Q-omics provides the consensus-scored MIR7160 profile across patient tissues and cancer cell-line models. MIR7160 expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in ESCA. Among the 18 cancer types available for tumor–normal comparison, MIR7160 is differentially expressed in 1, with the highest sampling consensus in LIHC. Additionally, MIR7160 RNA expression shows 5,505 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ESCA, LIHC, and GBM as cancer lineages where MIR7160 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 MIR7160 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR7160 survival associations across molecular data types. MIR7160 RNA expression shows survival associations in the most cancer types (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIR7160 RNA expression–survival associations across cancer types. High MIR7160 expression shows unfavorable associations in ESCA, MESO, BRCA, LUAD, COAD and THCA. The ESCA 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 ESCA as the clearest survival context for MIR7160 RNA expression.
This table summarizes MIR7160 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 LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for MIR7160. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR7160 shows lower tumor expression in LIHC. The LIHC box plot shows higher MIR7160 RNA expression in normal versus tumor tissue (log2 FC = −0.125, t-test p = .015).
This table shows molecular features associated with MIR7160 in patient tissues and cancer cell lines. In patient samples, MIR7160 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set.
