Literature DB >> 27196757

Chromatin Regulators as a Guide for Cancer Treatment Choice.

Zachary A Gurard-Levin1, Laurence O W Wilson2, Vera Pancaldi3, Sophie Postel-Vinay4, Fabricio G Sousa5, Cecile Reyes6, Elisabetta Marangoni6, David Gentien6, Alfonso Valencia3, Yves Pommier5, Paul Cottu7, Geneviève Almouzni1.   

Abstract

The limited capacity to predict a patient's response to distinct chemotherapeutic agents is a major hurdle in cancer management. The efficiency of a large fraction of current cancer therapeutics (radio- and chemotherapies) is influenced by chromatin structure. Reciprocally, alterations in chromatin organization may affect resistance mechanisms. Here, we explore how the misexpression of chromatin regulators-factors involved in the establishment and maintenance of functional chromatin domains-can inform about the extent of docetaxel response. We exploit Affymetrix and NanoString gene expression data for a set of chromatin regulators generated from breast cancer patient-derived xenograft models and patient samples treated with docetaxel. Random Forest classification reveals specific panels of chromatin regulators, including key components of the SWI/SNF chromatin remodeler, which readily distinguish docetaxel high-responders and poor-responders. Further exploration of SWI/SNF components in the comprehensive NCI-60 dataset reveals that the expression inversely correlates with docetaxel sensitivity. Finally, we show that loss of the SWI/SNF subunit BRG1 (SMARCA4) in a model cell line leads to enhanced docetaxel sensitivity. Altogether, our findings point toward chromatin regulators as biomarkers for drug response as well as therapeutic targets to sensitize patients toward docetaxel and combat drug resistance. Mol Cancer Ther; 15(7); 1768-77. ©2016 AACR. ©2016 American Association for Cancer Research.

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Year:  2016        PMID: 27196757      PMCID: PMC4936925          DOI: 10.1158/1535-7163.MCT-15-1008

Source DB:  PubMed          Journal:  Mol Cancer Ther        ISSN: 1535-7163            Impact factor:   6.261


  56 in total

1.  Predicting in vitro drug sensitivity using Random Forests.

Authors:  Gregory Riddick; Hua Song; Susie Ahn; Jennifer Walling; Diego Borges-Rivera; Wei Zhang; Howard A Fine
Journal:  Bioinformatics       Date:  2010-12-05       Impact factor: 6.937

2.  Direct multiplexed measurement of gene expression with color-coded probe pairs.

Authors:  Gary K Geiss; Roger E Bumgarner; Brian Birditt; Timothy Dahl; Naeem Dowidar; Dwayne L Dunaway; H Perry Fell; Sean Ferree; Renee D George; Tammy Grogan; Jeffrey J James; Malini Maysuria; Jeffrey D Mitton; Paola Oliveri; Jennifer L Osborn; Tao Peng; Amber L Ratcliffe; Philippa J Webster; Eric H Davidson; Leroy Hood; Krassen Dimitrov
Journal:  Nat Biotechnol       Date:  2008-02-17       Impact factor: 54.908

Review 3.  A review of feature selection techniques in bioinformatics.

Authors:  Yvan Saeys; Iñaki Inza; Pedro Larrañaga
Journal:  Bioinformatics       Date:  2007-08-24       Impact factor: 6.937

Review 4.  Gene expression profiling in breast cancer: classification, prognostication, and prediction.

Authors:  Jorge S Reis-Filho; Lajos Pusztai
Journal:  Lancet       Date:  2011-11-19       Impact factor: 79.321

5.  Challenges translating breast cancer gene signatures into the clinic.

Authors:  Britta Weigelt; Lajos Pusztai; Alan Ashworth; Jorge S Reis-Filho
Journal:  Nat Rev Clin Oncol       Date:  2011-08-30       Impact factor: 66.675

6.  MiR-34a regulates therapy resistance by targeting HDAC1 and HDAC7 in breast cancer.

Authors:  Mei-Yi Wu; Junjiang Fu; Xiuli Xiao; Jingbo Wu; Ray-Chang Wu
Journal:  Cancer Lett       Date:  2014-08-27       Impact factor: 8.679

7.  Chromatin assembly factor-1, a marker of clinical value to distinguish quiescent from proliferating cells.

Authors:  Sophie E Polo; Stamatios E Theocharis; Jerzy Klijanienko; Alexia Savignoni; Bernard Asselain; Philippe Vielh; Geneviève Almouzni
Journal:  Cancer Res       Date:  2004-04-01       Impact factor: 12.701

