Distinct serumal proteomic patterns between ascending and descending types of loco-regionally advanced nasopharyngeal carcinoma assessed by surface enhanced laser desorption ionization and artificial neural network analyses

Chinese Medical Journal

Volumn 118, Issue 22, 2005, Pages 1912-1917

  Guo, Xiang ^a   Cao, Su Mei ^a   Yu, Jie Kai ^b   Hong, Ming Huang ^a   Zhang, Chang Qing ^a   Li, Ning Wei ^a   Xiang, Yan Qun ^a   Qian, Chao Nan ^a   Hu, Xun ^b   Min, Hua Qing ^a   Zeng, Yi Xin ^a  

^a SUN YAT SEN UNIVERSITY CANCER CENTER   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

Nasopharyngeal neoplasms; Prognosis; Proteomic

Indexed keywords

BIOLOGICAL MARKER;

ADULT; ADVANCED CANCER; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOINFORMATICS; BIOSTATISTICS; BLOOD ANALYSIS; CANCER CENTER; CANCER CLASSIFICATION; CANCER PATIENT; CANCER STAGING; CHINA; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; MASS SPECTROMETRY; NASOPHARYNX CARCINOMA; PATIENT SELECTION; POPULATION RESEARCH; PROTEIN ANALYSIS; PROTEIN MICROARRAY; PROTEOMICS; REPRODUCIBILITY; SURFACE ENHANCED LASER DESORPTION IONIZATION TIME OF FLIGHT MASS SPECTROMETRY;

ADULT; AGED; FEMALE; HUMANS; MALE; MIDDLE AGED; NASOPHARYNGEAL NEOPLASMS; NEOPLASM PROTEINS; NEURAL NETWORKS (COMPUTER); PROGNOSIS; PROTEOMICS; REPRODUCIBILITY OF RESULTS; SPECTROMETRY, MASS, MATRIX-ASSISTED LASER DESORPTION-IONIZATION; TUMOR MARKERS, BIOLOGICAL;

EID: 28644439190     PISSN: 03666999     EISSN: 03666999     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Muir CS. Cancer incidence in five continents: classification. IARC Sci Publ 1992;120:25-30.
2. Hsieh CK, Li CC, Min HC, et al. Clinical analysis of 1000 cases of nasopharyngeal carcinoma with particular reference to early diagnosis and clinical types of late cases. Chin Med J 1965;84:767-780.
3. Merchant M, Weinberger SR. Recent advancements in surface enhanced laser desorption/ionization-time of flight-mass spectrometry. Electrophoresis 2000;21: 1164-1177.
4. Kuwata H, Yip TT, Yip CL, et al. Bactericidal domain of lactoferrin: detection, quantitation and characterization of lactoferricin in serum by SELDI affinity mass spectrometry. Biochem Biophys Res Commun 1998;245:764-773.
5. Romualdi C, Campanaro S, Campagna D, et al. Pattern recognition in gene expression profiling using DNA array: a comparative study of different statistical methods applied to cancer classification. Hum Mol Genet 2003;12:823-836.
6. Ball G, Mian S, Holding F, Allibone RO, et al. An integrated approach utilizing artificial neural networks and SELDI mass spectrometry for the classification of human tumours and rapid identification of potential biomarkers. Bioinformatics 2002;18:395-404.
7. Min H, Hong M, Ma J, et al. A new staging system for nasopharyngeal carcinoma in China. Int J Radiat Oncol Biol Phys 1994;30:1037-1042.
8. Perez CA, Devineni VR, Marcial-Vega V, et al. Carcinoma of the nasopharynx: factors affecting prognosis. Int J Radiat Oncol Biol Phys 1992;23:271-280.
9. Sham JS, Cheung YK, Choy D, et al. Cranial nerve involment and base skull erosion in nasopharyngeal carcinoma. Cancer 1991;68:422-426.
10. Stillwagon GB, Lee DJ, Moses H, et al. Response of cranial nerve abnormalities in nasopharyngeal carcinoma to radiation therapy. Cancer 1986;57:2272-2274.
11. Kaasa S, Kragh-Jensen E, Bjordal K, et al. Prognostic factors in patients with nasopharyngeal carcinoma. Acta Oncol 1993;32:531-536.
12. Erkal HS, Serin M, Cakmak A. Nasopharyngeal carcinomas: analysis of patient, tumor and treatment characteristics determining outcome. Radiother Oncol 2001;61:247-256.
13. Ang KK, Peters LJ, Weber RS, et al. Concomittant boost radiotherapy schedules in the treatment of carcinoma of the oropharynx and nasopharynx. Int J Radiat Oncol Biol Phys 1990;19:1339-1345.
14. Al-Sarraf M, LeBlanc M, Giri PG, et al. Chemoradiotherapy versus radiotherapy in patients with advanced nasopharyngeal cancer: phase III randomized Intergroup study 0099. J Clin Oncol 1998; 16:1310-1317.
15. Pandey A, Mann M. Proteomics to study genes and genomes. Nature 2000;405:837-846.
16. Adam BL, Qu Y, Davis JW. Serum protein fingerprinting coupled with a pattern-matching algorithm distinguishes prostate cancer from benign prostate hyperplasia and healthy men. Cancer Res 2002;62: 3609-3614.
17. Paweletz CP, Trock B, Pennanen M, et al. Proteomic patterns of nipple aspirate fluids obtained by SELDI-TOF: potential for new biomarkers to aid in the diagnosis of breast cancer. Dis Markers 2001;17:301-307.