Q-omics provides the consensus-scored DEFB115 profile across patient tissues and cancer cell-line models. DEFB115 expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in HNSC. Additionally, DEFB115 RNA expression shows 4,761 significant gene co-expression associations, with the highest sampling consensus in COAD. Together, these results highlight HNSC, and COAD as cancer lineages where DEFB115 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 DEFB115 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DEFB115 survival associations across molecular data types. DEFB115 RNA expression shows survival associations in the most cancer types (13), followed by mutation status (1). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DEFB115 RNA expression–survival associations across cancer types. High DEFB115 expression shows unfavorable associations in HNSC, KIRC, LIHC, PAAD, KIRP and SKCM. The HNSC 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 HNSC as the clearest survival context for DEFB115 RNA expression.
This table shows molecular features associated with DEFB115 in patient tissues and cancer cell lines. In patient samples, DEFB115 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, DEFB115 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUSC, while CRISPR and shRNA rows add functional-dependency signals in LARGE_INTESTINE and BLOOD_Myeloma.
