Q-omics provides the consensus-scored GOT2P3 profile across patient tissues and cancer cell-line models. GOT2P3 expression is associated with patient survival in 21 of 34 cancer types, with the highest sampling consensus in READ. Among the 18 cancer types available for tumor–normal comparison, GOT2P3 is differentially expressed in 10, with the highest sampling consensus in KIRC. Additionally, GOT2P3 RNA expression shows 14,539 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight READ, KIRC, and DLBC as cancer lineages where GOT2P3 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 GOT2P3 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GOT2P3 survival associations across molecular data types. GOT2P3 RNA expression shows survival associations in the most cancer types (21). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GOT2P3 RNA expression–survival associations across cancer types. High GOT2P3 expression shows unfavorable associations in UCEC and HNSC, but favorable associations in READ, ACC, COAD and KIRC. The READ Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p = .003). Together, the overview and detailed table identify READ as the clearest survival context for GOT2P3 RNA expression.
This table summarizes GOT2P3 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 10. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for GOT2P3. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GOT2P3 shows lower tumor expression in KIRC, THCA and CHOL and higher tumor expression in LUSC, BRCA and COAD. The KIRC box plot shows higher GOT2P3 RNA expression in normal versus tumor tissue (log2 FC = −0.315, t-test p < 0.001).
This table shows molecular features associated with GOT2P3 in patient tissues and cancer cell lines. In patient samples, GOT2P3 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
