Q-omics provides the consensus-scored TERF1P4 profile across patient tissues and cancer cell-line models. TERF1P4 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, TERF1P4 is differentially expressed in 6, with the highest sampling consensus in BRCA. Additionally, TERF1P4 RNA expression shows 12,597 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and BRCA as cancer lineages where TERF1P4 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 TERF1P4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes TERF1P4 survival associations across molecular data types. TERF1P4 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible TERF1P4 RNA expression–survival associations across cancer types. High TERF1P4 expression shows unfavorable associations in UVM, ESCA and KIRP, but favorable associations in KIRC, THCA and READ. 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 TERF1P4 RNA expression.
This table summarizes TERF1P4 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 BRCA for RNA.
This table ranks reproducible tumor–normal expression differences for TERF1P4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. TERF1P4 shows lower tumor expression in THCA and KICH and higher tumor expression in BRCA, PAAD, LUAD and LIHC. The BRCA box plot shows higher TERF1P4 RNA expression in tumor versus normal tissue (log2 FC = +0.031, t-test p = .006).
This table shows molecular features associated with TERF1P4 in patient tissues and cancer cell lines. In patient samples, TERF1P4 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
