MHC class I polypeptide-related sequence E (pseudogene)Genealiases: PERB11.5 · dJ377H14.7
Q-omics provides the consensus-scored MICE profile across patient tissues and cancer cell-line models. MICE expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in LUSC. Among the 18 cancer types available for tumor–normal comparison, MICE is differentially expressed in 11, with the highest sampling consensus in KIRC. Additionally, MICE RNA expression shows 17,970 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight LUSC, KIRC, and UVM as cancer lineages where MICE 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 MICE — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MICE survival associations across molecular data types. MICE RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MICE RNA expression–survival associations across cancer types. High MICE expression shows unfavorable associations in LUSC, KIRP, THCA, LGG and UVM, but favorable associations in BLCA. The LUSC 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 LUSC as the clearest survival context for MICE RNA expression.
This table summarizes MICE tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for MICE. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MICE shows higher tumor expression in KIRC, COAD, HNSC, BLCA, KIRP and LIHC. The KIRC box plot shows higher MICE RNA expression in tumor versus normal tissue (log2 FC = +0.881, t-test p < 0.001).
This table shows molecular features associated with MICE in patient tissues and cancer cell lines. In patient samples, MICE shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
