nuclear pore complex interacting protein family member A9Genealiases: []
Q-omics provides the consensus-scored NPIPA9 profile across patient tissues and cancer cell-line models. NPIPA9 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, NPIPA9 is differentially expressed in 8, with the highest sampling consensus in HNSC. Additionally, NPIPA9 RNA expression shows 14,853 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UCS, HNSC, and UVM as cancer lineages where NPIPA9 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 NPIPA9 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NPIPA9 survival associations across molecular data types. NPIPA9 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NPIPA9 RNA expression–survival associations across cancer types. High NPIPA9 expression shows unfavorable associations in MESO, KIRC, ACC and UVM, but favorable associations in UCS and CESC. The UCS Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify UCS as the clearest survival context for NPIPA9 RNA expression.
This table summarizes NPIPA9 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for NPIPA9. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NPIPA9 shows lower tumor expression in THCA and higher tumor expression in HNSC, COAD, KIRC, KIRP and CHOL. The HNSC box plot shows higher NPIPA9 RNA expression in tumor versus normal tissue (log2 FC = +0.040, t-test p = .001).
This table shows molecular features associated with NPIPA9 in patient tissues and cancer cell lines. In patient samples, NPIPA9 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
