Q-omics provides the consensus-scored RAD51AP1P1 profile across patient tissues and cancer cell-line models. RAD51AP1P1 expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in LUSC. Among the 18 cancer types available for tumor–normal comparison, RAD51AP1P1 is differentially expressed in 1, with the highest sampling consensus in THCA. Additionally, RAD51AP1P1 RNA expression shows 11,135 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight LUSC, THCA, and LSCC as cancer lineages where RAD51AP1P1 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 RAD51AP1P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RAD51AP1P1 survival associations across molecular data types. RAD51AP1P1 RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RAD51AP1P1 RNA expression–survival associations across cancer types. High RAD51AP1P1 expression shows unfavorable associations in LUSC, KICH, UCS and KIRC, but favorable associations in HNSC and LUAD. The LUSC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .008). Together, the overview and detailed table identify LUSC as the clearest survival context for RAD51AP1P1 RNA expression.
This table summarizes RAD51AP1P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RAD51AP1P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RAD51AP1P1 shows lower tumor expression in THCA. The THCA box plot shows higher RAD51AP1P1 RNA expression in normal versus tumor tissue (log2 FC = −0.032, t-test p = .003).
This table shows molecular features associated with RAD51AP1P1 in patient tissues and cancer cell lines. In patient samples, RAD51AP1P1 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
