Q-omics provides the consensus-scored RTL4 profile across patient tissues and cancer cell-line models. RTL4 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, RTL4 is differentially expressed in 6, with the highest sampling consensus in THCA. Additionally, RTL4 RNA expression shows 12,565 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight KIRC, THCA, and TGCT as cancer lineages where RTL4 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 RTL4 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RTL4 survival associations across molecular data types. RTL4 RNA expression shows survival associations in the most cancer types (19), followed by mutation status (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RTL4 RNA expression–survival associations across cancer types. High RTL4 expression shows unfavorable associations in STAD and SCLC, but favorable associations in KIRC, HNSC, THCA and KIRP. The KIRC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify KIRC as the clearest survival context for RTL4 RNA expression.
This table summarizes RTL4 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 THCA for RNA.
This table ranks reproducible tumor–normal expression differences for RTL4. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RTL4 shows lower tumor expression in KICH, KIRP, KIRC, CHOL and LIHC and higher tumor expression in THCA. The THCA box plot shows higher RTL4 RNA expression in tumor versus normal tissue (log2 FC = +2.697, t-test p < 0.001).
This table shows molecular features associated with RTL4 in patient tissues and cancer cell lines. In patient samples, RTL4 shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, RTL4 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 LIVER and BLOOD_Leukemia.
