Q-omics provides the consensus-scored AK6P2 profile across patient tissues and cancer cell-line models. AK6P2 expression is associated with patient survival in 16 of 34 cancer types, with the highest sampling consensus in UCEC. Among the 18 cancer types available for tumor–normal comparison, AK6P2 is differentially expressed in 3, with the highest sampling consensus in THCA. Additionally, AK6P2 RNA expression shows 6,102 significant pathway-activity associations, with the highest sampling consensus in STAD. Together, these results highlight UCEC, THCA, and STAD as cancer lineages where AK6P2 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 AK6P2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes AK6P2 survival associations across molecular data types. AK6P2 RNA expression shows survival associations in the most cancer types (16). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible AK6P2 RNA expression–survival associations across cancer types. High AK6P2 expression shows unfavorable associations in UCEC, HNSC, LIHC, UVM, OV and STAD. The UCEC Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .009). Together, the overview and detailed table identify UCEC as the clearest survival context for AK6P2 RNA expression.
This table summarizes AK6P2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 3. The strongest signals are observed in THCA for RNA.
This table ranks reproducible tumor–normal expression differences for AK6P2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. AK6P2 shows lower tumor expression in THCA, KIRC and LUSC. The THCA box plot shows higher AK6P2 RNA expression in normal versus tumor tissue (log2 FC = −0.036, t-test p = .023).
This table shows molecular features associated with AK6P2 in patient tissues and cancer cell lines. In patient samples, AK6P2 shows the broadest associations at the RNA and protein expression levels, with STAD recurring as the lineage with the largest associated feature set.
