Raman spectroscopy, a potential tool in diagnosis and prognosis of castration-resistant prostate cancer
Raman spectroscopy, a potential tool in diagnosis and prognosis of castration-resistant prostate cancer
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DOI：
10.1117/1.jbo.18.8.087001
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发表时间：
2013-08
影响因子：
3.5
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
中科院分区：
文献类型：
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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
摘要。目的：探讨拉曼光谱（RS）在去势抵抗性前列腺癌（CRPC）患者诊断及预后的可行性。材料和方法：利用Labram HR 800 RS检测PC细胞系（LNCaP和C4-2）和组织的拉曼光谱，然后应用主成分分析（PCA）和支持向量机（SVM）进行预测。采用留一交叉验证方法对支持向量机进行训练和测试。结果：入选患者50例，其中雄激素依赖性前列腺癌（ADPC）患者33例，CRPC患者17例。在细胞和组织模型中，CRPC和ADPC在1126、1170、1315至1338和1447 cm−1处的光谱变化被检测到，这些变化被分配到特定的氨基酸和DNA。PCA/SVM算法诊断CRPC组织的敏感性为88.2%，特异性为87.9%。此外，14例ADPC患者在12个月内进展为CRPC。这些患者根据他们的癌症是否在12个月内进展为CRPC分为两组。PCA/SVM对两组的鉴别灵敏度为85.7%，特异度为88.9%。结论：RS在CRPC的诊断和预后方面具有临床应用价值。
Abstract. Purpose: We evaluated the feasibility of Raman spectroscopy (RS) in diagnosis and prognosis of castration-resistant prostate cancer (CRPC) in patients with prostate cancer (PC). Materials and methods: Raman spectra are detected from PC cell lines (LNCaP and C4-2) and tissues using a Labram HR 800 RS. Then, principal component analysis (PCA) and support vector machine (SVM) are applied for prediction. A leave-one-out cross-validation is used to train and test the SVM. Results: There are 50 qualified patients, including 33 with androgen-dependent prostate cancer (ADPC) and 17 with CRPC. The spectral changes at 1126, 1170, 1315 to 1338, and 1447 cm−1 between CRPC and ADPC are detected in both cells and tissues models, which are assigned to specific amino acids and DNA. PCA/SVM algorithm provided a sensitivity of 88.2% and a specificity of 87.9% for diagnosing CRPC tissues. Furthermore, 14 patients with ADPC progressed to CRPC within 12 months. These patients are separated into two groups depending on whether their cancers progressed to CRPC within 12 months. PCA/SVM could differentiate these two groups with a sensitivity of 85.7% and a specificity of 88.9%. Conclusions: RS has the potential in diagnosis and prognosis of CRPC in clinical practice.