Type

Journal Article

Authors

Stephen R Pennington
Massimo Loda
Stephen P Finn
John O'Leary
Aurelie Fabre
Michaela Bowden
Rosanna Inzitari
Lance Liotta
Virginia Espina
Rosina Lis
and 2 others

Subjects

Biochemistry

Topics
prostate cancer protein expression mass spectrometry lc ms liquid chromatography tandem mass spectrometry liquid chromatography lc statistical analysis laser capture microdissection tumor microenvironment

Pathology-Driven Comprehensive Proteomic Profiling of the Prostate Cancer Tumor Microenvironment. (2016)

Abstract Prostate cancer is the second most common cancer in men worldwide. Gleason grading is an important predictor of prostate cancer outcomes and is influential in determining patient treatment options. Clinical decisions based on a Gleason score of 7 are difficult as the prognosis for individuals diagnosed with Gleason 4+3 cancer is much worse than for those diagnosed with Gleason 3+4 cancer. Laser capture microdissection (LCM) is a highly precise method to isolate specific cell populations or discrete microregions from tissues. This report undertook a detailed molecular characterization of the tumor microenvironment in prostate cancer to define the proteome in the epithelial and stromal regions from tumor foci of Gleason grades 3 and 4. Tissue regions of interest were isolated from several Gleason 3+3 and Gleason 4+4 tumors using telepathology to leverage specialized pathology expertise to support LCM. Over 2,000 proteins were identified following liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis of all regions of interest. Statistical analysis revealed significant differences in protein expression (>100 proteins) between Gleason 3 and Gleason 4 regions-in both stromal and epithelial compartments. A subset of these proteins has had prior strong association with prostate cancer, thereby providing evidence for the authenticity of the approach. Finally, validation of these proteins by immunohistochemistry has been obtained using an independent cohort of prostate cancer tumor specimens.Implications: This unbiased strategy provides a strong foundation for the development of biomarker protein panels with significant diagnostic and prognostic potential. Mol Cancer Res; 15(3); 281-93. ©2017 AACR.
Collections Ireland -> University College Dublin -> PubMed

Full list of authors on original publication

Stephen R Pennington, Massimo Loda, Stephen P Finn, John O'Leary, Aurelie Fabre, Michaela Bowden, Rosanna Inzitari, Lance Liotta, Virginia Espina, Rosina Lis and 2 others

Experts in our system

1
Stephen R Pennington
University College Dublin
 
2
Massimo Loda
Trinity College Dublin
Total Publications: 7
 
3
Stephen P Finn
Trinity College Dublin
Total Publications: 60
 
4
John O'Leary
Trinity College Dublin
Total Publications: 93
 
5
Aurélie Fabre
University College Dublin
Total Publications: 15
 
6
Lance Liotta
Dublin City University
Total Publications: 6
 
7
Virginia Espina
Dublin City University