Q-omics provides the consensus-scored MIR302C profile across patient tissues and cancer cell-line models. MIR302C expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, MIR302C is differentially expressed in 3, with the highest sampling consensus in READ. Additionally, MIR302C RNA expression shows 11,281 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight THCA, READ, and TGCT as cancer lineages where MIR302C 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 MIR302C — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR302C survival associations across molecular data types. MIR302C RNA expression shows survival associations in the most cancer types (15). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIR302C RNA expression–survival associations across cancer types. High MIR302C expression shows unfavorable associations in THCA, LGG, LIHC, LUSC and CHOL, but favorable associations in SKCM. The THCA Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .004). Together, the overview and detailed table identify THCA as the clearest survival context for MIR302C RNA expression.
This table summarizes MIR302C 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 READ for RNA.
This table ranks reproducible tumor–normal expression differences for MIR302C. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR302C shows lower tumor expression in READ and higher tumor expression in KIRC and ESCA. The READ box plot shows higher MIR302C RNA expression in normal versus tumor tissue (log2 FC = −0.915, t-test p = .018).
This table shows molecular features associated with MIR302C in patient tissues and cancer cell lines. In patient samples, MIR302C shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
