Literature DB >> 25964295

Polymorphism at 19q13.41 Predicts Breast Cancer Survival Specifically after Endocrine Therapy.

Carl Blomqvist1, Diana Eccles2, Heli Nevanlinna3, Sofia Khan3, Rainer Fagerholm3, Sajjad Rafiq2, William Tapper2, Kristiina Aittomäki4, Jianjun Liu5.   

Abstract

PURPOSE: Although most patients with estrogen receptor (ER)-positive breast cancer benefit from endocrine therapies, a significant proportion do not. Our aim was to identify inherited genetic variations that might predict survival among patients receiving adjuvant endocrine therapies. EXPERIMENTAL
DESIGN: We performed a meta-analysis of two genome-wide studies; Helsinki Breast Cancer Study, 805 patients, with 240 receiving endocrine therapy and Prospective study of Outcomes in Sporadic versus Hereditary breast cancer, 536 patients, with 155 endocrine therapy patients, evaluating 486,478 single-nucleotide polymorphisms (SNP). The top four associations from the endocrine treatment subgroup were further investigated in two independent datasets totaling 5,011 patients, with 3,485 receiving endocrine therapy.
RESULTS: A meta-analysis identified a common SNP rs8113308, mapped to 19q13.41, associating with reduced survival among endocrine-treated patients [hazard ratio (HR), 1.69; 95% confidence interval (CI), 1.37-2.07; P = 6.34 × 10(-7)] and improved survival among ER-negative patients, with a similar trend in ER-positive cases not receiving endocrine therapy. In a multivariate analysis adjusted for conventional prognostic factors, we found a significant interaction between the rs8113308 and endocrine treatment, indicating a predictive, treatment-specific effect of the SNP rs8113308 on breast cancer survival, with the per-allele HR for interaction 2.16 (95% CI, 1.30-3.60; Pinteraction = 0.003) and HR = 7.77 (95% CI, 0.93-64.71) for the homozygous genotype carriers. A biologic rationale is suggested by in silico functional analyses.
CONCLUSIONS: Our findings suggest carrying the rs8113308 rare allele may identify patients who will not benefit from adjuvant endocrine treatment. ©2015 American Association for Cancer Research.

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Year:  2015        PMID: 25964295      PMCID: PMC4574404          DOI: 10.1158/1078-0432.CCR-15-0296

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


  48 in total

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Journal:  Hum Mol Genet       Date:  2011-12-16       Impact factor: 6.150

Review 2.  Gadd45 in stress signaling, cell cycle control, and apoptosis.

Authors:  Jesús M Salvador; Joshua D Brown-Clay; Albert J Fornace
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

3.  The shaping and functional consequences of the microRNA landscape in breast cancer.

Authors:  Heidi Dvinge; Anna Git; Stefan Gräf; Mali Salmon-Divon; Christina Curtis; Andrea Sottoriva; Yongjun Zhao; Martin Hirst; Javier Armisen; Eric A Miska; Suet-Feung Chin; Elena Provenzano; Gulisa Turashvili; Andrew Green; Ian Ellis; Sam Aparicio; Carlos Caldas
Journal:  Nature       Date:  2013-05-05       Impact factor: 49.962

4.  The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups.

Authors:  Christina Curtis; Sohrab P Shah; Suet-Feung Chin; Gulisa Turashvili; Oscar M Rueda; Mark J Dunning; Doug Speed; Andy G Lynch; Shamith Samarajiwa; Yinyin Yuan; Stefan Gräf; Gavin Ha; Gholamreza Haffari; Ali Bashashati; Roslin Russell; Steven McKinney; Anita Langerød; Andrew Green; Elena Provenzano; Gordon Wishart; Sarah Pinder; Peter Watson; Florian Markowetz; Leigh Murphy; Ian Ellis; Arnie Purushotham; Anne-Lise Børresen-Dale; James D Brenton; Simon Tavaré; Carlos Caldas; Samuel Aparicio
Journal:  Nature       Date:  2012-04-18       Impact factor: 49.962

