Q-omics provides the consensus-scored CLBA1 profile across patient tissues and cancer cell-line models. CLBA1 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, CLBA1 is differentially expressed in 13, with the highest sampling consensus in KICH. Additionally, CLBA1 RNA expression shows 20,234 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight BRCA, KICH, and ACC as cancer lineages where CLBA1 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 CLBA1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes CLBA1 survival associations across molecular data types. CLBA1 RNA expression shows survival associations in the most cancer types (21), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible CLBA1 RNA expression–survival associations across cancer types. High CLBA1 expression shows unfavorable associations in ACC, LGG and UVM, but favorable associations in BRCA, KIRP and ESCA. The BRCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify BRCA as the clearest survival context for CLBA1 RNA expression.
This table summarizes CLBA1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 1. The strongest signals are observed in KICH for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for CLBA1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. CLBA1 shows lower tumor expression in KICH and higher tumor expression in COAD, BLCA, LIHC, HNSC and KIRP. The KICH box plot shows higher CLBA1 RNA expression in normal versus tumor tissue (log2 FC = −1.368, t-test p < 0.001).
This table shows molecular features associated with CLBA1 in patient tissues and cancer cell lines. In patient samples, CLBA1 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, CLBA1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in CNS and BLOOD_Lymphoma.
