Artificial neural network classification based on capillary electrophoresis of urinary nucleosides for the clinical diagnosis of tumors

Zhao, Ruihuan; Xu, Guowang; Yue, Bingfang; Liebich, H.M.; Zhang, Yukui

doi:10.1016/s0021-9673(98)00589-5

Cited by 50 publications

(33 citation statements)

References 35 publications

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“…To avoid misclassifications of false positives and false negatives, a neuronal network analysis was applied to these data. This analysis is based on the network model developed by Zhao et al (1998) and is also applied here. Sensitivity and specificity are calculated with the aid of Baye's theorem, according to Wagener (1984).…”

Section: Discussionmentioning

confidence: 99%

“…Among healthy volunteers, five were misclassified as false positive (five out of 41; 84.5%). All in all, it can be stated that the artificial neural network technique leads to better results than principal component analysis (the Baye's theorem) for the classification of healthy persons and cancer patients based on nucleoside data (Zhao et al, 1998;Yang et al, 2002). The difference in misclassification between healthy and tumour patients cannot be explained at present.…”

Section: Discussionmentioning

confidence: 99%

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Modified nucleosides: an accurate tumour marker for clinical diagnosis of cancer, early detection and therapy control

et al. 2006

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Modified nucleosides, regarded as indicators for the whole-body turnover of RNAs, are excreted in abnormal amounts in the urine of patients with malignancies. To test their usefulness as tumour markers and to compare them with the conventional tumour markers, fractionated urine samples were analysed using chromatography. The excretion patterns of nucleosides of 68 cancer patients with malignant and benign tumours and 41 healthy controls have been studied. Significant elevations in the total sum and the concentrations of at least three (or four) of indicator nucleosides cytidine, pseudouridine, 2-pyridone-5-carboxamide-N1-ribofuranoside, N2,N2-dimethylguanine, 1-methylguanosine, 2-methylguanosine and 1-methyladenosine indicate a tumour with a sensitivity of 54% (77%) and a specificity of 86% (98%). Using an artificial neural network analysis, a sensitivity of 97% and a specificity of 85% were achieved in differentiating between tumour and control volunteers. The comparison with carcinoembryonic antigen, cancer antigen 15-3 und tissue polypeptide antigen indicates that urinary nucleosides may be useful tumour markers. This study suggests that the simultaneous determination of modified nucleosides and creatinine in urine samples of patients with cancer leads to an advantage to current methods and is a useful method to detect cancer early and to control the success of therapy.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Modified nucleosides: an accurate tumour marker for clinical diagnosis of cancer, early detection and therapy control

et al. 2006

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“…Studies show that some nucleoside levels in the urine samples of cancer patients are always higher than those in healthy individuals, so a pattern recognition method could be used to reveal more information on the differences between healthy individuals and cancer patients than simply the evaluation of a single component in such a multicomponent alteration of the nucleoside levels [41,48,57]. Recently, a new method, called the artificial neural network (ANN), has been applied in the evaluation of nucleoside levels in a group of patients with different cancers [48,49,58]. The separation of data from healthy individuals from cancer patients in training set and in a predicting set by the ANN method resulted in a clear classification of the healthy individuals from the cancer patients of the predicting set in two clusters.…”

Section: Modified Nucleosidesmentioning

confidence: 99%

Recent developments in the determination of urinary cancer biomarkers by capillary electrophoresis

Liu

et al. 2004

Electrophoresis

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Investigation of effective biomarkers for cancers is currently a popular area of study in clinical and cancer researches, because it can potentially lead to pre-cancer screening or pre-cancer diagnosis and may provide useful information on cancer type and the disease's stage of progression. More and more biochemical or chemical fluid components of the human body such as urine, blood, and cerebrospinal fluid have been considered to contain biomarkers, which are useful in cancer researches, pre-cancer diagnosis, and cancer follow-ups during or after cancer treatment. Several modern analytical techniques, such as gas chromatography (GC), high-performance liquid chromatography (HPLC), capillary electrophoresis (CE), and other separation techniques as well as hyphenated techniques, have been extensively used in study of cancer biomarkers. Among these techniques, CE is considered to be a highly efficient and practical analytical technique because of the small sample volume requirement and its wide separation versatility, ranging from small inorganic molecules to large biomolecules. This review discusses the latest developments involving biomarkers and their analysis by CE, including a discussion of instrumental conditions, method developments, and data analysis.

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“…In recent years, clinical studies on the role of urinary modified nucleosides as biochemical markers of various types of cancer have been actively undertaken [1,[8][9][10][11][12][13][14][15][16][17][18][19][20][21][22]. Immunoassays [1,[8][9][10] and reverse phase high performance liquid chromatography (RP-HPLC) [11][12][13][14][15][16]23] have been extensively applied to determine modified nucleosides in urine.…”

Section: Introductionmentioning

confidence: 99%

“…Immunoassays [1,[8][9][10] and reverse phase high performance liquid chromatography (RP-HPLC) [11][12][13][14][15][16]23] have been extensively applied to determine modified nucleosides in urine. Recently, some preliminary studies have been published about urinary-modified nucleosides determined by micellar electrokinetic chromatography (MEKC) due to its high efficiency, high speed and small sample size requirement [14,15,[17][18][19][20]24,25].…”

Section: Introductionmentioning

confidence: 99%

Clinical significance and prognostic value of urinary nucleosides in breast cancer patients

Zheng

Kong

Xiong

et al. 2005

Clinical Biochemistry

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Artificial neural network classification based on capillary electrophoresis of urinary nucleosides for the clinical diagnosis of tumors

Cited by 50 publications

References 35 publications

Modified nucleosides: an accurate tumour marker for clinical diagnosis of cancer, early detection and therapy control

Modified nucleosides: an accurate tumour marker for clinical diagnosis of cancer, early detection and therapy control

Recent developments in the determination of urinary cancer biomarkers by capillary electrophoresis

Clinical significance and prognostic value of urinary nucleosides in breast cancer patients

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