Q-omics provides the consensus-scored MT-TL1 profile across patient tissues and cancer cell-line models. MT-TL1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, MT-TL1 is differentially expressed in 11, with the highest sampling consensus in HNSC. Additionally, MT-TL1 RNA expression shows 15,368 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, HNSC, and ACC as cancer lineages where MT-TL1 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-TL1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes MT-TL1 survival associations across molecular data types. MT-TL1 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 MT-TL1 RNA expression–survival associations across cancer types. High MT-TL1 expression shows unfavorable associations in UVM, LIHC, ACC, CHOL and LUAD, but favorable associations in BLCA. The UVM 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 UVM as the clearest survival context for MT-TL1 RNA expression.
This table summarizes MT-TL1 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 HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for MT-TL1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. MT-TL1 shows lower tumor expression in HNSC, KIRP and KIRC and higher tumor expression in LIHC, COAD and KICH. The HNSC box plot shows higher MT-TL1 RNA expression in normal versus tumor tissue (log2 FC = −1.461, t-test p < 0.001).
This table shows molecular features associated with MT-TL1 in patient tissues and cancer cell lines. In patient samples, MT-TL1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
