Q-omics provides the consensus-scored GATD3A profile across patient tissues and cancer cell-line models. GATD3A expression is associated with patient survival in 25 of 34 cancer types, with the highest sampling consensus in STAD. Additionally, GATD3A RNA expression shows 4,685 significant protein co-abundance associations, with the highest sampling consensus in OV. Together, these results highlight STAD, and OV as cancer lineages where GATD3A 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 GATD3A — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GATD3A survival associations across molecular data types. GATD3A RNA expression shows survival associations in the most cancer types (25), 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 GATD3A RNA expression–survival associations across cancer types. High GATD3A expression shows unfavorable associations in STAD, ACC, DLBC and CESC, but favorable associations in UCS and BLCA. The STAD Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .005). Together, the overview and detailed table identify STAD as the clearest survival context for GATD3A RNA expression.
This table shows molecular features associated with GATD3A in patient tissues and cancer cell lines. In patient samples, GATD3A shows the broadest associations at the RNA and protein expression levels, with OV recurring as the lineage with the largest associated feature set. In cancer cell lines, GATD3A RNA and mutation anchors are most strongly linked to RNA-expression features, especially in UPPER_AERODIGESTIVE_TRACT, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and LARGE_INTESTINE.
