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STK11 gene analysis reveals a significant number of splice mutations in Chinese PJS patients.
- Source :
-
Cancer Genetics . Jan2019, Vol. 230, p47-57. 11p. - Publication Year :
- 2019
-
Abstract
- Highlights • We validated that the combined usage of direct sequencing and MLPA can achieve a high detection rate in Chinese Han PJS patients. • We found significantly more splice mutations in Chinese Han PJS patients. • We suggest that wide usage of enteroscopy would be helpful in PJS surveillance. Abstract Background The combination of direct sequencing and multiple ligation-dependent probe amplification (MLPA) has resulted in an 80% detection rate of serine/threonine kinase 11 (STK11) gene mutations in Peutz-Jeghers syndrome (PJS); however, this rate varies in different ethnicities. Aims To test the efficacy of the combination in Chinese patients with PJS. Methods PJS probands visiting our center during one year were enrolled. Sanger sequencing and MLPA were used to detect STK11 mutations. Associations between the occurrence of severe complications and risk factors were analyzed statistically. Results We identified 47 PJS probands. Among them, 34 received an STK11 mutation test, revealing 23 point mutations and 2 exonic deletions. Nine of the mutations were splicing errors, reflecting a significantly higher proportion (p < 0.05). Laparotomy history existed for 33 of the probands, and seven families had a history of cancer. Statistical analysis revealed no associations between the occurrence of severe complications or cancers and risk factors. Conclusion The strategy achieved a high detection rate in Chinese people, validating its effectiveness. This cohort comprised a significantly higher proportion of splicing errors, reflecting the unique genetic characteristics Chinese people. No specific genotype-phenotype relationship was noted, while the wide usage of enteroscopy would benefit PJS surveillance. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 22107762
- Volume :
- 230
- Database :
- Academic Search Index
- Journal :
- Cancer Genetics
- Publication Type :
- Academic Journal
- Accession number :
- 133622108
- Full Text :
- https://doi.org/10.1016/j.cancergen.2018.11.008