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OncoTargets and Therapy Volume 10, 2017 - Issue
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Original Research

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

Aadil Ahmed Memon1 State Key Laboratory of Microbial Metabolism, School of Life Sciences & Biotechnology, Shanghai Jiao Tong University
,
Haiping Zhang2 Oncology Department
,
Ye Gu3 Endoscope Department, Shanghai Pulmonary Hospital, Tongji University School of Medicine
,
Qian Luo4 Core Facility and Technical Service Center, School of Life Science and Biotechnology, Shanghai Jiao Tong University
,
Jiajun Shi1 State Key Laboratory of Microbial Metabolism, School of Life Sciences & Biotechnology, Shanghai Jiao Tong University
,
Zixin Deng1 State Key Laboratory of Microbial Metabolism, School of Life Sciences & Biotechnology, Shanghai Jiao Tong University
,
Jian Ma5 Pneumology Department, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, ChinaCorrespondence[email protected]
&
Wei Ma1 State Key Laboratory of Microbial Metabolism, School of Life Sciences & Biotechnology, Shanghai Jiao Tong UniversityCorrespondence[email protected]
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Pages 4607-4613 | Published online: 18 Sep 2017

Citations (5)

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Read on this site (1)

Xiaoyi Qin, Xiaolong Gu, Yingru Lu & Wei Zhou. (2018) EGFR-TKI-sensitive mutations in lung carcinomas: are they related to clinical features and CT findings?. Cancer Management and Research 10, pages 4019-4027.
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Articles from other publishers (4)

Alireza Abi & Afsaneh Safavi. (2019) Targeted Detection of Single-Nucleotide Variations: Progress and Promise. ACS Sensors 4:4, pages 792-807.
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Xiaowei Qiu, Hang Yuan & Bin Sima. (2019) Relationship between EGFR mutation and computed tomography characteristics of the lung in patients with lung adenocarcinoma . Thoracic Cancer 10:2, pages 170-174.
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Rui Zhang, Tong-tong Zhang, Gao-qiang Zhai, Xian-yu Guo, Yuan Qin, Ting-qing Gan, Yu Zhang, Gang Chen, Wei-jia Mo & Zhen-bo Feng. (2018) Evaluation of the HOXA11 level in patients with lung squamous cancer and insights into potential molecular pathways via bioinformatics analysis. World Journal of Surgical Oncology 16:1.
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Xiuzhi Zhou, Li Cai, Junjie Liu, Xiaomin Hua, Ying Zhang, Huilin Zhao, Bin Wang, Boqing Li & Pengzhou Gai. (2018) Analyzing EGFR mutations and their association with clinicopathological characteristics and prognosis of patients with lung adenocarcinoma. Oncology Letters.
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