Q-omics provides the consensus-scored NPIPA2 profile across patient tissues and cancer cell-line models. NPIPA2 expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, NPIPA2 is differentially expressed in 1, with the highest sampling consensus in LUAD. Additionally, NPIPA2 RNA expression shows 3,997 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight ACC, and LUAD as cancer lineages where NPIPA2 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 NPIPA2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NPIPA2 survival associations across molecular data types. NPIPA2 RNA expression shows survival associations in the most cancer types (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NPIPA2 RNA expression–survival associations across cancer types. High NPIPA2 expression shows unfavorable associations in ACC, OV, STAD, CESC and SKCM, but favorable associations in GBM. The ACC 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 ACC as the clearest survival context for NPIPA2 RNA expression.
This table summarizes NPIPA2 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 LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for NPIPA2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NPIPA2 shows lower tumor expression in LUAD. The LUAD box plot shows higher NPIPA2 RNA expression in normal versus tumor tissue (log2 FC = −0.003, t-test p = .044).
This table shows molecular features associated with NPIPA2 in patient tissues and cancer cell lines. In patient samples, NPIPA2 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, NPIPA2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE.
