component of oligomeric golgi complex 2Genealiases: CDG2Q · LDLC
Q-omics provides the consensus-scored COG2 profile across patient tissues and cancer cell-line models. COG2 expression is associated with patient survival in 23 of 34 cancer types, with the highest sampling consensus in KICH. Among the 18 cancer types available for tumor–normal comparison, COG2 is differentially expressed in 13, with the highest sampling consensus in LUAD. Additionally, COG2 protein abundance shows 21,929 significant protein co-abundance associations, with the highest sampling consensus in UCEC. Together, these results highlight KICH, LUAD, and UCEC as cancer lineages where COG2 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 COG2 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes COG2 survival associations across molecular data types. COG2 RNA expression shows survival associations in the most cancer types (23), followed by mutation status (2) and mass-spec protein abundance (9). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible COG2 RNA expression–survival associations across cancer types. High COG2 expression shows unfavorable associations in KICH, CESC and KIRP, but favorable associations in BRCA, KIRC and COAD. The KICH Kaplan–Meier curve shows clear separation, with the high-expression group declining faster, consistent with the unfavorable association (log-rank p = .001). Together, the overview and detailed table identify KICH as the clearest survival context for COG2 RNA expression.
This table summarizes COG2 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 7. The strongest signals are observed in LUAD for RNA and LUAD for protein.
This table ranks reproducible tumor–normal expression differences for COG2. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COG2 shows lower tumor expression in THCA and KICH and higher tumor expression in LUAD, HNSC, LIHC and BRCA. The LUAD box plot shows higher COG2 RNA expression in tumor versus normal tissue (log2 FC = +0.949, t-test p < 0.001).
This table shows molecular features associated with COG2 in patient tissues and cancer cell lines. In patient samples, COG2 shows the broadest associations at the RNA and protein expression levels, with UCEC recurring as the lineage with the largest associated feature set. In cancer cell lines, COG2 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 UPPER_AERODIGESTIVE_TRACT and SOFT_TISSUE.
