Literature DB >> 23851313

iTRAQ-based quantitative proteomics reveals myoferlin as a novel prognostic predictor in pancreatic adenocarcinoma.

Wan-Sheng Wang1, Xiao-Hui Liu, Ling-Xiao Liu, Wen-Hui Lou, Da-Yong Jin, Peng-Yuan Yang, Xiao-Lin Wang.   

Abstract

Histological differentiation is a major pathological parameter associated with poor prognosis in patients with pancreatic adenocarcinoma (PAC) and the molecular signature underlying PAC differentiation may involve key proteins potentially affecting the malignant characters of PAC. We aimed to identify the proteins which could be implicated in PAC prognosis. We used isobaric tags for relative and absolute quantitation (iTRAQ) coupled with two-dimensional liquid chromatography-tandem mass spectrometry to compare protein expression in PAC tissues with different degrees of histological differentiation. A total of 1623 proteins were repeatedly identified by performing the iTRAQ-based experiments twice. Of these, 15 proteins were differentially expressed according to our defined criteria. Myoferlin (MYOF) was selected to validate the proteomic results by western blotting. Immunohistochemistry in a further 154 PAC cases revealed that myoferlin significantly correlated with the degree of histological differentiation (P=0.004), and univariate and multivariate analyses indicated that MYOF is an independent prognostic factor for survival (hazard ratio, 1.540; 95% confidence interval, 1.061-2.234; P=0.023) of patients with PAC after curative surgery. RNA interference-mediated knockdown of MYOF alleviated malignant phenotypes of both primary and metastatic PAC cell lines in vitro and in vivo. Thus, ITRAQ-based quantitative proteomics revealed the prognostic value of MYOF in PAC. BIOLOGICAL SIGNIFICANCE: Our results provide the possibility of novel strategies for pancreatic adenocarcinoma management.
© 2013.

Entities:  

Keywords:  Myoferlin; Pancreatic neoplasms; Prognosis; Proteomics; iTRAQ

Mesh:

Substances:

Year:  2013        PMID: 23851313     DOI: 10.1016/j.jprot.2013.06.032

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  28 in total

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Journal:  Oncogene       Date:  2016-10-24       Impact factor: 9.867

3.  Correlation between myoferlin expression and lymph node metastasis in papillary thyroid carcinoma.

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Journal:  J Pathol Transl Med       Date:  2022-05-11

4.  Dissecting characteristics and dynamics of differentially expressed proteins during multistage carcinogenesis of human colorectal cancer.

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Journal:  World J Gastroenterol       Date:  2016-05-14       Impact factor: 5.742

5.  Myoferlin expression in non-small cell lung cancer: Prognostic role and correlation with VEGFR-2 expression.

Authors:  Dae Hyun Song; Gyung Hyuck Ko; Jeong Hee Lee; Jong Sil Lee; Gyeong-Won Lee; Hyeon Cheol Kim; Jung Wook Yang; Rok Won Heo; Gu Seob Roh; Sun-Young Han; Dong Chul Kim
Journal:  Oncol Lett       Date:  2015-12-02       Impact factor: 2.967

6.  iTRAQ-Based Quantitative Proteomic Analysis of the Potentiated and Dormant Antler Stem Cells.

Authors:  Zhen Dong; Hengxing Ba; Wei Zhang; Dawn Coates; Chunyi Li
Journal:  Int J Mol Sci       Date:  2016-10-25       Impact factor: 5.923

7.  Coupling of Cell Surface Biotinylation and SILAC-Based Quantitative Proteomics Identified Myoferlin as a Potential Therapeutic Target for Nasopharyngeal Carcinoma Metastasis.

Authors:  Maoyu Li; Fang Peng; Guoqiang Wang; Xujun Liang; Meiying Shao; Zhuchu Chen; Yongheng Chen
Journal:  Front Cell Dev Biol       Date:  2021-06-09

8.  Proteomics analysis reveals protein expression differences for hypopharyngeal gland activity in the honeybee, Apis mellifera carnica Pollmann.

Authors:  Ting Ji; Zhenguo Liu; Jie Shen; Fang Shen; Qin Liang; Liming Wu; Guohong Chen; Miguel Corona
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9.  ITRAQ-based quantitative proteomics reveals apolipoprotein A-I and transferrin as potential serum markers in CA19-9 negative pancreatic ductal adenocarcinoma.

Authors:  Chao Lin; Wen-Chuan Wu; Guo-Chao Zhao; Dan-Song Wang; Wen-Hui Lou; Da-Yong Jin
Journal:  Medicine (Baltimore)       Date:  2016-08       Impact factor: 1.889

10.  Identification of specific biomarkers for gastric adenocarcinoma by ITRAQ proteomic approach.

Authors:  Xiaoxiao Wang; Qiaoming Zhi; Songbai Liu; Sheng-Li Xue; Congcong Shen; Yangxin Li; Chaofan Wu; Zaixiang Tang; Weichang Chen; Jenny Lee Song; Meiyu Bao; Yao-Hua Song; Jin Zhou
Journal:  Sci Rep       Date:  2016-12-12       Impact factor: 4.379

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