Q-omics provides the consensus-scored UBAC2-AS1 profile across patient tissues and cancer cell-line models. UBAC2-AS1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, UBAC2-AS1 is differentially expressed in 16, with the highest sampling consensus in COAD. Additionally, UBAC2-AS1 RNA expression shows 17,504 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, COAD, and ACC as cancer lineages where UBAC2-AS1 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 UBAC2-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UBAC2-AS1 survival associations across molecular data types. UBAC2-AS1 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 UBAC2-AS1 RNA expression–survival associations across cancer types. High UBAC2-AS1 expression shows unfavorable associations in HNSC and ACC, but favorable associations in PAAD, LGG, THYM and MESO. The HNSC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify HNSC as the clearest survival context for UBAC2-AS1 RNA expression.
This table summarizes UBAC2-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for UBAC2-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UBAC2-AS1 shows lower tumor expression in KIRC, KICH and THCA and higher tumor expression in COAD, BLCA and LIHC. The COAD box plot shows higher UBAC2-AS1 RNA expression in tumor versus normal tissue (log2 FC = +1.010, t-test p < 0.001).
This table shows molecular features associated with UBAC2-AS1 in patient tissues and cancer cell lines. In patient samples, UBAC2-AS1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
