PEST proteolytic signal containing nuclear proteinGenealiases: []
Q-omics provides the consensus-scored PCNP profile across patient tissues and cancer cell-line models. PCNP expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UCS. Among the 18 cancer types available for tumor–normal comparison, PCNP is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, PCNP protein abundance shows 33,599 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight UCS, HNSC, and LUAD as cancer lineages where PCNP 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 PCNP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PCNP survival associations across molecular data types. PCNP RNA expression shows survival associations in the most cancer types (23), followed by mutation status (5) and mass-spec protein abundance (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PCNP RNA expression–survival associations across cancer types. High PCNP expression shows unfavorable associations in LIHC, ACC, CESC and LGG, but favorable associations in UCS and KIRC. The UCS 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 UCS as the clearest survival context for PCNP RNA expression.
This table summarizes PCNP 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 11. The strongest signals are observed in HNSC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for PCNP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PCNP shows lower tumor expression in UCEC, THCA and KICH and higher tumor expression in HNSC, LIHC and CHOL. The HNSC box plot shows higher PCNP RNA expression in tumor versus normal tissue (log2 FC = +0.649, t-test p < 0.001).
This table shows molecular features associated with PCNP in patient tissues and cancer cell lines. In patient samples, PCNP shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, PCNP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in SKIN and BLOOD_Leukemia.
