Q-omics provides the consensus-scored UPK1A-AS1 profile across patient tissues and cancer cell-line models. UPK1A-AS1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, UPK1A-AS1 is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, UPK1A-AS1 RNA expression shows 10,360 significant gene co-expression associations, with the highest sampling consensus in BLCA. Together, these results highlight KIRC, and BLCA as cancer lineages where UPK1A-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 UPK1A-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UPK1A-AS1 survival associations across molecular data types. UPK1A-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 UPK1A-AS1 RNA expression–survival associations across cancer types. High UPK1A-AS1 expression shows unfavorable associations in KIRC, ACC, MESO, LIHC, UCS and READ. The KIRC 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 KIRC as the clearest survival context for UPK1A-AS1 RNA expression.
This table summarizes UPK1A-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for UPK1A-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UPK1A-AS1 shows lower tumor expression in KIRC, KICH and KIRP and higher tumor expression in LIHC, CHOL and COAD. The KIRC box plot shows higher UPK1A-AS1 RNA expression in normal versus tumor tissue (log2 FC = −0.168, t-test p < 0.001).
This table shows molecular features associated with UPK1A-AS1 in patient tissues and cancer cell lines. In patient samples, UPK1A-AS1 shows the broadest associations at the RNA and protein expression levels, with BLCA recurring as the lineage with the largest associated feature set.
