光谱学与光谱分析 |
|
|
|
|
|
Gastric Cancer Detection Using Kubelka-Munk Spectral Function of DNA and Protein Absorption Bands |
LI Lan-quan1,WEI Hua-jiang1*,GUO Zhou-yi1,YANG Hong-qin2,XIE Shu-sen2,CHEN Xue-mei3,LI Li-bo4, HE Bo-hua4,WU Guo-yong5,LU Jian-jun5 |
1. Key Laboratory of Laser Life Science and Institute of Laser Life Science of Ministry of Education, South China Normal University, Guangzhou 510631, China 2. Key Laboratory of Optoelectronic Science and Technology for Medicine of Ministry of Education, Fujian Normal University, Fuzhou 350007, China 3. Department of Ophthalmology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China 4. Department of Surgery, First Affiliated Hospital of Guangdong College of Pharmacy, Guangzhou 510224, China 5. Department of Surgery, First Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510080, China |
|
|
Abstract Differential diagnosis for epithelial tissues of normal human gastric, undifferentiation gastric adenocarcinoma, gastric squamous cell carcinomas, and poorly differentiated gastric adenocarcinoma were studied using the Kubelka-Munk spectral function of the DNA and protein absorption bands at 260 and 280 nm in vitro. Diffuse reflectance spectra of tissue were measured using a spectrophotometer with an integrating sphere attachment. The results of measurement showed that for the spectral range from 250 to 650 nm, pathological changes of gastric epithelial tissues induced that there were significant differences in the averaged value of the Kubelka-Munk function f(r∞) and logarithmic Kubelka-Munk function log[f(r∞)] of the DNA absorption bands at 260 nm between epithelial tissues of normal human stomach and human undifferentiation gastric cancer, between epithelial tissues of normal human stomach and human gastric squamous cell carcinomas, and between epithelial tissues of normal human stomach and human poorly differentiated cancer. Their differences were 68.5%(p<0.05), 146.5%(p<0.05), 282.4%(p<0.05), 32.4%(p<0.05), 56.0%(p<0.05) and 83.0%(p<0.05) respectively. And pathological changes of gastric epithelial tissues induced that there were significant differences in the averaged value of the Kubelka-Munk function f(r∞) and logarithmic Kubelka-Munk function log[f(r∞)] of the protein absorption bands at 280 nm between epithelial tissues of normal human stomach and human undifferentiation gastric cancer, between epithelial tissues of normal human stomach and human gastric squamous cell carcinomas, and between epithelial tissues of normal human stomach and human poorly differentiated cancer. Their differences were 86.8%(p<0.05), 262.9%(p<0.05), 660.1%(p<0.05) and 34%(p<0.05), 72.2%(p<0.05), 113.5%(p<0.05) respectively. And pathological changes of gastric epithelial tissues induced that there were significant differences in the averaged value of the Kubelka-Munk function f(r∞) and logarithmic Kubelka-Munk function log[f(r∞)] of the β-carotene absorption bands at 480 nm between epithelial tissues of normal human stomach and human undifferentiation gastric cancer, between epithelial tissues of normal human stomach and human gastric squamous cell carcinomas, and between epithelial tissues of normal human stomach and human poorly differentiated cancer. Their differences were 59.5%(p<0.05), 73%(p<0.05), 258.9%(p<0.05), 118.7%(p<0.05), 139.2%(p<0.05), and 324.6%(p<0.05) respectively. It is obvious that pathological changes of gastric epithelial tissues induced that there were significant changes in the contents of the DNA, protein and β-carotene of gastric epithelial tissues. The conclusion can be applied to rapid, low-cost and noninvasive the optical biopsy for gastric cancer and provides a useful reference.
|
Received: 2008-06-18
Accepted: 2008-09-20
|
|
Corresponding Authors:
WEI Hua-jiang
E-mail: weihj@scnu.edu.cn
|
|
[1] Li X Zhou, Lin Junxiu, Jia Chunde, et al. SPIE, 2003, 5255: 93. [2] SHI Ying-qiang(师英强). Journal of Surgery Concepts & Practice(外科理论与实践), 2008, 13(1): 7. [3] Katja Wirths, Horst Neuhaus. Springer Link Endomicroscopy of GI Disorders, 2007, 7: 60. [4] LI Yan-qing(李延青). Chinese Journal of Pratical Intemal Medicine(中国实用内科杂志), 2008, 28(3): 238. [5] WANG Kai-ming(王开明). Zhengjiang Journal of Clinical Medicine(浙江临床医学), 2002,6(4): 401. [6] Ragain J C, Johnston W M. J. Dent. Res., 2001, 80(2): 449. [7] Yang Y L, Celmer E J, Koutcher J A, et al. Photobiol., 2002, 75(6): 627. [8] Yang Y L, Celmer E J,Koutcher J A,et al. SPIE, 2000, 4080: 71. [9] Yang Y L, Celmer E J,Koutcher J A,et al. SPIE, 2000, 3917: 150. [10] Kim Y L, Liu Y, Wali R K,et al. IEEE J. Select. Topics Quantum Electronics, 2003, 9: 243. [11] Lu Z, Yeh T K, Tsai M, etal. Clinical Cancer Research, 2004, 10: 7677. [12] Skala Melissa C, Palmer Gregory M, Zhu Changfang, et al. Lasers in Surgery and Medicine, 2004, 34: 25. [13] ZHANG Jing-wei, SHEN Ai-guo, WEI Yun, et al(张敬伟,沈爱国,为 云,等). J. Biomed. Eng.(生物医学工程杂志), 2004, 21(6): 910. [14] Barr H, Dix T, Stone N. Lasers Med. Sci., 1998, 13:3. [15] Subhash N, Mallia J R, Thomas S S, et al. J. Biomed. Opt., 2006, 11(1): 014018-1. [16] JIA Ye-gui, DENG Chang-sheng, WU Jie(贾业贵,邓长生,吴 杰). Journal of New Medicine(医学新知杂志), 2008, 18(1): 30. [17] Hammer M, Schweitzer D. Phys. Med. Biol, 2002, 47:179. |
