Q-omics provides the consensus-scored ATG12P2 profile across patient tissues and cancer cell-line models. ATG12P2 expression is associated with patient survival in 19 of 34 cancer types, with the highest sampling consensus in BRCA. Among the 18 cancer types available for tumor–normal comparison, ATG12P2 is differentially expressed in 5, with the highest sampling consensus in KIRC. Additionally, ATG12P2 RNA expression shows 8,441 significant gene co-expression associations, with the highest sampling consensus in UVM. Together, these results highlight BRCA, KIRC, and UVM as cancer lineages where ATG12P2 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 ATG12P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ATG12P2 survival associations across molecular data types. ATG12P2 RNA expression shows survival associations in the most cancer types (19). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ATG12P2 RNA expression–survival associations across cancer types. High ATG12P2 expression shows unfavorable associations in LIHC, PAAD, LGG and MESO, but favorable associations in BRCA and CHOL. The BRCA Kaplan–Meier curve shows clear separation, with the low-expression group declining faster, consistent with the favorable association (log-rank p < 0.001). Together, the overview and detailed table identify BRCA as the clearest survival context for ATG12P2 RNA expression.
This table summarizes ATG12P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 5. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for ATG12P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ATG12P2 shows lower tumor expression in KIRC and higher tumor expression in STAD, BRCA, PRAD and KICH. The KIRC box plot shows higher ATG12P2 RNA expression in normal versus tumor tissue (log2 FC = −0.097, t-test p = .004).
This table shows molecular features associated with ATG12P2 in patient tissues and cancer cell lines. In patient samples, ATG12P2 shows the broadest associations at the RNA and protein expression levels, with UVM recurring as the lineage with the largest associated feature set.
