B. Steward and C. Wild, International Agency for Research on Cancer, 2014.

A. Jemal, F. Bray, and M. Center, Global cancer statistics, CA: A Cancer Journal for Clinicians, vol.82, issue.19 suppl, pp.69-90, 2011.
DOI : 10.1097/00002030-199912240-00012

M. Broeders, S. Moss, L. Nyström, S. Njor, H. Jonsson et al., The Impact of Mammographic Screening on Breast Cancer Mortality in Europe: A Review of Observational Studies, Journal of Medical Screening, vol.51, issue.1, pp.14-25, 2012.
DOI : 10.1258/jms.2011.011027

J. Park, W. Anderson, and M. Gail, Improvements in US Breast Cancer Survival and Proportion Explained by Tumor Size and Estrogen-Receptor Status, Journal of Clinical Oncology, vol.33, issue.26, pp.2870-2876, 2015.
DOI : 10.1200/JCO.2014.59.9191
URL : http://europepmc.org/articles/pmc4554748?pdf=render

P. Gøtzsche and K. Jørgensen, Screening for breast cancer with mammography, Cochrane Database Syst Rev, vol.6, p.1877, 2013.

D. Lobbezoo, R. Van-kampen, A. Voogd, M. Dercksen, F. Van-den-berkmortel et al., Prognosis of metastatic breast cancer: are there differences between patients with de novo and recurrent metastatic breast cancer?, British Journal of Cancer, vol.16, issue.9, pp.1445-51, 2015.
DOI : 10.1007/s10549-014-2916-8
URL : http://www.nature.com/bjc/journal/v112/n9/pdf/bjc2015127a.pdf

S. Swain, J. Baselga, S. Kim, J. Ro, V. Semiglazov et al., Pertuzumab, Trastuzumab, and Docetaxel in HER2-Positive Metastatic Breast Cancer, New England Journal of Medicine, vol.372, issue.8, pp.724-758, 2015.
DOI : 10.1056/NEJMoa1413513
URL : http://tampub.uta.fi/bitstream/10024/98585/1/pertuzumab_trastuzumab_plus_2015.pdf

A. Jr, H. De-azambuja, E. Colozza, M. Bines, J. Piccart et al., Long-term toxic effects of adjuvant chemotherapy in breast cancer

, Ann Oncol, vol.22, issue.9, pp.1939-1986, 2011.

M. Dowsett, I. Sestak, E. Lopez-knowles, K. Sidhu, and A. Dunbier, DX and IHC4 for Predicting Risk of Distant Recurrence After Endocrine Therapy, Journal of Clinical Oncology, vol.31, issue.22, pp.2783-90, 2013.
DOI : 10.1200/JCO.2012.46.1558

J. Mandelblatt, N. Stout, C. Schechter, J. Van-den-broek, and D. Miglioretti, Collaborative Modeling of the Benefits and Harms Associated With Different U.S. Breast Cancer Screening Strategies, Annals of Internal Medicine, vol.164, issue.4, pp.215-240, 2016.
DOI : 10.7326/M15-1536

M. Marmot, D. Altman, and D. Cameron, The benefits and harms of breast cancer screening: an independent review, British Journal of Cancer, vol.15, issue.11, pp.1778-86, 2012.
DOI : 10.1136/jech.2008.083774

E. Myers, P. Moorman, J. Gierisch, L. Havrilesky, L. Grimm et al., Benefits and Harms of Breast Cancer Screening, JAMA, vol.314, issue.15, pp.1615-1649, 2015.
DOI : 10.1001/jama.2015.13183

K. Oeffinger, E. Fontham, R. Etzioni, A. Herzig, J. Michaelson et al., Breast Cancer Screening for Women at Average Risk, JAMA, vol.314, issue.15, pp.1599-614, 2015.
DOI : 10.1001/jama.2015.12783

B. Lauby-secretan, C. Scoccianti, D. Loomis, L. Benbrahim-tallaa, and V. Bouvard, Breast-Cancer Screening ??? Viewpoint of the IARC Working Group, New England Journal of Medicine, vol.372, issue.24, pp.2353-2361, 2015.
DOI : 10.1056/NEJMsr1504363

D. Lastier, E. Salines, and A. Rogel, Programme de dépistage du cancer du sein en France : résultats 2010, évolutions depuis 2006. Saint- Maurice: Institut de veille sanitaire, Disponible à partir de l'URL

S. Ouédraogo, T. Dabakuyo-yonli, and A. Roussot, European transnational ecological deprivation index and participation in population-based breast cancer screening programmes in France, Preventive Medicine, vol.63, pp.103-111, 2014.
DOI : 10.1016/j.ypmed.2013.12.007

P. Dialla, P. Arveux, S. Ouedraogo, C. Pornet, and A. Bertaut, Age-related socio-economic and geographic disparities in breast cancer stage at diagnosis: a population-based study, The European Journal of Public Health, vol.10, issue.6
DOI : 10.1136/bmj.38114.679387.AE

, Eur J Public Health, vol.25, issue.6, pp.966-72, 2015.

