non-protein coding RNA, associated with MAP kinase pathway and growth arrestGenealiases: STX17-AS1 · STX17-DT
Q-omics provides the consensus-scored NAMA profile across patient tissues and cancer cell-line models. NAMA expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, NAMA is differentially expressed in 10, with the highest sampling consensus in THCA. Additionally, NAMA RNA expression shows 16,360 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and THCA as cancer lineages where NAMA 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 NAMA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes NAMA survival associations across molecular data types. NAMA 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 NAMA RNA expression–survival associations across cancer types. High NAMA expression shows unfavorable associations in UVM and ACC, but favorable associations in READ, KIRP, HNSC and PAAD. 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 NAMA RNA expression.
This table summarizes NAMA 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for NAMA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. NAMA shows lower tumor expression in THCA, BRCA, KICH, HNSC, KIRC and LUSC. The THCA box plot shows higher NAMA RNA expression in normal versus tumor tissue (log2 FC = −0.247, t-test p < 0.001).
This table shows molecular features associated with NAMA in patient tissues and cancer cell lines. In patient samples, NAMA shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
