Xi'an Jiaotong University, First Affiliated Hospital of Medical College, Department of Urology, Xi'an, Shaanxi, China.
J Biomed Opt. 2013 Aug;18(8):87001. doi: 10.1117/1.JBO.18.8.087001.
We evaluated the feasibility of Raman spectroscopy (RS) in diagnosis and prognosis of castration-resistant prostate cancer (CRPC) in patients with prostate cancer (PC).
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.
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%.
RS has the potential in diagnosis and prognosis of CRPC in clinical practice.
我们评估了拉曼光谱（RS）在诊断和预测前列腺癌（PC）患者去势抵抗性前列腺癌（CRPC）中的可行性。
使用 Labram HR 800 RS 从 PC 细胞系（LNCaP 和 C4-2）和组织中检测拉曼光谱。然后，应用主成分分析（PCA）和支持向量机（SVM）进行预测。采用留一法交叉验证对 SVM 进行训练和测试。
共有 50 名合格患者，其中 33 名患有雄激素依赖性前列腺癌（ADPC），17 名患有 CRPC。在细胞和组织模型中均检测到 CRPC 和 ADPC 之间在 1126、1170、1315 至 1338 和 1447 cm-1 处的光谱变化，这些变化被分配给特定的氨基酸和 DNA。PCA/SVM 算法对诊断 CRPC 组织的敏感性为 88.2%，特异性为 87.9%。此外，14 名 ADPC 患者在 12 个月内进展为 CRPC。这些患者根据其癌症是否在 12 个月内进展为 CRPC 分为两组。PCA/SVM 可以将这两组患者区分开来，敏感性为 85.7%，特异性为 88.9%。
RS 具有在临床实践中诊断和预测 CRPC 的潜力。