5.  Annotation of functional variation in personal genomes using RegulomeDB.

Authors:  Alan P Boyle; Eurie L Hong; Manoj Hariharan; Yong Cheng; Marc A Schaub; Maya Kasowski; Konrad J Karczewski; Julie Park; Benjamin C Hitz; Shuai Weng; J Michael Cherry; Michael Snyder
Journal:  Genome Res       Date:  2012-09       Impact factor: 9.043

6.  Identification of inherited genetic variations influencing prognosis in early-onset breast cancer.

Authors:  Sajjad Rafiq; William Tapper; Andrew Collins; Sofia Khan; Ioannis Politopoulos; Sue Gerty; Carl Blomqvist; Fergus J Couch; Heli Nevanlinna; Jianjun Liu; Diana Eccles
Journal:  Cancer Res       Date:  2013-01-14       Impact factor: 12.701

7.  Systematic identification of trans eQTLs as putative drivers of known disease associations.

Authors:  Harm-Jan Westra; Marjolein J Peters; Tõnu Esko; Hanieh Yaghootkar; Claudia Schurmann; Johannes Kettunen; Mark W Christiansen; Bruce M Psaty; Samuli Ripatti; Alexander Teumer; Timothy M Frayling; Andres Metspalu; Joyce B J van Meurs; Lude Franke; Benjamin P Fairfax; Katharina Schramm; Joseph E Powell; Alexandra Zhernakova; Daria V Zhernakova; Jan H Veldink; Leonard H Van den Berg; Juha Karjalainen; Sebo Withoff; André G Uitterlinden; Albert Hofman; Fernando Rivadeneira; Peter A C 't Hoen; Eva Reinmaa; Krista Fischer; Mari Nelis; Lili Milani; David Melzer; Luigi Ferrucci; Andrew B Singleton; Dena G Hernandez; Michael A Nalls; Georg Homuth; Matthias Nauck; Dörte Radke; Uwe Völker; Markus Perola; Veikko Salomaa; Jennifer Brody; Astrid Suchy-Dicey; Sina A Gharib; Daniel A Enquobahrie; Thomas Lumley; Grant W Montgomery; Seiko Makino; Holger Prokisch; Christian Herder; Michael Roden; Harald Grallert; Thomas Meitinger; Konstantin Strauch; Yang Li; Ritsert C Jansen; Peter M Visscher; Julian C Knight
Journal:  Nat Genet       Date:  2013-09-08       Impact factor: 38.330

8.  Gadd45a levels in human breast cancer are hormone receptor dependent.

Authors:  Jennifer S Tront; Alliric Willis; Yajue Huang; Barbara Hoffman; Dan A Liebermann
Journal:  J Transl Med       Date:  2013-05-24       Impact factor: 5.531

9.  Long-term effects of continuing adjuvant tamoxifen to 10 years versus stopping at 5 years after diagnosis of oestrogen receptor-positive breast cancer: ATLAS, a randomised trial.

Authors:  Christina Davies; Hongchao Pan; Jon Godwin; Richard Gray; Rodrigo Arriagada; Vinod Raina; Mirta Abraham; Victor Hugo Medeiros Alencar; Atef Badran; Xavier Bonfill; Joan Bradbury; Michael Clarke; Rory Collins; Susan R Davis; Antonella Delmestri; John F Forbes; Peiman Haddad; Ming-Feng Hou; Moshe Inbar; Hussein Khaled; Joanna Kielanowska; Wing-Hong Kwan; Beela S Mathew; Indraneel Mittra; Bettina Müller; Antonio Nicolucci; Octavio Peralta; Fany Pernas; Lubos Petruzelka; Tadeusz Pienkowski; Ramachandran Radhika; Balakrishnan Rajan; Maryna T Rubach; Sera Tort; Gerard Urrútia; Miriam Valentini; Yaochen Wang; Richard Peto
Journal:  Lancet       Date:  2013-03-09       Impact factor: 79.321

