Q-omics provides the consensus-scored MIR3153 profile across patient tissues and cancer cell-line models. MIR3153 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MIR3153 is differentially expressed in 13, with the highest sampling consensus in BLCA. Additionally, MIR3153 RNA expression shows 15,296 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, BLCA, and TGCT as cancer lineages where MIR3153 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 MIR3153 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR3153 survival associations across molecular data types. MIR3153 RNA expression shows survival associations in the most cancer types (25). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIR3153 RNA expression–survival associations across cancer types. High MIR3153 expression shows unfavorable associations in ACC, UVM, KICH, LIHC and LGG, but favorable associations in BRCA. 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 MIR3153 RNA expression.
This table summarizes MIR3153 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MIR3153. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR3153 shows higher tumor expression in BLCA, HNSC, COAD, UCEC, READ and BRCA. The BLCA box plot shows higher MIR3153 RNA expression in tumor versus normal tissue (log2 FC = +1.764, t-test p < 0.001).
This table shows molecular features associated with MIR3153 in patient tissues and cancer cell lines. In patient samples, MIR3153 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set.
