Q-omics provides the consensus-scored MIR6892 profile across patient tissues and cancer cell-line models. MIR6892 expression is associated with patient survival in 8 of 34 cancer types, with the highest sampling consensus in ESCA. Among the 18 cancer types available for tumor–normal comparison, MIR6892 is differentially expressed in 2, with the highest sampling consensus in UCEC. Additionally, MIR6892 RNA expression shows 3,683 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight ESCA, UCEC, and KIRP as cancer lineages where MIR6892 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 MIR6892 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR6892 survival associations across molecular data types. MIR6892 RNA expression shows survival associations in the most cancer types (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIR6892 RNA expression–survival associations across cancer types. High MIR6892 expression shows unfavorable associations in ESCA, PCPG, LGG, THCA, GBM and THYM. The ESCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .008). Together, the overview and detailed table identify ESCA as the clearest survival context for MIR6892 RNA expression.
This table summarizes MIR6892 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for MIR6892. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR6892 shows lower tumor expression in UCEC and higher tumor expression in THCA. The UCEC box plot shows higher MIR6892 RNA expression in normal versus tumor tissue (log2 FC = −1.125, t-test p = .001).
This table shows molecular features associated with MIR6892 in patient tissues and cancer cell lines. In patient samples, MIR6892 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
