Evidence map›Paper›PMID 27666550›Full record

ArticleZhongguo fei ai za zhi = Chinese journal of lung cancer2016

[Preliminary Study of Differentially Expressed Serum Peptides of Advanced NSCLC Patients Responsive to EGFR-TKI and Their Clinical Significance].

Zihe Wang, Chuanhao Tang, Yi Liu, Bin Xu, Haifeng Qin, Yangyang Lei, Hongjun Gao, Kun He, Xiaoqing Liu

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Article in Zhongguo fei ai za zhi = Chinese journal of lung cancer, 2016. 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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5 · Who and what money

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9 authors.

Zihe WangDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China.
Chuanhao TangDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China.
Yi LiuLaboratory of Oncology, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China.
Bin XuNational Center of Biomedical Analysis, Beijing 100850, China.
Haifeng QinDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China.
Yangyang LeiDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China.
Hongjun GaoDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China.
Kun HeNational Center of Biomedical Analysis, Beijing 100850, China.
Xiaoqing LiuDepartment of Lung Cancer, Affiliated Hospital of Academy of Military Medical Sciences, Beijing 100071, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study aimed at using matrix-assisted laser desorption ionization - time of flight mass spectrometer (matrix-assisted laser desorption ionization time-of-flight mass spectrometry, MALDI-TOF-MS) screening the difference serum peptides during epidermal growth factor tyrosine kinase inhibitors (EGFR-TKIs) treatment and exploring their significance of advanced NSCLC patients.

methodsCollect 102 serum samples from 34 advanced NSCLC patients, which are before TKI treatment, best effect of treatment and after progession. Peptides were extracted from the samples and then detected by MALDI-TOF-MS system to get the mass spectra. The mass spectra data was analyzed by the ClinproToolTM software to identify the different serum peptides, and then analyzed the clinical significance of peptides.

resultsAmong the 34 patients who received TKI treatment, there were none evaluated as complete response (CR), 11 patients evaluated as PR and 23 patients evaluated as stable disease (SD), with the PFS was 8.0 months (95%CI: 6.6-11.2); overall survival (OS) was 11.4 months (95%CI: 10.6-16.5). After detected the serum from three different points of time, the result showed that they were totally different; 87 different peptide peaks were identified after analysis self-paired serum between the time of best effect and baseline, which included one statistically different [P<0.001, area under curve (AUC)≥0.9] peptide; 96 different peptide peaks were identified after analysis serum between the time of progression and baseline, which included 3 statistically different (P<0.001, AUC≥0.9) peptides; 115 different peptide peaks were identified after analysis serum between the time of progression and best effect, which included 4 statistically different (P<0.001, AUC≥0.9) peptides.

conclusionsTheserum peptides of NSCLC patients in the process of TKI treatment are dynamic and the different peptides may be associated with treatment effect and disease progression. However, the features and clinical significance of different peptides need to be validated in the future.
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Indexed as

AdultAgedCarcinoma, Non-Small-Cell LungErbB ReceptorsFemaleHumansLung NeoplasmsMaleMiddle AgedPeptidesProtein Kinase InhibitorsErbB ReceptorsPeptidesProtein Kinase Inhibitors

Identifiers

PMID27666550
PMCPMC5972953

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.