Q-omics provides the consensus-scored MIR645 profile across patient tissues and cancer cell-line models. MIR645 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, MIR645 is differentially expressed in 8, with the highest sampling consensus in KIRP. Additionally, MIR645 RNA expression shows 9,790 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight BLCA, KIRP, and LSCC as cancer lineages where MIR645 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 MIR645 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR645 survival associations across molecular data types. MIR645 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIR645 RNA expression–survival associations across cancer types. High MIR645 expression shows unfavorable associations in UVM, LGG and LUSC, but favorable associations in BLCA, HNSC and KIRP. The BLCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .003). Together, the overview and detailed table identify BLCA as the clearest survival context for MIR645 RNA expression.
This table summarizes MIR645 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 KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for MIR645. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR645 shows lower tumor expression in KIRP, KICH, LUAD, KIRC, LUSC and THCA. The KIRP box plot shows higher MIR645 RNA expression in normal versus tumor tissue (log2 FC = −0.844, t-test p < 0.001).
This table shows molecular features associated with MIR645 in patient tissues and cancer cell lines. In patient samples, MIR645 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set.
