Q-omics provides the consensus-scored ANG profile across patient tissues and cancer cell-line models. ANG expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, ANG is differentially expressed in 12, with the highest sampling consensus in KIRC. Additionally, ANG protein abundance shows 24,794 significant protein co-abundance associations, with the highest sampling consensus in BRCA. Together, these results highlight UVM, KIRC, and BRCA as cancer lineages where ANG 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 ANG — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes ANG survival associations across molecular data types. ANG RNA expression shows survival associations in the most cancer types (26), followed by mutation status (3) and mass-spec protein abundance (5). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible ANG RNA expression–survival associations across cancer types. High ANG expression shows unfavorable associations in ACC, LGG and LUSC, but favorable associations in UVM, KIRC and LIHC. The UVM 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 UVM as the clearest survival context for ANG RNA expression.
This table summarizes ANG tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 12, while mass-spec protein shows differences in 7. The strongest signals are observed in KIRC for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for ANG. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. ANG shows lower tumor expression in KICH, LUAD, LIHC, BRCA and LUSC and higher tumor expression in KIRC. The KIRC box plot shows higher ANG RNA expression in tumor versus normal tissue (log2 FC = +1.745, t-test p < 0.001).
This table shows molecular features associated with ANG in patient tissues and cancer cell lines. In patient samples, ANG shows the broadest associations at the RNA and protein expression levels, with BRCA recurring as the lineage with the largest associated feature set. In cancer cell lines, ANG RNA and mutation anchors are most strongly linked to RNA-expression features, especially in PANCREAS, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and BLOOD_Lymphoma.
