Q-omics provides the consensus-scored ADAM3A profile across patient tissues and cancer cell-line models. ADAM3A expression is associated with patient survival in 13 of 34 cancer types, with the highest sampling consensus in LIHC. Additionally, ADAM3A RNA expression shows 6,237 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight LIHC, and STAD as cancer lineages where ADAM3A 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 ADAM3A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ADAM3A survival associations across molecular data types. ADAM3A RNA expression shows survival associations in the most cancer types (13), 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 ADAM3A RNA expression–survival associations across cancer types. High ADAM3A expression shows unfavorable associations in LIHC, ACC, KIRC, KIRP, PCPG and BRCA. The LIHC 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 LIHC as the clearest survival context for ADAM3A RNA expression.
This table shows molecular features associated with ADAM3A in patient tissues and cancer cell lines. In patient samples, ADAM3A shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set. In cancer cell lines, ADAM3A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in NCI60_ALL.
