Q-omics provides the consensus-scored BLID profile across patient tissues and cancer cell-line models. BLID expression is associated with patient survival in 15 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, BLID is differentially expressed in 4, with the highest sampling consensus in KIRC. Additionally, BLID RNA expression shows 14,060 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight ACC, KIRC, and LSCC as cancer lineages where BLID 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 BLID — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BLID survival associations across molecular data types. BLID RNA expression shows survival associations in the most cancer types (15), followed by mutation status (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BLID RNA expression–survival associations across cancer types. High BLID expression shows unfavorable associations in ACC, KIRP, READ, LUSC and UCEC, but favorable associations in ESCA. The ACC 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 ACC as the clearest survival context for BLID RNA expression.
This table summarizes BLID 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 KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for BLID. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BLID shows lower tumor expression in UCEC and BRCA and higher tumor expression in KIRC and LUAD. The KIRC box plot shows higher BLID RNA expression in tumor versus normal tissue (log2 FC = +0.045, t-test p = .002).
This table shows molecular features associated with BLID in patient tissues and cancer cell lines. In patient samples, BLID 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, BLID RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LIVER, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Myeloma and CNS.
