upper zone of growth plate and cartilage matrix associatedGenealiases: C10orf49 · GRP · GRP/UCMA
Q-omics provides the consensus-scored UCMA profile across patient tissues and cancer cell-line models. UCMA expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, UCMA is differentially expressed in 2, with the highest sampling consensus in THCA. Additionally, UCMA RNA expression shows 6,692 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight MESO, THCA, and STAD as cancer lineages where UCMA 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 UCMA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UCMA survival associations across molecular data types. UCMA RNA expression shows survival associations in the most cancer types (16), followed by mutation status (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UCMA RNA expression–survival associations across cancer types. High UCMA expression shows unfavorable associations in THCA, BLCA, THYM and LGG, but favorable associations in MESO and STAD. The MESO Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .005). Together, the overview and detailed table identify MESO as the clearest survival context for UCMA RNA expression.
This table summarizes UCMA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 2. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for UCMA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UCMA shows lower tumor expression in THCA and KIRP. The THCA box plot shows higher UCMA RNA expression in normal versus tumor tissue (log2 FC = −0.023, t-test p = .037).
This table shows molecular features associated with UCMA in patient tissues and cancer cell lines. In patient samples, UCMA shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, UCMA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_SCLC, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BLOOD_Leukemia.
