Q-omics provides the consensus-scored BLMH profile across patient tissues and cancer cell-line models. BLMH expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, BLMH is differentially expressed in 15, with the highest sampling consensus in KIRC. Additionally, BLMH RNA expression shows 19,606 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight MESO, KIRC, and LSCC as cancer lineages where BLMH 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 BLMH — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BLMH survival associations across molecular data types. BLMH RNA expression shows survival associations in the most cancer types (26), followed by mutation status (4) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BLMH RNA expression–survival associations across cancer types. High BLMH expression shows unfavorable associations in MESO, ACC, STAD and HNSC, but favorable associations in KIRC and LUSC. The MESO 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 MESO as the clearest survival context for BLMH RNA expression.
This table summarizes BLMH tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 15, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for BLMH. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BLMH shows lower tumor expression in KICH and higher tumor expression in KIRC, HNSC, COAD, LIHC and BRCA. The KIRC box plot shows higher BLMH RNA expression in tumor versus normal tissue (log2 FC = +0.555, t-test p < 0.001).
This table shows molecular features associated with BLMH in patient tissues and cancer cell lines. In patient samples, BLMH shows the broadest associations at the RNA and protein expression levels, with LSCC recurring as the lineage with the largest associated feature set. In cancer cell lines, BLMH RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SOFT_TISSUE, while CRISPR and shRNA rows add functional-dependency signals in SKIN and LARGE_INTESTINE.
