[Detecting biomarkers from serum in nephroblastoma patients with support vector machine].
OBJECTIVE
To find new biomarkers and to establish serum protein fingerprint models for early detection and diagnosis of nephroblastoma by SELDI-TOF-MS and bioinformatics tools.


METHODS
Seventy five serum samples from 35 nephroblastoma patients, 30 children's abdominal solid tumor patients, and 20 healthy children were bound to WCX2 protein chip and tested by surface enhanced laser desorption/ionization time of flight-mass spectrometry (SELDI-TOF-MS). The data of spectra were analyzed by support vector machine(SVM).


RESULTS
Four peaks with m/z of 6984.5, 6455.5, 6914.0, 3256.7 were selected as potential biomarkers. The detective model combined with 2 biomarkers could separate nephroblastoma from the healthy group with a sensitivity of 100%, and a specificity of 100%. The diagnostic model combined with 2 biomarkers could separate nephroblastoma from other child's abdominal solid tumors with a sensitivity of 93.3%, and a specificity of 100%.


CONCLUSIONS
High sensitivity and specificity achieved by this method show great potential for early diagnosis of nephroblastoma, and screening for new tumor biomarkers.
Wang
Jia-xiang
JX
Department of Surgery, First Affiliated Hospital, Zhengzhou University, Zhengzhou, 450052, China. wjiaxiang@zzu.edu.cn
Zhang
Jiao
J
Liu
Qiu-liang
QL
Wang
Li
L
Fan
Ying-zhong
YZ
Yu
Jie-kai
JK
Zheng
Shu
S
D014408:Biomarkers, Tumor / Q000097:blood*; D002675:Child, Preschool; D005260:Female; D006801:Humans; D007223:Infant; D007680:Kidney Neoplasms / Q000097:blood* / Q000175:diagnosis / Q000628:therapy; D008297:Male; D009363:Neoplasm Proteins / Q000097:blood; D010449:Peptide Mapping / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000379:methods; D009396:Wilms Tumor / Q000097:blood* / Q000175:diagnosis / Q000628:therapy
D014408:Biomarkers, Tumor; D009363:Neoplasm Proteins