Q-omics provides the consensus-scored BFSP1 profile across patient tissues and cancer cell-line models. BFSP1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in OV. Among the 18 cancer types available for tumor–normal comparison, BFSP1 is differentially expressed in 9, with the highest sampling consensus in HNSC. Additionally, BFSP1 RNA expression shows 17,443 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight OV, HNSC, and KIRP as cancer lineages where BFSP1 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 BFSP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BFSP1 survival associations across molecular data types. BFSP1 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BFSP1 RNA expression–survival associations across cancer types. High BFSP1 expression shows unfavorable associations in LIHC, BRCA and KIRC, but favorable associations in OV, UCEC and ACC. The OV Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify OV as the clearest survival context for BFSP1 RNA expression.
This table summarizes BFSP1 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 2. The strongest signals are observed in HNSC for RNA and LSCC for protein.
This table ranks reproducible tumor–normal expression differences for BFSP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BFSP1 shows lower tumor expression in KIRC, THCA and KICH and higher tumor expression in HNSC, COAD and LIHC. The HNSC box plot shows higher BFSP1 RNA expression in tumor versus normal tissue (log2 FC = +1.675, t-test p < 0.001).
This table shows molecular features associated with BFSP1 in patient tissues and cancer cell lines. In patient samples, BFSP1 shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, BFSP1 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUSC, while CRISPR and shRNA rows add functional-dependency signals in UPPER_AERODIGESTIVE_TRACT and BLOOD_Leukemia.
