Vibrational spectroscopy for cervical cancer pathology, from biochemical analysis to diagnostic tool

Vibrational spectroscopy for cervical cancer pathology, from biochemical analysis to diagnostic tool
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DOI:
10.1016/j.yexmp.2007.01.001
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发表时间:
2007-04-01
影响因子:
3.6
通讯作者:
Byrne, H. J.
Byrne, H. J.
中科院分区:
医学3区
文献类型:
--
作者:
Lyng, F. M.;Faolain, E. O.;Byrne, H. J.

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宫颈癌是世界范围内女性第二常见的癌症,80%的病例发生在发展中国家。如果在发展的早期阶段或癌前状态(宫颈上皮内瘤变,CIN)检测到这种疾病,则可以降低与宫颈癌相关的死亡率。本研究的目的是调查潜在的拉曼光谱作为一种诊断工具,以检测伴随宫颈癌进展的生化变化。从蛋白质、核酸、脂质和碳水化合物获得拉曼光谱,以便深入了解细胞和组织的生化组成。光谱也从正常,CIN和浸润性癌组织的组织学样品从40例患者。进行光谱的多变量分析以开发区分正常组织与异常组织的分类模型。结果表明,拉曼光谱显示出对疾病进展过程中组织中的生化变化的高灵敏度,从而在区分正常宫颈组织、浸润性癌和宫颈上皮内瘤变(CIN)时产生异常的预测准确性。拉曼光谱作为宫颈癌和其他癌症的快速非侵入性诊断工具显示出巨大的临床潜力。(c)2007年爱思唯尔公司All rights reserved.
Cervical cancer is the second most common cancer in women worldwide with 80% of cases arising in the developing world. The mortality associated with cervical cancer can be reduced if this disease is detected at the early stages of development or at the pre-malignant state (cervical intraepithelial neoplasia, CIN). The aim of this study was to investigate the potential of Raman spectroscopy as a diagnostic tool to detect biochemical changes accompanying cervical cancer progression. Raman spectra were acquired from proteins, nucleic acids, lipids and carbohydrates in order to gain an insight into the biochemical composition of cells and tissues. Spectra were also obtained from histological samples of normal, CIN and invasive carcinoma tissue from 40 patients. Multivariate analysis of the spectra was carried out to develop a classification model to discriminate normal from abnormal tissue. The results show that Raman spectroscopy displays a high sensitivity to biochemical changes in tissue during disease progression resulting in an exceptional prediction accuracy when discriminating between normal cervical tissue, invasive carcinoma and cervical intraepithelial neoplasia (CIN). Raman spectroscopy shows enormous clinical potential as a rapid non-invasive diagnostic tool for cervical and other cancers. (c) 2007 Elsevier Inc. All rights reserved.