Q-omics provides the consensus-scored UBE2G2 profile across patient tissues and cancer cell-line models. UBE2G2 expression is associated with patient survival in 24 of 34 cancer types, with the highest sampling consensus in COAD. Among the 18 cancer types available for tumor–normal comparison, UBE2G2 is differentially expressed in 13, with the highest sampling consensus in THCA. Additionally, UBE2G2 RNA expression shows 19,850 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight COAD, THCA, and ACC as cancer lineages where UBE2G2 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 UBE2G2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes UBE2G2 survival associations across molecular data types. UBE2G2 RNA expression shows survival associations in the most cancer types (24), followed by mutation status (2) and mass-spec protein abundance (4). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible UBE2G2 RNA expression–survival associations across cancer types. High UBE2G2 expression shows unfavorable associations in COAD, ACC, MESO, HNSC, OV and LIHC. The COAD 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 COAD as the clearest survival context for UBE2G2 RNA expression.
This table summarizes UBE2G2 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 13, while mass-spec protein shows differences in 2. The strongest signals are observed in THCA for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for UBE2G2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. UBE2G2 shows lower tumor expression in THCA, KICH, LUAD and BRCA and higher tumor expression in LIHC and CHOL. The THCA box plot shows higher UBE2G2 RNA expression in normal versus tumor tissue (log2 FC = −0.879, t-test p < 0.001).
This table shows molecular features associated with UBE2G2 in patient tissues and cancer cell lines. In patient samples, UBE2G2 shows the broadest associations at the RNA and protein expression levels, with ACC recurring as the lineage with the largest associated feature set. In cancer cell lines, UBE2G2 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in CNS, while CRISPR and shRNA rows add functional-dependency signals in BLOOD_Leukemia and BLOOD_Lymphoma.
