golgi associated PDZ and coiled-coil motif containingGenealiases: CAL · FIG · GOPC1 · PIST · dJ94G16.2
Q-omics provides the consensus-scored GOPC profile across patient tissues and cancer cell-line models. GOPC expression is associated with patient survival in 29 of 34 cancer types, with the highest sampling consensus in MESO. Among the 18 cancer types available for tumor–normal comparison, GOPC is differentially expressed in 13, with the highest sampling consensus in HNSC. Additionally, GOPC RNA expression shows 20,814 significant gene co-expression associations, with the highest sampling consensus in KIRP. Together, these results highlight MESO, HNSC, and KIRP as cancer lineages where GOPC 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 GOPC — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes GOPC survival associations across molecular data types. GOPC RNA expression shows survival associations in the most cancer types (29), followed by mutation status (4) 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 GOPC RNA expression–survival associations across cancer types. High GOPC expression shows unfavorable associations in MESO, BLCA and STAD, but favorable associations in UCS, KIRC and SKCM. The MESO 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 MESO as the clearest survival context for GOPC RNA expression.
This table summarizes GOPC 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 5. The strongest signals are observed in HNSC for RNA and HNSC for protein.
This table ranks reproducible tumor–normal expression differences for GOPC. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. GOPC shows lower tumor expression in THCA and KICH and higher tumor expression in HNSC, STAD, BLCA and CHOL. The HNSC box plot shows higher GOPC RNA expression in tumor versus normal tissue (log2 FC = +1.096, t-test p < 0.001).
This table shows molecular features associated with GOPC in patient tissues and cancer cell lines. In patient samples, GOPC shows the broadest associations at the RNA and protein expression levels, with KIRP recurring as the lineage with the largest associated feature set. In cancer cell lines, GOPC RNA and mutation anchors are most strongly linked to RNA-expression features, especially in BLOOD_Leukemia, while CRISPR and shRNA rows add functional-dependency signals in LUNG_SCLC and BREAST.
