{"title":"Mutational and expression analysis of classical protein tyrosine phosphatase genes in pancreatic ductal adenocarcinoma","authors":"Maryam Naeem, Khursheed Ahmed, Aneesa Sultan","doi":"10.1016/j.compbiomed.2025.110319","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Pancreatic cancer is a highly lethal and aggressive malignancy with a minimal five-year survival rate (5 %) and a high mortality rate. The most common and fast-growing type of pancreatic cancer is PDAC, which constitutes 90 % of all cases.</div></div><div><h3>Objective</h3><div>Numerous signaling pathways are disrupted in PDAC. We explored the mutational status and expression profiling of classical protein tyrosine phosphatase (PTP) genes, which are vital regulators of multiple significant signaling pathways.</div></div><div><h3>Method</h3><div>Through whole exome sequencing, we identified potentially pathogenic non-synonymous variants that were subsequently analyzed <em>in-silico</em>. To validate these findings, quantitative real-time PCR was performed on blood samples from PDAC patients to assess the expression of deleterious genes.</div></div><div><h3>Results</h3><div>All the potential pathogenic variants were localized within the phosphatase domain 1, fibronectin type III domain, and the FERM domain of classical PTPs regions crucial for the proper functioning of the respective proteins. Among the analyzed genes, PTPN3, PTPN12, PTPRK, and PTPRZ1 were found statistically significant (<em>p</em> < 0.05), highlighting their potential as novel prognostic biomarkers and therapeutic targets for PDAC.</div></div><div><h3>Conclusion</h3><div>These findings hold particular relevance for the Pakistani population, offering valuable insights into the genetic landscape of this aggressive cancer.</div></div>","PeriodicalId":10578,"journal":{"name":"Computers in biology and medicine","volume":"193 ","pages":"Article 110319"},"PeriodicalIF":7.0000,"publicationDate":"2025-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers in biology and medicine","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0010482525006705","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Pancreatic cancer is a highly lethal and aggressive malignancy with a minimal five-year survival rate (5 %) and a high mortality rate. The most common and fast-growing type of pancreatic cancer is PDAC, which constitutes 90 % of all cases.
Objective
Numerous signaling pathways are disrupted in PDAC. We explored the mutational status and expression profiling of classical protein tyrosine phosphatase (PTP) genes, which are vital regulators of multiple significant signaling pathways.
Method
Through whole exome sequencing, we identified potentially pathogenic non-synonymous variants that were subsequently analyzed in-silico. To validate these findings, quantitative real-time PCR was performed on blood samples from PDAC patients to assess the expression of deleterious genes.
Results
All the potential pathogenic variants were localized within the phosphatase domain 1, fibronectin type III domain, and the FERM domain of classical PTPs regions crucial for the proper functioning of the respective proteins. Among the analyzed genes, PTPN3, PTPN12, PTPRK, and PTPRZ1 were found statistically significant (p < 0.05), highlighting their potential as novel prognostic biomarkers and therapeutic targets for PDAC.
Conclusion
These findings hold particular relevance for the Pakistani population, offering valuable insights into the genetic landscape of this aggressive cancer.
期刊介绍:
Computers in Biology and Medicine is an international forum for sharing groundbreaking advancements in the use of computers in bioscience and medicine. This journal serves as a medium for communicating essential research, instruction, ideas, and information regarding the rapidly evolving field of computer applications in these domains. By encouraging the exchange of knowledge, we aim to facilitate progress and innovation in the utilization of computers in biology and medicine.