University of California San Francisco
Helen Diller Family Comprehensive Cancer Center
Nola M. Hylton, PhD

Nola M. Hylton, PhD

Professor in Residence, Department of Radiology; and Leader, Breast Imaging Research Group, UCSF

Cancer Center Program Memberships

Breast Oncology

Research Summary

I am an imaging scientist and breast cancer researcher with broad experience in the area of biomedical research. Work in my laboratory focuses on the development of MRI techniques for breast cancer diagnosis and treatment response assessment. My laboratory works closely with a multi-disciplinary team of radiologists, surgeons, oncologists, basic science researchers and advocates to optimize MRI methods for the clinical management of breast cancer patients. The overall goal of our interdisciplinary research program is to develop imaging-based biomarkers that can be used in combination with clinical and molecular information to individualize treatment strategies.

I lead as Principal Investigator, the multi-center ACRIN trials 6657 and 6698, evaluating dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) MRI respectively, for assessing treatment response as part of the ISPY-1 and ISPY-2 neoadjuvant breast cancer trials. Under an NCI Academic-Industrial Partnership (AIP) grant with commercial partner Hologic, Inc., (R01 CA132870), my laboratory developed and deployed a software platform for real-time measurement of breast tumor response using DCE-MRI, for use in clinical trials. The Hologic software received FDA IDE approval in 2010 and is now incorporated in the response-adaptive patient randomization engine of ISPY-2. Under prior funding from the NCI Quantitative Imaging Network (QIN) (U01 CA151235), my laboratory led efforts to improve the integration of quantitative imaging (QI) in breast cancer clinical trials through the development of standards and quality control processes and improved diffusion-weighted MRI approaches for tumor response measurement.

As an applied scientist involved in the early development of breast MRI, I believe I bring a unique perspective and appreciation of the factors that drive and shape the development of new breast imaging technologies. I have served on and chaired numerous grant review panels in both the areas of medical imaging and breast cancer research.

I am an active educator and faculty member at UCSF and in the UCSF/UC Berkeley Bioengineering Graduate Program and I teach formally in the UCSF Master’s in Biomedical Imaging degree program. I have been involved in the training and research supervision of graduate students, post-doctoral fellows and junior faculty for over 20 years.

Education

Massachusetts Institute of Technology (M.I.T.), B.S., 1979, Chemical Engineering
Stanford University, Ph.D., 1985, Applied Physics

Honors & Awards

  • 2010
    Komen Scholar, Komen for the Cure
  • 2013
    Distinguished Lectureship Award, Sigma Xi
  • 2013
    Distinguished Investigator Award, Academy of Radiology Research
  • 2017
    Fellow, International Society of Magnetic Resonance in Medicine

