Literature DB >> 28385453

Co-clinical Analysis of a Genetically Engineered Mouse Model and Human Prostate Cancer Reveals Significance of NKX3.1 Expression for Response to 5α-reductase Inhibition.

Aditya Dutta1, Sukanya Panja2, Renu K Virk3, Jaime Yeji Kim4, Roseann Zott5, Serge Cremers6, David M Golombos7, Deli Liu8, Juan Miguel Mosquera9, Elahe A Mostaghel10, Christopher E Barbieri11, Antonina Mitrofanova12, Cory Abate-Shen13.   

Abstract

BACKGROUND: Although men on active surveillance for prostate cancer (PCa) may benefit from intervention with 5α-reductase inhibitors (5-ARIs), it has not been resolved whether 5-ARIs are effective for delaying disease progression and, if so, whether specific patients are more likely to benefit.
OBJECTIVE: To identify molecular features predictive of patient response to 5-ARIs. DESIGN, SETTING, AND PARTICIPANTS: Nkx3.1 mutant mice, a model of early-stage PCa, were treated with the 5-ARI finasteride, and histopathological and molecular analyses were performed. Cross-species computational analyses were used to compare expression profiles for treated mice with those of patients who had received 5-ARIs before prostatectomy. INTERVENTION: Finasteride administered to Nkx3.1 mutant mice. 5-ARI-treated patient specimens obtained retrospectively. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: Endpoints in mice included histopathology, immunohistochemistry, and molecular profiling. GraphPad Prism software, R-studio, and Matlab were used for statistical and data analyses. RESULTS AND LIMITATIONS: Finasteride treatment of Nkx3.1 mutant mice resulted in a significant reduction in prostatic intraepithelial neoplasia (PIN), as evident from histopathological and expression profiling analyses. Cross-species computational analysis comparing finasteride-treated mice with two independent 5-ARI-treated patient cohorts showed that reduced NKX3.1 expression is predictive of response to 5-ARI. A limitation of the study is that these retrospective human cohorts have relatively few patients with limited clinical outcome data. Future prospective clinical trials are needed to validate whether stratifying patients on the basis of NKX3.1 expression improves the benefit of 5-ARIs during active surveillance.
CONCLUSIONS: This co-clinical study implicates NKX3.1 status as a predictor of response to 5-ARIs, and suggests that molecular features, including NKX3.1 expression, may help to identify PCa patients most likely to benefit from 5-ARIs during active surveillance. PATIENT
SUMMARY: The aim of precision cancer prevention is to tailor interventions on the basis of individualized patient characteristics. We propose that patients with low NKX3.1 expression are optimal candidates for intervention with 5α-reductase inhibitors as an adjunct to active surveillance.
Copyright © 2017 European Association of Urology. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  5α-Reductase inhibitors; Active surveillance; Chemoprevention; Dutasteride; Finasteride; NKX3.1; Precision cancer prevention; Prostate cancer

Mesh:

Substances:

Year:  2017        PMID: 28385453      PMCID: PMC5600823          DOI: 10.1016/j.eururo.2017.03.031

Source DB:  PubMed          Journal:  Eur Urol        ISSN: 0302-2838            Impact factor:   20.096


  36 in total

1.  Dutasteride in localised prostate cancer management: the REDEEM randomised, double-blind, placebo-controlled trial.

Authors:  Neil E Fleshner; M Scott Lucia; Blair Egerdie; Lorne Aaron; Gregg Eure; Indrani Nandy; Libby Black; Roger S Rittmaster
Journal:  Lancet       Date:  2012-01-24       Impact factor: 79.321

2.  Effect of dutasteride on the risk of prostate cancer.

Authors:  Gerald L Andriole; David G Bostwick; Otis W Brawley; Leonard G Gomella; Michael Marberger; Francesco Montorsi; Curtis A Pettaway; Teuvo L Tammela; Claudio Teloken; Donald J Tindall; Matthew C Somerville; Timothy H Wilson; Ivy L Fowler; Roger S Rittmaster
Journal:  N Engl J Med       Date:  2010-04-01       Impact factor: 91.245

3.  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

Review 4.  Optimizing mouse models for precision cancer prevention.

Authors:  Clémentine Le Magnen; Aditya Dutta; Cory Abate-Shen
Journal:  Nat Rev Cancer       Date:  2016-02-19       Impact factor: 60.716

5.  Integration of regulatory networks by NKX3-1 promotes androgen-dependent prostate cancer survival.

Authors:  Peck Yean Tan; Cheng Wei Chang; Kern Rei Chng; K D Senali Abayratna Wansa; Wing-Kin Sung; Edwin Cheung
Journal:  Mol Cell Biol       Date:  2011-11-14       Impact factor: 4.272

6.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

Review 7.  Molecular genetics of prostate cancer: new prospects for old challenges.

