Q-omics provides the consensus-scored DNAJC27-AS1 profile across patient tissues and cancer cell-line models. DNAJC27-AS1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in LGG. Among the 18 cancer types available for tumor–normal comparison, DNAJC27-AS1 is differentially expressed in 14, with the highest sampling consensus in THCA. Additionally, DNAJC27-AS1 RNA expression shows 18,823 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight LGG, THCA, and ACC as cancer lineages where DNAJC27-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 DNAJC27-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DNAJC27-AS1 survival associations across molecular data types. DNAJC27-AS1 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DNAJC27-AS1 RNA expression–survival associations across cancer types. High DNAJC27-AS1 expression shows unfavorable associations in ACC and DLBC, but favorable associations in LGG, UCS, PAAD and KIRC. The LGG Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify LGG as the clearest survival context for DNAJC27-AS1 RNA expression.
This table summarizes DNAJC27-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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for DNAJC27-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DNAJC27-AS1 shows lower tumor expression in THCA, KICH, KIRC, UCEC and BRCA and higher tumor expression in LIHC. The THCA box plot shows higher DNAJC27-AS1 RNA expression in normal versus tumor tissue (log2 FC = −1.047, t-test p < 0.001).
This table shows molecular features associated with DNAJC27-AS1 in patient tissues and cancer cell lines. In patient samples, DNAJC27-AS1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
