Q-omics provides the consensus-scored NUBP2 profile across patient tissues and cancer cell-line models. NUBP2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, NUBP2 is differentially expressed in 13, with the highest sampling consensus in COAD. Additionally, NUBP2 protein abundance shows 23,897 significant protein co-abundance associations, with the highest sampling consensus in LUAD. Together, these results highlight ACC, COAD, and LUAD as cancer lineages where NUBP2 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 NUBP2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NUBP2 survival associations across molecular data types. NUBP2 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NUBP2 RNA expression–survival associations across cancer types. High NUBP2 expression shows unfavorable associations in ACC, KIRP, LIHC and SKCM, but favorable associations in READ and THYM. The ACC 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 ACC as the clearest survival context for NUBP2 RNA expression.
This table summarizes NUBP2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for NUBP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NUBP2 shows higher tumor expression in COAD, KIRP, KIRC, HNSC, LIHC and BRCA. The COAD box plot shows higher NUBP2 RNA expression in tumor versus normal tissue (log2 FC = +1.126, t-test p < 0.001).
This table shows molecular features associated with NUBP2 in patient tissues and cancer cell lines. In patient samples, NUBP2 shows the broadest associations at the RNA and protein expression levels, with LUAD recurring as the lineage with the largest associated feature set. In cancer cell lines, NUBP2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in OVARY, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Lymphoma.
