Q-omics provides the consensus-scored BACH1-IT3 profile across patient tissues and cancer cell-line models. BACH1-IT3 expression is associated with patient survival in 11 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, BACH1-IT3 is differentially expressed in 4, with the highest sampling consensus in HNSC. Additionally, BACH1-IT3 RNA expression shows 6,290 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight UVM, HNSC, and STAD as cancer lineages where BACH1-IT3 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-IT3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BACH1-IT3 survival associations across molecular data types. BACH1-IT3 RNA expression shows survival associations in the most cancer types (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BACH1-IT3 RNA expression–survival associations across cancer types. High BACH1-IT3 expression shows unfavorable associations in UVM, KIRC, SKCM, THCA, LUAD and KIRP. 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-IT3 RNA expression.
This table summarizes BACH1-IT3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 4. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for BACH1-IT3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BACH1-IT3 shows higher tumor expression in HNSC, ESCA, BRCA and KIRC. The HNSC box plot shows higher BACH1-IT3 RNA expression in tumor versus normal tissue (log2 FC = +0.044, t-test p = .014).
This table shows molecular features associated with BACH1-IT3 in patient tissues and cancer cell lines. In patient samples, BACH1-IT3 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
