Q-omics provides the consensus-scored NREP profile across patient tissues and cancer cell-line models. NREP expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, NREP is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, NREP RNA expression shows 19,251 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight KIRC, HNSC, and KIRP as cancer lineages where NREP 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 NREP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NREP survival associations across molecular data types. NREP RNA expression shows survival associations in the most cancer types (27), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NREP RNA expression–survival associations across cancer types. High NREP expression shows unfavorable associations in MESO, LIHC, ACC, STAD and BLCA, but favorable associations in KIRC. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify KIRC as the clearest survival context for NREP RNA expression.
This table summarizes NREP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for NREP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NREP shows lower tumor expression in KICH and higher tumor expression in HNSC, KIRC, BRCA, LUAD and LUSC. The HNSC box plot shows higher NREP RNA expression in tumor versus normal tissue (log2 FC = +2.325, t-test p < 0.001).
This table shows molecular features associated with NREP in patient tissues and cancer cell lines. In patient samples, NREP 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, NREP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OESOPHAGUS, while CRISPR and shRNA rows add functional-dependency signals in BONE and BLOOD_Leukemia.
