BTB domain and CNC homolog 1Genealiases: BACH-1 · BTBD24
Q-omics provides the consensus-scored BACH1 profile across patient tissues and cancer cell-line models. BACH1 expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, BACH1 is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, BACH1 RNA expression shows 20,794 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight UVM, HNSC, and ACC as cancer lineages where BACH1 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 BACH1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BACH1 survival associations across molecular data types. BACH1 RNA expression shows survival associations in the most cancer types (26), followed by mutation status (5) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BACH1 RNA expression–survival associations across cancer types. High BACH1 expression shows unfavorable associations in UVM, LIHC, BLCA and MESO, but favorable associations in SKCM and UCS. The UVM 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 UVM as the clearest survival context for BACH1 RNA expression.
This table summarizes BACH1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9, while mass-spec protein shows differences in 4. The strongest signals are observed in HNSC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for BACH1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BACH1 shows lower tumor expression in KICH and UCEC and higher tumor expression in HNSC, KIRP, KIRC and ESCA. The HNSC box plot shows higher BACH1 RNA expression in tumor versus normal tissue (log2 FC = +0.711, t-test p < 0.001).
This table shows molecular features associated with BACH1 in patient tissues and cancer cell lines. In patient samples, BACH1 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, BACH1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BONE and BLOOD_Lymphoma.
