biogenesis of lysosomal organelles complex 1 subunit 3Genealiases: BLOS3 · HPS8 · RP
Q-omics provides the consensus-scored BLOC1S3 profile across patient tissues and cancer cell-line models. BLOC1S3 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in BLCA. Among the 18 cancer types available for tumor–normal comparison, BLOC1S3 is differentially expressed in 16, with the highest sampling consensus in HNSC. Additionally, BLOC1S3 RNA expression shows 19,039 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight BLCA, HNSC, and ACC as cancer lineages where BLOC1S3 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 BLOC1S3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BLOC1S3 survival associations across molecular data types. BLOC1S3 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (2) 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 BLOC1S3 RNA expression–survival associations across cancer types. High BLOC1S3 expression shows unfavorable associations in LIHC, ACC, UCS, LAML and LGG, but favorable associations in BLCA. The BLCA 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 BLCA as the clearest survival context for BLOC1S3 RNA expression.
This table summarizes BLOC1S3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 5. The strongest signals are observed in KIRC for RNA and COAD for protein.
This table ranks reproducible tumor–normal expression differences for BLOC1S3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BLOC1S3 shows higher tumor expression in HNSC, KIRC, STAD, COAD, LIHC and KIRP. The HNSC box plot shows higher BLOC1S3 RNA expression in tumor versus normal tissue (log2 FC = +1.706, t-test p < 0.001).
This table shows molecular features associated with BLOC1S3 in patient tissues and cancer cell lines. In patient samples, BLOC1S3 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, BLOC1S3 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 LARGE_INTESTINE and BLOOD_Lymphoma.
