Literature DB >> 29251021

Prostate cancer proteomics: clinically useful protein biomarkers and future perspectives.

Paula Intasqui1, Ricardo P Bertolla1, Marcus Vinicius Sadi1.   

Abstract

INTRODUCTION: Although prostate cancer constitutes one of the most important, death-related diseases in the male population, there is still a need for identification of sensitive biomarkers that could precociously detect the disease and differentiate aggressive from indolent cancers, in order to decrease overtreatment. Proteomics research has improved understanding on mechanisms underlying tumorigenesis, cancer cells migration and invasion potential, and castration resistance. This review has focused on proteomic studies of prostate cancer published in the recent years, with a special emphasis on determination of biomarkers for cancer progression and diagnosis. Areas covered: Shotgun and targeted-proteomic studies of prostate cancer in different matrices are reviewed, i.e., prostate tissue, prostate cell lines, blood (serum and plasma), urine, seminal plasma, and exosomes. The most important biomarkers for cancer diagnosis and aggressiveness characterization are highlighted. Expert commentary: In general, results demonstrate alteration in cell cycle control, DNA repair, proteasomal degradation, and metabolic activity. However, these studies suffer from low reproducibility due to heterogeneity of the cancer itself, as well as to techniques utilized for protein identification/quantification. Downstream confirmatory studies in separate cohorts are warranted in order to demonstrate accuracy of these results.

Entities:  

Keywords:  Biomarkers; diagnosis; prognosis; prostatic neoplasms; proteomics

Mesh:

Substances:

Year:  2017        PMID: 29251021     DOI: 10.1080/14789450.2018.1417846

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  13 in total

Review 1.  Ceramide and Exosomes: A Novel Target in Cancer Biology and Therapy.

Authors:  Ahmed Elsherbini; Erhard Bieberich
Journal:  Adv Cancer Res       Date:  2018-06-09       Impact factor: 6.242

Review 2.  Emerging Proteins in CRPC: Functional Roles and Clinical Implications.

Authors:  Piaoping Kong; Lingyu Zhang; Zhengliang Zhang; Kangle Feng; Yiwen Sang; Xiuzhi Duan; Chunhua Liu; Tao Sun; Zhihua Tao; Weiwei Liu
Journal:  Front Oncol       Date:  2022-06-10       Impact factor: 5.738

3.  Construction and Validation of a Robust Cancer Stem Cell-Associated Gene Set-Based Signature to Predict Early Biochemical Recurrence in Prostate Cancer.

Authors:  Bide Liu; Xun Li; Jiuzhi Li; Hongyong Jin; Hongliang Jia; Xiaohu Ge
Journal:  Dis Markers       Date:  2020-10-09       Impact factor: 3.434

4.  Mapping human N-linked glycoproteins and glycosylation sites using mass spectrometry.

Authors:  Liuyi Dang; Li Jia; Yuan Zhi; Pengfei Li; Ting Zhao; Bojing Zhu; Rongxia Lan; Yingwei Hu; Hui Zhang; Shisheng Sun
Journal:  Trends Analyt Chem       Date:  2019-02-13       Impact factor: 12.296

Review 5.  The Peripheral and Intratumoral Immune Cell Landscape in Cancer Patients: A Proxy for Tumor Biology and a Tool for Outcome Prediction.

Authors:  Annette Schnell; Christian Schmidl; Wolfgang Herr; Peter J Siska
Journal:  Biomedicines       Date:  2018-02-24

6.  Barrett's esophagus network analysis revealed that arginine, alanine, aspartate, glutamate, valine, leucine and isoleucine can be biomarkers.

Authors:  Mohammad Reza Zali; Mohammad-Mehdi Zadeh-Esmaeel; Majid Rezaei Tavirani; Sina Rezaei Tavirani; Mohsen Norouzinia; Mostafa Rezaei-Tavirani
Journal:  Gastroenterol Hepatol Bed Bench       Date:  2018

7.  Development and validation of a set of novel and robust 4-lncRNA-based nomogram predicting prostate cancer survival by bioinformatics analysis.

Authors:  Peng Zhang; Xiaodong Tan; Daoqiang Zhang; Qi Gong; Xuefeng Zhang
Journal:  PLoS One       Date:  2021-05-04       Impact factor: 3.240

8.  Screening to Identify an Immune Landscape-Based Prognostic Predictor and Therapeutic Target for Prostate Cancer.

Authors:  Yanting Shen; Huan Xu; Manmei Long; Miaomiao Guo; Peizhang Li; Ming Zhan; Zhong Wang
Journal:  Front Oncol       Date:  2021-11-05       Impact factor: 6.244

9.  A hnRNP K⁻AR-Related Signature Reflects Progression toward Castration-Resistant Prostate Cancer.

Authors:  Matteo Capaia; Ilaria Granata; Mario Guarracino; Andrea Petretto; Elvira Inglese; Carlo Cattrini; Nicoletta Ferrari; Francesco Boccardo; Paola Barboro
Journal:  Int J Mol Sci       Date:  2018-06-30       Impact factor: 5.923

10.  A novel gene signature to predict immune infiltration and outcome in patients with prostate cancer.

Authors:  Ning Shao; Hong Tang; Yuanyuan Mi; Yao Zhu; Fangning Wan; Dingwei Ye
Journal:  Oncoimmunology       Date:  2020-06-01       Impact factor: 8.110

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