10.  Transcriptome and genome sequencing uncovers functional variation in humans.

Authors:  Tuuli Lappalainen; Michael Sammeth; Marc R Friedländer; Peter A C 't Hoen; Jean Monlong; Manuel A Rivas; Mar Gonzàlez-Porta; Natalja Kurbatova; Thasso Griebel; Pedro G Ferreira; Matthias Barann; Thomas Wieland; Liliana Greger; Maarten van Iterson; Jonas Almlöf; Paolo Ribeca; Irina Pulyakhina; Daniela Esser; Thomas Giger; Andrew Tikhonov; Marc Sultan; Gabrielle Bertier; Daniel G MacArthur; Monkol Lek; Esther Lizano; Henk P J Buermans; Ismael Padioleau; Thomas Schwarzmayr; Olof Karlberg; Halit Ongen; Helena Kilpinen; Sergi Beltran; Marta Gut; Katja Kahlem; Vyacheslav Amstislavskiy; Oliver Stegle; Matti Pirinen; Stephen B Montgomery; Peter Donnelly; Mark I McCarthy; Paul Flicek; Tim M Strom; Hans Lehrach; Stefan Schreiber; Ralf Sudbrak; Angel Carracedo; Stylianos E Antonarakis; Robert Häsler; Ann-Christine Syvänen; Gert-Jan van Ommen; Alvis Brazma; Thomas Meitinger; Philip Rosenstiel; Roderic Guigó; Ivo G Gut; Xavier Estivill; Emmanouil T Dermitzakis
Journal:  Nature       Date:  2013-09-15       Impact factor: 49.962

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  6 in total

1.  Mouse mammary tumor viral env sequences are not present in the human genome but are present in breast tumors and normal breast tissues.

Authors:  Steven Lehrer; Peter H Rheinstein
Journal:  Virus Res       Date:  2019-04-03       Impact factor: 3.303

2.  Meta-analysis of three genome-wide association studies identifies two loci that predict survival and treatment outcome in breast cancer.

Authors:  Sofia Khan; Rainer Fagerholm; Latha Kadalayil; William Tapper; Kristiina Aittomäki; Jianjun Liu; Carl Blomqvist; Diana Eccles; Heli Nevanlinna
Journal:  Oncotarget       Date:  2017-11-28

3.  SNPs in lncRNA Regions and Breast Cancer Risk.

Authors:  Maija Suvanto; Jonathan Beesley; Carl Blomqvist; Georgia Chenevix-Trench; Sofia Khan; Heli Nevanlinna
Journal:  Front Genet       Date:  2020-06-30       Impact factor: 4.599

4.  DDRS: Detection of drug response SNPs specifically in patients receiving drug treatment.

Authors:  Yu Rong; Shan-Shan Dong; Wei-Xin Hu; Yan Guo; Yi-Xiao Chen; Jia-Bin Chen; Dong-Li Zhu; Hao Chen; Tie-Lin Yang
Journal:  Comput Struct Biotechnol J       Date:  2021-06-18       Impact factor: 7.271

Review 5.  Breast cancer: The translation of big genomic data to cancer precision medicine.

Authors:  Siew-Kee Low; Hitoshi Zembutsu; Yusuke Nakamura
Journal:  Cancer Sci       Date:  2017-12-30       Impact factor: 6.716

6.  UACA locus is associated with breast cancer chemoresistance and survival.

Authors:  Qianqian Zhu; Emily Schultz; Jirong Long; Janise M Roh; Emily Valice; Cecile A Laurent; Kelly H Radimer; Li Yan; Isaac J Ergas; Warren Davis; Dilrini Ranatunga; Shipra Gandhi; Marilyn L Kwan; Ping-Ping Bao; Wei Zheng; Xiao-Ou Shu; Christine Ambrosone; Song Yao; Lawrence H Kushi
Journal:  NPJ Breast Cancer       Date:  2022-03-23
  6 in total

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