Q-omics provides the consensus-scored NGB profile across patient tissues and cancer cell-line models. NGB expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, NGB is differentially expressed in 12, with the highest sampling consensus in COAD. Additionally, NGB RNA expression shows 11,287 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight LIHC, COAD, and ESCA as cancer lineages where NGB 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 NGB — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NGB survival associations across molecular data types. NGB RNA expression shows survival associations in the most cancer types (23), followed by mutation status (4) and mass-spec protein abundance (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NGB RNA expression–survival associations across cancer types. High NGB expression shows unfavorable associations in LIHC, UCS, STAD and KIRC, but favorable associations in ACC and ESCA. The LIHC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify LIHC as the clearest survival context for NGB RNA expression.
This table summarizes NGB tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for NGB. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NGB shows lower tumor expression in COAD, READ and STAD and higher tumor expression in HNSC, THCA and LUSC. The COAD box plot shows higher NGB RNA expression in normal versus tumor tissue (log2 FC = −1.492, t-test p < 0.001).
This table shows molecular features associated with NGB in patient tissues and cancer cell lines. In patient samples, NGB shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set. In cancer cell lines, NGB 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 CNS and OVARY.
