THE ROLE OF NEXT-GENERATION SEQUENCING IN LUNG CANCER DIAGNOSIS

Julia Moskalenko, Oleksandr Vynnychenko, Oksana Sulaieva, Roman Moskalenko
{"title":"THE ROLE OF NEXT-GENERATION SEQUENCING IN LUNG CANCER DIAGNOSIS","authors":"Julia Moskalenko, Oleksandr Vynnychenko, Oksana Sulaieva, Roman Moskalenko","doi":"10.21272/eumj.2023;11(3):214-223","DOIUrl":null,"url":null,"abstract":"Among all malignant neoplasms, lung cancer is the cause of death in approximately every fifth patient. Next-generation sequencing can solve the issue of not only diagnosis but also the further treatment of lung cancer. Aim. The work aims to search, process, generalize and bibliometrically analyze the scientific literature to study the main trends in next-generation sequencing in diagnosing non-small cell lung cancer. Materials and methods. One thousand nine hundred thirty-one literature sources, including information about next-generation sequencing, were published between 2010 and 2023. The data search was carried out in electronic databases Scopus, PubMed, Web of Science, and Google Scholar using keywords: \"lung cancer,\" \"next-generation sequencing,\" \"targeted therapy,\" \"genetic mutations,\" \"circulating tumor DNA,\" and \"liquid biopsy.\" The authors used the bibliometric tools of the Scopus and SciVal databases to analyze the year, source, type of study, subject area, and country of publication. Results and discussion. Next-generation sequencing is gradually becoming the new diagnostic standard. This technology allows to detect biological markers with high accuracy and specificity. Many studies have confirmed the effectiveness of next-generation sequencing for diagnosing lung cancer, assessing response to treatment and sensitivity to drug therapy, and predicting the prognosis of the disease. Lung cancer is one of the most common tumors with a high mutational load. Unique diagnostic panels allow for a short period to examine tumor tissue for a wide range of biological markers. The article aims to investigate the main areas of application of next-generation sequencing in patients with lung cancer and current clinical trials in this field. The bibliometric analysis of the scientific literature consisted of the study of publication activity from 2010 to 2023, the geography of publications, and the identification of scientific journals where the articles about the role of next-generation sequencing were publicized. Conclusions. Next-generation sequencing is widely used in medicine. This method can become one of the leading methods for diagnosing lung cancer because it can accurately identify specific biological markers. Tumor tissue embedded in paraffin blocks and various biological fluids can be used for diagnosis. Next-generation sequencing is effective even in cases where the amount of tumor tissue is limited and other methods cannot identify it. The advantages of the method are confirmed in clinical trials and described in many scientific publications of the leading countries of the world. As a result, next-generation sequencing appears to be an effective method for diagnosing lung cancer and selecting the most appropriate regimen of targeted or immunotherapy. Disadvantages of the method include the high cost in developing countries and the need for appropriate software.","PeriodicalId":488652,"journal":{"name":"Shìdnoukraïnsʹkij medičnij žurnal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Shìdnoukraïnsʹkij medičnij žurnal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.21272/eumj.2023;11(3):214-223","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Among all malignant neoplasms, lung cancer is the cause of death in approximately every fifth patient. Next-generation sequencing can solve the issue of not only diagnosis but also the further treatment of lung cancer. Aim. The work aims to search, process, generalize and bibliometrically analyze the scientific literature to study the main trends in next-generation sequencing in diagnosing non-small cell lung cancer. Materials and methods. One thousand nine hundred thirty-one literature sources, including information about next-generation sequencing, were published between 2010 and 2023. The data search was carried out in electronic databases Scopus, PubMed, Web of Science, and Google Scholar using keywords: "lung cancer," "next-generation sequencing," "targeted therapy," "genetic mutations," "circulating tumor DNA," and "liquid biopsy." The authors used the bibliometric tools of the Scopus and SciVal databases to analyze the year, source, type of study, subject area, and country of publication. Results and discussion. Next-generation sequencing is gradually becoming the new diagnostic standard. This technology allows to detect biological markers with high accuracy and specificity. Many studies have confirmed the effectiveness of next-generation sequencing for diagnosing lung cancer, assessing response to treatment and sensitivity to drug therapy, and predicting the prognosis of the disease. Lung cancer is one of the most common tumors with a high mutational load. Unique diagnostic panels allow for a short period to examine tumor tissue for a wide range of biological markers. The article aims to investigate the main areas of application of next-generation sequencing in patients with lung cancer and current clinical trials in this field. The bibliometric analysis of the scientific literature consisted of the study of publication activity from 2010 to 2023, the geography of publications, and the identification of scientific journals where the articles about the role of next-generation sequencing were publicized. Conclusions. Next-generation sequencing is widely used in medicine. This method can become one of the leading methods for diagnosing lung cancer because it can accurately identify specific biological markers. Tumor tissue embedded in paraffin blocks and various biological fluids can be used for diagnosis. Next-generation sequencing is effective even in cases where the amount of tumor tissue is limited and other methods cannot identify it. The advantages of the method are confirmed in clinical trials and described in many scientific publications of the leading countries of the world. As a result, next-generation sequencing appears to be an effective method for diagnosing lung cancer and selecting the most appropriate regimen of targeted or immunotherapy. Disadvantages of the method include the high cost in developing countries and the need for appropriate software.
新一代测序在肺癌诊断中的作用
在所有恶性肿瘤中,肺癌是大约五分之一患者死亡的原因。下一代测序不仅可以解决肺癌的诊断问题,还可以解决肺癌的进一步治疗问题。的目标。本工作旨在对科学文献进行检索、处理、归纳和文献计量学分析,研究新一代测序诊断非小细胞肺癌的主要趋势。材料和方法。2010年至2023年间,共发表了包括下一代测序信息在内的一千九百三十一篇文献。数据检索在电子数据库Scopus、PubMed、Web of Science和Google Scholar中进行,检索关键词为:“肺癌”、“下一代测序”、“靶向治疗”、“基因突变”、“循环肿瘤DNA”和“液体活检”。作者使用Scopus和SciVal数据库的文献计量工具来分析出版年份、来源、研究类型、主题领域和国家。结果和讨论。下一代测序正逐渐成为新的诊断标准。该技术能够以高精度和特异性检测生物标记物。许多研究已经证实了下一代测序在诊断肺癌、评估治疗反应和药物治疗敏感性以及预测疾病预后方面的有效性。肺癌是最常见的高突变负荷肿瘤之一。独特的诊断面板允许在短时间内检查肿瘤组织的广泛的生物标志物。本文旨在探讨下一代测序技术在肺癌患者中的主要应用领域及目前在该领域的临床试验情况。科学文献的计量学分析包括2010 - 2023年的出版活动研究、出版物的地理分布以及发表了关于下一代测序作用的文章的科学期刊的识别。结论。新一代测序技术在医学上有着广泛的应用。该方法可以准确地识别特定的生物标志物,可成为诊断肺癌的主要方法之一。肿瘤组织包埋在石蜡块和各种生物液体可用于诊断。即使在肿瘤组织数量有限、其他方法无法识别的情况下,下一代测序也很有效。该方法的优点在临床试验中得到证实,并在世界主要国家的许多科学出版物中进行了描述。因此,下一代测序似乎是诊断肺癌和选择最合适的靶向或免疫治疗方案的有效方法。这种方法的缺点包括在发展中国家的高成本和需要适当的软件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信