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Protein tyrosine phosphatase receptor-like genes are frequently hypermethylated in sporadic colorectal cancer

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posted on 2022-11-11, 20:38 authored by Izabela Laczmanska, Pawel Karpinski, Marek Bebenek, Tomasz Sedziak, David Ramsey, Elżbieta Szmida, Maria Malgorzata Sasiadek
Introduction: The activity of phosphatases could be influenced by genetic, as well as epigenetic alterations. In our study we have investigated the methylation status of four PTPRs: PTPRM, PTPRT, PTPRR and PTPRZ1, which were pre-selected using microarray techniques as being alternatively methylated in sporadic colorectal cancer. Materials and methods: The analyses were carried out on 131 surgical specimens obtained from sporadic colorectal cancer patients. The methylation status of the four genes was examined using MSP. Results: The analysis of promoter methylation using an Illumina 27K microarray revealed four protein tyrosine phosphatases PTPRM, PTPRT, PTPRR and PTPRZ1 as being hypermethylated with beta-value ≥ 0.2 and p≤0.05. Subsequent analysis using MSP confirmed these observations - the frequency of promoter methylation was significantly higher in tumor cells compared to matched normal tissue for each of the analyzed genes. There was no association observed between the methylation status of PTPRs and either CIMP, K-ras (codon 12) and BRAF (exon 15, V600E) mutations or tumor localization (proximal/distal). The results of our study show a statistically significant difference between promoter methylation in cancerous and healthy tissue. This result supports the hypothesis that the PTPR family plays an important role in the etiology of colorectal cancer.

History

Publication

Journal of Human Genetics;58 (1), pp. 11-5

Publisher

Nature Publishing Group

Note

peer-reviewed

Other Funding information

State Committee for Scientific Research, Polish Ministry for Scientific Research and Information Technology, European Social Fund, Human Capital, National Cohesion Strategy, SFI

Language

English

Also affiliated with

  • BIO-SI - Bio-Statistics & Informatics Project

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  • Mathematics & Statistics

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    University of Limerick

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