Q-omics provides the consensus-scored DOC2GP profile across patient tissues and cancer cell-line models. DOC2GP expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KIRC. Among the 18 cancer types available for tumor–normal comparison, DOC2GP is differentially expressed in 9, with the highest sampling consensus in KIRC. Additionally, DOC2GP RNA expression shows 15,484 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight KIRC, and THYM as cancer lineages where DOC2GP 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 DOC2GP — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes DOC2GP survival associations across molecular data types. DOC2GP RNA expression shows survival associations in the most cancer types (23). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible DOC2GP RNA expression–survival associations across cancer types. High DOC2GP expression shows unfavorable associations in KIRC, ACC, KICH, UVM and COAD, but favorable associations in SKCM. The KIRC 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 KIRC as the clearest survival context for DOC2GP RNA expression.
This table summarizes DOC2GP tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 9. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for DOC2GP. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. DOC2GP shows lower tumor expression in THCA and BRCA and higher tumor expression in KIRC, LIHC, COAD and CHOL. The KIRC box plot shows higher DOC2GP RNA expression in tumor versus normal tissue (log2 FC = +0.303, t-test p < 0.001).
This table shows molecular features associated with DOC2GP in patient tissues and cancer cell lines. In patient samples, DOC2GP shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
