Literature DB >> 31576646

Tissue Proteome Signatures Associated with Five Grades of Prostate Cancer and Benign Prostatic Hyperplasia.

Rebeca Kawahara1,2, Saulo Recuero3, Fabio C S Nogueira4, Gilberto B Domont4, Katia R M Leite3, Miguel Srougi3, Morten Thaysen-Andersen2, Giuseppe Palmisano1.   

Abstract

The histology-based Gleason score (GS) of prostate cancer (PCa) tissue biopsy is the most accurate predictor of disease aggressiveness and an important measure to guide treatment strategies and patient management. The variability associated with PCa tumor sampling and the subjective determination of the GS are challenges that limit accurate diagnostication and prognostication. Thus, novel molecular signatures are needed to distinguish between indolent and aggressive forms of PCa for better patient management and outcomes. Herein, label-free LC-MS/MS proteomics is used to profile the proteome of 50 PCa tissues spanning five grade groups (n = 10 per group) relative to tissues from individuals with benign prostatic hyperplasia (BPH). Over 2000 proteins are identified albeit at different levels between and within the patient groups, revealing biological processes associated with specific grades. A panel of 11 prostate-derived proteins including IGKV3D-20, RNASET2, TACC2, ANXA7, LMOD1, PRCP, GYG1, NDUFV1, H1FX, APOBEC3C, and CTSZ display the potential to stratify patients from low and high PCa grade groups. Parallel reaction monitoring of the same sample cohort validate the differential expression of LMOD1, GYG1, IGKV3D-20, and RNASET2. The four proteins associated with low and high PCa grades reported here warrant further exploration as candidate biomarkers for PCa aggressiveness.
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  biomarkers; gleason score; mass spectrometry; prostate cancer; proteome; proteomics

Mesh:

Substances:

Year:  2019        PMID: 31576646     DOI: 10.1002/pmic.201900174

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  7 in total

1.  LMOD1, an oncogene associated with Lauren classification, regulates the metastasis of gastric cancer cells through the FAK-AKT/mTOR pathway.

Authors:  Yuen Tan; Qingchuan Chen; Siwei Pan; Wen An; Huimian Xu; Yao Xing; Jianjun Zhang
Journal:  BMC Cancer       Date:  2022-04-30       Impact factor: 4.638

2.  Prognostic Value of a Stemness Index-Associated Signature in Primary Lower-Grade Glioma.

Authors:  Mingwei Zhang; Xuezhen Wang; Xiaoping Chen; Feibao Guo; Jinsheng Hong
Journal:  Front Genet       Date:  2020-05-05       Impact factor: 4.599

3.  Inter- and intra-tumor heterogeneity of metastatic prostate cancer determined by digital spatial gene expression profiling.

Authors:  Lauren Brady; Michelle Kriner; Ilsa Coleman; Colm Morrissey; Martine Roudier; Lawrence D True; Roman Gulati; Stephen R Plymate; Zoey Zhou; Brian Birditt; Rhonda Meredith; Gary Geiss; Margaret Hoang; Joseph Beechem; Peter S Nelson
Journal:  Nat Commun       Date:  2021-03-03       Impact factor: 14.919

4.  Prediction of potential prognostic biomarkers in metastatic prostate cancer based on a circular RNA-mediated competing endogenous RNA regulatory network.

Authors:  Liang Luo; Lei-Lei Zhang; Wen Tao; Tao-Lin Xia; Liao-Yuan Li
Journal:  PLoS One       Date:  2021-12-03       Impact factor: 3.240

5.  Immunoproteomic and Immunopeptidomic Analyses of Histoplasma capsulatum Reveal Promiscuous and Conserved Epitopes Among Fungi With Vaccine Potential.

Authors:  Brenda Kischkel; Camila Boniche-Alfaro; Isabela de Godoy Menezes; Suelen Andreia Rossi; Claudia Blanes Angeli; Sandro Rogério de Almeida; Giuseppe Palmisano; Leila Lopes-Bezerra; Joshua D Nosanchuk; Carlos Pelleschi Taborda
Journal:  Front Immunol       Date:  2021-11-22       Impact factor: 7.561

Review 6.  On the Road to Accurate Protein Biomarkers in Prostate Cancer Diagnosis and Prognosis: Current Status and Future Advances.

Authors:  Yiwu Yan; Su Yeon Yeon; Chen Qian; Sungyong You; Wei Yang
Journal:  Int J Mol Sci       Date:  2021-12-17       Impact factor: 5.923

Review 7.  Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies.

Authors:  Rui Miguel Marques Bernardino; Ricardo Leão; Rui Henrique; Luis Campos Pinheiro; Prashant Kumar; Prashanth Suravajhala; Hans Christian Beck; Ana Sofia Carvalho; Rune Matthiesen
Journal:  Int J Mol Sci       Date:  2021-12-19       Impact factor: 5.923

  7 in total

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