Q-omics provides the consensus-scored MIATNB profile across patient tissues and cancer cell-line models. MIATNB expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, MIATNB is differentially expressed in 7, with the highest sampling consensus in LIHC. Additionally, MIATNB RNA expression shows 18,962 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and LIHC as cancer lineages where MIATNB 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 MIATNB — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIATNB survival associations across molecular data types. MIATNB RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIATNB RNA expression–survival associations across cancer types. High MIATNB expression shows unfavorable associations in ACC, KICH, LGG and LIHC, but favorable associations in ESCA and MESO. 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 MIATNB RNA expression.
This table summarizes MIATNB tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in LIHC for RNA.
This table ranks reproducible tumor–normal expression differences for MIATNB. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIATNB shows lower tumor expression in UCEC, BRCA and THCA and higher tumor expression in LIHC, HNSC and CHOL. The LIHC box plot shows higher MIATNB RNA expression in tumor versus normal tissue (log2 FC = +0.715, t-test p < 0.001).
This table shows molecular features associated with MIATNB in patient tissues and cancer cell lines. In patient samples, MIATNB shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
