Q-omics provides the consensus-scored USP32P2 profile across patient tissues and cancer cell-line models. USP32P2 expression is associated with patient survival in 20 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, USP32P2 is differentially expressed in 7, with the highest sampling consensus in KIRC. Additionally, USP32P2 RNA expression shows 10,689 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UCEC, KIRC, and THYM as cancer lineages where USP32P2 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 USP32P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP32P2 survival associations across molecular data types. USP32P2 RNA expression shows survival associations in the most cancer types (20). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible USP32P2 RNA expression–survival associations across cancer types. High USP32P2 expression shows unfavorable associations in UCEC, UVM, LUSC and LUAD, but favorable associations in ACC and READ. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify UCEC as the clearest survival context for USP32P2 RNA expression.
This table summarizes USP32P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 7. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for USP32P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP32P2 shows lower tumor expression in LUSC and higher tumor expression in KIRC, HNSC, CHOL, KIRP and PRAD. The KIRC box plot shows higher USP32P2 RNA expression in tumor versus normal tissue (log2 FC = +0.025, t-test p = .002).
This table shows molecular features associated with USP32P2 in patient tissues and cancer cell lines. In patient samples, USP32P2 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, USP32P2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in NCI60_ALL.
