NSF attachment protein betaGenealiases: DEE107 · SNAP-BETA · SNAPB
Q-omics provides the consensus-scored NAPB profile across patient tissues and cancer cell-line models. NAPB expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, NAPB is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, NAPB protein abundance shows 21,883 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight LIHC, HNSC, and GBM as cancer lineages where NAPB 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 NAPB — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NAPB survival associations across molecular data types. NAPB RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NAPB RNA expression–survival associations across cancer types. High NAPB expression shows unfavorable associations in LIHC, UVM, KIRC, KICH and MESO, but favorable associations in READ. The LIHC 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 LIHC as the clearest survival context for NAPB RNA expression.
This table summarizes NAPB tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for NAPB. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NAPB shows lower tumor expression in THCA, KICH and UCEC and higher tumor expression in HNSC, LIHC and CHOL. The HNSC box plot shows higher NAPB RNA expression in tumor versus normal tissue (log2 FC = +0.773, t-test p < 0.001).
This table shows molecular features associated with NAPB in patient tissues and cancer cell lines. In patient samples, NAPB shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, NAPB RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and KIDNEY.
