Q-omics provides the consensus-scored BROX profile across patient tissues and cancer cell-line models. BROX expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, BROX is differentially expressed in 12, with the highest sampling consensus in BLCA. Additionally, BROX RNA expression shows 20,464 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRC, BLCA, and ACC as cancer lineages where BROX 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 BROX — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BROX survival associations across molecular data types. BROX RNA expression shows survival associations in the most cancer types (24), followed by mutation status (3) and mass-spec protein abundance (3). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BROX RNA expression–survival associations across cancer types. High BROX expression shows unfavorable associations in ACC, UVM, KIRP and KICH, but favorable associations in KIRC and COAD. The KIRC 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 KIRC as the clearest survival context for BROX RNA expression.
This table summarizes BROX tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 4. The strongest signals are observed in BLCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for BROX. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BROX shows lower tumor expression in KICH and higher tumor expression in BLCA, LIHC, KIRP, HNSC and BRCA. The BLCA box plot shows higher BROX RNA expression in tumor versus normal tissue (log2 FC = +1.025, t-test p < 0.001).
This table shows molecular features associated with BROX in patient tissues and cancer cell lines. In patient samples, BROX 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, BROX RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Lymphoma.
