component of oligomeric golgi complex 8Genealiases: CDG2H · DOR1
Q-omics provides the consensus-scored COG8 profile across patient tissues and cancer cell-line models. COG8 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in KIRP. Among the 18 cancer types available for tumor–normal comparison, COG8 is differentially expressed in 13, with the highest sampling consensus in KIRP. Additionally, COG8 RNA expression shows 20,406 significant gene co-expression associations, with the highest sampling consensus in ACC. Together, these results highlight KIRP, and ACC as cancer lineages where COG8 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 COG8 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes COG8 survival associations across molecular data types. COG8 RNA expression shows survival associations in the most cancer types (22), followed by mutation status (7) and mass-spec protein abundance (7). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible COG8 RNA expression–survival associations across cancer types. High COG8 expression shows unfavorable associations in BLCA, ACC and LIHC, but favorable associations in KIRP, KIRC and PAAD. The KIRP 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 KIRP as the clearest survival context for COG8 RNA expression.
This table summarizes COG8 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 6. The strongest signals are observed in KIRP for RNA and CCRCC for protein.
This table ranks reproducible tumor–normal expression differences for COG8. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COG8 shows lower tumor expression in KICH and THCA and higher tumor expression in KIRP, LIHC, COAD and HNSC. The KIRP box plot shows higher COG8 RNA expression in tumor versus normal tissue (log2 FC = +0.884, t-test p < 0.001).
This table shows molecular features associated with COG8 in patient tissues and cancer cell lines. In patient samples, COG8 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, COG8 RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Lymphoma, while CRISPR and shRNA rows add functional-dependency signals in OVARY and BLOOD_Leukemia.
