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Showing 25 to 36 of 68 entries
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A Validated Risk Prediction Model for Breast Cancer in US Black Women.

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Palmer JR, Zirpoli G, Bertrand KA, Battaglia T, Bernstein L, Ambrosone CB, Bandera EV, Troester MA, Rosenberg L, Pfeiffer RM, Trinquart L, Browne K, Nash CJ.
PMID: 34623926
J Clin Oncol. 2021 Dec 01;39(34):3866-3877. doi: 10.1200/JCO.21.01236. Epub 2021 Oct 08.

PURPOSE: Breast cancer risk prediction models are used to identify high-risk women for early detection, targeted interventions, and enrollment into prevention trials. We sought to develop and evaluate a risk prediction model for breast cancer in US Black women,...

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Palmer JR, Zirpoli G, Bertrand KA, et al. A Validated Risk Prediction Model for Breast Cancer in US Black Women. J Clin Oncol. 2021;39(34):3866-3877doi: 10.1200/JCO.21.01236.
Palmer, J. R., Zirpoli, G., Bertrand, K. A., Battaglia, T., Bernstein, L., Ambrosone, C. B., Bandera, E. V., Troester, M. A., Rosenberg, L., Pfeiffer, R. M., Trinquart, L., Browne, K., & Nash, C. J. (2021). A Validated Risk Prediction Model for Breast Cancer in US Black Women. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 39(34), 3866-3877. https://doi.org/10.1200/JCO.21.01236
Palmer, Julie R, et al. "A Validated Risk Prediction Model for Breast Cancer in US Black Women." Journal of clinical oncology : official journal of the American Society of Clinical Oncology vol. 39,34 (2021): 3866-3877. doi: https://doi.org/10.1200/JCO.21.01236
Palmer JR, Zirpoli G, Bertrand KA, Battaglia T, Bernstein L, Ambrosone CB, Bandera EV, Troester MA, Rosenberg L, Pfeiffer RM, Trinquart L, Browne K, Nash CJ. A Validated Risk Prediction Model for Breast Cancer in US Black Women. J Clin Oncol. 2021 Dec 01;39(34):3866-3877. doi: 10.1200/JCO.21.01236. Epub 2021 Oct 08. PMID: 34623926; PMCID: PMC8608262.
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ACTIVITY OF TRASTUZUMAB-EMTANSINE (TDM1) IN HER2-POSITIVE BREAST CANCER BRAIN METASTASES: A CASE SERIES.

Cancer treatment communications

Keith KC, Lee Y, Ewend MG, Zagar TM, Anders CK.
PMID: 27114895
Cancer Treat Commun. 2016;7:43-46. doi: 10.1016/j.ctrc.2016.03.005.

The incidence of breast cancer brain metastasis (BCBM) is increasing due in part to improved management of systemic disease and prolonged survival. Despite this growing population of patients, there exists little consensus for the treatment of HER2-positive BCBM. Lapatinib,...

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Keith KC, Lee Y, Ewend MG, et al. ACTIVITY OF TRASTUZUMAB-EMTANSINE (TDM1) IN HER2-POSITIVE BREAST CANCER BRAIN METASTASES: A CASE SERIES. Cancer Treat Commun. 2016;7:43-46doi: 10.1016/j.ctrc.2016.03.005.
Keith, K. C., Lee, Y., Ewend, M. G., Zagar, T. M., & Anders, C. K. (2016). ACTIVITY OF TRASTUZUMAB-EMTANSINE (TDM1) IN HER2-POSITIVE BREAST CANCER BRAIN METASTASES: A CASE SERIES. Cancer treatment communications, 743-46. https://doi.org/10.1016/j.ctrc.2016.03.005
Keith, Kevin C, et al. "ACTIVITY OF TRASTUZUMAB-EMTANSINE (TDM1) IN HER2-POSITIVE BREAST CANCER BRAIN METASTASES: A CASE SERIES." Cancer treatment communications vol. 7 (2016): 43-46. doi: https://doi.org/10.1016/j.ctrc.2016.03.005
Keith KC, Lee Y, Ewend MG, Zagar TM, Anders CK. ACTIVITY OF TRASTUZUMAB-EMTANSINE (TDM1) IN HER2-POSITIVE BREAST CANCER BRAIN METASTASES: A CASE SERIES. Cancer Treat Commun. 2016;7:43-46. doi: 10.1016/j.ctrc.2016.03.005. PMID: 27114895; PMCID: PMC4840897.
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Outcomes of Hormone-Receptor Positive, HER2-Negative Breast Cancers by Race and Tumor Biological Features.

