Literature DB >> 18202856

SELDI-TOF MS profiling of serum for detection of laryngeal squamous cell carcinoma and the progression to lymph node metastasis.

Lei Cheng1, Liang Zhou, Lei Tao, Ming Zhang, Jiefeng Cui, Yan Li.   

Abstract

OBJECTIVES: Proteomic profiling of serum is an emerging technique to identify new biomarkers indicative of disease severity and progression. Our study was to assess the use of surface enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF MS) to identify multiple serum protein biomarkers for early detection of laryngeal squamous cell carcinoma (LSCC), establish predictive model, and accurately distinguish LSCC patients with or without lymph node metastasis.
METHODS: A cohort of 252 serum samples with LSCC (n = 142) and normal control (n = 110) were consented into this study. These serum samples were randomly divided into training set (including 89 LSCC patients at stages I-II and 65 normal controls, 30 LSCC patients with lymph node metastasis) and blind testing set (including 53 LSCC patients at stages III-IV and 45 normal controls). Serum protein profiles on weak cationic exchange (WCX2) were performed by SELDI-TOF MS and then analyzed by Biomarker Wizard software. The Decision Tree classification algorithm and blind validation were determined by Biomarker Pattern Software (BPS).
RESULTS: A panel of 18 biomarkers ranging 2-30 kDa was selected based on their collective contribution to the optimal separation between stages I-II LSCC patients and healthy controls. Among them, one candidate protein peak with an m/z value of 4,176 Da was selected to establish predictive model by BPS with sensitivity of 86.52% and specificity of 84.62%. The ability to detect LSCC patients was evaluated using blinding test data in stages III and IV cancer patients. A sensitivity of 84.91% and specificity of 82.22% were validated in blind testing set. Meanwhile 14 potential biomarkers could differentiate LSCC patients with or without lymph node metastasis (P < 0.05).
CONCLUSIONS: The high sensitivity and specificity achieved by the serum protein biomarkers show great potential for the early detection of LSCC. SELDI-TOF MS serum profiling also is able to distinguish LSCC patients with or without lymph node metastasis.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18202856     DOI: 10.1007/s00432-007-0344-4

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  26 in total

Review 1.  Proteomics in early detection of cancer.

Authors:  P R Srinivas; S Srivastava; S Hanash; G L Wright
Journal:  Clin Chem       Date:  2001-10       Impact factor: 8.327

2.  Point: Proteomic patterns in biological fluids: do they represent the future of cancer diagnostics?

Authors:  Eleftherios P Diamandis
Journal:  Clin Chem       Date:  2003-08       Impact factor: 8.327

3.  Normal, benign, preneoplastic, and malignant prostate cells have distinct protein expression profiles resolved by surface enhanced laser desorption/ionization mass spectrometry.

Authors:  Lisa H Cazares; Bao-Ling Adam; Michael D Ward; Suhail Nasim; Paul F Schellhammer; O John Semmes; George L Wright
Journal:  Clin Cancer Res       Date:  2002-08       Impact factor: 12.531

4.  SELDI-TOF MS profiling of serum for detection of the progression of chronic hepatitis C to hepatocellular carcinoma.

Authors:  E Ellen Schwegler; Lisa Cazares; Laura F Steel; Bao-Ling Adam; David A Johnson; O John Semmes; Timothy M Block; Jorge A Marrero; Richard R Drake
Journal:  Hepatology       Date:  2005-03       Impact factor: 17.425

5.  Comprehensive proteomic profiling identifies serum proteomic signatures for detection of hepatocellular carcinoma and its subtypes.

Authors:  Terence C W Poon; Tai-Tung Yip; Anthony T C Chan; Christine Yip; Victor Yip; Tony S K Mok; Conrad C Y Lee; Thomas W T Leung; Stephen K W Ho; Philip J Johnson
Journal:  Clin Chem       Date:  2003-05       Impact factor: 8.327

6.  Use of proteomic patterns in serum to identify ovarian cancer.

Authors:  Emanuel F Petricoin; Ali M Ardekani; Ben A Hitt; Peter J Levine; Vincent A Fusaro; Seth M Steinberg; Gordon B Mills; Charles Simone; David A Fishman; Elise C Kohn; Lance A Liotta
Journal:  Lancet       Date:  2002-02-16       Impact factor: 79.321

7.  Tree analysis of mass spectral urine profiles discriminates transitional cell carcinoma of the bladder from noncancer patient.

