Q-omics provides the consensus-scored MIR326 profile across patient tissues and cancer cell-line models. MIR326 expression is associated with patient survival in 12 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MIR326 is differentially expressed in 3, with the highest sampling consensus in LUSC. Additionally, MIR326 RNA expression shows 10,398 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight ACC, LUSC, and ESCA as cancer lineages where MIR326 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 MIR326 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR326 survival associations across molecular data types. MIR326 RNA expression shows survival associations in the most cancer types (12). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIR326 RNA expression–survival associations across cancer types. High MIR326 expression shows unfavorable associations in ACC, UCEC, TGCT, KIRP and STAD, but favorable associations in LUAD. The ACC 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 ACC as the clearest survival context for MIR326 RNA expression.
This table summarizes MIR326 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in LUSC for RNA.
This table ranks reproducible tumor–normal expression differences for MIR326. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR326 shows lower tumor expression in LUSC and KICH and higher tumor expression in LIHC. The LUSC box plot shows higher MIR326 RNA expression in normal versus tumor tissue (log2 FC = −0.331, t-test p < 0.001).
This table shows molecular features associated with MIR326 in patient tissues and cancer cell lines. In patient samples, MIR326 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
