Q-omics provides the consensus-scored MIR3157 profile across patient tissues and cancer cell-line models. MIR3157 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, MIR3157 is differentially expressed in 1, with the highest sampling consensus in ESCA. Additionally, MIR3157 RNA expression shows 7,971 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight BRCA, ESCA, and KIRP as cancer lineages where MIR3157 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 MIR3157 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR3157 survival associations across molecular data types. MIR3157 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 MIR3157 RNA expression–survival associations across cancer types. High MIR3157 expression shows unfavorable associations in THCA and CHOL, but favorable associations in BRCA, LUSC, LUAD and LGG. The BRCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .002). Together, the overview and detailed table identify BRCA as the clearest survival context for MIR3157 RNA expression.
This table summarizes MIR3157 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in ESCA for RNA.
This table ranks reproducible tumor–normal expression differences for MIR3157. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR3157 shows lower tumor expression in ESCA. The ESCA box plot shows higher MIR3157 RNA expression in normal versus tumor tissue (log2 FC = −0.690, t-test p = .022).
This table shows molecular features associated with MIR3157 in patient tissues and cancer cell lines. In patient samples, MIR3157 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
