Q-omics provides the consensus-scored NPPC profile across patient tissues and cancer cell-line models. NPPC expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, NPPC is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, NPPC RNA expression shows 14,806 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight ACC, HNSC, and THYM as cancer lineages where NPPC 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 NPPC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NPPC survival associations across molecular data types. NPPC RNA expression shows survival associations in the most cancer types (21), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NPPC RNA expression–survival associations across cancer types. High NPPC expression shows unfavorable associations in ACC, UCEC, UVM, SCLC and LIHC, but favorable associations in LUSC. 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 NPPC RNA expression.
This table summarizes NPPC tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for NPPC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NPPC shows lower tumor expression in HNSC, THCA, BRCA, STAD and COAD and higher tumor expression in LUSC. The HNSC box plot shows higher NPPC RNA expression in normal versus tumor tissue (log2 FC = −1.138, t-test p < 0.001).
This table shows molecular features associated with NPPC in patient tissues and cancer cell lines. In patient samples, NPPC shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, NPPC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and BLOOD_Leukemia.
