biogenesis of ribosomes BRX1Genealiases: BRIX · BXDC2
Q-omics provides the consensus-scored BRIX1 profile across patient tissues and cancer cell-line models. BRIX1 expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, BRIX1 is differentially expressed in 14, with the highest sampling consensus in HNSC. Additionally, BRIX1 protein abundance shows 36,865 significant protein co-abundance associations, with the highest sampling consensus in LSCC. Together, these results highlight KIRP, HNSC, and LSCC as cancer lineages where BRIX1 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 BRIX1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes BRIX1 survival associations across molecular data types. BRIX1 RNA expression shows survival associations in the most cancer types (25), followed by mutation status (6) and mass-spec protein abundance (8). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible BRIX1 RNA expression–survival associations across cancer types. High BRIX1 expression shows unfavorable associations in KIRP, ACC, LIHC, KICH, UVM and BRCA. The KIRP 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 KIRP as the clearest survival context for BRIX1 RNA expression.
This table summarizes BRIX1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 14, while mass-spec protein shows differences in 12. The strongest signals are observed in KIRC for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for BRIX1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. BRIX1 shows higher tumor expression in HNSC, BLCA, KIRC, STAD, LIHC and LUAD. The HNSC box plot shows higher BRIX1 RNA expression in tumor versus normal tissue (log2 FC = +1.312, t-test p < 0.001).
This table shows molecular features associated with BRIX1 in patient tissues and cancer cell lines. In patient samples, BRIX1 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, BRIX1 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 BLOOD_Lymphoma.
