Literature DB >> 30281209

A Novel Strategy to Investigate Tissue-Secreted Tumor Microenvironmental Proteins in Serum toward Development of Breast Cancer Early Diagnosis Biomarker Signature.

Namita Pendharkar1,2, Snigdha Dhali2, Subodhini Abhang1.   

Abstract

PURPOSE: The study aims to discover and identify early grade diagnosis markers in tumor microenvironment and investigates their expression in serum. EXPERIMENTAL
DESIGN: 2D fluorescence difference gel electrophoresis (2D-DIGE), a gel-based proteomics platform is used for tissue profiling and identifies deregulated proteins by matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry. Western blot validation for statistically significant six different proteins is performed in an independent cohort of participant serum.
RESULTS: Total 67 nonredundant tissue proteins are identified out of 230 protein spots obtained through Marker selection tool of EDA. GELS, DAPLE, IQCC, CATD, A1AT, and HS90B are selected for validation and found to be upregulated in early grade serum samples. Pathway analysis performed through PANTHER and DAVID indicates that apoptosis, CCKR, EGF, FAS, FGF, Wnt, p13 kinase, and p53 signaling pathways are expressed specifically during or early onset of grade I cancer lesions. CONCLUSIONS AND CLINICAL RELEVANCE: GELS, DAPLE, HS90B, A1AT, IQCC, and CATD may be promising potential serum biomarker signature for diagnosis of early grade breast cancer. This panel also contributes to better understanding of molecular mechanisms involved in inceptive stage of breast cancer.
© 2018 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  2D-DIGE; MALDI-TOF/TOF MS; breast cancer; early grade biomarkers; proteomics

Year:  2018        PMID: 30281209     DOI: 10.1002/prca.201700119

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  2 in total

1.  Proteomics analysis identified serum biomarkers for occupational benzene exposure and chronic benzene poisoning.

Authors:  Peimao Li; Yuanru Wu; Zhimin Zhang; Dafeng Lin; Dianpeng Wang; Xianqing Huang; Yanfang Zhang
Journal:  Medicine (Baltimore)       Date:  2019-06       Impact factor: 1.817

2.  Comparative proteomic analysis of different stages of breast cancer tissues using ultra high performance liquid chromatography tandem mass spectrometer.

Authors:  Abdullah Saleh Al-Wajeeh; Salizawati Muhamad Salhimi; Majed Ahmed Al-Mansoub; Imran Abdul Khalid; Thomas Michael Harvey; Aishah Latiff; Mohd Nazri Ismail
Journal:  PLoS One       Date:  2020-01-16       Impact factor: 3.240

  2 in total

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