Q-omics provides the consensus-scored NEPNP profile across patient tissues and cancer cell-line models. NEPNP 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, NEPNP is differentially expressed in 4, with the highest sampling consensus in STAD. Additionally, NEPNP RNA expression shows 13,055 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UCS, STAD, and TGCT as cancer lineages where NEPNP 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 NEPNP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NEPNP survival associations across molecular data types. NEPNP RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NEPNP RNA expression–survival associations across cancer types. High NEPNP expression shows unfavorable associations in MESO, SKCM, CESC, KIRP and PAAD, but favorable associations in UCS. 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 NEPNP RNA expression.
This table summarizes NEPNP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for NEPNP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NEPNP shows lower tumor expression in KICH, THCA and COAD and higher tumor expression in STAD. The STAD box plot shows higher NEPNP RNA expression in tumor versus normal tissue (log2 FC = +0.077, t-test p = .009).
This table shows molecular features associated with NEPNP in patient tissues and cancer cell lines. In patient samples, NEPNP shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
