Q-omics provides the consensus-scored PPY2P profile across patient tissues and cancer cell-line models. PPY2P expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in CHOL. Among the 18 cancer types available for tumor–normal comparison, PPY2P is differentially expressed in 11, with the highest sampling consensus in KIRP. Additionally, PPY2P RNA expression shows 10,292 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight CHOL, KIRP, and TGCT as cancer lineages where PPY2P 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 PPY2P — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PPY2P survival associations across molecular data types. PPY2P RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PPY2P RNA expression–survival associations across cancer types. High PPY2P expression shows unfavorable associations in CHOL, ACC, SARC and UCEC, but favorable associations in LUAD and OV. The CHOL 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 CHOL as the clearest survival context for PPY2P RNA expression.
This table summarizes PPY2P tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for PPY2P. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PPY2P shows lower tumor expression in KIRP, KIRC, THCA and KICH and higher tumor expression in HNSC and UCEC. The KIRP box plot shows higher PPY2P RNA expression in normal versus tumor tissue (log2 FC = −0.273, t-test p < 0.001).
This table shows molecular features associated with PPY2P in patient tissues and cancer cell lines. In patient samples, PPY2P shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
