leucyl and cystinyl aminopeptidaseGenealiases: CAP · IRAP · P-LAP · PLAP
Q-omics provides the consensus-scored LNPEP profile across patient tissues and cancer cell-line models. LNPEP expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, LNPEP is differentially expressed in 8, with the highest sampling consensus in LIHC. Additionally, LNPEP RNA expression shows 20,853 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight HNSC, LIHC, and KIRP as cancer lineages where LNPEP 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 LNPEP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes LNPEP survival associations across molecular data types. LNPEP RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible LNPEP RNA expression–survival associations across cancer types. High LNPEP expression shows unfavorable associations in OV, LGG and PAAD, but favorable associations in HNSC, KIRC and CHOL. The HNSC 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 HNSC as the clearest survival context for LNPEP RNA expression.
This table summarizes LNPEP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8, while mass-spec protein shows differences in 4. The strongest signals are observed in LIHC for RNA and PDAC for protein.
This table ranks reproducible tumor–normal expression differences for LNPEP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. LNPEP shows lower tumor expression in UCEC, THCA and LUSC and higher tumor expression in LIHC, HNSC and CHOL. The LIHC box plot shows higher LNPEP RNA expression in tumor versus normal tissue (log2 FC = +1.004, t-test p < 0.001).
This table shows molecular features associated with LNPEP in patient tissues and cancer cell lines. In patient samples, LNPEP shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, LNPEP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Myeloma, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
