Q-omics provides the consensus-scored GOT2P2 profile across patient tissues and cancer cell-line models. GOT2P2 expression is associated with patient survival in 18 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, GOT2P2 is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, GOT2P2 RNA expression shows 15,653 significant gene co-expression associations, with the highest sampling consensus in DLBC. Together, these results highlight UCEC, KIRC, and DLBC as cancer lineages where GOT2P2 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 GOT2P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GOT2P2 survival associations across molecular data types. GOT2P2 RNA expression shows survival associations in the most cancer types (18). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible GOT2P2 RNA expression–survival associations across cancer types. High GOT2P2 expression shows unfavorable associations in UCEC, HNSC and MESO, but favorable associations in COAD, KIRC and ACC. The UCEC 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 UCEC as the clearest survival context for GOT2P2 RNA expression.
This table summarizes GOT2P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for GOT2P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GOT2P2 shows lower tumor expression in KIRC, THCA, CHOL and STAD and higher tumor expression in LUSC and LUAD. The KIRC box plot shows higher GOT2P2 RNA expression in normal versus tumor tissue (log2 FC = −0.405, t-test p < 0.001).
This table shows molecular features associated with GOT2P2 in patient tissues and cancer cell lines. In patient samples, GOT2P2 shows the broadest associations at the RNA and protein expression levels, with DLBC recurring as the lineage with the largest associated feature set.
