Q-omics provides the consensus-scored UPP2 profile across patient tissues and cancer cell-line models. UPP2 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, UPP2 is differentially expressed in 11, with the highest sampling consensus in KIRP. Additionally, UPP2 RNA expression shows 14,999 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight ACC, KIRP, and UVM as cancer lineages where UPP2 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 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UPP2 survival associations across molecular data types. UPP2 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UPP2 RNA expression–survival associations across cancer types. High UPP2 expression shows favorable associations in ACC, KIRP, UCEC, PAAD, KIRC and LGG. The ACC 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 ACC as the clearest survival context for UPP2 RNA expression.
This table summarizes UPP2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 11. The strongest signals are observed in KIRP for RNA.
This table ranks reproducible tumor–normal expression differences for UPP2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UPP2 shows lower tumor expression in KIRP, KIRC, KICH, BRCA and CHOL and higher tumor expression in THCA. The KIRP box plot shows higher UPP2 RNA expression in normal versus tumor tissue (log2 FC = −4.270, t-test p < 0.001).
This table shows molecular features associated with UPP2 in patient tissues and cancer cell lines. In patient samples, UPP2 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, UPP2 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 URINARY_TRACT and BLOOD_Lymphoma.
