Q-omics provides the consensus-scored ABHD11-AS1 profile across patient tissues and cancer cell-line models. ABHD11-AS1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in PAAD. Among the 18 cancer types available for tumor–normal comparison, ABHD11-AS1 is differentially expressed in 14, with the highest sampling consensus in KIRC. Additionally, ABHD11-AS1 RNA expression shows 15,459 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight PAAD, KIRC, and ESCA as cancer lineages where ABHD11-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 ABHD11-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ABHD11-AS1 survival associations across molecular data types. ABHD11-AS1 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ABHD11-AS1 RNA expression–survival associations across cancer types. High ABHD11-AS1 expression shows unfavorable associations in PAAD, LGG, UVM, ESCA and UCEC, but favorable associations in STAD. The PAAD 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 PAAD as the clearest survival context for ABHD11-AS1 RNA expression.
This table summarizes ABHD11-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ABHD11-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ABHD11-AS1 shows lower tumor expression in LUSC, COAD and HNSC and higher tumor expression in KIRC, KIRP and THCA. The KIRC box plot shows higher ABHD11-AS1 RNA expression in tumor versus normal tissue (log2 FC = +2.018, t-test p < 0.001).
This table shows molecular features associated with ABHD11-AS1 in patient tissues and cancer cell lines. In patient samples, ABHD11-AS1 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