8.  A new model of patient tumor-derived breast cancer xenografts for preclinical assays.

Authors:  Elisabetta Marangoni; Anne Vincent-Salomon; Nathalie Auger; Armelle Degeorges; Franck Assayag; Patricia de Cremoux; Ludmilla de Plater; Charlotte Guyader; Gonzague De Pinieux; Jean-Gabriel Judde; Magali Rebucci; Carine Tran-Perennou; Xavier Sastre-Garau; Brigitte Sigal-Zafrani; Olivier Delattre; Véronique Diéras; Marie-France Poupon
Journal:  Clin Cancer Res       Date:  2007-07-01       Impact factor: 12.531

9.  Prospective derivation of a living organoid biobank of colorectal cancer patients.

Authors:  Marc van de Wetering; Hayley E Francies; Joshua M Francis; Gergana Bounova; Francesco Iorio; Apollo Pronk; Winan van Houdt; Joost van Gorp; Amaro Taylor-Weiner; Lennart Kester; Anne McLaren-Douglas; Joyce Blokker; Sridevi Jaksani; Sina Bartfeld; Richard Volckman; Peter van Sluis; Vivian S W Li; Sara Seepo; Chandra Sekhar Pedamallu; Kristian Cibulskis; Scott L Carter; Aaron McKenna; Michael S Lawrence; Lee Lichtenstein; Chip Stewart; Jan Koster; Rogier Versteeg; Alexander van Oudenaarden; Julio Saez-Rodriguez; Robert G J Vries; Gad Getz; Lodewyk Wessels; Michael R Stratton; Ultan McDermott; Matthew Meyerson; Mathew J Garnett; Hans Clevers
Journal:  Cell       Date:  2015-05-07       Impact factor: 41.582

10.  Random generalized linear model: a highly accurate and interpretable ensemble predictor.

Authors:  Lin Song; Peter Langfelder; Steve Horvath
Journal:  BMC Bioinformatics       Date:  2013-01-16       Impact factor: 3.169

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  6 in total

Review 1.  Combining epigenetic drugs with other therapies for solid tumours - past lessons and future promise.

Authors:  Daphné Morel; Daniel Jeffery; Geneviève Almouzni; Sophie Postel-Vinay; Sandrine Aspeslagh
Journal:  Nat Rev Clin Oncol       Date:  2019-09-30       Impact factor: 66.675

Review 2.  The BRG1 ATPase of human SWI/SNF chromatin remodeling enzymes as a driver of cancer.

Authors:  Qiong Wu; Jane B Lian; Janet L Stein; Gary S Stein; Jeffrey A Nickerson; Anthony N Imbalzano
Journal:  Epigenomics       Date:  2017-05-19       Impact factor: 4.778

3.  Exome-wide somatic mutation characterization of small bowel adenocarcinoma.

Authors:  Ulrika A Hänninen; Riku Katainen; Tomas Tanskanen; Roosa-Maria Plaketti; Riku Laine; Jiri Hamberg; Ari Ristimäki; Eero Pukkala; Minna Taipale; Jukka-Pekka Mecklin; Linda M Forsström; Esa Pitkänen; Kimmo Palin; Niko Välimäki; Netta Mäkinen; Lauri A Aaltonen
Journal:  PLoS Genet       Date:  2018-03-09       Impact factor: 5.917

4.  Characterization and validation of potential therapeutic targets based on the molecular signature of patient-derived xenografts in gastric cancer.

Authors:  Zuhua Chen; Wenwen Huang; Tiantian Tian; Wanchun Zang; Jingyuan Wang; Zhentao Liu; Zhongwu Li; Yumei Lai; Zhi Jiang; Jing Gao; Lin Shen
Journal:  J Hematol Oncol       Date:  2018-02-13       Impact factor: 17.388

5.  Endogenous HIF2A reporter systems for high-throughput functional screening.

Authors:  M Nazhif Zaini; Saroor A Patel; Saiful E Syafruddin; Paulo Rodrigues; Sakari Vanharanta
Journal:  Sci Rep       Date:  2018-08-13       Impact factor: 4.379

6.  BRD4 bimodal binding at promoters and drug-induced displacement at Pol II pause sites associates with I-BET sensitivity.

Authors:  P Khoueiry; A Ward Gahlawat; M Petretich; A M Michon; D Simola; E Lam; E E Furlong; V Benes; M A Dawson; R K Prinjha; G Drewes; P Grandi
Journal:  Epigenetics Chromatin       Date:  2019-07-02       Impact factor: 4.954

  6 in total

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