Q-omics provides the consensus-scored UPP2-IT1 profile across patient tissues and cancer cell-line models. UPP2-IT1 expression is associated with patient survival in 17 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, UPP2-IT1 is differentially expressed in 5, with the highest sampling consensus in KICH. Additionally, UPP2-IT1 RNA expression shows 11,380 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight MESO, KICH, and KIRP as cancer lineages where UPP2-IT1 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 UPP2-IT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UPP2-IT1 survival associations across molecular data types. UPP2-IT1 RNA expression shows survival associations in the most cancer types (17). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UPP2-IT1 RNA expression–survival associations across cancer types. High UPP2-IT1 expression shows unfavorable associations in MESO, CHOL and BLCA, but favorable associations in UCEC, OV and LUAD. The MESO 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 MESO as the clearest survival context for UPP2-IT1 RNA expression.
This table summarizes UPP2-IT1 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 UPP2-IT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UPP2-IT1 shows lower tumor expression in KICH, KIRC, KIRP and LUSC and higher tumor expression in THCA. The KICH box plot shows higher UPP2-IT1 RNA expression in normal versus tumor tissue (log2 FC = −0.448, t-test p < 0.001).
This table shows molecular features associated with UPP2-IT1 in patient tissues and cancer cell lines. In patient samples, UPP2-IT1 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set.
