如今，SCI论文体系已俨然成为评价个人、团队及国家医学研究水平与临床诊治能力的相对客观指标。
凭借单病病例数量多、各病种覆盖范围广，我国医者研究成果本应在各类SCI排行榜有更加突出的表现，但截止目前仍有很大的提升空间。究其原因有三：一是国内多年应试英语教育导致广大医学专业人士只会“纸上谈兵”而缺乏真正的语言运用能力，更不必说难度大、内容多且专业性极强的医学英语了；二是包括临床一线繁重工作在内的课业压力使得用于个人提升的闲暇时间少之又少；三是全国范围内还尚缺一专注于帮助大家利用零散时间“碎片化”学习医学文献的领路团队！
因此，由“聊聊医学英语的故事”微信公众平台全力打造的中国首个真正意义上的SCI文献研读系列音频节目「医学文献百家谈」应运而生！
本期音频包含：
1.开场导引
2.原文朗读
3.语句分析
4.知识讲解
5.写作提示
Opening BGM Heartbeat of Man
Closing BGM Hope Always
Cortisol, cortisone, and 4-methoxyphenylacetic acid as potential plasma biomarkers for early detection of non-small cell lung cancer.
氢化可的松、可的松及4-甲氧基苯乙酸作为非小细胞肺癌早期识别的潜在血浆生物标志物
Xiang C1, Jin S1, Zhang J1, Chen M2,3, Xia Y2,3, Shu Y1, Guo R1.
Author Information
1 Department of Medical Oncology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, P.R. China.
2 State Key Laboratory of Reproductive Medicine, Institute of Toxicology, Nanjing Medical University, Nanjing, P.R. China.
3 Key Laboratory of Modern Toxicology of Ministry of Education, Nanjing Medical University, Nanjing, P.R. China.
Abstract
摘要
BACKGROUND:
Lung cancer is the most common cause of cancer-related deaths in men and women worldwide. Novel diagnostic biomarkers are urgently required to enable the early detection and treatment of lung cancer, and using novel methods to explore tumor-related biomarkers is a hot topic in lung cancer research. The purpose of this study was to use ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS) metabolomics analysis technology combined with multivariate data processing methods to identify potential plasma biomarkers for non-small cell lung cancer (NSCLC).
背景：
肺癌是全世界范围内男、女性癌症相关死亡的最常见病因，因此亟待开发新的诊断生物标志物从而实现肺癌的早期识别和治疗，同时使用新的方法探寻肿瘤相关标识物是肺癌研究中的一个热点话题。本研究的目的是通过使用超高效液相色谱串联质谱法代谢组学分析技术结合多元数据处理方法来确定非小细胞肺癌的潜在血浆生物标志物。
METHODS:
Plasma samples from 99 NSCLC patients and 112 healthy controls were randomly divided into the screening group and the validation group, respectively. UPLC-MS metabolomics analysis technology combined with multivariate data processing methods were used to identify potential plasma biomarkers for NSCLC.
方法：
99名非小细胞肺癌患者及112名健康对照者的血浆样本分别随机分成筛查组及验证组，使用超高效液相色谱串联质谱法代谢组学分析技术结合多元数据处理方法确定非小细胞肺癌的潜在血浆标志物。
RESULTS:
A total of 254 metabolites were detected and validated in plasma. Orthogonal Projections to Latent Structures Discriminant Analysis (OPLS-DA) modeling indicated that 28 endogenous metabolites were present at significantly different levels in patients with NSCLC than healthy controls (variable importance in projection (VIP)>1 and P<0.001 (independent="" samples="" t-test)="" in="" both="" the="" screening="" group="" and="" the="" validation="" group).="" further="" analysis="" revealed="" that="" cortisol,="" cortisone,="" and="" 4-methoxyphenylacetic="" acid="" had="" high="" sensitivity="" and="" specificity="" values="" as="" biomarkers="" for="" discriminating="" between="" nsclc="" and="" healthy="" controls.="" significant="" associations="" between="" specific="" plasma="" metabolites="" and="" the="" pathological="" type="" or="" stage="" of="" nsclc="" were="" also="">
结果：
检测、验证血浆中共254种代谢物。正交偏最小二乘判别分析显示28种内源性代谢物在非小细胞肺癌患者中水平显著不同于健康对照者（变量投影重要性指标（VIP）＞1）且P＜0.001（独立样本t检验）），包括筛查组与验证组。进一步分析显示氢化可的松、可的松及4-甲氧基苯乙酸是鉴别非小细胞肺癌与健康对照者的高敏感性和特异性生物标志物指标，我们也观察到特异血浆代谢物和非小细胞肺癌病理类型或分期之间的显著联系。
CONCLUSIONS:
Metabolomics has the potential to distinguish between NSCLC patients and healthy controls, and may reveal new plasma biomarkers for the early detection of NSCLC. （Int J Biol Markers. 2018 Jun 1:1724600818778754. doi: 10.1177/1724600818778754.）
结论：
代谢组学具有鉴别非小细胞肺癌患者与健康对照者的潜能，或许能够揭示非小细胞肺癌早期识别的新的血浆生物标志物。
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