# Marc Daniel Ryser

- Assistant Professor in Population Health Sciences
- Instructor in the Department of Mathematics (Joint)
- Assistant Professor of Mathematics (Joint)
- Member of the Duke Cancer Institute

**External address:**299B Physics Bldg, 120 Science Drive, Durham, NC 27708

**Internal office address:**Box 90320, Durham, NC 27708

**Phone:**(919) 684-8294

### Research Areas and Keywords

##### Biological Modeling

##### Computational Mathematics

##### PDE & Dynamical Systems

##### Probability

For an up-to-date description of my research program please visit

Areas of Expertise: Multi-scale modeling, early carcinogenesis, cancer evolution

### Selected Grants

The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk awarded by National Institutes of Health (Principal Investigator). 2018 to 2021

The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk awarded by National Institutes of Health (Principal Investigator). 2018 to 2021

Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort awarded by (Co Investigator). 2019 to 2020

Mathematical Analysis of Spatial Cancer Models awarded by National Science Foundation (Co-Principal Investigator). 2016 to 2020

Molecular and Radiologic Predictors of Invasion in a DCIS Active Surveillance Cohort awarded by (Co Investigator). 2018 to 2019

The Mathematics of Breast Cancer Overtreatment: Improving Treatment Choice through Effective Communication of Personalized Cancer Risk awarded by National Institutes of Health (Principal Investigator). 2016 to 2018

Ryser, Marc D., et al. “Cancer Outcomes in DCIS Patients Without Locoregional Treatment..” *J Natl Cancer Inst*, vol. 111, no. 9, Sept. 2019, pp. 952–60. *Pubmed*, doi:10.1093/jnci/djy220.
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Ryser, Marc D., et al. “Incidence of Ductal Carcinoma In Situ in the United States, 2000-2014..” *Cancer Epidemiol Biomarkers Prev*, vol. 28, no. 8, Aug. 2019, pp. 1316–23. *Pubmed*, doi:10.1158/1055-9965.EPI-18-1262.
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Grimm, Lars J., et al. “Growth Dynamics of Mammographic Calcifications: Differentiating Ductal Carcinoma in Situ from Benign Breast Disease..” *Radiology*, vol. 292, no. 1, July 2019, pp. 77–83. *Pubmed*, doi:10.1148/radiol.2019182599.
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Shen, Yu, et al. “Estimating the frequency of indolent breast cancer in screening trials..” *Stat Methods Med Res*, vol. 28, no. 4, Apr. 2019, pp. 1261–71. *Pubmed*, doi:10.1177/0962280217754232.
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Ryser, Marc D., et al. “Identification of the Fraction of Indolent Tumors and Associated Overdiagnosis in Breast Cancer Screening Trials..” *Am J Epidemiol*, vol. 188, no. 1, Jan. 2019, pp. 197–205. *Pubmed*, doi:10.1093/aje/kwy214.
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Ryser, Marc D., et al. “Epigenetic Heterogeneity in Human Colorectal Tumors Reveals Preferential Conservation And Evidence of Immune Surveillance..” *Sci Rep*, vol. 8, no. 1, Nov. 2018. *Pubmed*, doi:10.1038/s41598-018-35621-y.
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Ryser, Marc D., et al. “Spatial mutation patterns as markers of early colorectal tumor cell mobility..” *Proc Natl Acad Sci U S A*, vol. 115, no. 22, May 2018, pp. 5774–79. *Pubmed*, doi:10.1073/pnas.1716552115.
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Grimm, Lars J., et al. “Role of Preoperative Variables in Reducing the Rate of Occult Invasive Disease for Women Considering Active Surveillance for Ductal Carcinoma In Situ..” *Jama Surg*, vol. 153, no. 3, Mar. 2018, pp. 290–91. *Pubmed*, doi:10.1001/jamasurg.2017.5566.
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Ryser, Marc D., et al. “How Low Can We Go-and Should We? Risk Reduction for Minimal-Volume DCIS..” *Ann Surg Oncol*, vol. 25, no. 2, Feb. 2018, pp. 354–55. *Pubmed*, doi:10.1245/s10434-017-6128-4.
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Grimm, Lars J., et al. “Surgical Upstaging Rates for Vacuum Assisted Biopsy Proven DCIS: Implications for Active Surveillance Trials..” *Ann Surg Oncol*, vol. 24, no. 12, Nov. 2017, pp. 3534–40. *Pubmed*, doi:10.1245/s10434-017-6018-9.
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## Pages

Shira at the Algebraic CombinatoriXX II workshop at BIRS last summer Shira Viel I received my PhD from North Carolina State University under the direction of Nathan Reading. My thesis work was in algebraic and geometric combinatorics with a focus... read more »

In cancer treatment, metastatic tumors receive equal treatment. Patients are given the same aggressive therapies when abnormal clusters of cells are discovered early, even if they may be harmless. In research studies co-led by Duke's Marc Ryser... read more »

Kevin Murgas (Biomedical Engineering, Class 2017), started working on this project during a Research Experience for Undergraduates (REU) program in mathematical biology in the summer of 2015. Together with his research mentor, Dr. Marc Ryser, they... read more »

A mathematical model from Duke University mathematicians suggests more can be done to protect people from the human papilloma virus. HPV is associated with cervical cancer in women, but can also cause various cancers in men. Duke mathematician... read more »

Active surveillance could be a viable alternative to surgery and radiation for select patients with ductal carcinoma in situ, or DCIS, according to a mathematical model developed by researchers at Duke University.... read more »