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利用下一代测序技术对选定的波兰乳腺癌患者肿瘤组织进行突变检测。

Mutation Detection in the Tumor Tissue from Selected Polish Patients with Breast Cancer Using Next Generation Sequencing.

机构信息

The F. Lukaszczyk Oncology Center, Molecular Oncology and Genetics Department, Innovative Medical Forum, 85-796 Bydgoszcz, Poland.

Department of Thoracic Surgery and Tumors, Ludwik Rydygier Collegium Medicum in Bydgoszcz, Nicolaus Copernicus University, 85-067 Torun, Poland.

出版信息

Genes (Basel). 2021 Apr 2;12(4):519. doi: 10.3390/genes12040519.

Abstract

(1) Background: Although, in the mutated detected in the Polish population of patients with breast cancer, there is a large percentage of recurrent pathogenic variants, an increasing need for the assessment of rare variants using NGS can be observed. (2) Methods: We studied 75 selected patients with breast cancer (negative for the presence of 5 mutations tested in the Polish population in the prophylactic National Cancer Control Program). DNA extracted from the cancer tissue of these patients was used to prepare a library and to sequence all coding regions of the genes. (3) Results: We detected nine pathogenic variants in 8 out of 75 selected patients (10.7%). We identified one somatic and eight germline variants. We also used different bioinformatic NGS software programs to analyze NGS FASTQ files and established that tertiary analysis performed with different tools was more likely to give the same outcome if we analyzed files received from secondary analysis using the same method. (4) Conclusions: Our study emphasizes (i) the importance of an NGS validation process with a bioinformatic procedure included; (ii) the importance of screening both somatic and germline pathogenic variants; (iii) the urgent need to identify additional susceptible genes in order to explain the high percentage of non--related hereditary cases of breast cancer.

摘要

(1) 背景:尽管在波兰乳腺癌患者群体中检测到的突变 中,存在很大比例的复发性致病变异,但使用 NGS 评估罕见变异的需求不断增加。(2) 方法:我们研究了 75 名经选择的乳腺癌患者(在波兰全国癌症控制计划中检测到的 5 种突变阴性)。从这些患者的癌症组织中提取的 DNA 用于制备文库,并对 基因的所有编码区进行测序。(3) 结果:我们在 75 名患者中的 8 名(10.7%)患者中发现了 9 种致病性变异。我们鉴定了一个体细胞和八个种系变体。我们还使用不同的 NGS 生物信息学软件程序分析 NGS FASTQ 文件,并确定如果我们使用相同的方法对二级分析接收到的文件进行三级分析,那么使用不同工具进行的三级分析更有可能产生相同的结果。(4) 结论:我们的研究强调了:(i) 进行 NGS 验证过程并包含生物信息学程序的重要性;(ii) 筛查体细胞和种系致病性变异的重要性;(iii) 迫切需要确定其他易感基因,以解释乳腺癌高比例的非遗传性病例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8d67/8065856/70e365e0af7e/genes-12-00519-g001.jpg

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