Authors:  Yuan-Fang Zhang; Deng-Long Wu; Ming Guan; Wei-Wei Liu; Zhong Wu; Yu-Ming Chen; Wan-Zhong Zhang; Yuan Lu
Journal:  Clin Biochem       Date:  2004-09       Impact factor: 3.281

8.  Proteomics and bioinformatics approaches for identification of serum biomarkers to detect breast cancer.

Authors:  Jinong Li; Zhen Zhang; Jason Rosenzweig; Young Y Wang; Daniel W Chan
Journal:  Clin Chem       Date:  2002-08       Impact factor: 8.327

9.  Proteomic analysis of dunning prostate cancer cell lines with variable metastatic potential using SELDI-TOF.

Authors:  M B Gretzer; D W Chan; C L van Rootselaar; J M Rosenzweig; S Dalrymple; L A Mangold; A W Partin; R W Veltri
Journal:  Prostate       Date:  2004-09-01       Impact factor: 4.104

10.  Diagnosis of Ovarian Cancer Using Decision Tree Classification of Mass Spectral Data.

Authors:  Antonia Vlahou; John O. Schorge; Betsy W. Gregory; Robert L. Coleman
Journal:  J Biomed Biotechnol       Date:  2003
View more
  7 in total

Review 1.  Proteomic research progress in lymphatic metastases of cancers.

Authors:  Junwei Zong; Chunmei Guo; Shuqing Liu; Ming-Zhong Sun; Jianwu Tang
Journal:  Clin Transl Oncol       Date:  2012-01       Impact factor: 3.405

2.  Effect of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry on identifying biomarkers of laryngeal carcinoma.

Authors:  Chibo Liu; Chunqin Pan; Haibao Wang; Liang Yong
Journal:  Tumour Biol       Date:  2011-08-09

Review 3.  Metastasis: new perspectives on an old problem.

Authors:  Sandra Kraljevic Pavelic; Mirela Sedic; Hrvojka Bosnjak; Sime Spaventi; Kresimir Pavelic
Journal:  Mol Cancer       Date:  2011-02-22       Impact factor: 27.401

4.  SELDI-TOF MS profiling of serum for detection of nasopharyngeal carcinoma.

Authors:  Yuan-Jiao Huang; Chao Xuan; Bei-Bei Zhang; Ming Liao; Kai-Feng Deng; Min He; Jin-Min Zhao
Journal:  J Exp Clin Cancer Res       Date:  2009-06-17

5.  The use of variations in proteomes to predict, prevent, and personalize treatment for clinically nonfunctional pituitary adenomas.

Authors:  Xianquan Zhan; Dominic M Desiderio
Journal:  EPMA J       Date:  2010-06-29       Impact factor: 6.543

Review 6.  The cancer secretome: a reservoir of biomarkers.

Authors:  Hua Xue; Bingjian Lu; Maode Lai
Journal:  J Transl Med       Date:  2008-09-17       Impact factor: 5.531

7.  Identification of cysteinylated transthyretin, a predictive biomarker of treatment response to partially hydrolyzed guar gum in type 2 diabetes rats, by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry.

Authors:  Yuji Naito; Hiroshi Ichikawa; Satomi Akagiri; Kazuhiko Uchiyama; Tomohisa Takagi; Osamu Handa; Zenta Yasukawa; Makoto Tokunaga; Noriyuki Ishihara; Tsutomu Okubo; Jun Mukai; Makoto Ohki; Kagehiro Uchida; Toshikazu Yoshikawa
Journal:  J Clin Biochem Nutr       Date:  2015-12-08       Impact factor: 3.114

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.