coat protein complex I subunit alphaGenealiases: AIAISD · AIAISD1 · AILJK · HEP-COP · alpha-COP
Q-omics provides the consensus-scored COPA profile across patient tissues and cancer cell-line models. COPA expression is associated with patient survival in 26 of 34 cancer types, with the highest sampling consensus in ACC. Among the 18 cancer types available for tumor–normal comparison, COPA is differentially expressed in 16, with the highest sampling consensus in LUAD. Additionally, COPA protein abundance shows 36,075 significant protein co-abundance associations, with the highest sampling consensus in GBM. Together, these results highlight ACC, LUAD, and GBM as cancer lineages where COPA 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 COPA — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes COPA survival associations across molecular data types. COPA RNA expression shows survival associations in the most cancer types (26), followed by mutation status (10) and mass-spec protein abundance (11). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible COPA RNA expression–survival associations across cancer types. High COPA expression shows unfavorable associations in ACC, KIRP, UVM, MESO and LIHC, but favorable associations in KIRC. The ACC 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 ACC as the clearest survival context for COPA RNA expression.
This table summarizes COPA tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 16, while mass-spec protein shows differences in 12. The strongest signals are observed in LUAD for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for COPA. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COPA shows lower tumor expression in THCA and higher tumor expression in LUAD, BLCA, HNSC, LIHC and KIRC. The LUAD box plot shows higher COPA RNA expression in tumor versus normal tissue (log2 FC = +0.930, t-test p < 0.001).
This table shows molecular features associated with COPA in patient tissues and cancer cell lines. In patient samples, COPA shows the broadest associations at the RNA and protein expression levels, with GBM recurring as the lineage with the largest associated feature set. In cancer cell lines, COPA RNA and mutation anchors are most strongly linked to RNA-expression features, especially in LUNG_NSCLC_LUAD, while CRISPR and shRNA rows add functional-dependency signals in KIDNEY and UPPER_AERODIGESTIVE_TRACT.
