Q-omics provides the consensus-scored UNGP1 profile across patient tissues and cancer cell-line models. UNGP1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, UNGP1 is differentially expressed in 5, with the highest sampling consensus in KICH. Additionally, UNGP1 RNA expression shows 8,187 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight UVM, and KICH as cancer lineages where UNGP1 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 UNGP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UNGP1 survival associations across molecular data types. UNGP1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UNGP1 RNA expression–survival associations across cancer types. High UNGP1 expression shows unfavorable associations in UVM, STAD, ESCA, THYM, LGG and TGCT. The UVM 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 UVM as the clearest survival context for UNGP1 RNA expression.
This table summarizes UNGP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in KICH for RNA.
This table ranks reproducible tumor–normal expression differences for UNGP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UNGP1 shows lower tumor expression in KICH, UCEC and COAD and higher tumor expression in HNSC and LIHC. The KICH box plot shows higher UNGP1 RNA expression in normal versus tumor tissue (log2 FC = −0.379, t-test p < 0.001).
This table shows molecular features associated with UNGP1 in patient tissues and cancer cell lines. In patient samples, UNGP1 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
