Q-omics provides the consensus-scored DEFB128 profile across patient tissues and cancer cell-line models. DEFB128 expression is associated with patient survival in 6 of 34 cancer types, with the highest sampling consensus in UCEC. Additionally, DEFB128 RNA expression shows 9,783 significant gene co-expression associations, with the highest sampling consensus in LUSC. Together, these results highlight UCEC, and LUSC as cancer lineages where DEFB128 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 DEFB128 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DEFB128 survival associations across molecular data types. DEFB128 RNA expression shows survival associations in the most cancer types (6), followed by mutation status (2). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DEFB128 RNA expression–survival associations across cancer types. High DEFB128 expression shows unfavorable associations in UCEC, GBM, BLCA, KIRC and STAD, but favorable associations in ESCA. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .006). Together, the overview and detailed table identify UCEC as the clearest survival context for DEFB128 RNA expression.
This table shows molecular features associated with DEFB128 in patient tissues and cancer cell lines. In patient samples, DEFB128 shows the broadest associations at the RNA and protein expression levels, with LUSC recurring as the lineage with the largest associated feature set. In cancer cell lines, DEFB128 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in SOFT_TISSUE.