JNCI cancer spectrum

Benefield HC, Reeder-Hayes KE, Nichols HB, Calhoun BC, Love MI, Kirk EL, Geradts J, Hoadley KA, Cole SR, Earp HS, Olshan AF, Carey LA, Perou CM, Troester MA.
PMID: 33442657
JNCI Cancer Spectr. 2020 Sep 23;5(1):pkaa072. doi: 10.1093/jncics/pkaa072. eCollection 2021 Feb.

BACKGROUND: Black women have higher hormone receptor positive (HR+) breast cancer mortality than White women. Early recurrence rates differ by race, but little is known about genomic predictors of early recurrence among HR+ women.METHODS: Using data from the Carolina...

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Benefield HC, Reeder-Hayes KE, Nichols HB, et al. Outcomes of Hormone-Receptor Positive, HER2-Negative Breast Cancers by Race and Tumor Biological Features. JNCI Cancer Spectr. 2020;5(1):pkaa072doi: 10.1093/jncics/pkaa072.
Benefield, H. C., Reeder-Hayes, K. E., Nichols, H. B., Calhoun, B. C., Love, M. I., Kirk, E. L., Geradts, J., Hoadley, K. A., Cole, S. R., Earp, H. S., Olshan, A. F., Carey, L. A., Perou, C. M., & Troester, M. A. (2021). Outcomes of Hormone-Receptor Positive, HER2-Negative Breast Cancers by Race and Tumor Biological Features. JNCI cancer spectrum, 5(1), pkaa072. https://doi.org/10.1093/jncics/pkaa072
Benefield, Halei C, et al. "Outcomes of Hormone-Receptor Positive, HER2-Negative Breast Cancers by Race and Tumor Biological Features." JNCI cancer spectrum vol. 5,1 (2021): pkaa072. doi: https://doi.org/10.1093/jncics/pkaa072
Benefield HC, Reeder-Hayes KE, Nichols HB, Calhoun BC, Love MI, Kirk EL, Geradts J, Hoadley KA, Cole SR, Earp HS, Olshan AF, Carey LA, Perou CM, Troester MA. Outcomes of Hormone-Receptor Positive, HER2-Negative Breast Cancers by Race and Tumor Biological Features. JNCI Cancer Spectr. 2020 Sep 23;5(1):pkaa072. doi: 10.1093/jncics/pkaa072. eCollection 2021 Feb. PMID: 33442657; PMCID: PMC7791616.
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TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study.

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology

Hurson AN, Abubakar M, Hamilton AM, Conway K, Hoadley KA, Love MI, Olshan AF, Perou CM, Garcia-Closas M, Troester MA.
PMID: 34737209
Cancer Epidemiol Biomarkers Prev. 2021 Nov 04; doi: 10.1158/1055-9965.EPI-21-0661. Epub 2021 Nov 04.

BACKGROUND: TP53 and estrogen receptor (ER) both play essential roles in breast cancer development and progression, with recent research revealing cross-talk between TP53 and ER signaling pathways. Although many studies have demonstrated heterogeneity of risk factor associations across ER...

