Q-omics provides the consensus-scored MIR944 profile across patient tissues and cancer cell-line models. MIR944 expression is associated with patient survival in 6 of 34 cancer types, with the highest sampling consensus in STAD. Among the 18 cancer types available for tumor–normal comparison, MIR944 is differentially expressed in 1, with the highest sampling consensus in HNSC. Additionally, MIR944 RNA expression shows 12,419 significant gene co-expression associations, with the highest sampling consensus in ESCA. Together, these results highlight STAD, HNSC, and ESCA as cancer lineages where MIR944 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 MIR944 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIR944 survival associations across molecular data types. MIR944 RNA expression shows survival associations in the most cancer types (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIR944 RNA expression–survival associations across cancer types. High MIR944 expression shows unfavorable associations in STAD, SKCM, KIRC, DLBC and BLCA, but favorable associations in ESCA. The STAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify STAD as the clearest survival context for MIR944 RNA expression.
This table summarizes MIR944 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MIR944. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIR944 shows higher tumor expression in HNSC. The HNSC box plot shows higher MIR944 RNA expression in tumor versus normal tissue (log2 FC = +0.093, t-test p = .042).
This table shows molecular features associated with MIR944 in patient tissues and cancer cell lines. In patient samples, MIR944 shows the broadest associations at the RNA and protein expression levels, with ESCA recurring as the lineage with the largest associated feature set.
