Q-omics provides the consensus-scored UBAP1 profile across patient tissues and cancer cell-line models. UBAP1 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, UBAP1 is differentially expressed in 11, with the highest sampling consensus in THCA. Additionally, UBAP1 RNA expression shows 19,185 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight KIRC, THCA, and UVM as cancer lineages where UBAP1 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 UBAP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UBAP1 survival associations across molecular data types. UBAP1 RNA expression shows survival associations in the most cancer types (20), followed by mutation status (1) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UBAP1 RNA expression–survival associations across cancer types. High UBAP1 expression shows unfavorable associations in CESC and KICH, but favorable associations in KIRC, MESO, LGG and SKCM. 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 UBAP1 RNA expression.
This table summarizes UBAP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11, while mass-spec protein shows differences in 5. The strongest signals are observed in THCA for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for UBAP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UBAP1 shows lower tumor expression in THCA, KICH and BRCA and higher tumor expression in LIHC, HNSC and CHOL. The THCA box plot shows higher UBAP1 RNA expression in normal versus tumor tissue (log2 FC = −0.318, t-test p < 0.001).
This table shows molecular features associated with UBAP1 in patient tissues and cancer cell lines. In patient samples, UBAP1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set. In cancer cell lines, UBAP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BREAST, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE and BLOOD_Lymphoma.