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Hurson AN, Abubakar M, Hamilton AM, et al. TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study. Cancer Epidemiol Biomarkers Prev. 2021;doi: 10.1158/1055-9965.EPI-21-0661.
Hurson, A. N., Abubakar, M., Hamilton, A. M., Conway, K., Hoadley, K. A., Love, M. I., Olshan, A. F., Perou, C. M., Garcia-Closas, M., & Troester, M. A. (2021). TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study. Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, . https://doi.org/10.1158/1055-9965.EPI-21-0661
Hurson, Amber N, et al. "TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study." Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology vol. (2021). doi: https://doi.org/10.1158/1055-9965.EPI-21-0661
Hurson AN, Abubakar M, Hamilton AM, Conway K, Hoadley KA, Love MI, Olshan AF, Perou CM, Garcia-Closas M, Troester MA. TP53 Pathway Function, Estrogen Receptor Status, and Breast Cancer Risk Factors in the Carolina Breast Cancer Study. Cancer Epidemiol Biomarkers Prev. 2021 Nov 04; doi: 10.1158/1055-9965.EPI-21-0661. Epub 2021 Nov 04. PMID: 34737209.
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Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer.

Cancer research

Patel A, García-Closas M, Olshan AF, Perou CM, Troester MA, Love MI, Bhattacharya A.
PMID: 34711612
Cancer Res. 2022 Jan 01;82(1):25-35. doi: 10.1158/0008-5472.CAN-21-1207. Epub 2021 Oct 28.

Continuous risk of recurrence scores (CRS) based on tumor gene expression are vital prognostic tools for breast cancer. Studies have shown that Black women (BW) have higher CRS than White women (WW). Although systemic injustices contribute substantially to breast...

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Patel A, García-Closas M, Olshan AF, et al. Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer. Cancer Res. 2021;82(1):25-35doi: 10.1158/0008-5472.CAN-21-1207.
Patel, A., García-Closas, M., Olshan, A. F., Perou, C. M., Troester, M. A., Love, M. I., & Bhattacharya, A. (2022). Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer. Cancer research, 82(1), 25-35. https://doi.org/10.1158/0008-5472.CAN-21-1207
Patel, Achal, et al. "Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer." Cancer research vol. 82,1 (2022): 25-35. doi: https://doi.org/10.1158/0008-5472.CAN-21-1207
Patel A, García-Closas M, Olshan AF, Perou CM, Troester MA, Love MI, Bhattacharya A. Gene-Level Germline Contributions to Clinical Risk of Recurrence Scores in Black and White Patients with Breast Cancer. Cancer Res. 2022 Jan 01;82(1):25-35. doi: 10.1158/0008-5472.CAN-21-1207. Epub 2021 Oct 28. PMID: 34711612; PMCID: PMC8732329.
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Replication of GWAS "Hits" by Race for Breast and Prostate Cancers in European Americans and African Americans.

Frontiers in genetics

Barnholtz-Sloan JS, Raska P, Rebbeck TR, Millikan RC.
PMID: 22303333
Front Genet. 2011 Jul 01;2:37. doi: 10.3389/fgene.2011.00037. eCollection 2011.

In this study, we assessed association of genome-wide association studies (GWAS) "hits" by race with adjustment for potential population stratification (PS) in two large, diverse study populations; the Carolina Breast Cancer Study (CBCS; N total = 3693 individuals) and...

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Barnholtz-Sloan JS, Raska P, Rebbeck TR, et al. Replication of GWAS "Hits" by Race for Breast and Prostate Cancers in European Americans and African Americans. Front Genet. 2011;2:37doi: 10.3389/fgene.2011.00037.
Barnholtz-Sloan, J. S., Raska, P., Rebbeck, T. R., & Millikan, R. C. (2011). Replication of GWAS "Hits" by Race for Breast and Prostate Cancers in European Americans and African Americans. Frontiers in genetics, 237. https://doi.org/10.3389/fgene.2011.00037
Barnholtz-Sloan, Jill S, et al. "Replication of GWAS "Hits" by Race for Breast and Prostate Cancers in European Americans and African Americans." Frontiers in genetics vol. 2 (2011): 37. doi: https://doi.org/10.3389/fgene.2011.00037
Barnholtz-Sloan JS, Raska P, Rebbeck TR, Millikan RC. Replication of GWAS "Hits" by Race for Breast and Prostate Cancers in European Americans and African Americans. Front Genet. 2011 Jul 01;2:37. doi: 10.3389/fgene.2011.00037. eCollection 2011. PMID: 22303333; PMCID: PMC3268591.
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Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium.

