Q-omics provides the consensus-scored PNOC profile across patient tissues and cancer cell-line models. PNOC expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, PNOC is differentially expressed in 7, with the highest sampling consensus in COAD. Additionally, PNOC RNA expression shows 20,965 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight HNSC, COAD, and LSCC as cancer lineages where PNOC 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 PNOC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PNOC survival associations across molecular data types. PNOC RNA expression shows survival associations in the most cancer types (23), 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 PNOC RNA expression–survival associations across cancer types. High PNOC expression shows unfavorable associations in UVM, but favorable associations in HNSC, SKCM, LUAD, CESC and ESCA. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify HNSC as the clearest survival context for PNOC RNA expression.
This table summarizes PNOC tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for PNOC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PNOC shows lower tumor expression in COAD, KIRC, KICH and KIRP and higher tumor expression in LUAD and BRCA. The COAD box plot shows higher PNOC RNA expression in normal versus tumor tissue (log2 FC = −1.314, t-test p < 0.001).
This table shows molecular features associated with PNOC in patient tissues and cancer cell lines. In patient samples, PNOC shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, PNOC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BLOOD_Lymphoma.
