Q-omics provides the consensus-scored MT-TE profile across patient tissues and cancer cell-line models. MT-TE expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in CESC. Among the 18 cancer types available for tumor–normal comparison, MT-TE is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, MT-TE RNA expression shows 9,760 significant gene co-expression associations, with the highest sampling consensus in PCPG. Together, these results highlight CESC, KIRC, and PCPG as cancer lineages where MT-TE 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 MT-TE — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MT-TE survival associations across molecular data types. MT-TE RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible MT-TE RNA expression–survival associations across cancer types. High MT-TE expression shows unfavorable associations in DLBC, but favorable associations in CESC, LGG, KIRP, KIRC and PAAD. The CESC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .009). Together, the overview and detailed table identify CESC as the clearest survival context for MT-TE RNA expression.
This table summarizes MT-TE tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for MT-TE. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MT-TE shows lower tumor expression in KIRC, HNSC, BLCA, LUAD, LUSC and BRCA. The KIRC box plot shows higher MT-TE RNA expression in normal versus tumor tissue (log2 FC = −1.088, t-test p < 0.001).
This table shows molecular features associated with MT-TE in patient tissues and cancer cell lines. In patient samples, MT-TE shows the broadest associations at the RNA and protein expression levels, with PCPG recurring as the lineage with the largest associated feature set.
