elongin A3 family member B, pseudogeneGenealiases: ELOA3 · ELOA3B · ELOA3CP · ELOA3L1 · EloA3C · Elongin-A3
Q-omics provides the consensus-scored ELOA3BP profile across patient tissues and cancer cell-line models. ELOA3BP expression is associated with patient survival in 10 of 34 cancer types, with the highest sampling consensus in MESO. Additionally, ELOA3BP RNA expression shows 4,446 significant gene co-expression associations, with the highest sampling consensus in COAD. Together, these results highlight MESO, and COAD as cancer lineages where ELOA3BP 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 ELOA3BP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ELOA3BP survival associations across molecular data types. ELOA3BP RNA expression shows survival associations in the most cancer types (10). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ELOA3BP RNA expression–survival associations across cancer types. High ELOA3BP expression shows unfavorable associations in MESO, CHOL, OV, SKCM, PRAD and PCPG. 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 ELOA3BP RNA expression.
This table shows molecular features associated with ELOA3BP in patient tissues and cancer cell lines. In patient samples, ELOA3BP shows the broadest associations at the RNA and protein expression levels, with COAD recurring as the lineage with the largest associated feature set. In cancer cell lines, ELOA3BP RNA and mutation anchors are most strongly linked to RNA-expression features, especially in SKIN, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia.
