Q-omics provides the consensus-scored TERT profile across patient tissues and cancer cell-line models. TERT expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in THCA. Among the 18 cancer types available for tumor–normal comparison, TERT is differentially expressed in 16, with the highest sampling consensus in BLCA. Additionally, TERT RNA expression shows 15,389 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight THCA, BLCA, and THYM as cancer lineages where TERT 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 TERT — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TERT survival associations across molecular data types. TERT RNA expression shows survival associations in the most cancer types (26), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TERT RNA expression–survival associations across cancer types. High TERT expression shows unfavorable associations in THCA, KIRP, MESO, UVM, ACC and KIRC. The THCA 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 THCA as the clearest survival context for TERT RNA expression.
This table summarizes TERT tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for TERT. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TERT shows higher tumor expression in BLCA, COAD, HNSC, LUAD, STAD and LIHC. The BLCA box plot shows higher TERT RNA expression in tumor versus normal tissue (log2 FC = +0.960, t-test p < 0.001).
This table shows molecular features associated with TERT in patient tissues and cancer cell lines. In patient samples, TERT shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, TERT RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and LARGE_INTESTINE.
