Q-omics provides the consensus-scored MIR600HG profile across patient tissues and cancer cell-line models. MIR600HG expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, MIR600HG is differentially expressed in 12, with the highest sampling consensus in KIRP. Additionally, MIR600HG RNA expression shows 20,721 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight HNSC, KIRP, and UVM as cancer lineages where MIR600HG 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 MIR600HG — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR600HG survival associations across molecular data types. MIR600HG 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 MIR600HG RNA expression–survival associations across cancer types. High MIR600HG expression shows unfavorable associations in ACC, LIHC and COAD, but favorable associations in HNSC, PAAD and LUAD. The HNSC 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 HNSC as the clearest survival context for MIR600HG RNA expression.
This table summarizes MIR600HG tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for MIR600HG. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR600HG shows lower tumor expression in KIRP, KIRC, THCA, LUAD and COAD and higher tumor expression in LIHC. The KIRP box plot shows higher MIR600HG RNA expression in normal versus tumor tissue (log2 FC = −0.957, t-test p < 0.001).
This table shows molecular features associated with MIR600HG in patient tissues and cancer cell lines. In patient samples, MIR600HG shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, MIR600HG RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC.
