Muhammet Göktaş, Derya Karabulut, Ayhan Ünlü, Gkioulsoum Achmet, Nermin Tunçbilek
{"title":"基于磁共振成像的放射基因组学分析预测胰腺导管腺癌的预后和XRCC1基因多态性","authors":"Muhammet Göktaş, Derya Karabulut, Ayhan Ünlü, Gkioulsoum Achmet, Nermin Tunçbilek","doi":"10.1007/s12094-024-03763-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the prognostic effects of apparent diffusion coefficient (ADC) values, qualitative MRI findings, and XRCC1 polymorphism in patients with pancreatic ductal adenocarcinoma (PDAC).</p><p><strong>Methods: </strong>Between January 2019 and December 2021, 41 PDAC patients (23 males; 66.6 ± 8.9 years) diagnosed with MRI and treated with chemotherapy were included in this prospective, unicenter study. Quantitative b:0-800 ADC values were calculated at the workstation using a circular region of interest with a diameter of 2 cm<sup>2</sup>. Polymerase chain reaction restriction fragment length polymorphism was used to detect XRCC1 genotypes from blood samples. Demographic data, MRI findings, and survival times were recorded. Sensitivity, specificity of ADCmin values, and relationship between XRCC1 genes in predicting survival were calculated and compared.</p><p><strong>Results: </strong>The median overall survival time was calculated as 9.27 ± 1.4 months. The cut-off value of ADCmin was found to be 0.996 × 10<sup>-3</sup> mm<sup>2</sup>/s for predicting a 4.6-month survival with 77.3% sensitivity and 84.2% specificity. The distribution of XRCC1 codon 399 polymorphism was determined as 26.8% (n = 11) GG, 65.9% (n = 27) AG, and 7.3% (n = 3) AA. There was no statistical correlation between ADCmin values and XRCC1 gene polymorphism (p > 0.05). ADCmin < 0.996 × 10<sup>-3</sup> and the XRCC1 codon 399 AG/AA genotype was the subgroup with the worst prognosis (p = 0.035). The mean age at diagnosis was 71.0 ± 9.1 years in cases with GG genotype, while it was 64.6 ± 8.9 years in cases with AG/AA genotype, which was statistically significant (p = 0.038).</p><p><strong>Conclusions: </strong>ADCmin values are useful for predicting prognosis in patients with PDAC. XRCC1 gene polymorphism may affect the age at diagnosis.</p>","PeriodicalId":50685,"journal":{"name":"Clinical & Translational Oncology","volume":null,"pages":null},"PeriodicalIF":2.8000,"publicationDate":"2024-11-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"MRI-based radiogenomics analysis for predicting prognosis and XRCC1 gene polymorphism in pancreatic ductal adenocarcinoma.\",\"authors\":\"Muhammet Göktaş, Derya Karabulut, Ayhan Ünlü, Gkioulsoum Achmet, Nermin Tunçbilek\",\"doi\":\"10.1007/s12094-024-03763-3\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To evaluate the prognostic effects of apparent diffusion coefficient (ADC) values, qualitative MRI findings, and XRCC1 polymorphism in patients with pancreatic ductal adenocarcinoma (PDAC).</p><p><strong>Methods: </strong>Between January 2019 and December 2021, 41 PDAC patients (23 males; 66.6 ± 8.9 years) diagnosed with MRI and treated with chemotherapy were included in this prospective, unicenter study. Quantitative b:0-800 ADC values were calculated at the workstation using a circular region of interest with a diameter of 2 cm<sup>2</sup>. Polymerase chain reaction restriction fragment length polymorphism was used to detect XRCC1 genotypes from blood samples. Demographic data, MRI findings, and survival times were recorded. Sensitivity, specificity of ADCmin values, and relationship between XRCC1 genes in predicting survival were calculated and compared.</p><p><strong>Results: </strong>The median overall survival time was calculated as 9.27 ± 1.4 months. The cut-off value of ADCmin was found to be 0.996 × 10<sup>-3</sup> mm<sup>2</sup>/s for predicting a 4.6-month survival with 77.3% sensitivity and 84.2% specificity. The distribution of XRCC1 codon 399 polymorphism was determined as 26.8% (n = 11) GG, 65.9% (n = 27) AG, and 7.3% (n = 3) AA. There was no statistical correlation between ADCmin values and XRCC1 gene polymorphism (p > 0.05). ADCmin < 0.996 × 10<sup>-3</sup> and the XRCC1 codon 399 AG/AA genotype was the subgroup with the worst prognosis (p = 0.035). The mean age at diagnosis was 71.0 ± 9.1 years in cases with GG genotype, while it was 64.6 ± 8.9 years in cases with AG/AA genotype, which was statistically significant (p = 0.038).