About: 应用多肽芯片研究非小细胞肺癌患者血清中的EGFR自身抗体

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About: 应用多肽芯片研究非小细胞肺癌患者血清中的EGFR自身抗体 Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	应用多肽芯片研究非小细胞肺癌患者血清中的EGFR自身抗体
Creator	Li, Yuan Wang, Yue Xu, Shaofa Gu, Meng Yue, Wentao Zhang, Lina
Source	Medline; PMC
abstract	BACKGROUND AND OBJECTIVE: Autoantibodies as new tumor markers may play an important role in the early diagnosis and evaluating the prognosis of lung cancer. In this study, we detect epidermal growth factor receptor (EGFR) autoantibodies using peptide array and screen the epitopes which are recognized by EGFR autoantibodies. METHODS: Peptide array covering the extracellular domain of EGFR protein was synthesized by a synthesizer (ASPSL) made by Intavis company. EGFR autoantibodies in the serums of non-small cell lung cancer patients was detected using peptide array. RESULTS: Six of 20 patients were found to have EGFR autoantibodis. The positive rate is 30%. Nine high frequency spots were found in the 6 positive patients and 8 high frequency spots clustered in the Ⅲ and Ⅳ domains. CONCLUSION: These findings will offer new clues for the futher studies of EGFR and EGFR autoantibodies.
has issue date	2010-07-20(xsd:dateTime)
bibo:doi	10.3779/j.issn.1009-3419.2010.07.13
bibo:pmid	20673491
has license	cc-by
sha1sum (hex)	a6f478369adbfd8be967251a9bb0dd17fa436c45
schema:url	https://doi.org/10.3779/j.issn.1009-3419.2010.07.13
resource representing a document's title	应用多肽芯片研究非小细胞肺癌患者血清中的EGFR自身抗体
has PubMed Central identifier	PMC6000384
has PubMed identifier	20673491
schema:publication	Zhongguo Fei Ai Za Zhi
resource representing a document's body	covid:a6f478369adbfd8be967251a9bb0dd17fa436c45#body_text
is schema:about of	named entity 'PATIENTS' named entity 'A56' named entity 'ROLE' named entity 'AUTOANTIBODIES' named entity 'PROGNOSIS' named entity 'EGFR' named entity 'OF LUNG CANCER' named entity 'NSCLC' named entity 'EGFR' named entity 'DETECTING' named entity '80%' named entity 'BA30' named entity 'BACKGROUND' named entity 'EARLY DIAGNOSIS' named entity 'NEW' named entity '90%' named entity 'GROWTH FACTOR RECEPTOR' named entity 'OBJECTIVE' named entity 'EVALUATING' named entity '80%' named entity 'SERUMS' named entity 'PLAY' named entity 'TUMOR MARKERS' named entity 'IMPORTANT' named entity 'PEPTIDE ARRAY' named entity 'AUTOANTIBODIES' covid:arg/a6f478369adbfd8be967251a9bb0dd17fa436c45 named entity 'EGFR' named entity 'Autoantibodies' named entity 'NSCLC' named entity 'Autoantibodies' named entity 'epidermal growth factor receptor' named entity 'early diagnosis' named entity 'tumor markers' named entity 'lung cancer' named entity 'prognosis' named entity 'Peptide'
is wasQuotedFrom of	covid:arg/a6f478369adbfd8be967251a9bb0dd17fa436c45/0 covid:arg/a6f478369adbfd8be967251a9bb0dd17fa436c45/1
is part of of	covid:a6f478369adbfd8be967251a9bb0dd17fa436c45#body_text 应用多肽芯片研究非小细胞肺癌患者血清中的EGFR自身抗体 BACKGROUND AND OBJECTIVE: Autoantibodies as new tumor markers may play an important role in the early diagnosis and evaluating the prognosis of lung cancer. In this study, we detect epidermal growth factor receptor (EGFR) autoantibodies using peptide array and screen the epitopes which are recognized by EGFR autoantibodies. METHODS: Peptide array covering the extracellular domain of EGFR protein was synthesized by a synthesizer (ASPSL) made by Intavis company. EGFR autoantibodies in the serums of non-small cell lung cancer patients was detected using peptide array. RESULTS: Six of 20 patients were found to have EGFR autoantibodis. The positive rate is 30%. Nine high frequency spots were found in the 6 positive patients and 8 high frequency spots clustered in the Ⅲ and Ⅳ domains. CONCLUSION: These findings will offer new clues for the futher studies of EGFR and EGFR autoantibodies.

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