G. Moutel, N. Duchange, S. Darquy, S. De-montgolfier, and F. Papin-lefebvre, Women???s participation in breast cancer screening in France ??? an ethical approach, BMC Medical Ethics, vol.370, issue.21, p.64, 2014.
DOI : 10.1056/NEJMp1401875
URL : https://hal.archives-ouvertes.fr/inserm-01084088

S. Duffy, D. Michalopoulos, S. Sebuødegård, and S. Hofvind, Trends in aggregate cancer incidence rates in relation to screening and possible overdiagnosis: A word of caution, Journal of Medical Screening, vol.21, issue.1, pp.24-33, 2014.
DOI : 10.1002/ijc.26280

C. Uzan, C. Mazouni, M. Ferchiou, L. Ciolovan, C. Balleyguier et al., A Model to Predict the Risk of Upgrade to Malignancy at Surgery in Atypical Breast Lesions Discovered on Percutaneous Biopsy Specimens, Annals of Surgical Oncology, vol.121, issue.9, pp.2850-2857, 2013.
DOI : 10.1007/s10549-009-0534-7

, European guidelines for quality assurance in breast cancer screening and diagnosis, International Agency for Research on Cancer (IARC), 2006.

D. Miglioretti, J. Lange, J. Van-den-broek, C. Lee, and N. Van-ravesteyn, Radiation-Induced Breast Cancer Incidence and Mortality From Digital Mammography Screening, Annals of Internal Medicine, vol.164, issue.4, pp.205-219, 2016.
DOI : 10.7326/M15-1241
URL : http://annals.org/data/journals/aim/935000/aime201602160-m151241.pdf

S. Canale, C. Balleyguier, and C. Dromain, Breast cancer imaging. Rev Prat, vol.63, issue.10, pp.1378-83, 2013.

S. Vedantham, A. Karellas, G. Vijayaraghavan, and D. Kopans, Digital Breast Tomosynthesis: State of the Art, Radiology, vol.277, issue.3, pp.663-84, 2015.
DOI : 10.1148/radiol.2015141303

B. Sprague, N. Stout, C. Schechter, N. Van-ravesteyn, and M. Cevik, Benefits, Harms, and Cost-Effectiveness of Supplemental Ultrasonography Screening for Women With Dense Breasts, Annals of Internal Medicine, vol.162, issue.3, pp.157-66, 2015.
DOI : 10.7326/M14-0692

C. Balleyguier, L. Ciolovan, S. Ammari, S. Canale, S. Sethom et al., Breast elastography: The technical process and its applications, Diagnostic and Interventional Imaging, vol.94, issue.5, pp.503-516, 2013.
DOI : 10.1016/j.diii.2013.02.006
URL : https://doi.org/10.1016/j.diii.2013.02.006

T. Forshew, M. Murtaza, C. Parkinson, D. Gale, D. Tsui et al., Noninvasive Identification and Monitoring of Cancer Mutations by Targeted Deep Sequencing of Plasma DNA, Science Translational Medicine, vol.14, issue.3
DOI : 10.1111/j.1048-891x.2004.014305.x

, Sci Transl Med, vol.4, issue.136, pp.136-68, 2012.

C. Bettegowda, M. Sausen, R. Leary, I. Kinde, and Y. Wang, Detection of circulating tumor DNA in early-and late-stage human malignancies, Sci Transl Med, vol.6, issue.224, pp.224-248, 2014.

J. Beaver, D. Jelovac, S. Balukrishna, R. Cochran, and S. Croessmann, Detection of Cancer DNA in Plasma of Patients with Early-Stage Breast Cancer, Clinical Cancer Research, vol.20, issue.10, pp.2643-50, 2014.
DOI : 10.1158/1078-0432.CCR-13-2933

D. Mattos-arruda, L. Cortes, J. Santarpia, L. Vivancos, A. Tabernero et al., Circulating tumour cells and cell-free DNA as tools for managing breast cancer, Nature Reviews Clinical Oncology, vol.8, issue.7, pp.377-89, 2013.
DOI : 10.1158/1541-7786.MCR-09-0314

A. Saliou, F. Bidard, O. Lantz, M. Stern, A. Vincent-salomon et al., Circulating tumor DNA for triple-negative breast cancer diagnosis and treatment decisions, Expert Review of Molecular Diagnostics, vol.14, issue.1, pp.39-50, 2016.
DOI : 10.1155/2013/928562

L. Hood and S. Friend, Predictive, personalized, preventive, participatory (P4) cancer medicine, Nature Reviews Clinical Oncology, vol.8, issue.3, pp.184-191, 2011.
DOI : 10.1038/nrclinonc.2010.230

