Literature DB >> 29316748

[Preliminary study of exon sequence in pneumoconiosis and pneumoconiosis complicated with lung cancer using high-throughput sequencing technology].

M F Jiang1, L Li, Z Wang, C L Zhang, H Zhang.   

Abstract

Objective: The detection and analysis of exon mutations of pneumoconiosis and pneumoco-niosis complicated with lung cancer provide reference evidence for screening, clinical diagnosis and treatment and prognosis in pneumoconiosis and pneumoconiosis complicated with lung cancer.
Methods: The pathologi-cal tissue samples from 3 pneumoconiosis patients and 3 pneumoconiosis complicated with lung cancer pa-tients were collected. Genomic DNA was extracted and library was prepared. Exomes of the pathological tissue samples in pneumoconiosis patients and pneumoconiosis complicated with lung cancer patients were se-quenced using Ion Torrent PGM platform.
Results: Mutation genes FGFR3, PDGFRA, KDR, APC, EGFR, FGFR2, SMO, TP53, RET and CDKN2A were detected in pathological tissue samples of 3 pneumoconiosis patients; Mutation genes FGFR3, PDGFRA, KIT, KDR, APC, EGFR, FGFR2, TP53, RET, CDKN2A, ATM, NPM1, MET and FLT3 were detected in pathological tissue samples of 3 pneumoconiosis complicated with lung cancer patients (P<0.01) . FGFR3, PDGFRA were detected in pathological tissue samples of each pa-tient (mutation frequency>98%) ; Differential genes KIT, ATM, NPM1, MET and FLT3 were only detected in pathological tissue samples of pneumoconiosis complicated with lung cancer patients but not pneumoconio-sis patients.
Conclusion: A variety of exon mutations detected in pneumoconiosis patients and pneumoconiosis complicated with lung cancer patients using high-throughput sequencing technique have potential value of ap-plications in screening, clinical diagnosis and treatment and prognosis in pneumoconiosis and pneumoconiosis complicated with lung cancer.

Entities:  

Keywords:  Exome; Lung neoplasmis; Pneumoconiosis

Mesh:

Year:  2017        PMID: 29316748     DOI: 10.3760/cma.j.issn.1001-9391.2017.11.001

Source DB:  PubMed          Journal:  Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi        ISSN: 1001-9391


  1 in total

1.  Identification of key mutations in central nervous diffuse large B-cell lymphoma (DLBCL) by comprehensive analysis between sequencing and TCGA database.

Authors:  Chunhui Zhou; Yong Cui; Haomin Sun; Fan Yang; Hao Zhao; Luokai Huangfu; Jianning Zhang
Journal:  Transl Cancer Res       Date:  2021-06       Impact factor: 1.241

  1 in total

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