</p><p><strong>Conclusions: </strong>ADCmin values are useful for predicting prognosis in patients with PDAC. XRCC1 gene polymorphism may affect the age at diagnosis.</p>\",\"PeriodicalId\":50685,\"journal\":{\"name\":\"Clinical & Translational Oncology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-11-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical & Translational Oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1007/s12094-024-03763-3\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical & Translational Oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s12094-024-03763-3","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ONCOLOGY","Score":null,"Total":0}
MRI-based radiogenomics analysis for predicting prognosis and XRCC1 gene polymorphism in pancreatic ductal adenocarcinoma.
Purpose: To evaluate the prognostic effects of apparent diffusion coefficient (ADC) values, qualitative MRI findings, and XRCC1 polymorphism in patients with pancreatic ductal adenocarcinoma (PDAC).
Methods: Between January 2019 and December 2021, 41 PDAC patients (23 males; 66.6 ± 8.9 years) diagnosed with MRI and treated with chemotherapy were included in this prospective, unicenter study. Quantitative b:0-800 ADC values were calculated at the workstation using a circular region of interest with a diameter of 2 cm2. Polymerase chain reaction restriction fragment length polymorphism was used to detect XRCC1 genotypes from blood samples. Demographic data, MRI findings, and survival times were recorded. Sensitivity, specificity of ADCmin values, and relationship between XRCC1 genes in predicting survival were calculated and compared.
Results: The median overall survival time was calculated as 9.27 ± 1.4 months. The cut-off value of ADCmin was found to be 0.996 × 10-3 mm2/s for predicting a 4.6-month survival with 77.3% sensitivity and 84.2% specificity. The distribution of XRCC1 codon 399 polymorphism was determined as 26.8% (n = 11) GG, 65.9% (n = 27) AG, and 7.3% (n = 3) AA. There was no statistical correlation between ADCmin values and XRCC1 gene polymorphism (p > 0.05). ADCmin < 0.996 × 10-3 and the XRCC1 codon 399 AG/AA genotype was the subgroup with the worst prognosis (p = 0.035). The mean age at diagnosis was 71.0 ± 9.1 years in cases with GG genotype, while it was 64.6 ± 8.9 years in cases with AG/AA genotype, which was statistically significant (p = 0.038).
Conclusions: ADCmin values are useful for predicting prognosis in patients with PDAC. XRCC1 gene polymorphism may affect the age at diagnosis.
期刊介绍：
Clinical and Translational Oncology is an international journal devoted to fostering interaction between experimental and clinical oncology. It covers all aspects of research on cancer, from the more basic discoveries dealing with both cell and molecular biology of tumour cells, to the most advanced clinical assays of conventional and new drugs. In addition, the journal has a strong commitment to facilitating the transfer of knowledge from the basic laboratory to the clinical practice, with the publication of educational series devoted to closing the gap between molecular and clinical oncologists. Molecular biology of tumours, identification of new targets for cancer therapy, and new technologies for research and treatment of cancer are the major themes covered by the educational series. Full research articles on a broad spectrum of subjects, including the molecular and cellular bases of disease, aetiology, pathophysiology, pathology, epidemiology, clinical features, and the diagnosis, prognosis and treatment of cancer, will be considered for publication.
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