Q-omics provides the consensus-scored PREP profile across patient tissues and cancer cell-line models. PREP expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, PREP is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, PREP RNA expression shows 19,390 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, and ACC as cancer lineages where PREP 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 PREP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes PREP survival associations across molecular data types. PREP RNA expression shows survival associations in the most cancer types (28), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible PREP RNA expression–survival associations across cancer types. High PREP expression shows unfavorable associations in HNSC, LIHC, KICH, ACC, MESO and SARC. 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 PREP RNA expression.
This table summarizes PREP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 7. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for PREP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. PREP shows higher tumor expression in HNSC, STAD, LUSC, COAD, UCEC and BLCA. The HNSC box plot shows higher PREP RNA expression in tumor versus normal tissue (log2 FC = +0.806, t-test p < 0.001).
This table shows molecular features associated with PREP in patient tissues and cancer cell lines. In patient samples, PREP 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, PREP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and LARGE_INTESTINE.
