OTU deubiquitinase with linear linkage specificityGenealiases: AIPDS · AIPDSA · FAM105B · GUM · IMD107
Q-omics provides the consensus-scored OTULIN profile across patient tissues and cancer cell-line models. OTULIN expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, OTULIN is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, OTULIN protein abundance shows 20,657 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight MESO, HNSC, and GBM as cancer lineages where OTULIN 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 OTULIN — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes OTULIN survival associations across molecular data types. OTULIN RNA expression shows survival associations in the most cancer types (26), followed by mutation status (6) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible OTULIN RNA expression–survival associations across cancer types. High OTULIN expression shows unfavorable associations in MESO, KICH, UVM, LGG and LIHC, but favorable associations in HNSC. 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 OTULIN RNA expression.
This table summarizes OTULIN tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 6. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for OTULIN. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. OTULIN shows higher tumor expression in HNSC, KIRC, COAD, STAD, LIHC and LUAD. The HNSC box plot shows higher OTULIN RNA expression in tumor versus normal tissue (log2 FC = +1.081, t-test p < 0.001).
This table shows molecular features associated with OTULIN in patient tissues and cancer cell lines. In patient samples, OTULIN shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, OTULIN RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in BREAST and BLOOD_Leukemia.
