B cell acute lymphoblastic leukemia expressedGenealiases: []
Q-omics provides the consensus-scored BLACE profile across patient tissues and cancer cell-line models. BLACE expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, BLACE is differentially expressed in 5, with the highest sampling consensus in HNSC. Additionally, BLACE RNA expression shows 10,192 significant gene co-expression associations, with the highest sampling consensus in TGCT. Together, these results highlight ACC, HNSC, and TGCT as cancer lineages where BLACE 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 BLACE — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BLACE survival associations across molecular data types. BLACE RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BLACE RNA expression–survival associations across cancer types. High BLACE expression shows unfavorable associations in ACC, THCA and CHOL, but favorable associations in LUAD, BLCA and LUSC. 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 BLACE RNA expression.
This table summarizes BLACE tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for BLACE. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BLACE shows higher tumor expression in HNSC, COAD, LUSC, KIRC and LIHC. The HNSC box plot shows higher BLACE RNA expression in tumor versus normal tissue (log2 FC = +0.074, t-test p < 0.001).
This table shows molecular features associated with BLACE in patient tissues and cancer cell lines. In patient samples, BLACE shows the broadest associations at the RNA and protein expression levels, with TGCT recurring as the lineage with the largest associated feature set. In cancer cell lines, BLACE RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LARGE_INTESTINE.
