Proteomic Tissue-Based Classifier for Early Prediction of Prostate Cancer Progression

Proteomic Tissue-Based Classifier for Early Prediction of Prostate Cancer Progression

Although ~40% of screen-detected prostate cancers (PCa) are indolent, advanced-stage PCa is a lethal disease with 5-year survival rates around 29%. Identification of biomarkers for early detection of aggressive disease is a key challenge. Starting with 52 candidate biomarkers, selected from existing...

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Bibliographic Details
Main Authors: Yuqian Gao, Yi-Ting Wang, Yongmei Chen, Hui Wang, Denise Young, Tujin Shi, Yingjie Song, Athena A. Schepmoes, Claire Kuo, Thomas L. Fillmore, Wei-Jun Qian, Richard D. Smith, Sudhir Srivastava, Jacob Kagan, Albert Dobi, Isabell A. Sesterhenn, Inger L. Rosner, Gyorgy Petrovics, Karin D. Rodland, Shiv Srivastava, Jennifer Cullen, Tao Liu
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Cancers
Subjects:
biochemical recurrence
biomarkers
early detection
metastasis
prostate cancer
proteomics
Online Access:https://www.mdpi.com/2072-6694/12/5/1268

Internet

https://www.mdpi.com/2072-6694/12/5/1268

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