Q-omics provides the consensus-scored BCRP1 profile across patient tissues and cancer cell-line models. BCRP1 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in HNSC. Among the 18 cancer types available for tumor–normal comparison, BCRP1 is differentially expressed in 4, with the highest sampling consensus in KICH. Additionally, BCRP1 RNA expression shows 9,462 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight HNSC, KICH, and ACC as cancer lineages where BCRP1 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 BCRP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BCRP1 survival associations across molecular data types. BCRP1 RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BCRP1 RNA expression–survival associations across cancer types. High BCRP1 expression shows unfavorable associations in KIRC, STAD, GBM, COAD and LGG, but favorable associations in HNSC. The HNSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .001). Together, the overview and detailed table identify HNSC as the clearest survival context for BCRP1 RNA expression.
This table summarizes BCRP1 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 KICH for RNA.
This table ranks reproducible tumor–normal expression differences for BCRP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BCRP1 shows lower tumor expression in KICH and higher tumor expression in CHOL, ESCA and LIHC. The KICH box plot shows higher BCRP1 RNA expression in normal versus tumor tissue (log2 FC = −0.086, t-test p < 0.001).
This table shows molecular features associated with BCRP1 in patient tissues and cancer cell lines. In patient samples, BCRP1 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set.
