UBA like domain containing 1Genealiases: FAM100A · PP11303
Q-omics provides the consensus-scored UBALD1 profile across patient tissues and cancer cell-line models. UBALD1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, UBALD1 is differentially expressed in 14, with the highest sampling consensus in COAD. Additionally, UBALD1 RNA expression shows 17,175 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight ACC, and COAD as cancer lineages where UBALD1 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 UBALD1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UBALD1 survival associations across molecular data types. UBALD1 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (3) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UBALD1 RNA expression–survival associations across cancer types. High UBALD1 expression shows unfavorable associations in ACC, ESCA and PRAD, but favorable associations in BRCA, UCEC and MESO. The ACC 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 ACC as the clearest survival context for UBALD1 RNA expression.
This table summarizes UBALD1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 3. The strongest signals are observed in COAD for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for UBALD1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UBALD1 shows lower tumor expression in KIRC and higher tumor expression in COAD, HNSC, BRCA, READ and ESCA. The COAD box plot shows higher UBALD1 RNA expression in tumor versus normal tissue (log2 FC = +1.361, t-test p < 0.001).
This table shows molecular features associated with UBALD1 in patient tissues and cancer cell lines. In patient samples, UBALD1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, UBALD1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma.
