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[采用选择反应监测法对肺腺癌相关蛋白质进行定量靶向筛选]

[Quantitative targeted screening of proteins associated with lung adenocarcinoma cancer by the method of selected reaction monitoring].

作者信息

Kopylov A T, Tikhonova O V, Farafonova T E, Novikova S E, Shushkova N A, Shevchenko V E, Liao Pao-Chi, Archakov A I, Zgoda V G

机构信息

Institute of Biomedical Chemistry, Moscow, Russia.

Blokhin Russian Cancer Research Center, Moscow, Russia.

出版信息

Biomed Khim. 2018 Aug;64(4):368-375. doi: 10.18097/PBMC20186404368.

DOI:10.18097/PBMC20186404368
PMID:30135285
Abstract

In the present study, we applied selected reaction monitoring (SRM) to a group of proteins that were previously reported to be associated with lung cancer (Novikova S.E. et al. (2017) Biomeditsinskaya khimiya, 63, 181-210. [1]). Measurements were performed on 59 plasma samples. These samples included: 23 samples of plasma of patients diagnosed with lung adenocarcinoma (LAC), 11 samples of plasma of patients diagnosed with squamous cell lung carcinoma (SqCC), 25 samples of donors with no previous history of oncological diseases, and one pooled sample from each of the above group. As a result of the SRM measurements 52 proteins were detected at least in one individual plasma sample. Statistical analysis showed that there were two groups confidently differentiated by the concentration value of 8 proteins wherein 5 proteins displayed increased level (P00738, P26639, P21926, P08603, P51149) in LAC group and 3 proteins (P51884, O15162, Q8N2K0) indicated diminishing the concentration level towards the control level. Data on protein concentrations obtained for LAC and SqCC did not distinguish the samples by statistical clustering analysis. These potential biomarkers can be used for further development of methods for early diagnostics of lung cancer.

摘要

在本研究中,我们将选择反应监测(SRM)应用于一组先前报道与肺癌相关的蛋白质(Novikova S.E.等人,(2017年)《生物医学化学》,63卷,181 - 210页。[1])。对59份血浆样本进行了测量。这些样本包括:23份被诊断为肺腺癌(LAC)患者的血浆样本,11份被诊断为肺鳞状细胞癌(SqCC)患者的血浆样本,25份无肿瘤疾病既往史的供体血浆样本,以及上述每组各一份混合样本。通过SRM测量,在至少一份个体血浆样本中检测到了52种蛋白质。统计分析表明,有两组可通过8种蛋白质的浓度值可靠区分,其中5种蛋白质(P00738、P26639、P21926、P08603、P51149)在LAC组中水平升高,3种蛋白质(P51884、O15162、Q8N2K0)表明浓度水平向对照水平降低。通过统计聚类分析,LAC和SqCC的蛋白质浓度数据未能区分样本。这些潜在的生物标志物可用于肺癌早期诊断方法的进一步开发。

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