The LUSC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .006). Together, the overview and detailed table identify LUSC as the clearest survival context for ANAPC15P1 RNA expression.
This table summarizes ANAPC15P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for ANAPC15P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ANAPC15P1 shows lower tumor expression in KIRC and higher tumor expression in COAD and LIHC. The COAD box plot shows higher ANAPC15P1 RNA expression in tumor versus normal tissue (log2 FC = +0.299, t-test p = .005).
This table shows molecular features associated with ANAPC15P1 in patient tissues and cancer cell lines. In patient samples, ANAPC15P1 shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set.
