nuclear pore complex interacting protein family member B9Genealiases: []
Q-omics provides the consensus-scored NPIPB9 profile across patient tissues and cancer cell-line models. NPIPB9 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, NPIPB9 is differentially expressed in 4, with the highest sampling consensus in THCA. Additionally, NPIPB9 RNA expression shows 13,212 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, THCA, and UVM as cancer lineages where NPIPB9 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 NPIPB9 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NPIPB9 survival associations across molecular data types. NPIPB9 RNA expression shows survival associations in the most cancer types (17), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NPIPB9 RNA expression–survival associations across cancer types. High NPIPB9 expression shows unfavorable associations in KIRC, ACC, COAD, MESO and CHOL, but favorable associations in CESC. The KIRC 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 KIRC as the clearest survival context for NPIPB9 RNA expression.
This table summarizes NPIPB9 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for NPIPB9. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NPIPB9 shows lower tumor expression in THCA, READ and BRCA and higher tumor expression in KIRP. The THCA box plot shows higher NPIPB9 RNA expression in normal versus tumor tissue (log2 FC = −0.210, t-test p < 0.001).
This table shows molecular features associated with NPIPB9 in patient tissues and cancer cell lines. In patient samples, NPIPB9 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, NPIPB9 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia.