Selected Publications

  1. Yee D, DeMichele AM, Yau C, Isaacs C, Symmans WF, Albain KS, Chen YY, Krings G, Wei S, Harada S, Datnow B, Fadare O, Klein M, Pambuccian S, Chen B, Adamson K, Sams S, Mhawech-Fauceglia P, Magliocco A, Feldman M, Rendi M, Sattar H, Zeck J, Ocal IT, Tawfik O, LeBeau LG, Sahoo S, Vinh T, Chien AJ, Forero-Torres A, Stringer-Reasor E, Wallace AM, Pusztai L, Boughey JC, Ellis ED, Elias AD, Lu J, Lang JE, Han HS, Clark AS, Nanda R, Northfelt DW, Khan QJ, Viscusi RK, Euhus DM, Edmiston KK, Chui SY, Kemmer K, Park JW, Liu MC, Olopade O, Leyland-Jones B, Tripathy D, Moulder SL, Rugo HS, Schwab R, Lo S, Helsten T, Beckwith H, Haugen P, Hylton NM, Van't Veer LJ, Perlmutter J, Melisko ME, Wilson A, Peterson G, Asare AL, Buxton MB, Paoloni M, Clennell JL, Hirst GL, Singhrao R, Steeg K, Matthews JB, Asare SM, Sanil A, Berry SM, Esserman LJ, Berry DA. Association of Event-Free and Distant Recurrence-Free Survival With Individual-Level Pathologic Complete Response in Neoadjuvant Treatment of Stages 2 and 3 Breast Cancer: Three-Year Follow-up Analysis for the I-SPY2 Adaptively Randomized Clinical Trial. JAMA Oncol. 2020 Jul 23.
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  2. Arasu VA, Kim P, Li W, Strand F, McHargue C, Harnish R, Newitt DC, Jones EF, Glymour MM, Kornak J, Esserman LJ, Hylton NM. Predictive Value of Breast MRI Background Parenchymal Enhancement for Neoadjuvant Treatment Response among HER2- Patients. J Breast Imaging. 2020 Aug; 2(4):352-360.
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  3. Tan ET, Wilmes LJ, Joe BN, Onishi N, Arasu VA, Hylton NM, Marinelli L, Newitt DC. Denoising and Multiple Tissue Compartment Visualization of Multi-b-Valued Breast Diffusion MRI. J Magn Reson Imaging. 2020 Jul 02; e27268.
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  4. Jones EF, Hathi DK, Freimanis R, Mukhtar RA, Chien AJ, Esserman LJ, Van't Veer LJ, Joe BN, Hylton NM. Current Landscape of Breast Cancer Imaging and Potential Quantitative Imaging Markers of Response in ER-Positive Breast Cancers Treated with Neoadjuvant Therapy. Cancers (Basel). 2020 Jun 09; 12(6).
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  5. Nguyen AA, Arasu VA, Strand F, Li W, Onishi N, Gibbs J, Jones EF, Joe BN, Esserman LJ, Newitt DC, Hylton NM. Comparison of Segmentation Methods in Assessing Background Parenchymal Enhancement as a Biomarker for Response to Neoadjuvant Therapy. Tomography. 2020 06; 6(2):101-110.
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  6. Onishi N, Li W, Gibbs J, Wilmes LJ, Nguyen A, Jones EF, Arasu V, Kornak J, Joe BN, Esserman LJ, Newitt DC, Hylton NM. Impact of MRI Protocol Adherence on Prediction of Pathological Complete Response in the I-SPY 2 Neoadjuvant Breast Cancer Trial. Tomography. 2020 06; 6(2):77-85.
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  7. Newitt DC, Amouzandeh G, Partridge SC, Marques HS, Herman BA, Ross BD, Hylton NM, Chenevert TL, Malyarenko DI. Repeatability and Reproducibility of ADC Histogram Metrics from the ACRIN 6698 Breast Cancer Therapy Response Trial. Tomography. 2020 06; 6(2):177-185.
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  8. Malyarenko DI, Newitt DC, Amouzandeh G, Wilmes LJ, Tan ET, Marinelli L, Devaraj A, Peeters JM, Giri S, Vom Endt A, Hylton NM, Partridge SC, Chenevert TL. Retrospective Correction of ADC for Gradient Nonlinearity Errors in Multicenter Breast DWI Trials: ACRIN6698 Multiplatform Feasibility Study. Tomography. 2020 06; 6(2):86-92.
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  9. Li W, Newitt DC, Yun B, Jones EF, Arasu V, Wilmes LJ, Gibbs J, Nguyen AA, Onishi N, Kornak J, Joe BN, Esserman LJ, Hylton NM. Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer. Tomography. 2020 06; 6(2):216-222.
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  10. Hwang ES, Hyslop T, Hendrix LH, Duong S, Bedrosian I, Price E, Caudle A, Hieken T, Guenther J, Hudis CA, Winer E, Lyss AP, Dickson-Witmer D, Hoefer R, Ollila DW, Hardman T, Marks J, Chen YY, Krings G, Esserman L, Hylton N. Phase II Single-Arm Study of Preoperative Letrozole for Estrogen Receptor-Positive Postmenopausal Ductal Carcinoma In Situ: CALGB 40903 (Alliance). J Clin Oncol. 2020 Apr 20; 38(12):1284-1292.
