Q-omics provides the consensus-scored PYY profile across patient tissues and cancer cell-line models. PYY expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, PYY is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, PYY RNA expression shows 13,543 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and HNSC as cancer lineages where PYY 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 PYY — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PYY survival associations across molecular data types. PYY RNA expression shows survival associations in the most cancer types (20), followed by mutation status (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PYY RNA expression–survival associations across cancer types. High PYY expression shows unfavorable associations in ACC, KIRC, GBM and PCPG, but favorable associations in BRCA and UVM. 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 PYY RNA expression.
This table summarizes PYY tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 1. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for PYY. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PYY shows lower tumor expression in COAD, THCA and KIRP and higher tumor expression in HNSC, KICH and BRCA. The HNSC box plot shows higher PYY RNA expression in tumor versus normal tissue (log2 FC = +0.285, t-test p < 0.001).
This table shows molecular features associated with PYY in patient tissues and cancer cell lines. In patient samples, PYY shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, PYY RNA and mutation anchors are most strongly linked to RNA-expression features, especially in STOMACH, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and LARGE_INTESTINE.
