Evaluation of Raman spectroscopy for diagnosing EGFR mutation status in lung adenocarcinoma.
Evaluation of Raman spectroscopy for diagnosing EGFR mutation status in lung adenocarcinoma.
复制标题
拉曼光谱诊断肺腺癌 EGFR 突变状态的评估。
DOI：
10.1039/c3an01381b
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发表时间：
2014-01
期刊：
影响因子：
4.2
通讯作者：
Wang, Xuejiao
中科院分区：
文献类型：
--
作者：
Li, Xiaofei;Zhang, Zhipei;Huang, Lijun;Li, Weimiao;Lu, Qiang;Wen, Miaomiao;Guo, Ting;Fan, Jinhai;Wang, Xuejiao
表皮生长因子受体（EGFR）基因的体细胞突变与肺腺癌患者对小分子酪氨酸激酶抑制剂的敏感性有关。本研究对153例肺腺癌组织的EGFR突变状态进行了DNA测序分析。其中，EGFR突变75例，其中E19del突变29例，L858R突变33例，T790M突变7例，多突变6例。然后，选择10个野生型(wt)-EGFR， 10个L858R和10个E19del突变的样本进行拉曼和免疫组织化学（IHC）分析。在去除正常和非突变区域的光谱后，发现441个光谱适合拉曼分析：wt-EGFR有149个，L858R有135个，E19del突变有157个。在wt-EGFR组织中，675、1107、1127和1582 cm（-1）处的拉曼峰显著升高，这可归因于特定的氨基酸和DNA。L858R组织中精氨酸在1085、1175和1632 cm（-1）处的拉曼峰略有增加。E19del组织的整体强度比其他组织弱，这是由于外显子19的缺失，删除了表达蛋白的746-750残基。采用主成分分析（PCA）和支持向量机（SVM）进行最终预测。PCA/SVM算法在wt-EGFR组织中诊断L858R或E19del的总体准确率为87.8%。最后，RS提供了一种基于分子特征预测EGFR突变状态的简单、快速和低成本的方法。
Somatic mutations in the epidermal growth factor receptor (EGFR) gene were associated with sensitivity to small molecule tyrosine kinase inhibitors for patients with lung adenocarcinomas. In this research, EGFR mutation status was analyzed by DNA sequencing in 153 lung adenocarcinoma tissues. Of these, 75 samples carried EGFR mutations, including 29 with E19del mutation, 33 with L858R mutation, 7 with T790M mutation, and 6 with multiple mutations. Then, 30 samples including 10 with wild type (wt)-EGFR, 10 with L858R and 10 with E19del mutations were selected for Raman and immunohistochemistry (IHC) analyses. After removing the spectra from normal and non-mutated regions, 441 spectra were found appropriate for Raman analysis: 149 from wt-EGFR, 135 from L858R and 157 from E19del mutations. The Raman peaks at 675, 1107, 1127 and 1582 cm(-1) were significantly increased in wt-EGFR tissues which can be attributed to specific amino acids and DNA. The Raman peaks at 1085, 1175 and 1632 cm(-1) assigned to arginine were slightly increased in L858R tissues. The overall intensity of E19del tissues was weaker than others due to exon 19 deletion that removes residues 746-750 of the expressed protein. Principal component analysis (PCA) and support vector machine (SVM) were applied for final prediction. The PCA/SVM algorithm yielded an overall accuracy of 87.8% for diagnosing L858R or E19del from wt-EGFR tissues. Finally, RS provides a simple, rapid and low-cost procedure based upon the molecular signatures for predicting EGFR mutation status.
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影响因子：
3.5
作者：
Sholl LM;Xiao Y;Joshi V;Yeap BY;Cioffredi LA;Jackman DM;Lee C;Jänne PA;Lindeman NI
通讯作者：
Lindeman NI
影响因子：
2.5
作者：
Min, YK;Yamamoto, T;Hamaguchi, H
通讯作者：
Hamaguchi, H
影响因子：
3.5
作者：
Lei Wang;D. He;J. Zeng;Zhenfeng guan;Q. Dang;Xin-yang Wang;Jun Wang;Liqing Huang;Peilong Cao;Guanjun Zhang;J. Hsieh;Jinhai Fan
通讯作者：
Lei Wang;D. He;J. Zeng;Zhenfeng guan;Q. Dang;Xin-yang Wang;Jun Wang;Liqing Huang;Peilong Cao;Guanjun Zhang;J. Hsieh;Jinhai Fan
DOI：
10.1111/j.1743-7563.2009.1234.x
发表时间：
2009-06
期刊：
Asia‐Pacific Journal of Clinical Oncology
影响因子：
--
作者：
Donghui Li;Jeffrey S. Morris;Jun Liu;Manal M Hassan;R. S. Day;Melissa L. Bondy;J. Abbruzzese
通讯作者：
Donghui Li;Jeffrey S. Morris;Jun Liu;Manal M Hassan;R. S. Day;Melissa L. Bondy;J. Abbruzzese
影响因子：
20.4
作者：
M. Short;S. Lam;A. Mcwilliams;D. Ionescu;H. Zeng
通讯作者：
M. Short;S. Lam;A. Mcwilliams;D. Ionescu;H. Zeng