Q-omics provides the consensus-scored COILP1 profile across patient tissues and cancer cell-line models. COILP1 expression is associated with patient survival in 22 of 34 cancer types, with the highest sampling consensus in UVM. Among the 18 cancer types available for tumor–normal comparison, COILP1 is differentially expressed in 8, with the highest sampling consensus in KIRC. Additionally, COILP1 RNA expression shows 16,512 significant gene co-expression associations, with the highest sampling consensus in THYM. Together, these results highlight UVM, KIRC, and THYM as cancer lineages where COILP1 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 COILP1 — synthetic lethality, tumor antigen, and pembrolizumab response.
This table summarizes COILP1 survival associations across molecular data types. COILP1 RNA expression shows survival associations in the most cancer types (22). The rightmost column indicates the cancer type with the highest sampling consensus for each molecular layer.
This table ranks reproducible COILP1 RNA expression–survival associations across cancer types. High COILP1 expression shows unfavorable associations in UVM, KIRC, CESC, BRCA, ACC and CHOL. The UVM 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 UVM as the clearest survival context for COILP1 RNA expression.
This table summarizes COILP1 tumor–normal expression differences by data type. RNA shows broader differences across cancer types, with a lineage consensus of 8. The strongest signals are observed in KIRC for RNA.
This table ranks reproducible tumor–normal expression differences for COILP1. A negative fold-change indicates higher expression in normal tissue than in tumor tissue. COILP1 shows lower tumor expression in THCA and higher tumor expression in KIRC, BLCA, BRCA, KIRP and LIHC. The KIRC box plot shows higher COILP1 RNA expression in tumor versus normal tissue (log2 FC = +0.115, t-test p < 0.001).
This table shows molecular features associated with COILP1 in patient tissues and cancer cell lines. In patient samples, COILP1 shows the broadest associations at the RNA and protein expression levels, with THYM recurring as the lineage with the largest associated feature set.