[1] |
CHU Bing-quan1, 2, LI Cheng-feng1, DING Li3, GUO Zheng-yan1, WANG Shi-yu1, SUN Wei-jie1, JIN Wei-yi1, HE Yong2*. Nondestructive and Rapid Determination of Carbohydrate and Protein in T. obliquus Based on Hyperspectral Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3732-3741. |
[2] |
CHENG Hong1, YAN Ding-ce1*, WU Li-qing2, XU Jun3. Spectral Magnitude Uncertainty in Measurement of Protein Circular
Dichroism Spectra—An Empirical Study on Cytochrome C[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3105-3110. |
[3] |
ZHANG Peng1, 3, YANG Yi-fan1, WANG Hui1, TU Zong-cai1, 2, SHA Xiao-mei2, HU Yue-ming1*. A Review of Structural Characterization and Detection Methods of Glycated Proteins in Food Systems[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2667-2673. |
[4] |
LIU Wen-bo, LIU Jin, HAN Tong-shuai*, GE Qing, LIU Rong. Simulation of the Effect of Dermal Thickness on Non-Invasive Blood Glucose Measurement by Near-Infrared Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2699-2704. |
[5] |
YE Zi-yi, LIU Shuang, ZHANG Xin-feng*. Screening of DNA Dyes for Colorimetric Sensing Via Rapidly Inducing Gold Nanoparticles Aggregation[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(09): 2805-2810. |
[6] |
YAN Xue-jun1, ZHOU Yang2, HU Dan-jing1, YU Dan-yan1, YU Si-yi1, YAN Jun1*. Application of UV-VIS Diffuse Reflectance Spectrum, Raman and
Photoluminescence Spectrum Technology in Nondestructive
Testing of Yellow Pearl[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1703-1710. |
[7] |
CHEN Rui1, WANG Xue1, 2*, WANG Zi-wen1, QU Hao1, MA Tie-min1, CHEN Zheng-guang1, GAO Rui3. Wavelength Selection Method of Near-Infrared Spectrum Based on
Random Forest Feature Importance and Interval Partial
Least Square Method[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1043-1050. |
[8] |
YAN Jun1, FANG Shi-bin1, YAN Xue-jun1, SHENG Jia-wei2, XU Jiang1, XU Chong3, ZHANG Jian2*. Study on the Common Effect of Heat Treatment, Dyeing or Irradiation Treatment on UV-Vis Diffuse Reflectance Spectra of Pearls[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3697-3702. |
[9] |
FANG Shi-bin1, JIANG Yang-ming1, YAN Jun1, 2, YAN Xue-jun1, ZHOU Yang3, ZHANG Jian2*. The Types of UV-Vis Diffuse Reflectance Spectra of Common Gray Pearls and Their Coloring Mechanism[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(12): 3703-3708. |
[10] |
WANG Jing1, 2*, CHEN Zhen3, GAO Quan-zhou1. Diffuse Reflectance Spectroscopy Study of Mottled Clay in the Coastal
Area of Fujian and Guangdong Provinces and the Interpretation of Its
Origin and Sedimentary Environment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(08): 2494-2498. |
[11] |
LIAN Xiao-qin1, 2, CHEN Qun1, 2, TANG Shen-miao1, 2, WU Jing-zhu1, 2, WU Ye-lan1, 2, GAO Chao1, 2. Quantitative Analysis Method of Key Nutrients in Lanzhou Lily Based on NIR and SOM-RBF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(07): 2025-2032. |
[12] |
ZHU Meng-yuan1, 2, LÜ Bin1, 2*, GUO Ying2. Comparison of Haematite and Goethite Contents in Aeolian Deposits in Different Climate Zones Based on Diffuse Reflectance Spectroscopy and Chromaticity Methods[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1684-1690. |
[13] |
LIU Mei-chen, XUE He-ru*, LIU Jiang-ping, DAI Rong-rong, HU Peng-wei, HUANG Qing, JIANG Xin-hua. Hyperspectral Analysis of Milk Protein Content Using SVM Optimized by Sparrow Search Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(05): 1601-1606. |
[14] |
LÜ Jia-nan, LI Jun-sheng*, HUANG Guo-xia, YAN Liu-juan, MA Ji. Spectroscopic Analysis on the Interaction of Chrysene With Herring Sperm DNA and Its Influence Factors[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 210-214. |
[15] |
XU Zhao-jin, LI Dong-liang, SHEN Li*. Study on Diffuse Reflection and Absorption Spectra of Organic and Inorganic Chinese Painting Pigments[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3915-3921. |
|
|
|
|