NPJ breast cancer

Ruiz-Narváez EA, Lunetta KL, Hong CC, Haddad S, Yao S, Cheng TD, Bensen JT, Bandera EV, Haiman CA, Troester MA, Ambrosone CB, Rosenberg L, Palmer JR.
PMID: 27942580
NPJ Breast Cancer. 2016;2. doi: 10.1038/npjbcancer.2016.34. Epub 2016 Oct 26.

The insulin/insulin-like growth factor (IGF) system and related pathways such as growth hormone, and leptin signaling have a key role in cancer development. It is unclear how germline variation in these pathways affects breast cancer risk. We conducted gene-based...

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Ruiz-Narváez EA, Lunetta KL, Hong CC, et al. Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium. NPJ Breast Cancer. 2016;2doi: 10.1038/npjbcancer.2016.34.
Ruiz-Narváez, E. A., Lunetta, K. L., Hong, C. C., Haddad, S., Yao, S., Cheng, T. D., Bensen, J. T., Bandera, E. V., Haiman, C. A., Troester, M. A., Ambrosone, C. B., Rosenberg, L., & Palmer, J. R. (2016). Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium. NPJ breast cancer, 2. https://doi.org/10.1038/npjbcancer.2016.34
Ruiz-Narváez, Edward A, et al. "Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium." NPJ breast cancer vol. 2 (2016). doi: https://doi.org/10.1038/npjbcancer.2016.34
Ruiz-Narváez EA, Lunetta KL, Hong CC, Haddad S, Yao S, Cheng TD, Bensen JT, Bandera EV, Haiman CA, Troester MA, Ambrosone CB, Rosenberg L, Palmer JR. Genetic variation in the insulin, insulin-like growth factor, growth hormone, and leptin pathways in relation to breast cancer in African-American women: the AMBER consortium. NPJ Breast Cancer. 2016;2. doi: 10.1038/npjbcancer.2016.34. Epub 2016 Oct 26. PMID: 27942580; PMCID: PMC5142758.
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Obesity, metabolism and the microenvironment: Links to cancer.

Journal of carcinogenesis

Sundaram S, Johnson AR, Makowski L.
PMID: 24227994
J Carcinog. 2013 Oct 09;12:19. doi: 10.4103/1477-3163.119606.

Historically, cancer research has focused on identifying mutations or amplification of genes within the tumor, which informed the development of targeted therapies against affected pathways. This work often considers tumor cells in isolation; however, it is becoming increasingly apparent...

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Sundaram S, Johnson AR, Makowski L. Obesity, metabolism and the microenvironment: Links to cancer. J Carcinog. 2013;12:19doi: 10.4103/1477-3163.119606.
Sundaram, S., Johnson, A. R., & Makowski, L. (2013). Obesity, metabolism and the microenvironment: Links to cancer. Journal of carcinogenesis, 1219. https://doi.org/10.4103/1477-3163.119606
Sundaram, Sneha, et al. "Obesity, metabolism and the microenvironment: Links to cancer." Journal of carcinogenesis vol. 12 (2013): 19. doi: https://doi.org/10.4103/1477-3163.119606
Sundaram S, Johnson AR, Makowski L. Obesity, metabolism and the microenvironment: Links to cancer. J Carcinog. 2013 Oct 09;12:19. doi: 10.4103/1477-3163.119606. PMID: 24227994; PMCID: PMC3816318.
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On the maximal size of large-average and ANOVA-fit submatrices in a Gaussian random matrix.

Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability

Sun X, Nobel AB.
PMID: 24194673
Bernoulli (Andover). 2013;19(1):275-294. doi: 10.3150/11-bej394.

We investigate the maximal size of distinguished submatrices of a Gaussian random matrix. Of interest are submatrices whose entries have an average greater than or equal to a positive constant, and submatrices whose entries are well fit by a...

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Sun X, Nobel AB. On the maximal size of large-average and ANOVA-fit submatrices in a Gaussian random matrix. Bernoulli (Andover). 2013;19(1):275-294doi: 10.3150/11-bej394.
Sun, X., & Nobel, A. B. (2013). On the maximal size of large-average and ANOVA-fit submatrices in a Gaussian random matrix. Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability, 19(1), 275-294. https://doi.org/10.3150/11-bej394
Sun, Xing, and Nobel, Andrew B. "On the maximal size of large-average and ANOVA-fit submatrices in a Gaussian random matrix." Bernoulli : official journal of the Bernoulli Society for Mathematical Statistics and Probability vol. 19,1 (2013): 275-294. doi: https://doi.org/10.3150/11-bej394
Sun X, Nobel AB. On the maximal size of large-average and ANOVA-fit submatrices in a Gaussian random matrix. Bernoulli (Andover). 2013;19(1):275-294. doi: 10.3150/11-bej394. PMID: 24194673; PMCID: PMC3816128.
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Admixture Mapping of African-American Women in the AMBER Consortium Identifies New Loci for Breast Cancer and Estrogen-Receptor Subtypes.

Frontiers in genetics

Ruiz-Narváez EA, Sucheston-Campbell L, Bensen JT, Yao S, Haddad S, Haiman CA, Bandera EV, John EM, Bernstein L, Hu JJ, Ziegler RG, Deming SL, Olshan AF, Ambrosone CB, Palmer JR, Lunetta KL.
PMID: 27708667
Front Genet. 2016 Sep 21;7:170. doi: 10.3389/fgene.2016.00170. eCollection 2016.

Recent genetic admixture coupled with striking differences in incidence of estrogen receptor (ER) breast cancer subtypes, as well as severity, between women of African and European ancestry, provides an excellent rationale for performing admixture mapping in African American women...

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Ruiz-Narváez EA, Sucheston-Campbell L, Bensen JT, et al. Admixture Mapping of African-American Women in the AMBER Consortium Identifies New Loci for Breast Cancer and Estrogen-Receptor Subtypes. Front Genet. 2016;7:170doi: 10.3389/fgene.2016.00170.
Ruiz-Narváez, E. A., Sucheston-Campbell, L., Bensen, J. T., Yao, S., Haddad, S., Haiman, C. A., Bandera, E. V., John, E. M., Bernstein, L., Hu, J. J., Ziegler, R. G., Deming, S. L., Olshan, A. F., Ambrosone, C. B., Palmer, J. R., & Lunetta, K. L. (2016). Admixture Mapping of African-American Women in the AMBER Consortium Identifies New Loci for Breast Cancer and Estrogen-Receptor Subtypes. Frontiers in genetics, 7170. https://doi.org/10.3389/fgene.2016.00170
Ruiz-Narváez, Edward A, et al. "Admixture Mapping of African-American Women in the AMBER Consortium Identifies New Loci for Breast Cancer and Estrogen-Receptor Subtypes." Frontiers in genetics vol. 7 (2016): 170. doi: https://doi.org/10.3389/fgene.2016.00170
Ruiz-Narváez EA, Sucheston-Campbell L, Bensen JT, Yao S, Haddad S, Haiman CA, Bandera EV, John EM, Bernstein L, Hu JJ, Ziegler RG, Deming SL, Olshan AF, Ambrosone CB, Palmer JR, Lunetta KL. Admixture Mapping of African-American Women in the AMBER Consortium Identifies New Loci for Breast Cancer and Estrogen-Receptor Subtypes. Front Genet. 2016 Sep 21;7:170. doi: 10.3389/fgene.2016.00170. eCollection 2016. PMID: 27708667; PMCID: PMC5030764.
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Weight loss reduces basal-like breast cancer through kinome reprogramming.

