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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1971 2
1972 1
1974 1
1976 3
1977 1
1978 5
1979 3
1980 8
1981 9
1982 8
1983 10
1984 13
1985 24
1986 19
1987 18
1988 33
1989 35
1990 50
1991 38
1992 61
1993 76
1994 100
1995 90
1996 104
1997 150
1998 149
1999 158
2000 199
2001 218
2002 193
2003 256
2004 282
2005 326
2006 375
2007 395
2008 450
2009 459
2010 564
2011 659
2012 701
2013 742
2014 735
2015 890
2016 829
2017 845
2018 952
2019 1025
2020 1223
2021 1358
2022 1445
2023 1427
2024 1129

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16,869 results

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Breast cancer biomarkers: risk assessment, diagnosis, prognosis, prediction of treatment efficacy and toxicity, and recurrence.
M Braden A, V Stankowski R, M Engel J, A Onitilo A. M Braden A, et al. Curr Pharm Des. 2014;20(30):4879-98. doi: 10.2174/1381612819666131125145517. Curr Pharm Des. 2014. PMID: 24283956 Review.
Breast cancer is the most common cancer amongst women in the United States and around the world. ...With the rising costs of healthcare and the introduction of new targeted therapies, use of biomarkers has emerged as a method of assisting with breast …
Breast cancer is the most common cancer amongst women in the United States and around the world. ...With the rising cos …
Polygenic risk scores and breast cancer risk prediction.
Roberts E, Howell S, Evans DG. Roberts E, et al. Breast. 2023 Feb;67:71-77. doi: 10.1016/j.breast.2023.01.003. Epub 2023 Jan 10. Breast. 2023. PMID: 36646003 Free PMC article. Review.
Polygenic Risk Scores (PRS) are a major component of accurate breast cancer risk prediction and have the potential to improve screening and prevention strategies. ...This review describes the role of PRS in breast cancer risk …
Polygenic Risk Scores (PRS) are a major component of accurate breast cancer risk prediction and have the …
Breast cancer.
Veronesi U, Boyle P, Goldhirsch A, Orecchia R, Viale G. Veronesi U, et al. Lancet. 2005 May 14-20;365(9472):1727-41. doi: 10.1016/S0140-6736(05)66546-4. Lancet. 2005. PMID: 15894099 Review.
Breast cancer remains a public-health issue on a global scale. We report new information about the disease from the past 5 years. Early age at first birth, increasing parity, and tamoxifen use are related to long-term lifetime reduction in breast-cancer …
Breast cancer remains a public-health issue on a global scale. We report new information about the disease from the past 5 yea …
Breast Cancer Risk Prediction Models: Challenges in Clinical Application.
Paquin M, Fasolino T, Steck MB. Paquin M, et al. Clin J Oncol Nurs. 2019 Jun 1;23(3):256-259. doi: 10.1188/19.CJON.256-259. Clin J Oncol Nurs. 2019. PMID: 31099796 Review.
Various breast cancer risk prediction models (BCRPMs) exist to assess an individual's risk of developing malignancy and risk of having a mutation associated with hereditary risk of developing cancer. ...
Various breast cancer risk prediction models (BCRPMs) exist to assess an individual's risk of developing …
Supervised risk predictor of breast cancer based on intrinsic subtypes.
Parker JS, Mullins M, Cheang MC, Leung S, Voduc D, Vickery T, Davies S, Fauron C, He X, Hu Z, Quackenbush JF, Stijleman IJ, Palazzo J, Marron JS, Nobel AB, Mardis E, Nielsen TO, Ellis MJ, Perou CM, Bernard PS. Parker JS, et al. J Clin Oncol. 2009 Mar 10;27(8):1160-7. doi: 10.1200/JCO.2008.18.1370. Epub 2009 Feb 9. J Clin Oncol. 2009. PMID: 19204204 Free PMC article.