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  11. Nanda R, Liu MC, Yau C, Shatsky R, Pusztai L, Wallace A, Chien AJ, Forero-Torres A, Ellis E, Han H, Clark A, Albain K, Boughey JC, Jaskowiak NT, Elias A, Isaacs C, Kemmer K, Helsten T, Majure M, Stringer-Reasor E, Parker C, Lee MC, Haddad T, Cohen RN, Asare S, Wilson A, Hirst GL, Singhrao R, Steeg K, Asare A, Matthews JB, Berry S, Sanil A, Schwab R, Symmans WF, van 't Veer L, Yee D, DeMichele A, Hylton NM, Melisko M, Perlmutter J, Rugo HS, Berry DA, Esserman LJ. Effect of Pembrolizumab Plus Neoadjuvant Chemotherapy on Pathologic Complete Response in Women With Early-Stage Breast Cancer: An Analysis of the Ongoing Phase 2 Adaptively Randomized I-SPY2 Trial. JAMA Oncol. 2020 Feb 13.
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  12. Houghton LC, Jung S, Troisi R, LeBlanc ES, Snetselaar LG, Hylton NM, Klifa C, Van Horn L, Paris K, Shepherd JA, Hoover RN, Dorgan JF. Pubertal timing and breast density in young women: a prospective cohort study. Breast Cancer Res. 2019 11 14; 21(1):122.
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  13. Jahani N, Cohen E, Hsieh MK, Weinstein SP, Pantalone L, Hylton N, Newitt D, Davatzikos C, Kontos D. Prediction of Treatment Response to Neoadjuvant Chemotherapy for Breast Cancer via Early Changes in Tumor Heterogeneity Captured by DCE-MRI Registration. Sci Rep. 2019 08 20; 9(1):12114.
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  14. Li W, Newitt DC, Wilmes LJ, Jones EF, Arasu V, Gibbs J, La Yun B, Li E, Partridge SC, Kornak J, Esserman LJ, Hylton NM. Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL. J Magn Reson Imaging. 2019 12; 50(6):1742-1753.
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  15. Jones EF, Ray KM, Li W, Chien AJ, Mukhtar RA, Esserman LJ, Franc BL, Seo Y, Pampaloni MH, Joe BN, Hylton NM. Initial experience of dedicated breast PET imaging of ER+ breast cancers using [F-18]fluoroestradiol. NPJ Breast Cancer. 2019; 5:12.
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  16. Partridge SC, Newitt DC, Chenevert TL, Rosen MA, Hylton NM. Diffusion-weighted MRI in Multicenter Trials of Breast Cancer. Radiology. 2019 05; 291(2):546.
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  17. Chien AJ, Tripathy D, Albain KS, Symmans WF, Rugo HS, Melisko ME, Wallace AM, Schwab R, Helsten T, Forero-Torres A, Stringer-Reasor E, Ellis ED, Kaplan HG, Nanda R, Jaskowiak N, Murthy R, Godellas C, Boughey JC, Elias AD, Haley BB, Kemmer K, Isaacs C, Clark AS, Lang JE, Lu J, Korde L, Edmiston KK, Northfelt DW, Viscusi RK, Yee D, Perlmutter J, Hylton NM, Van't Veer LJ, DeMichele A, Wilson A, Peterson G, Buxton MB, Paoloni M, Clennell J, Berry S, Matthews JB, Steeg K, Singhrao R, Hirst GL, Sanil A, Yau C, Asare SM, Berry DA, Esserman LJ. MK-2206 and Standard Neoadjuvant Chemotherapy Improves Response in Patients With Human Epidermal Growth Factor Receptor 2-Positive and/or Hormone Receptor-Negative Breast Cancers in the I-SPY 2 Trial. J Clin Oncol. 2020 Apr 01; 38(10):1059-1069.
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  18. Newitt DC, Zhang Z, Gibbs JE, Partridge SC, Chenevert TL, Rosen MA, Bolan PJ, Marques HS, Aliu S, Li W, Cimino L, Joe BN, Umphrey H, Ojeda-Fournier H, Dogan B, Oh K, Abe H, Drukteinis J, Esserman LJ, Hylton NM. Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial. J Magn Reson Imaging. 2019 06; 49(6):1617-1628.
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  19. Cochran JM, Busch DR, Leproux A, Zhang Z, O'Sullivan TD, Cerussi AE, Carpenter PM, Mehta RS, Roblyer D, Yang W, Paulsen KD, Pogue B, Jiang S, Kaufman PA, Chung SH, Schnall M, Snyder BS, Hylton N, Carp SA, Isakoff SJ, Mankoff D, Tromberg BJ, Yodh AG. Tissue oxygen saturation predicts response to breast cancer neoadjuvant chemotherapy within 10 days of treatment. J Biomed Opt. 2018 10; 24(2):1-11.
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  20. Partridge SC, Zhang Z, Newitt DC, Gibbs JE, Chenevert TL, Rosen MA, Bolan PJ, Marques HS, Romanoff J, Cimino L, Joe BN, Umphrey HR, Ojeda-Fournier H, Dogan B, Oh K, Abe H, Drukteinis JS, Esserman LJ, Hylton NM. Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial. Radiology. 2018 12; 289(3):618-627.
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