Q-omics provides the consensus-scored MIR548C profile across patient tissues and cancer cell-line models. MIR548C expression is associated with patient survival in 14 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, MIR548C is differentially expressed in 3, with the highest sampling consensus in UCEC. Additionally, MIR548C RNA expression shows 9,522 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight HNSC, UCEC, and ESCA as cancer lineages where MIR548C 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 MIR548C — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR548C survival associations across molecular data types. MIR548C RNA expression shows survival associations in the most cancer types (14). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIR548C RNA expression–survival associations across cancer types. High MIR548C expression shows unfavorable associations in THYM, ACC, CESC, KIRC and UVM, but favorable associations in HNSC. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .008). Together, the overview and detailed table identify HNSC as the clearest survival context for MIR548C RNA expression.
This table summarizes MIR548C 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 UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for MIR548C. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR548C shows lower tumor expression in UCEC and higher tumor expression in PAAD and STAD. The UCEC box plot shows higher MIR548C RNA expression in normal versus tumor tissue (log2 FC = −0.356, t-test p = .024).
This table shows molecular features associated with MIR548C in patient tissues and cancer cell lines. In patient samples, MIR548C shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
