Literature DB >> 23980680

Next-generation sequencing for lung cancer.

Kehua Wu1, R Stephanie Huang, Larry House, William Chi Cho.   

Abstract

Lung cancer is biologically aggressive and is the leading cause of cancer-related deaths. The development of lung cancer is unique in each patient according to clinical characterizations, prognosis, response and tolerance to treatment. Traditional capillary-based single-gene sequencing by a first-generation technique (known as Sanger sequencing) has been replaced by next-generation sequencing (NGS) since it allows massive parallel sequencing with lower cost and higher throughput. The NGS approach has made remarkable advances compared with traditional methods. We expect these methodologies to comprehensively interpret the global landscape of cancer and provide more information to fulfill the needs of personalized medicine. This review covers a brief introduction and summary on various NGS technologies, applications and important findings by NGS in lung cancer advances, including further discoveries in previously known target genes (EGFR, ALK and KRAS), the identification of additional lung cancer mutations and the global coordination of cancer genome studies.

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Year:  2013        PMID: 23980680     DOI: 10.2217/fon.13.102

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  11 in total

Review 1.  Next-generation sequencing-based clinical sequencing: toward precision medicine in solid tumors.

Authors:  Toshifumi Wakai; Pankaj Prasoon; Yuki Hirose; Yoshifumi Shimada; Hiroshi Ichikawa; Masayuki Nagahashi
Journal:  Int J Clin Oncol       Date:  2018-12-04       Impact factor: 3.402

Review 2.  Unraveling tumor grading and genomic landscape in lung neuroendocrine tumors.

Authors:  Giuseppe Pelosi; Mauro Papotti; Guido Rindi; Aldo Scarpa
Journal:  Endocr Pathol       Date:  2014-06       Impact factor: 3.943

Review 3.  An emerging place for lung cancer genomics in 2013.

Authors:  Marissa G Daniels; Rayleen V Bowman; Ian A Yang; Ramaswamy Govindan; Kwun M Fong
Journal:  J Thorac Dis       Date:  2013-10       Impact factor: 2.895

Review 4.  Integrating next-generation sequencing into clinical oncology: strategies, promises and pitfalls.

Authors:  Peter Horak; Stefan Fröhling; Hanno Glimm
Journal:  ESMO Open       Date:  2016-11-18

5.  Advancements in next-generation sequencing for diagnosis and treatment of non-small-cell lung cancer.

Authors:  Ying-Qiang Lu; Kai-Hua Lu
Journal:  Chronic Dis Transl Med       Date:  2017-03-11

6.  Targeted next-generation sequencing reveals recurrence-associated genomic alterations in early-stage non-small cell lung cancer.

Authors:  William C S Cho; Kien Thiam Tan; Victor W S Ma; Jacky Y C Li; Roger K C Ngan; Wah Cheuk; Timothy T C Yip; Yi-Ting Yang; Shu-Jen Chen
Journal:  Oncotarget       Date:  2018-11-20

7.  Differences in the genomic profiles of cell-free DNA between plasma, sputum, urine, and tumor tissue in advanced NSCLC.

Authors:  Zhen Wu; Zhen Yang; Chun Sun Li; Wei Zhao; Zhi Xin Liang; Yu Dai; Qiang Zhu; Kai Ling Miao; Dong Hua Cui; Liang An Chen
Journal:  Cancer Med       Date:  2019-02-14       Impact factor: 4.452

8.  Impact of EGFR mutation detection methods on the efficacy of erlotinib in patients with advanced EGFR-wild type lung adenocarcinoma.

Authors:  Jeng-Sen Tseng; Chih-Liang Wang; Ming-Shyan Huang; Chung-Yu Chen; Cheng-Yu Chang; Tsung-Ying Yang; Chi-Ren Tsai; Kun-Chieh Chen; Kuo-Hsuan Hsu; Meen-Hsin Tsai; Sung-Liang Yu; Kang-Yi Su; Chih-Wei Wu; Cheng-Ta Yang; Yuh-Min Chen; Gee-Chen Chang
Journal:  PLoS One       Date:  2014-09-12       Impact factor: 3.240

9.  EGFR with TKI-sensitive mutations in exon 19 is highly expressed and frequently detected in Chinese patients with lung squamous carcinoma.

Authors:  Aadil Ahmed Memon; Haiping Zhang; Ye Gu; Qian Luo; Jiajun Shi; Zixin Deng; Jian Ma; Wei Ma
Journal:  Onco Targets Ther       Date:  2017-09-18       Impact factor: 4.147

10.  A comparison of sequencing platforms and bioinformatics pipelines for compositional analysis of the gut microbiome.

Authors:  Imane Allali; Jason W Arnold; Jeffrey Roach; Maria Belen Cadenas; Natasha Butz; Hosni M Hassan; Matthew Koci; Anne Ballou; Mary Mendoza; Rizwana Ali; M Andrea Azcarate-Peril
Journal:  BMC Microbiol       Date:  2017-09-13       Impact factor: 3.605

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