Literature DB >> 23704282

Genomic profiling defines subtypes of prostate cancer with the potential for therapeutic stratification.

Jamie R Schoenborn1, Pete Nelson, Min Fang.   

Abstract

The remarkable variation in prostate cancer clinical behavior represents an opportunity to identify and understand molecular features that can be used to stratify patients into clinical subgroups for more precise outcome prediction and treatment selection. Significant progress has been made in recent years in establishing the composition of genomic and epigenetic alterations in localized and advanced prostate cancers using array-based technologies and next-generation sequencing approaches. The results of these efforts shed new light on our understanding of this disease and point to subclasses of prostate cancer that exhibit distinct vulnerabilities to therapeutics. The goal of this review is to categorize the genomic data and, where available, corresponding expression, functional, or related therapeutic information, from recent large-scale and in-depth studies that show a new appreciation for the molecular complexity of this disease. We focus on how these results inform our growing understanding of the mechanisms that promote genetic instability, as well as routes by which specific genes and biologic pathways may serve as biomarkers or potential targets for new therapies. We summarize data that indicate the presence of genetic subgroups of prostate cancers and show the high level of intra- and intertumoral heterogeneity, as well as updated information on disseminated and circulating tumor cells. The integrated analysis of all types of genetic alterations that culminate in altering critical biologic pathways may serve as the impetus for developing new therapeutics, repurposing agents used currently for treating other malignancies, and stratifying early and advanced prostate cancers for appropriate interventions. ©2013 AACR.

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Year:  2013        PMID: 23704282      PMCID: PMC3732571          DOI: 10.1158/1078-0432.CCR-12-3606

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  74 in total

Review 1.  Cancer genetics and genomics of human FOX family genes.

Authors:  Masuko Katoh; Maki Igarashi; Hirokazu Fukuda; Hitoshi Nakagama; Masaru Katoh
Journal:  Cancer Lett       Date:  2012-09-27       Impact factor: 8.679

2.  Oncogene-mediated alterations in chromatin conformation.

Authors:  David S Rickman; T David Soong; Benjamin Moss; Juan Miguel Mosquera; Jan Dlabal; Stéphane Terry; Theresa Y MacDonald; Joseph Tripodi; Karen Bunting; Vesna Najfeld; Francesca Demichelis; Ari M Melnick; Olivier Elemento; Mark A Rubin
Journal:  Proc Natl Acad Sci U S A       Date:  2012-05-21       Impact factor: 11.205

3.  Exome sequencing of prostate cancer supports the hypothesis of independent tumour origins.

Authors:  Johan Lindberg; Daniel Klevebring; Wennuan Liu; Mårten Neiman; Jianfeng Xu; Peter Wiklund; Fredrik Wiklund; Ian G Mills; Lars Egevad; Henrik Grönberg
Journal:  Eur Urol       Date:  2012-03-31       Impact factor: 20.096

Review 4.  Circulating tumor cells in prostate cancer: a potential surrogate marker of survival.

Authors:  Jérôme Doyen; Catherine Alix-Panabières; Paul Hofman; Scott K Parks; Emmanuel Chamorey; Hervé Naman; Jean-Michel Hannoun-Lévi
Journal:  Crit Rev Oncol Hematol       Date:  2011-06-15       Impact factor: 6.312

5.  Genomic profiling reveals alternative genetic pathways of prostate tumorigenesis.

Authors:  Jacques Lapointe; Chunde Li; Craig P Giacomini; Keyan Salari; Stephanie Huang; Pei Wang; Michelle Ferrari; Tina Hernandez-Boussard; James D Brooks; Jonathan R Pollack
Journal:  Cancer Res       Date:  2007-09-15       Impact factor: 12.701

6.  FOXA1 promotes tumor progression in prostate cancer via the insulin-like growth factor binding protein 3 pathway.

Authors:  Yusuke Imamura; Shinichi Sakamoto; Takumi Endo; Takanobu Utsumi; Miki Fuse; Takahito Suyama; Koji Kawamura; Takashi Imamoto; Kojiro Yano; Katsuhiro Uzawa; Naoki Nihei; Hiroyoshi Suzuki; Atsushi Mizokami; Takeshi Ueda; Naohiko Seki; Hideki Tanzawa; Tomohiko Ichikawa
Journal:  PLoS One       Date:  2012-08-03       Impact factor: 3.240

7.  The genomic complexity of primary human prostate cancer.

Authors:  Michael F Berger; Michael S Lawrence; Francesca Demichelis; Yotam Drier; Kristian Cibulskis; Andrey Y Sivachenko; Andrea Sboner; Raquel Esgueva; Dorothee Pflueger; Carrie Sougnez; Robert Onofrio; Scott L Carter; Kyung Park; Lukas Habegger; Lauren Ambrogio; Timothy Fennell; Melissa Parkin; Gordon Saksena; Douglas Voet; Alex H Ramos; Trevor J Pugh; Jane Wilkinson; Sheila Fisher; Wendy Winckler; Scott Mahan; Kristin Ardlie; Jennifer Baldwin; Jonathan W Simons; Naoki Kitabayashi; Theresa Y MacDonald; Philip W Kantoff; Lynda Chin; Stacey B Gabriel; Mark B Gerstein; Todd R Golub; Matthew Meyerson; Ashutosh Tewari; Eric S Lander; Gad Getz; Mark A Rubin; Levi A Garraway
Journal:  Nature       Date:  2011-02-10       Impact factor: 49.962

