Map Making in the 21st Century: Charting Breast Cancer Susceptibility Pathways in Rodent Models

被引:3
作者
Blackburn, Anneke C. [1 ]
Jerry, D. Joseph [2 ,3 ]
机构
[1] Australian Natl Univ, John Curtin Sch Med Res, Canberra, ACT 0200, Australia
[2] Pioneer Valley Life Sci Inst, Springfield, MA 01199 USA
[3] Univ Massachusetts Amherst, Dept Vet & Anim Sci, Amherst, MA 01003 USA
基金
美国国家卫生研究院; 英国医学研究理事会;
关键词
Breast cancer; Animal models; Genetic mapping; Modifier genes; p53; SINGLE NUCLEOTIDE POLYMORPHISM; ACCELERATES TUMOR-FORMATION; QUANTITATIVE TRAIT LOCUS; P53 GERMLINE MUTATIONS; MAMMARY-TUMORS; MICE; RISK; TUMORIGENESIS; RADIATION; RAT;
D O I
10.1007/s10911-011-9201-9
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Genetic factors play an important role in determining risk and resistance to increased breast cancer. Recent technological advances have made it possible to analyze hundreds of thousands of single nucleotide polymorphisms in large-scale association studies in humans and have resulted in identification of alleles in over 20 genes that influence breast cancer risk. Despite these advances, the challenge remains in identifying what the functional polymorphisms are that confer the increased risk, and how these genetic variants interact with each other and with environmental factors. In rodents, the incidence of mammary tumors varies among strains, such that they can provide alternate ideas for candidate pathways involved in humans. Mapping studies in animals have unearthed numerous loci for breast cancer susceptibility that have been validated in human populations. In a reciprocal manner, knockin and knockout mice have been used to validate the tumorigenicity of risk alleles found in population studies. Rodent studies also underscore the complexity of interactions among alleles. The fact that genes affecting risk and resistance to mammary tumors in rodents depend greatly upon the carcinogenic challenge emphasizes the importance of gene x environment interactions. The challenge to rodent geneticists now is to capitalize on the ability to control the genetics and environment in rodent models of tumorigenesis to better understand the biology of breast cancer development, to identify those polymorphisms most relevant to human susceptibility and to identify compensatory pathways that can be targeted for improved prevention in women at highest risk of developing breast cancer.
引用
收藏
页码:57 / 64
页数:8
相关论文
共 61 条
[1]  
Aisenberg AC, 1997, CANCER, V79, P1203, DOI 10.1002/(SICI)1097-0142(19970315)79:6<1203::AID-CNCR20>3.0.CO
[2]  
2-2
[3]   Global trends in breast cancer incidence and mortality 1973-1997 [J].
Althuis, MD ;
Dozier, JM ;
Anderson, WF ;
Devesa, SS ;
Brinton, LA .
INTERNATIONAL JOURNAL OF EPIDEMIOLOGY, 2005, 34 (02) :405-412
[4]   Models of genetic susceptibility to breast cancer [J].
Antoniou, A. C. ;
Easton, D. F. .
ONCOGENE, 2006, 25 (43) :5898-5905
[5]   Common Breast Cancer Susceptibility Alleles and the Risk of Breast Cancer for BRCA1 and BRCA2 Mutation Carriers: Implications for Risk Prediction [J].
Antoniou, Antonis C. ;
Beesley, Jonathan ;
McGuffog, Lesley ;
Sinilnikova, Olga M. ;
Healey, Sue ;
Neuhausen, Susan L. ;
Ding, Yuan Chun ;
Rebbeck, Timothy R. ;
Weitzel, Jeffrey N. ;
Lynch, Henry T. ;
Isaacs, Claudine ;
Ganz, Patricia A. ;
Tomlinson, Gail ;
Olopade, Olufunmilayo I. ;
Couch, Fergus J. ;
Wang, Xianshu ;
Lindor, Noralane M. ;
Pankratz, Vernon S. ;
Radice, Paolo ;
Manoukian, Siranoush ;
Peissel, Bernard ;
Zaffaroni, Daniela ;
Barile, Monica ;
Viel, Alessandra ;
Allavena, Anna ;
Dall'Olio, Valentina ;
Peterlongo, Paolo ;
Szabo, Csilla I. ;
Zikan, Michal ;
Claes, Kathleen ;
Poppe, Bruce ;
Foretova, Lenka ;
Mai, Phuong L. ;
Greene, Mark H. ;
Rennert, Gad ;
Lejbkowicz, Flavio ;
Glendon, Gord ;
Ozcelik, Hilmi ;
Andrulis, Irene L. ;
Thomassen, Mads ;
Gerdes, Anne-Marie ;
Sunde, Lone ;
Cruger, Dorthe ;
Jensen, Uffe Birk ;
Caligo, Maria ;
Friedman, Eitan ;
Kaufman, Bella ;
Laitman, Yael ;
Milgrom, Roni ;
Dubrovsky, Maya .
CANCER RESEARCH, 2010, 70 (23) :9742-9754
[6]  
Backlund MG, 2001, CANCER RES, V61, P6577
[7]   The breast cancer susceptibility allele CHEK2*1100delC promotes genomic instability in a knock-in mouse model [J].
Bahassi, El Mustapha ;
Penner, C. Gail ;
Robbins, Susan B. ;
Tichy, Elisia ;
Feliciano, Estrella ;
Yin, Moying ;
Liang, Li ;
Deng, Li ;
Tischfield, Jay A. ;
Stambrook, Peter J. .
MUTATION RESEARCH-FUNDAMENTAL AND MOLECULAR MECHANISMS OF MUTAGENESIS, 2007, 616 (1-2) :201-209
[8]   Mice with the CHEK2*1100delC SNP are predisposed to cancer with a strong gender bias [J].
Bahassi, El Mustapha ;
Robbins, Susan B. ;
Yin, Moying ;
Boivin, Gregory P. ;
Kuiper, Raoul ;
van Steeg, Harry ;
Stambrook, Peter J. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2009, 106 (40) :17111-17116
[9]   Variation of breast cancer risk among BRCA1/2 carriers [J].
Begg, Colin B. ;
Haile, Robert W. ;
Borg, Ake ;
Malone, Kathleen E. ;
Concannon, Patrick ;
Thomas, Duncan C. ;
Langholz, Bryan ;
Bernstein, Leslie ;
Olsen, Jorgen H. ;
Lynch, Charles F. ;
Anton-Culver, Hoda ;
Capanu, Marinela ;
Liang, Xiaolin ;
Hummer, Amanda J. ;
Sima, Cami ;
Bernstein, Jonine L. .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2008, 299 (02) :194-201
[10]   Relative frequency and morphology of cancers in carriers of germline TP53 mutations [J].
Birch, JM ;
Alston, RD ;
McNally, RJQ ;
Evans, DGR ;
Kelsey, AM ;
Harris, M ;
Eden, OB ;
Varley, JM .
ONCOGENE, 2001, 20 (34) :4621-4628