Q-omics provides the consensus-scored COL18A1-AS1 profile across patient tissues and cancer cell-line models. COL18A1-AS1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, COL18A1-AS1 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, COL18A1-AS1 RNA expression shows 15,182 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UVM, KIRC, and THYM as cancer lineages where COL18A1-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 COL18A1-AS1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes COL18A1-AS1 survival associations across molecular data types. COL18A1-AS1 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible COL18A1-AS1 RNA expression–survival associations across cancer types. High COL18A1-AS1 expression shows unfavorable associations in UVM and ACC, but favorable associations in HNSC, KIRC, UCS and BLCA. The UVM 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 UVM as the clearest survival context for COL18A1-AS1 RNA expression.
This table summarizes COL18A1-AS1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for COL18A1-AS1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COL18A1-AS1 shows lower tumor expression in KIRC, KIRP, KICH and THCA and higher tumor expression in HNSC and LIHC. The KIRC box plot shows higher COL18A1-AS1 RNA expression in normal versus tumor tissue (log2 FC = −1.274, t-test p < 0.001).
This table shows molecular features associated with COL18A1-AS1 in patient tissues and cancer cell lines. In patient samples, COL18A1-AS1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
