Depciuch Joanna, Kaznowska Ewa, Zawlik Izabela, Wojnarowska Renata, Cholewa Marian, Heraud Philip, Cebulski Józef
Center for Innovation and Transfer of Natural Sciences and Engineering Knowledge, University of Rzeszow, Rzeszow, Poland Department of Biology - Agriculture, University of Rzeszow, Rzeszow, Poland
Center for Innovative Research in Medical and Natural Sciences, University of Rzeszow, Rzeszow, Poland.
Appl Spectrosc. 2016 Feb;70(2):251-63. doi: 10.1177/0003702815620127.
Raman spectroscopy and infrared (IR) spectroscopy are both techniques that allow for the investigation of vibrating chemical particles. These techniques provide information not only about chemical particles through the identification of functional groups and spectral analysis of so-called "fingerprints", these methods allow for the qualitative and quantitative analyses of chemical substances in the sample. Both of these spectral techniques are frequently being used in biology and medicine in diagnosing illnesses and monitoring methods of therapy. The type of breast cancer found in woman is often a malignant tumor, causing 1.38 million new cases of breast cancer and 458 000 deaths in the world in 2013. The most important risk factors for breast cancer development are: sex, age, family history, specific benign breast conditions in the breast, ionizing radiation, and lifestyle. The main purpose of breast cancer screening tests is to establish early diagnostics and to apply proper treatment. Diagnoses of breast cancer are based on: (1) physical techniques (e.g., ultrasonography, mammography, elastography, magnetic resonance, positron emission tomography [PET]); (2) histopathological techniques; (3) biological techniques; and (4) optical techniques (e.g., photo acoustic imaging, fluorescence tomography). However, none of these techniques provides unique or especially revealing answers. The aim of our study is comparative spectroscopic measurements on patients with the following: normal non-cancerous breast tissue; breast cancer tissues before chemotherapy; breast cancer tissues after chemotherapy; and normal breast tissues received around the cancerous breast region. Spectra collected from breast cancer patients shows changes in amounts of carotenoids and fats. We also observed changes in carbohydrate and protein levels (e.g., lack of amino acids, changes in the concentration of amino acids, structural changes) in comparison with normal breast tissues. This fact verifies that Raman spectroscopy and IR spectroscopy are very useful diagnostic tools that will shed new light in understanding the etiology of breast cancer.
拉曼光谱和红外(IR)光谱都是用于研究振动化学粒子的技术。这些技术不仅通过官能团的识别和所谓“指纹”的光谱分析来提供有关化学粒子的信息,还能对样品中的化学物质进行定性和定量分析。这两种光谱技术在生物学和医学中常用于疾病诊断和治疗监测方法。女性中发现的乳腺癌类型通常是恶性肿瘤,2013年全球新增138万例乳腺癌病例,导致45.8万人死亡。乳腺癌发展的最重要风险因素包括:性别、年龄、家族史、乳腺特定的良性乳腺疾病、电离辐射和生活方式。乳腺癌筛查测试的主要目的是进行早期诊断并实施适当的治疗。乳腺癌的诊断基于:(1)物理技术(如超声检查、乳房X线摄影、弹性成像、磁共振成像、正电子发射断层扫描[PET]);(2)组织病理学技术;(3)生物技术;以及(4)光学技术(如光声成像、荧光断层扫描)。然而,这些技术都没有提供独特或特别有启发性的答案。我们研究的目的是对以下患者进行比较光谱测量:正常非癌性乳腺组织;化疗前的乳腺癌组织;化疗后的乳腺癌组织;以及癌性乳腺区域周围获取的正常乳腺组织。从乳腺癌患者收集的光谱显示类胡萝卜素和脂肪含量的变化。与正常乳腺组织相比,我们还观察到碳水化合物和蛋白质水平的变化(如氨基酸缺乏、氨基酸浓度变化、结构变化)。这一事实证实拉曼光谱和红外光谱是非常有用的诊断工具,将为理解乳腺癌的病因提供新的线索。