PURPOSE To improve on current standards for breast cancer prognosis and prediction of chemotherapy benefit by developing a risk model that incorporates the gene expression-based "intrinsic" subtypes luminal A, luminal B, HER2-enriched, and basal-like. …
PURPOSE To improve on current standards for breast cancer prognosis and prediction of chemotherapy benefit by developin …
Towards implementation of comprehensive breast cancer risk prediction tools in health care for personalised prevention.
Moorthie S, Babb de Villiers C, Burton H, Kroese M, Antoniou AC, Bhattacharjee P, Garcia-Closas M, Hall P, Schmidt MK. Moorthie S, et al. Prev Med. 2022 Jun;159:107075. doi: 10.1016/j.ypmed.2022.107075. Epub 2022 May 6. Prev Med. 2022. PMID: 35526672 Free article. Review.
Advances in knowledge about breast cancer risk factors have led to the development of more comprehensive risk models. These integrate information on a variety of risk factors such as lifestyle, genetics, family history, and breast density …
Advances in knowledge about breast cancer risk factors have led to the development of more comprehensive risk mo …
CARDIOTOXICITY RISK PREDICTION IN BREAST CANCER PATIENTS.
Kozhukhov SM, Dovganych NV, Smolanka II, Lygyrda OF, Bazyka OY, Lyalkin SA, Ivankova OM, Yarinkina OA, Tkhor NV. Kozhukhov SM, et al. Probl Radiac Med Radiobiol. 2021 Dec;26:498-512. doi: 10.33145/2304-8336-2021-26-498-512. Probl Radiac Med Radiobiol. 2021. PMID: 34965569 English, Ukrainian.
Breast cancer patients receive combined antitumor treatment (surgery, chemotherapy, targeted drugs and radia-tion), so they are considered to be the patients with potentially high risk of cardiotoxicity (CT). ...MATERIAL AND METHODS: The study included 52 …
Breast cancer patients receive combined antitumor treatment (surgery, chemotherapy, targeted drugs and radia-tion), so they ar …
Breast cancer-related lymphoedema: Risk factors and prediction model.
Martínez-Jaimez P, Armora Verdú M, Forero CG, Álvarez Salazar S, Fuster Linares P, Monforte-Royo C, Masia J. Martínez-Jaimez P, et al. J Adv Nurs. 2022 Mar;78(3):765-775. doi: 10.1111/jan.15005. Epub 2021 Aug 7. J Adv Nurs. 2022. PMID: 34363640
METHODS: We reviewed the clinical records of 504 women who, between January 2008 and May 2018, underwent surgery for breast cancer that involved ALND. Logistic regression was used to identify significant risk factors for lymphoedema. ...Secondary lymphoedema …
METHODS: We reviewed the clinical records of 504 women who, between January 2008 and May 2018, underwent surgery for breast cancer …
Predicting breast cancer risk using personal health data and machine learning models.
Stark GF, Hart GR, Nartowt BJ, Deng J. Stark GF, et al. PLoS One. 2019 Dec 27;14(12):e0226765. doi: 10.1371/journal.pone.0226765. eCollection 2019. PLoS One. 2019. PMID: 31881042 Free PMC article.
Among women, breast cancer is a leading cause of death. Breast cancer risk predictions can inform screening and preventative actions. ...By contrast, we developed machine learning models that used highly accessible personal health data to …
Among women, breast cancer is a leading cause of death. Breast cancer risk predictions can inform …
Prediction of breast cancer risk for sisters of women attending screening.
Mao X, He W, Eriksson M, Lindström LS, Holowko N, Bajalica-Lagercrantz S, Hammarström M, Grassmann F, Humphreys K, Easton D, Hall P, Czene K. Mao X, et al. J Natl Cancer Inst. 2023 Nov 8;115(11):1310-1317. doi: 10.1093/jnci/djad101. J Natl Cancer Inst. 2023. PMID: 37243694 Free PMC article.
BACKGROUND: Risk assessment is important for breast cancer prevention and early detection. We aimed to examine whether common risk factors, mammographic features, and breast cancer risk prediction scores of a woman were asso …
BACKGROUND: Risk assessment is important for breast cancer prevention and early detection. We aimed to examine whether …
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