Q-omics provides the consensus-scored USP43 profile across patient tissues and cancer cell-line models. USP43 expression is associated with patient survival in 28 of 34 cancer types, with the highest sampling consensus in LUSC. Among the 18 cancer types available for tumor–normal comparison, USP43 is differentially expressed in 11, with the highest sampling consensus in KICH. Additionally, USP43 RNA expression shows 19,311 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LUSC, KICH, and THYM as cancer lineages where USP43 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 USP43 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes USP43 survival associations across molecular data types. USP43 RNA expression shows survival associations in the most cancer types (28), followed by mutation status (7) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible USP43 RNA expression–survival associations across cancer types. High USP43 expression shows unfavorable associations in LUSC, ACC, SKCM and OV, but favorable associations in LGG and STAD. The LUSC 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 LUSC as the clearest survival context for USP43 RNA expression.
This table summarizes USP43 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 2. The strongest signals are observed in BLCA for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for USP43. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. USP43 shows lower tumor expression in KICH and KIRC and higher tumor expression in BLCA, STAD, UCEC and CHOL. The KICH box plot shows higher USP43 RNA expression in normal versus tumor tissue (log2 FC = −1.396, t-test p < 0.001).
This table shows molecular features associated with USP43 in patient tissues and cancer cell lines. In patient samples, USP43 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, USP43 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 BLOOD_Leukemia and BLOOD_Lymphoma.
