Q-omics provides the consensus-scored BRAT1 profile across patient tissues and cancer cell-line models. BRAT1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, BRAT1 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, BRAT1 protein abundance shows 18,866 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, HNSC, and GBM as cancer lineages where BRAT1 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 BRAT1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BRAT1 survival associations across molecular data types. BRAT1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (8) and mass-spec protein abundance (6). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BRAT1 RNA expression–survival associations across cancer types. High BRAT1 expression shows unfavorable associations in ACC, KIRC, UVM, LIHC, KICH and LGG. 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 BRAT1 RNA expression.
This table summarizes BRAT1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 9. The strongest signals are observed in KIRC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for BRAT1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BRAT1 shows higher tumor expression in HNSC, KIRC, COAD, LIHC, LUAD and KIRP. The HNSC box plot shows higher BRAT1 RNA expression in tumor versus normal tissue (log2 FC = +1.359, t-test p < 0.001).
This table shows molecular features associated with BRAT1 in patient tissues and cancer cell lines. In patient samples, BRAT1 shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, BRAT1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in OVARY and UPPER_AERODIGESTIVE_TRACT.
