Q-omics provides the consensus-scored NPB profile across patient tissues and cancer cell-line models. NPB expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, NPB is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, NPB RNA expression shows 14,699 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KICH, THCA, and ACC as cancer lineages where NPB 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 NPB — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NPB survival associations across molecular data types. NPB RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NPB RNA expression–survival associations across cancer types. High NPB expression shows unfavorable associations in KICH, ACC, LUAD, THCA and MESO, but favorable associations in HNSC. The KICH 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 KICH as the clearest survival context for NPB RNA expression.
This table summarizes NPB tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for NPB. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NPB shows lower tumor expression in THCA, KIRC and KICH and higher tumor expression in STAD, LIHC and BLCA. The THCA box plot shows higher NPB RNA expression in normal versus tumor tissue (log2 FC = −0.069, t-test p < 0.001).
This table shows molecular features associated with NPB in patient tissues and cancer cell lines. In patient samples, NPB shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, NPB RNA and mutation anchors are most strongly linked to RNA-expression features, especially in URINARY_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BONE and BLOOD_Leukemia.
