Q-omics provides the consensus-scored NMB profile across patient tissues and cancer cell-line models. NMB expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in LUAD. Among the 18 cancer types available for tumor–normal comparison, NMB is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, NMB RNA expression shows 17,614 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight LUAD, KIRC, and TGCT as cancer lineages where NMB 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 NMB — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NMB survival associations across molecular data types. NMB RNA expression shows survival associations in the most cancer types (20), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NMB RNA expression–survival associations across cancer types. High NMB expression shows unfavorable associations in LUAD, UVM, SKCM and COAD, but favorable associations in THCA and LGG. The LUAD 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 LUAD as the clearest survival context for NMB RNA expression.
This table summarizes NMB tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for NMB. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NMB shows lower tumor expression in BRCA and higher tumor expression in KIRC, COAD, HNSC, BLCA and LIHC. The KIRC box plot shows higher NMB RNA expression in tumor versus normal tissue (log2 FC = +1.995, t-test p < 0.001).
This table shows molecular features associated with NMB in patient tissues and cancer cell lines. In patient samples, NMB shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, NMB RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in BONE and BLOOD_Leukemia.