8.  Copy number analysis indicates monoclonal origin of lethal metastatic prostate cancer.

Authors:  Wennuan Liu; Sari Laitinen; Sofia Khan; Mauno Vihinen; Jeanne Kowalski; Guoqiang Yu; Li Chen; Charles M Ewing; Mario A Eisenberger; Michael A Carducci; William G Nelson; Srinivasan Yegnasubramanian; Jun Luo; Yue Wang; Jianfeng Xu; William B Isaacs; Tapio Visakorpi; G Steven Bova
Journal:  Nat Med       Date:  2009-04-12       Impact factor: 53.440

9.  High-resolution genome-wide copy-number analysis suggests a monoclonal origin of multifocal prostate cancer.

Authors:  Lara K Boyd; Xueying Mao; Liyan Xue; Dongmei Lin; Tracy Chaplin; Sakunthala C Kudahetti; Elzbieta Stankiewicz; Yongwei Yu; Luis Beltran; Greg Shaw; John Hines; R Tim D Oliver; Daniel M Berney; Bryan D Young; Yong-Jie Lu
Journal:  Genes Chromosomes Cancer       Date:  2012-02-15       Impact factor: 5.006

10.  Overcoming mutation-based resistance to antiandrogens with rational drug design.

Authors:  Minna D Balbas; Michael J Evans; David J Hosfield; John Wongvipat; Vivek K Arora; Philip A Watson; Yu Chen; Geoffrey L Greene; Yang Shen; Charles L Sawyers
Journal:  Elife       Date:  2013-04-09       Impact factor: 8.140

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  37 in total

Review 1.  Research Needs for Understanding the Biology of Overdiagnosis in Cancer Screening.

Authors:  Sudhir Srivastava; Brian J Reid; Sharmistha Ghosh; Barnett S Kramer
Journal:  J Cell Physiol       Date:  2016-04-29       Impact factor: 6.384

2.  Cross-species regulatory network analysis identifies a synergistic interaction between FOXM1 and CENPF that drives prostate cancer malignancy.

Authors:  Alvaro Aytes; Antonina Mitrofanova; Celine Lefebvre; Mariano J Alvarez; Mireia Castillo-Martin; Tian Zheng; James A Eastham; Anuradha Gopalan; Kenneth J Pienta; Michael M Shen; Andrea Califano; Cory Abate-Shen
Journal:  Cancer Cell       Date:  2014-05-12       Impact factor: 31.743

3.  PBOV1 as a potential biomarker for more advanced prostate cancer based on protein and digital histomorphometric analysis.

Authors:  Neil M Carleton; Guangjing Zhu; Mikhail Gorbounov; M Craig Miller; Kenneth J Pienta; Linda M S Resar; Robert W Veltri
Journal:  Prostate       Date:  2018-03-09       Impact factor: 4.104

4.  The context of prostate cancer genomics in personalized medicine.

Authors:  Yanling Liu
Journal:  Oncol Lett       Date:  2017-03-24       Impact factor: 2.967

5.  Methylation profiling identified novel differentially methylated markers including OPCML and FLRT2 in prostate cancer.

Authors:  Yu Wu; Jerry Davison; Xiaoyu Qu; Colm Morrissey; Barry Storer; Lisha Brown; Robert Vessella; Peter Nelson; Min Fang
Journal:  Epigenetics       Date:  2016-02-18       Impact factor: 4.528

6.  Essential elements of personalized medicine.

Authors:  Wylie Burke; Susan Brown Trinidad; Nancy A Press
Journal:  Urol Oncol       Date:  2013-12-08       Impact factor: 3.498

7.  A tumor deconstruction platform identifies definitive end points in the evaluation of drug responses.

Authors:  R R Naik; A K Singh; A M Mali; M F Khirade; S A Bapat
Journal:  Oncogene       Date:  2015-04-27       Impact factor: 9.867

Review 8.  PSA and beyond: alternative prostate cancer biomarkers.

Authors:  Sharanjot Saini
Journal:  Cell Oncol (Dordr)       Date:  2016-01-20       Impact factor: 6.730

9.  High-Resolution Genomic Profiling of Disseminated Tumor Cells in Prostate Cancer.

Authors:  Yu Wu; Jamie R Schoenborn; Colm Morrissey; Jing Xia; Sandy Larson; Lisha G Brown; Xiaoyu Qu; Paul H Lange; Peter S Nelson; Robert L Vessella; Min Fang
Journal:  J Mol Diagn       Date:  2015-11-20       Impact factor: 5.568

Review 10.  Epidemiology and genomics of prostate cancer in Asian men.

Authors:  Yao Zhu; Miao Mo; Yu Wei; Junlong Wu; Jian Pan; Stephen J Freedland; Ying Zheng; Dingwei Ye
Journal:  Nat Rev Urol       Date:  2021-03-10       Impact factor: 14.432

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