Q-omics provides the consensus-scored MIOXP1 profile across patient tissues and cancer cell-line models. MIOXP1 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, MIOXP1 is differentially expressed in 6, with the highest sampling consensus in UCEC. Additionally, MIOXP1 RNA expression shows 6,836 significant gene co-expression associations, with the highest sampling consensus in PCPG. Together, these results highlight CESC, UCEC, and PCPG as cancer lineages where MIOXP1 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 MIOXP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MIOXP1 survival associations across molecular data types. MIOXP1 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MIOXP1 RNA expression–survival associations across cancer types. High MIOXP1 expression shows unfavorable associations in CESC, LIHC, BRCA, THYM and LUAD, but favorable associations in HNSC. The CESC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .003). Together, the overview and detailed table identify CESC as the clearest survival context for MIOXP1 RNA expression.
This table summarizes MIOXP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in UCEC for RNA.
This table ranks reproducible tumor–normal expression differences for MIOXP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MIOXP1 shows lower tumor expression in UCEC, KIRP, LUAD, ESCA and KIRC and higher tumor expression in KICH. The UCEC box plot shows higher MIOXP1 RNA expression in normal versus tumor tissue (log2 FC = −0.241, t-test p < 0.001).
This table shows molecular features associated with MIOXP1 in patient tissues and cancer cell lines. In patient samples, MIOXP1 shows the broadest associations at the RNA and protein expression levels, with PCPG recurring as the lineage with the largest associated feature set.
