Q-omics provides the consensus-scored PRCPP1 profile across patient tissues and cancer cell-line models. PRCPP1 expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, PRCPP1 is differentially expressed in 2, with the highest sampling consensus in HNSC. Additionally, PRCPP1 RNA expression shows 6,187 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight HNSC, and STAD as cancer lineages where PRCPP1 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 PRCPP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PRCPP1 survival associations across molecular data types. PRCPP1 RNA expression shows survival associations in the most cancer types (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PRCPP1 RNA expression–survival associations across cancer types. High PRCPP1 expression shows unfavorable associations in HNSC, KICH, ACC and GBM, but favorable associations in BLCA and LAML. The HNSC 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 HNSC as the clearest survival context for PRCPP1 RNA expression.
This table summarizes PRCPP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for PRCPP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PRCPP1 shows lower tumor expression in KIRC and higher tumor expression in HNSC. The HNSC box plot shows higher PRCPP1 RNA expression in tumor versus normal tissue (log2 FC = +0.013, t-test p = .004).
This table shows molecular features associated with PRCPP1 in patient tissues and cancer cell lines. In patient samples, PRCPP1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
