Evidence map›Paper›PMID 30201065›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2018

[Endobronchial Ultrasound Guided Transbronchial Needle Aspiration for The Diagnosis and Genotyping of Lung Cancer].

Minjiang Chen, Chi Shao, Yan Xu, Xuefeng Sun, Jing Zhao, Yong Chen, Yuanyuan Zhao, Wei Zhong, Mengzhao Wang

Abstract read
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Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Minjiang ChenDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Chi ShaoDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Yan XuDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Xuefeng SunDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Jing ZhaoDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Yong ChenDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Yuanyuan ZhaoDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Wei ZhongDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.
Mengzhao WangDepartment of Respiratory Medicine, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100730, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEndobronchial ultrasound guided transbronchial needle aspiration (EBUS-TBNA) has emerged as an innovative technique for diagnosis and staging of lung cancer. But whether the procedure can provide enough tissue for the detection of gene mutations is still to be defined. Here we evaluated the efficacy of lung cancer diagnosis and gene analysis using samples obtain via EBUS-TBNA.

methodsPatients with suspected lung cancer and mediastinal lesions were referred for EBUS-TBNA. Diagnosis and sub-classifications were made by pathologists. Samples with non-squamous non small cell lung cancer sub type were tested for the EGFR and/or ALK mutations.

resultsA total of 377 patients were included in this study. The median needle passes were 2.07. Lung cancer was diagnosed in 213 patients. The diagnosis accuracy for malignancy was 92%. Epidermal growth factor receptor (EGFR) mutations, anaplasticlymphoma kinase (ALK) fusion genes and double genes analysis were successfully preformed in 84 (90%), 105 (95%) and 79 (90%) patients. The number of needle passes and the diameters of lymph node were not associated with the efficacy of gene testing in univariate analysis. However, samples of adenocarcinoma sub type showed a tendency associated with higher genotyping efficacy.

conclusionsTissue samples obtained through EBUS-TBNA are sufficient for pathological diagnosis and genetic analysis of lung cancer. The pathology type of sample affected genotyping efficacy.

Indexed as

Endoscopic Ultrasound-Guided Fine Needle AspirationGenotyping TechniquesAdultCarcinoma, Non-Small-Cell LungFeasibility StudiesFemaleHumansLung NeoplasmsMaleEndobronchial ultrasound guided transbronchial needle aspirationGene analysisLung neoplasms

Identifiers

PMID30201065
PMCPMC6137003

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