Cancer cell international

Qin Y, Sundaram S, Essaid L, Chen X, Miller SM, Yan F, Darr DB, Galanko JA, Montgomery SA, Major MB, Johnson GL, Troester MA, Makowski L.
PMID: 27042159
Cancer Cell Int. 2016 Apr 01;16:26. doi: 10.1186/s12935-016-0300-y. eCollection 2016.

BACKGROUND: Obesity is associated with an aggressive subtype of breast cancer called basal-like breast cancer (BBC). BBC has no targeted therapies, making the need for mechanistic insight urgent. Reducing adiposity in adulthood can lower incidence of BBC in humans....

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Qin Y, Sundaram S, Essaid L, et al. Weight loss reduces basal-like breast cancer through kinome reprogramming. Cancer Cell Int. 2016;16:26doi: 10.1186/s12935-016-0300-y.
Qin, Y., Sundaram, S., Essaid, L., Chen, X., Miller, S. M., Yan, F., Darr, D. B., Galanko, J. A., Montgomery, S. A., Major, M. B., Johnson, G. L., Troester, M. A., & Makowski, L. (2016). Weight loss reduces basal-like breast cancer through kinome reprogramming. Cancer cell international, 1626. https://doi.org/10.1186/s12935-016-0300-y
Qin, Yuanyuan, et al. "Weight loss reduces basal-like breast cancer through kinome reprogramming." Cancer cell international vol. 16 (2016): 26. doi: https://doi.org/10.1186/s12935-016-0300-y
Qin Y, Sundaram S, Essaid L, Chen X, Miller SM, Yan F, Darr DB, Galanko JA, Montgomery SA, Major MB, Johnson GL, Troester MA, Makowski L. Weight loss reduces basal-like breast cancer through kinome reprogramming. Cancer Cell Int. 2016 Apr 01;16:26. doi: 10.1186/s12935-016-0300-y. eCollection 2016. PMID: 27042159; PMCID: PMC4818517.
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Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype.

NPJ breast cancer

Couture HD, Williams LA, Geradts J, Nyante SJ, Butler EN, Marron JS, Perou CM, Troester MA, Niethammer M.
PMID: 30182055
NPJ Breast Cancer. 2018 Sep 03;4:30. doi: 10.1038/s41523-018-0079-1. eCollection 2018.

RNA-based, multi-gene molecular assays are available and widely used for patients with ER-positive/HER2-negative breast cancers. However, RNA-based genomic tests can be costly and are not available in many countries. Methods for inferring molecular subtype from histologic images may identify...

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Couture HD, Williams LA, Geradts J, et al. Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype. NPJ Breast Cancer. 2018;4:30doi: 10.1038/s41523-018-0079-1.
Couture, H. D., Williams, L. A., Geradts, J., Nyante, S. J., Butler, E. N., Marron, J. S., Perou, C. M., Troester, M. A., & Niethammer, M. (2018). Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype. NPJ breast cancer, 430. https://doi.org/10.1038/s41523-018-0079-1
Couture, Heather D, et al. "Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype." NPJ breast cancer vol. 4 (2018): 30. doi: https://doi.org/10.1038/s41523-018-0079-1
Couture HD, Williams LA, Geradts J, Nyante SJ, Butler EN, Marron JS, Perou CM, Troester MA, Niethammer M. Image analysis with deep learning to predict breast cancer grade, ER status, histologic subtype, and intrinsic subtype. NPJ Breast Cancer. 2018 Sep 03;4:30. doi: 10.1038/s41523-018-0079-1. eCollection 2018. PMID: 30182055; PMCID: PMC6120869.
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