RNA transcription, translation and transport factorGenealiases: C14orf166 · CGI-99 · CGI99 · CLE · CLE7 · LCRP369
Q-omics provides the consensus-scored RTRAF profile across patient tissues and cancer cell-line models. RTRAF expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, RTRAF is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, RTRAF protein abundance shows 22,127 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight KICH, HNSC, and GBM as cancer lineages where RTRAF 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 RTRAF — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes RTRAF survival associations across molecular data types. RTRAF RNA expression shows survival associations in the most cancer types (21), followed by mutation status (3) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible RTRAF RNA expression–survival associations across cancer types. High RTRAF expression shows unfavorable associations in KICH, ACC, LIHC, HNSC, STAD and LUAD. The KICH 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 KICH as the clearest survival context for RTRAF RNA expression.
This table summarizes RTRAF tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 6. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for RTRAF. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. RTRAF shows higher tumor expression in HNSC, BLCA, LIHC, LUAD, KIRP and LUSC. The HNSC box plot shows higher RTRAF RNA expression in tumor versus normal tissue (log2 FC = +0.562, t-test p < 0.001).
This table shows molecular features associated with RTRAF in patient tissues and cancer cell lines. In patient samples, RTRAF shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, RTRAF 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_Myeloma and BLOOD_Leukemia.
