Q-omics provides the consensus-scored MIR4777 profile across patient tissues and cancer cell-line models. MIR4777 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, MIR4777 is differentially expressed in 5, with the highest sampling consensus in LUAD. Additionally, MIR4777 RNA expression shows 6,973 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight KIRC, LUAD, and ESCA as cancer lineages where MIR4777 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 MIR4777 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR4777 survival associations across molecular data types. MIR4777 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIR4777 RNA expression–survival associations across cancer types. High MIR4777 expression shows unfavorable associations in KIRC, UVM, LUSC, LIHC and STAD, but favorable associations in LUAD. The KIRC 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 KIRC as the clearest survival context for MIR4777 RNA expression.
This table summarizes MIR4777 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in LUAD for RNA.
This table ranks reproducible tumor–normal expression differences for MIR4777. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR4777 shows lower tumor expression in LUAD and LUSC and higher tumor expression in PAAD, CHOL and BRCA. The LUAD box plot shows higher MIR4777 RNA expression in normal versus tumor tissue (log2 FC = −0.428, t-test p = .004).
This table shows molecular features associated with MIR4777 in patient tissues and cancer cell lines. In patient samples, MIR4777 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
