Fluorescence spectroscopy and chemometrics for classification of breast cancer samples -: a feasibility study using extended canonical variates analysis

被引:31
作者
Norgaard, Lars
Soletormos, Gyorgy
Harrit, Niels
Albrechtsen, Morten
Olsen, Ole
Nielsen, Dorte
Kampmann, Kristoffer
Bro, Rasmus
机构
[1] Univ Copenhagen, Fac Life Sci, Dept Food Sci, Chemometr Grp, DK-1958 Frederiksberg C, Denmark
[2] Copenhagen Univ Hosp, Dept Clin Biochem, DK-3400 Hillerod, Denmark
[3] Univ Copenhagen, Dept Chem, DK-2100 Copenhagen, Denmark
[4] Wexotec Management, DK-2920 Charlottenlund, Denmark
[5] Medicochem Lab, DK-2950 Vedbaek, Denmark
[6] Copenhagen Univ Hosp, Dept Oncol, DK-2730 Herlev, Denmark
关键词
cancer; fluorescence; biomarkers; chemometrics; multivariate; ECVA;
D O I
10.1002/cem.1042
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The objective of this phase I feasibility study is to investigate whether fluorescence spectroscopy of serum samples in combination with multivariate data analysis can be used to discriminate healthy females from breast cancer patients with solitary and multiple metastases, respectively. Serum samples were obtained from 39 females: 13 healthy females (controls) and 26 clinically diagnosed patients with either solitary metastases (11 patients) or multiple metastases (15 patients). Fluorescence spectra were measured on undiluted samples and samples diluted 20 times and 500 times. Extended Canonical Variates Analysis (ECVA) was applied to develop classification models on the data. Three-group ECVA based on all spectroscopic data (5221 variables) gave five misclassifications in total, while sequential ECVA models on selected excitation wavelengths yielded two errors. The fluorescence spectroscopic results were compared with results based on the three tumor markers cancer antigen 15-3 (CA 15-3), carcinoembryonic antigen (CEA), and tissue polypeptide antigen (TPA). The lowest number of errors obtained using ECVA on the biomarkers was seven. Furthermore, fluorescence spectroscopy made it possible to discover sample subgroupings: females with solitary and multiple metastases could be divided into two subgroups according to the spectral patterns of the samples. Copyright (C) 2007 John Wiley & Sons, Ltd.
引用
收藏
页码:451 / 458
页数:8
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