nuclear pore complex interacting protein family member A8Genealiases: LCR16a9 · NPIPA7
Q-omics provides the consensus-scored NPIPA8 profile across patient tissues and cancer cell-line models. NPIPA8 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, NPIPA8 is differentially expressed in 6, with the highest sampling consensus in ESCA. Additionally, NPIPA8 RNA expression shows 4,468 significant pathway-activity associations, with the highest sampling consensus in KIRC. Together, these results highlight KICH, ESCA, and KIRC as cancer lineages where NPIPA8 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 NPIPA8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NPIPA8 survival associations across molecular data types. NPIPA8 RNA expression shows survival associations in the most cancer types (19), 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 NPIPA8 RNA expression–survival associations across cancer types. High NPIPA8 expression shows unfavorable associations in KICH, THYM, LUAD, UCEC and MESO, but favorable associations in BLCA. The KICH 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 KICH as the clearest survival context for NPIPA8 RNA expression.
This table summarizes NPIPA8 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for NPIPA8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NPIPA8 shows lower tumor expression in PRAD and COAD and higher tumor expression in ESCA, LIHC, STAD and KIRC. The ESCA box plot shows higher NPIPA8 RNA expression in tumor versus normal tissue (log2 FC = +0.065, t-test p = .049).
This table shows molecular features associated with NPIPA8 in patient tissues and cancer cell lines. In patient samples, NPIPA8 shows the broadest associations at the RNA and protein expression levels, with KIRC recurring as the lineage with the largest associated feature set. In cancer cell lines, NPIPA8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma.
