Q-omics provides the consensus-scored BOLA2P1 profile across patient tissues and cancer cell-line models. BOLA2P1 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in LUSC. Among the 18 cancer types available for tumor–normal comparison, BOLA2P1 is differentially expressed in 6, with the highest sampling consensus in COAD. Additionally, BOLA2P1 RNA expression shows 6,290 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LUSC, COAD, and STAD as cancer lineages where BOLA2P1 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 BOLA2P1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BOLA2P1 survival associations across molecular data types. BOLA2P1 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BOLA2P1 RNA expression–survival associations across cancer types. High BOLA2P1 expression shows unfavorable associations in CESC, LGG and LUAD, but favorable associations in LUSC, BLCA and UCS. The LUSC Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .012). Together, the overview and detailed table identify LUSC as the clearest survival context for BOLA2P1 RNA expression.
This table summarizes BOLA2P1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 6. The strongest signals are observed in COAD for RNA.
This table ranks reproducible tumor–normal expression differences for BOLA2P1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BOLA2P1 shows higher tumor expression in COAD, HNSC, BLCA, ESCA, LIHC and LUAD. The COAD box plot shows higher BOLA2P1 RNA expression in tumor versus normal tissue (log2 FC = +1.441, t-test p < 0.001).
This table shows molecular features associated with BOLA2P1 in patient tissues and cancer cell lines. In patient samples, BOLA2P1 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
