NBAS subunit of NRZ tethering complexGenealiases: ILFS2 · NAG · SOPH
Q-omics provides the consensus-scored NBAS profile across patient tissues and cancer cell-line models. NBAS expression is associated with patient survival in 27 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, NBAS is differentially expressed in 12, with the highest sampling consensus in HNSC. Additionally, NBAS RNA expression shows 21,136 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight BLCA, HNSC, and ACC as cancer lineages where NBAS 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 NBAS — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NBAS survival associations across molecular data types. NBAS RNA expression shows survival associations in the most cancer types (27), followed by mutation status (8) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible NBAS RNA expression–survival associations across cancer types. High NBAS expression shows unfavorable associations in BLCA, ACC, MESO, KICH and LIHC, but favorable associations in KIRC. The BLCA 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 BLCA as the clearest survival context for NBAS RNA expression.
This table summarizes NBAS tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for NBAS. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NBAS shows lower tumor expression in KICH and higher tumor expression in HNSC, LIHC, CHOL, COAD and LUSC. The HNSC box plot shows higher NBAS RNA expression in tumor versus normal tissue (log2 FC = +0.362, t-test p < 0.001).
This table shows molecular features associated with NBAS in patient tissues and cancer cell lines. In patient samples, NBAS 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, NBAS RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
