Q-omics provides the consensus-scored TERC profile across patient tissues and cancer cell-line models. TERC expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ESCA. Among the 18 cancer types available for tumor–normal comparison, TERC is differentially expressed in 9, with the highest sampling consensus in THCA. Additionally, TERC RNA expression shows 8,163 significant gene co-expression associations, with the highest sampling consensus in SARC. Together, these results highlight ESCA, THCA, and SARC as cancer lineages where TERC 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 TERC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TERC survival associations across molecular data types. TERC 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 TERC RNA expression–survival associations across cancer types. High TERC expression shows unfavorable associations in ESCA, KIRP, UCEC and SKCM, but favorable associations in BLCA and THYM. The ESCA 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 ESCA as the clearest survival context for TERC RNA expression.
This table summarizes TERC tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for TERC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TERC shows lower tumor expression in THCA, KIRC and KICH and higher tumor expression in UCEC, LUSC and COAD. The THCA box plot shows higher TERC RNA expression in normal versus tumor tissue (log2 FC = −0.412, t-test p < 0.001).
This table shows molecular features associated with TERC in patient tissues and cancer cell lines. In patient samples, TERC shows the broadest associations at the RNA and protein expression levels, with SARC recurring as the lineage with the largest associated feature set. In cancer cell lines, TERC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in SKIN.
