Q-omics provides the consensus-scored BOLL profile across patient tissues and cancer cell-line models. BOLL expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in LIHC. Among the 18 cancer types available for tumor–normal comparison, BOLL is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, BOLL RNA expression shows 11,529 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight LIHC, KIRC, and THYM as cancer lineages where BOLL 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 BOLL — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BOLL survival associations across molecular data types. BOLL RNA expression shows survival associations in the most cancer types (23), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BOLL RNA expression–survival associations across cancer types. High BOLL expression shows unfavorable associations in LIHC, DLBC, UVM, ACC, ESCA and PCPG. The LIHC 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 LIHC as the clearest survival context for BOLL RNA expression.
This table summarizes BOLL tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for BOLL. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BOLL shows lower tumor expression in KIRC and higher tumor expression in LUSC, UCEC, STAD, BLCA and LUAD. The KIRC box plot shows higher BOLL RNA expression in normal versus tumor tissue (log2 FC = −0.032, t-test p = .001).
This table shows molecular features associated with BOLL in patient tissues and cancer cell lines. In patient samples, BOLL shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set. In cancer cell lines, BOLL RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Myeloma, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Lymphoma and UPPER_AERODIGESTIVE_TRACT.
