Q-omics provides the consensus-scored NAIPP1 profile across patient tissues and cancer cell-line models. NAIPP1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in SKCM. Among the 18 cancer types available for tumor–normal comparison, NAIPP1 is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, NAIPP1 RNA expression shows 14,330 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight SKCM, KIRC, and UVM as cancer lineages where NAIPP1 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 NAIPP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NAIPP1 survival associations across molecular data types. NAIPP1 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NAIPP1 RNA expression–survival associations across cancer types. High NAIPP1 expression shows unfavorable associations in KIRP and KICH, but favorable associations in SKCM, HNSC, STAD and PAAD. The SKCM Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify SKCM as the clearest survival context for NAIPP1 RNA expression.
This table summarizes NAIPP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for NAIPP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NAIPP1 shows lower tumor expression in PAAD and COAD and higher tumor expression in KIRC, STAD, KIRP and BRCA. The KIRC box plot shows higher NAIPP1 RNA expression in tumor versus normal tissue (log2 FC = +0.506, t-test p < 0.001).
This table shows molecular features associated with NAIPP1 in patient tissues and cancer cell lines. In patient samples, NAIPP1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
