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Updated: Jan 9, 2026

Deficient Pms2, ERCC1, Ku86, CcOI in Field Defects During Progression to Colon Cancer
Published on: July 28, 2010
DNA polymerase epsilon-mutant colorectal cancers: Insights into non-exonuclease domain mutation variants,
Ismail Taskiran1, Seda Orenay-Boyacioglu2, Olcay Boyacioglu3
1Department of Gastroenterology, School of Medicine, Aydin Adnan Menderes University, Aydin 09010, Türkiye.
Background:
Although the relationship between somatic DNA polymerase epsilon (POLE) exonuclease domain mutations (EDMs) and colorectal cancer (CRC) is well established, the role of POLE non-EDMs in CRC remains unclear.
Aim:
To identify POLE non-EDMs and EDMs in CRC, and to determine their associations with accompanying mutations and microsatellite instability (MSI).
Methods:
In this retrospective study, next-generation sequencing was performed using a targeted colon cancer panel (Qiagen, DHS-003Z) on 356 CRC patients. Of these, 191 patients were found to carry POLE mutations. For these patients, MSI status was assessed using both real-time PCR (EasyPGX® Ready MSI kit) and immunohistochemistry, and accompanying somatic mutations were investigated.
Results:
POLE mutations were identified in 53.65% of the CRC patients. Among the POLE-mutant patients, 87.96% were classified as pMMR (MSI-L), and 12.04% as dMMR (MSI-H). The most frequently observed POLE non-EDM variant was exon 34 c.4337_4338delTG p.V1446fs*3. The POLE EDMs were present in exon 14, with two specific variants p.Y458F (0.52%) and p.Y468N (0.52%). The most common pathogenic variants accompanying the POLE mutations were in MLH3, MSH3, KRAS, PIK3CA, and BRAF genes. POLE mutations were associated with a high mutational burden and MSI in CRC, particularly in the dMMR phenotype. This association suggests that POLE mutations may serve as important biomarkers for understanding the genetic profile of the disease and may be used in the clinical management of CRC.
Conclusion:
POLE mutations, especially non-EDMs, are frequent in MSI-L CRC and often co-occur with MLH3, MSH3, KRAS, PIK3CA, and BRAF, highlighting their potential role in tumor biology and as biomarkers for personalized treatment. Functional validation and multicenter studies are needed.
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