Authors:  Michael M Shen; Cory Abate-Shen
Journal:  Genes Dev       Date:  2010-09-15       Impact factor: 11.361

8.  Cooperativity of Nkx3.1 and Pten loss of function in a mouse model of prostate carcinogenesis.

Authors:  Minjung J Kim; Robert D Cardiff; Nishita Desai; Whitney A Banach-Petrosky; Ramon Parsons; Michael M Shen; Cory Abate-Shen
Journal:  Proc Natl Acad Sci U S A       Date:  2002-02-19       Impact factor: 11.205

9.  Loss of NKX3.1 expression in human prostate cancers correlates with tumor progression.

Authors:  C Bowen; L Bubendorf; H J Voeller; R Slack; N Willi; G Sauter; T C Gasser; P Koivisto; E E Lack; J Kononen; O P Kallioniemi; E P Gelmann
Journal:  Cancer Res       Date:  2000-11-01       Impact factor: 12.701

10.  Long-term survival of participants in the prostate cancer prevention trial.

Authors:  Ian M Thompson; Phyllis J Goodman; Catherine M Tangen; Howard L Parnes; Lori M Minasian; Paul A Godley; M Scott Lucia; Leslie G Ford
Journal:  N Engl J Med       Date:  2013-08-15       Impact factor: 91.245

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  10 in total

Review 1.  Genetically Engineered Mouse Models of Prostate Cancer in the Postgenomic Era.

Authors:  Juan M Arriaga; Cory Abate-Shen
Journal:  Cold Spring Harb Perspect Med       Date:  2019-02-01       Impact factor: 6.915

Review 2.  Precision intervention for prostate cancer: Re-evaluating who is at risk.

Authors:  Alexandros Papachristodoulou; Cory Abate-Shen
Journal:  Cancer Lett       Date:  2022-04-29       Impact factor: 9.756

Review 3.  Exploring liver cancer biology through functional genetic screens.

Authors:  Cun Wang; Ying Cao; Chen Yang; René Bernards; Wenxin Qin
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2021-06-23       Impact factor: 46.802

4.  NKX3.1 Localization to Mitochondria Suppresses Prostate Cancer Initiation.

Authors:  Alexandros Papachristodoulou; Aditya Dutta; Antonio Rodriguez-Calero; Sukanya Panja; Elizabeth Margolskee; Renu K Virk; Teresa A Milner; Luis Pina Martina; Jaime Y Kim; Matteo Di Bernardo; Alanna B Williams; Elvis A Maliza; Joseph M Caputo; Christopher Haas; Vinson Wang; Guarionex Joel De Castro; Sven Wenske; Hanina Hibshoosh; James M McKiernan; Michael M Shen; Mark A Rubin; Antonina Mitrofanova; Cory Abate-Shen
Journal:  Cancer Discov       Date:  2021-04-23       Impact factor: 39.397

5.  lncRNA STAT4-AS1 Inhibited TH17 Cell Differentiation by Targeting RORγt Protein.

Authors:  Hanlin He; Xiangjie Qiu; Mingming Qi; Ousman Bajinka; Ling Qin; Yurong Tan
Journal:  J Immunol Res       Date:  2022-04-28       Impact factor: 4.493

Review 6.  Patient-Derived Xenograft Models of Breast Cancer and Their Application.

Authors:  Takahiko Murayama; Noriko Gotoh
Journal:  Cells       Date:  2019-06-20       Impact factor: 6.600

7.  Cooperation of loss of NKX3.1 and inflammation in prostate cancer initiation.

Authors:  Clémentine Le Magnen; Renu K Virk; Aditya Dutta; Jaime Yeji Kim; Sukanya Panja; Zoila A Lopez-Bujanda; Andrea Califano; Charles G Drake; Antonina Mitrofanova; Cory Abate-Shen
Journal:  Dis Model Mech       Date:  2018-11-16       Impact factor: 5.758

Review 8.  Co-Clinical Trials: An Innovative Drug Development Platform for Cholangiocarcinoma.

Authors:  Brinda Balasubramanian; Simran Venkatraman; Kyaw Zwar Myint; Tavan Janvilisri; Kanokpan Wongprasert; Supeecha Kumkate; David O Bates; Rutaiwan Tohtong
Journal:  Pharmaceuticals (Basel)       Date:  2021-01-11

9.  pathCHEMO, a generalizable computational framework uncovers molecular pathways of chemoresistance in lung adenocarcinoma.

Authors:  Nusrat J Epsi; Sukanya Panja; Sharon R Pine; Antonina Mitrofanova
Journal:  Commun Biol       Date:  2019-09-06

Review 10.  Big Data to Knowledge: Application of Machine Learning to Predictive Modeling of Therapeutic Response in Cancer.

Authors:  Sukanya Panja; Sarra Rahem; Cassandra J Chu; Antonina Mitrofanova
Journal:  Curr Genomics       Date:  2021-12-16       Impact factor: 2.689

  10 in total

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