UTP18 small subunit processome componentGenealiases: CGI-48 · WDR50
Q-omics provides the consensus-scored UTP18 profile across patient tissues and cancer cell-line models. UTP18 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, UTP18 is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, UTP18 protein abundance shows 31,948 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRP, HNSC, and LSCC as cancer lineages where UTP18 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 UTP18 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UTP18 survival associations across molecular data types. UTP18 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UTP18 RNA expression–survival associations across cancer types. High UTP18 expression shows unfavorable associations in KIRP, ACC, LIHC and BLCA, but favorable associations in READ and KIRC. The KIRP 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 KIRP as the clearest survival context for UTP18 RNA expression.
This table summarizes UTP18 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 7. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for UTP18. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UTP18 shows higher tumor expression in HNSC, BLCA, STAD, LIHC, COAD and KIRP. The HNSC box plot shows higher UTP18 RNA expression in tumor versus normal tissue (log2 FC = +0.966, t-test p < 0.001).
This table shows molecular features associated with UTP18 in patient tissues and cancer cell lines. In patient samples, UTP18 shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, UTP18 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BONE, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and LUNG_SCLC.
