Q-omics provides the consensus-scored PNPP1 profile across patient tissues and cancer cell-line models. PNPP1 expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, PNPP1 is differentially expressed in 1, with the highest sampling consensus in KIRC. Additionally, PNPP1 RNA expression shows 9,324 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight MESO, KIRC, and GBM as cancer lineages where PNPP1 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 PNPP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PNPP1 survival associations across molecular data types. PNPP1 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 PNPP1 RNA expression–survival associations across cancer types. High PNPP1 expression shows unfavorable associations in MESO, CHOL, LIHC, STAD, GBM and DLBC. The MESO 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 MESO as the clearest survival context for PNPP1 RNA expression.
This table summarizes PNPP1 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for PNPP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PNPP1 shows lower tumor expression in KIRC. The KIRC box plot shows higher PNPP1 RNA expression in normal versus tumor tissue (log2 FC = −0.006, t-test p = .039).
This table shows molecular features associated with PNPP1 in patient tissues and cancer cell lines. In patient samples, PNPP1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
