Q-omics provides the consensus-scored BPTFP1 profile across patient tissues and cancer cell-line models. BPTFP1 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, BPTFP1 is differentially expressed in 1, with the highest sampling consensus in HNSC. Additionally, BPTFP1 RNA expression shows 6,410 significant gene co-expression associations, with the highest sampling consensus in UCEC. Together, these results highlight UVM, HNSC, and UCEC as cancer lineages where BPTFP1 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 BPTFP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BPTFP1 survival associations across molecular data types. BPTFP1 RNA expression shows survival associations in the most cancer types (13). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BPTFP1 RNA expression–survival associations across cancer types. High BPTFP1 expression shows unfavorable associations in UVM, KIRC, READ, HNSC, LIHC and COAD. 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 BPTFP1 RNA expression.
This table summarizes BPTFP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 1. The strongest signals are observed in HNSC for RNA.
This table ranks reproducible tumor–normal expression differences for BPTFP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BPTFP1 shows lower tumor expression in HNSC. The HNSC box plot shows higher BPTFP1 RNA expression in normal versus tumor tissue (log2 FC = −0.017, t-test p = .040).
This table shows molecular features associated with BPTFP1 in patient tissues and cancer cell lines. In patient samples, BPTFP1 shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set.