T. Royce, L. Hendrix, W. Stokes, I. Allen, and R. Chen, Cancer Screening Rates in Individuals With Different Life Expectancies, JAMA Internal Medicine, vol.174, issue.10, pp.1558-65, 2014.
DOI : 10.1001/jamainternmed.2014.3895
URL : https://jamanetwork.com/journals/jamainternalmedicine/articlepdf/1897549/ioi140078.pdf

C. Gross, Cancer Screening in Older Persons, JAMA Internal Medicine, vol.174, issue.10, pp.1565-1572, 2014.
DOI : 10.1001/jamainternmed.2014.3901

S. Saadatmand, I. Obdeijn, E. Rutgers, J. Oosterwijk, and R. Tollenaar, mutation or familial risk in the MRI screening study (MRISC), International Journal of Cancer, vol.13, issue.7, pp.1729-1767, 2015.
DOI : 10.1158/1078-0432.CCR-07-0689

, Dépistage du cancer du sein en France : identification des femmes à haut risque et modalités de dépistage, HAS, vol.2014

F. Couch, K. Nathanson, and K. Offit, Two Decades After BRCA: Setting Paradigms in Personalized Cancer Care and Prevention, Science, vol.310, issue.31, pp.1466-70, 2014.
DOI : 10.1001/jama.2013.276573
URL : http://europepmc.org/articles/pmc4074902?pdf=render

S. Eccles, E. Aboagye, and A. Symak, Critical research gaps and translational priorities for the successful prevention and treatment of breast cancer, Breast Cancer Research, vol.101, issue.5, p.92, 2013.
DOI : 10.1093/jnci/djp386

A. Howell, A. Anderson, R. Clarke, S. Duffy, and D. Evans, Risk determination and prevention of breast cancer, Breast Cancer Research, vol.4, issue.62, p.446, 2014.
DOI : 10.1126/scitranslmed.3003218

J. Costantino, M. Gail, D. Pee, S. Anderson, and C. Redmond, Validation Studies for Models Projecting the Risk of Invasive and Total Breast Cancer Incidence, JNCI Journal of the National Cancer Institute, vol.87, issue.10, pp.1541-1549, 1999.
DOI : 10.1093/jnci/87.10.720

L. Dartois, É. Gauthier, J. Heitzmann, L. Baglietto, S. Michiels et al., A comparison between different prediction models for, pp.103-89

, Synthèse invasive breast cancer occurrence in the French E3N cohort, pp.415-441, 2015.

J. Tyrer, S. Duffy, and J. Cuzick, A breast cancer prediction model incorporating familial and personal risk factors, Statistics in Medicine, vol.6, issue.7, pp.1111-1141, 2004.
DOI : 10.1080/135952201753337086

W. Barlow, E. White, R. Ballard-barbash, P. Vacek, and L. Titus-ernstoff, Prospective Breast Cancer Risk Prediction Model for Women Undergoing Screening Mammography, JNCI: Journal of the National Cancer Institute, vol.98, issue.17, pp.1204-1218, 2006.
DOI : 10.1093/jnci/92.15.1217

J. Chen, D. Pee, R. Ayyagari, B. Graubard, and C. Schairer, Projecting Absolute Invasive Breast Cancer Risk in White Women With a Model That Includes Mammographic Density, JNCI: Journal of the National Cancer Institute, vol.98, issue.17
DOI : 10.1007/s10549-005-5152-4

, J Natl Cancer Int, vol.98, issue.17, pp.1215-1241, 2006.

J. Tice, S. Cummings, R. Smith-bindman, L. Ichikawa, W. Barlow et al., Using Clinical Factors and Mammographic Breast Density to Estimate Breast Cancer Risk: Development and Validation of a New Predictive Model, Annals of Internal Medicine, vol.148, issue.5, pp.337-384, 2008.
DOI : 10.7326/0003-4819-148-5-200803040-00004

A. Brentnall, E. Harkness, S. Astley, L. Donnelly, and P. Stavrinos, Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort, Breast Cancer Research, vol.10, issue.1, p.147, 2015.
DOI : 10.1186/bcr2123

J. Warwick, H. Birke, J. Stone, R. Warren, E. Pinney et al., Mammographic breast density refines Tyrer-Cuzick estimates of breast cancer risk in high-risk women: findings from the placebo arm of the International Breast Cancer Intervention Study I, Breast Cancer Research, vol.98, issue.5, p.451, 2014.
DOI : 10.1093/jnci/djj365

E. Gauthier, G. Fagherazzi, S. Ragusa, A. Dunant, F. Clavel-chapelon et al., A new evolving breast cancer risk evaluation model able to drive patients to personalized screening/prevention programs, Cancer Res, vol.73, issue.24s, pp.2-14, 2013.

