Literature DB >> 21080108

Discrimination analysis of mass spectrometry proteomics for cervical cancer detection.

Chibo Liu1, Chunqin Pan, Jianmin Shen, Haibao Wang, Liang Yong, Richu Zhang.   

Abstract

To study the serum protein fingerprint of patients with cervical cancer and to screen for protein molecules closely related to cervical cancer during the onset and progression of the disease using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Serum samples from 85 patients with cervical cancer and 80 healthy volunteers. Weak cation exchange (WCX) magnetic beads and PBSII-C protein chips reader (Ciphergen Biosystems Ins.) were used.The protein fingerprint expression of all the serum samples and the resulting profiles between cancer and normal were analyzed with Biomarker Wizard system. A group of proteomic peaks were detected. Three differently expressed potential biomarkers were identified with the relative molecular weights of 3974 Da, 4175 Da, 5906 Da. This diagnostic model can distinguish cervical cancer from healthy controls with a sensitivity of 93.3% and a specificity of 95%. Blind test data indicated a sensitivity of 87.5% and a specificity of 90%. MALDI technology can be used to screen significant proteins of differential expression in the serum of cervical cancer patients. These different proteins could be specific biomarkers of the patients with cervical cancer in the serum and have the potential value of further investigation.

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Year:  2010        PMID: 21080108     DOI: 10.1007/s12032-010-9740-8

Source DB:  PubMed          Journal:  Med Oncol        ISSN: 1357-0560            Impact factor:   3.064


  17 in total

1.  [Detection of differentially expressed proteins in the semen of oligospermia patients by SELDI-TOF-MS technology].

Authors:  Chi-bo Liu; Yong Liang; Chun-qin Pan; Jin Zhang
Journal:  Zhonghua Nan Ke Xue       Date:  2009-03

2.  Construction of a multiple myeloma diagnostic model by magnetic bead-based MALDI-TOF mass spectrometry of serum and pattern recognition software.

Authors:  Qing-Tao Wang; Yong-Zhe Li; Yu-Fang Liang; Chao-Jun Hu; Yu-Hua Zhai; Guan-Fei Zhao; Jian Zhang; Ning Li; An-Ping Ni; Wen-Ming Chen; Yang Xu
Journal:  Anat Rec (Hoboken)       Date:  2009-04       Impact factor: 2.064

3.  Identification of a beta-casein-like peptide in breast nipple aspirate fluid that is associated with breast cancer.

Authors:  Edward R Sauter; Wade Davis; Wenyi Qin; Sarah Scanlon; Brian Mooney; Karen Bromert; William R Folk
Journal:  Biomark Med       Date:  2009-10       Impact factor: 2.851

4.  Comparison of the urinary protein patterns of athletes by 2D-gel electrophoresis and mass spectrometry-a pilot study.

Authors:  Maxie Kohler; Stefan Franz; Axel Regeniter; Anna Ikonen; Katja Walpurgis; Andreas Thomas; Wilhelm Schänzer; Mario Thevis
Journal:  Drug Test Anal       Date:  2009-08       Impact factor: 3.345

5.  Serum proteomic patterns for gastric lesions as revealed by SELDI mass spectrometry.

Authors:  Yong Liang; Marong Fang; Jicheng Li; Chi Bo Liu; John A Rudd; H F Kung; David T W Yew
Journal:  Exp Mol Pathol       Date:  2006-07-10       Impact factor: 3.362

6.  Identification of beta2-microgloblin as a candidate for early diagnosis of imaging-invisible hepatocellular carcinoma in patient with liver cirrhosis.

Authors:  Yumi Saito; Nobuyuki Oba; Syuta Nishinakagawa; Yasuhiro Mizuguchi; Tatsuya Kojima; Kazuhiro Nomura; Tetsuya Nakatsura
Journal:  Oncol Rep       Date:  2010-05       Impact factor: 3.906

7.  SELDI-TOF-based serum proteomic pattern diagnostics for early detection of cancer.

Authors:  Emanuel F Petricoin; Lance A Liotta
Journal:  Curr Opin Biotechnol       Date:  2004-02       Impact factor: 9.740

8.  Identification of a truncated cystatin SA-I as a saliva biomarker for oral squamous cell carcinoma using the SELDI ProteinChip platform.

Authors:  S Shintani; H Hamakawa; Y Ueyama; M Hatori; T Toyoshima
Journal:  Int J Oral Maxillofac Surg       Date:  2009-11-05       Impact factor: 2.789

9.  Identification of biomarkers for ovarian cancer using strong anion-exchange ProteinChips: potential use in diagnosis and prognosis.

Authors:  Katherine R Kozak; Malaika W Amneus; Suzanne M Pusey; Feng Su; Mui N Luong; Sam A Luong; Srinivasa T Reddy; Robin Farias-Eisner
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-01       Impact factor: 11.205

Review 10.  Progress and challenges in screening for early detection of ovarian cancer.

Authors:  Ian J Jacobs; Usha Menon
Journal:  Mol Cell Proteomics       Date:  2004-02-05       Impact factor: 5.911

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  2 in total

1.  Usefulness of serum mass spectrometry to identify women diagnosed with higher grades of cervical intraepithelial neoplasia may differ by race.

Authors:  Roland Matthews; Andres Azuero; Senait Asmellash; Earl Brewster; Edward E Partridge; Chandrika J Piyathilake
Journal:  Int J Womens Health       Date:  2011-07-12

2.  A1BG and C3 are overexpressed in patients with cervical intraepithelial neoplasia III.

Authors:  Norma Angélica Galicia Canales; Vicente Madrid Marina; Jorge Salmerón Castro; Alfredo Antúnez Jiménez; Guillermo Mendoza-Hernández; Elizabeth Langley McCARRON; Margarita Bahena Roman; Julieta Ivone Castro-Romero
Journal:  Oncol Lett       Date:  2014-05-28       Impact factor: 2.967

  2 in total

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