Q-omics provides the consensus-scored RNF208 profile across patient tissues and cancer cell-line models. RNF208 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, RNF208 is differentially expressed in 15, with the highest sampling consensus in HNSC. Additionally, RNF208 RNA expression shows 16,726 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight UVM, HNSC, and TGCT as cancer lineages where RNF208 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 RNF208 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RNF208 survival associations across molecular data types. RNF208 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RNF208 RNA expression–survival associations across cancer types. High RNF208 expression shows unfavorable associations in UCS, COAD and LIHC, but favorable associations in UVM, HNSC and SCLC. The UVM 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 UVM as the clearest survival context for RNF208 RNA expression.
This table summarizes RNF208 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for RNF208. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RNF208 shows lower tumor expression in HNSC, KIRC and KICH and higher tumor expression in COAD, LUAD and BRCA. The HNSC box plot shows higher RNF208 RNA expression in normal versus tumor tissue (log2 FC = −2.075, t-test p < 0.001).
This table shows molecular features associated with RNF208 in patient tissues and cancer cell lines. In patient samples, RNF208 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, RNF208 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in OESOPHAGUS and BONE.