T. Anothaisintawee, Y. Teerawattananon, C. Wiratkapun, V. Kasamesup, and A. Thakkinstian, Risk prediction models of breast cancer: a systematic review of model performances, Breast Cancer Research and Treatment, vol.97, issue.16, pp.1-10, 2012.
DOI : 10.1093/jnci/dji237

D. Easton, P. Pharoah, A. Antoniou, M. Tischkowitz, and S. Tavtigian, Gene-Panel Sequencing and the Prediction of Breast-Cancer Risk, New England Journal of Medicine, vol.372, issue.23, pp.2243-57, 2015.
DOI : 10.1056/NEJMsr1501341

K. Michailidou, P. Hall, and A. Gonzalez-neira, Large-scale genotyping identifies 41 new loci associated with breast cancer risk, Nature Genetics, vol.52, issue.4, pp.353-61, 2013.
DOI : 10.1371/journal.pgen.1002639

N. Mavaddat, P. Pharoah, and K. Michailidou, Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants, JNCI: Journal of the National Cancer Institute, vol.30, issue.35, 2015.
DOI : 10.1200/JCO.2012.41.7469

A. Joshi, S. Lindström, A. Hüsing, M. Barrdahl, and T. Vanderweele, Additive Interactions Between Susceptibility Single-Nucleotide Polymorphisms Identified in Genome-Wide Association Studies and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium, American Journal of Epidemiology, vol.99, issue.2, pp.1018-1045, 2014.
DOI : 10.1093/biomet/ass012

T. Wittenberger, S. Sleigh, D. Reisel, M. Zikan, and B. Wahl, DNA methylation markers for early detection of women???s cancer: promise and??challenges, Epigenomics, vol.6, issue.1, pp.311-338, 2014.
DOI : 10.1093/ije/dyr238

J. Ruiz-de-almodóvar, S. Menjón, C. A. Chamorro, C. Ríos, S. Delgado et al., ESR1 gene promoter region methylation in free circulating DNA and its correlation with estrogen receptor protein expression in tumor tissue in breast cancer patients Personalizing mammography by breast density and other risk factors for breast cancer: analysis of health benefits and cost-effectiveness, BMC Cancer Ann Int Med, vol.1456155, issue.1, pp.5910-5930, 2011.

L. Yaghjyan, A. Pettersson, G. Colditz, L. Collins, S. Schnitt et al., Postmenopausal mammographic breast density and subsequent breast cancer risk according to selected tissue markers, British Journal of Cancer, vol.117, issue.7, pp.1104-1117, 2015.
DOI : 10.1158/1055-9965.EPI-06-0806
URL : http://www.nature.com/bjc/journal/v113/n7/pdf/bjc2015315a.pdf

A. Pettersson, R. Graff, G. Ursin, S. Silva, I. Mccormack et al., Mammographic density phenotypes and risk of breast cancer: a metaanalysis, J Natl Cancer Inst, vol.106, issue.5, 2014.

J. Blanch, M. Sala, J. Ibáñez, L. Domingo, B. Fernandez et al., Impact of Risk Factors on Different Interval Cancer Subtypes in a Population-Based Breast Cancer Screening Programme, PLoS ONE, vol.9, issue.10, p.110207, 2014.
DOI : 10.1371/journal.pone.0110207.s002

J. Elmore, Review: Mammography screening reduces breast cancer mortality in women at average risk, Annals of Internal Medicine, vol.164, issue.6, 2016.
DOI : 10.7326/ACPJC-2016-164-6-026

Q. Guo, M. Schmidt, P. Kraft, S. Canisius, and C. Chen, Identification of Novel Genetic Markers of Breast Cancer Survival, JNCI: Journal of the National Cancer Institute, vol.5, issue.8, 2015.
DOI : 10.1002/bjs.9562

D. Cox, Is it possible to identify genetic determinants of lethal breast cancers? Invited talk, Eur Breast cancer, 2016.

C. Tlemsani, D. Boinon, M. Yung, S. Ragusa, C. Mazouni et al., Abstract P3-10-03: Receipt of breast cancer risk assessment and personalized prevention information among women diagnosed with a benign breast lesion (BBL) in a one stop breast unit: A prospective assessment, Cancer Research, vol.76, issue.4 Supplement, pp.3-10, 2016.
DOI : 10.1158/1538-7445.SABCS15-P3-10-03

L. Pace and N. Keating, A Systematic Assessment of Benefits and Risks to Guide Breast Cancer Screening Decisions, JAMA, vol.311, issue.13, pp.1327-1362, 2014.
DOI : 10.1001/jama.2014.1398
URL : http://jama.jamanetwork.com/data/journals/jama/929938/jrv140002.pdf

, Dépistage du cancer du sein : en route vers le futur tome 103 > n89 > septembre, 2016.