Newswise — Rensselaer Polytechnic Institute Professor of Computer Science, Cognitive Science, and Industrial and Systems Engineering Deborah McGuinness was diagnosed with breast cancer nearly 10 years ago. Her treatments were emotionally and physically challenging: McGuinness endured six months of chemotherapy, 33 radiation treatments, and four surgeries before emerging with current “no evidence of disease” status. Throughout, McGuinness struggled to find appropriate information on her diagnosis and treatment.

“It was hard to find information on my diagnosis that a lay person could understand,” said McGuinness. “There was also a lack of evidence-based, personalized advice.”

McGuinness got to work. With the help of her colleagues at Rensselaer, she devised a platform for breast cancer patients to visualize their tests and treatment based on ever-evolving staging criteria. Patients can input the size of their tumor, the number of lymph nodes affected, if the tumor has metastasized, and their biomarkers to see what the recommended course of action is and how it may vary with different criteria and staging guidelines.

McGuinness did not stop there. Another challenge she faced after being diagnosed was understanding the detailed implications of having a rare CHEK2 mutation.

“I tried to wade through the literature, but it was difficult,” said McGuinness. “I even got friends to help me who had Ph.D.s in biology and other relevant areas, but it was still a challenge. I wanted to help myself and others diagnosed with the same mutation.”

To that end, McGuinness contributed to research published recently in JAMA Oncology.

“I had an unusual mutation on the CHEK2 gene,” said McGuinness. “The common mutation is what is in the literature, but did that literature apply to me? The research (in JAMA Oncology) found that other function-blocking mutations do indeed behave the same as the common mutation. Now, doctors have more evidence to support that results of other studies on function-blocking mutations on CHEK2 apply to my mutation.”

McGuinness had a breast cancer that responded very well to a targeted therapy, which she credits with saving her life. She also believes that advances in personalized medicine contributed to a better outcome in her case. This has motivated McGuinness to try to use her professional skills and expertise to help advance personalized medicine.

Targeted therapies and precision (or personalized) medicine are top objectives of Rensselaer’s recently-launched, New York City-based, Center for Engineering and Precision Medicine (CEPM), a joint center with the Icahn School of Medicine at Mount Sinai.

“The data science research carried out by McGuinness in collaboration with clinicians represents a powerful example of how advanced science and engineering is helping to reshape the future of medicine,” said Jonathan S. Dordick, Institute Professor of Chemical and Biological Engineering at Rensselaer and co-Director of the CEPM.

Although McGuinness takes pride in helping fellow patients with her professional expertise, the greatest reward has been personal.

“It means a lot to me to be a spokesperson for breast cancer patients,” said McGuinness. “I have been very open about my cancer journey and a number of people have mentioned that it has helped them.”


About Rensselaer Polytechnic Institute

Founded in 1824, Rensselaer Polytechnic Institute is America’s first technological research university. Rensselaer encompasses five schools, over 30 research centers, more than 140 academic programs including 25 new programs, and a dynamic community made up of over 6,800 students and 104,000 living alumni. Rensselaer faculty and alumni include upwards of 155 National Academy members, six members of the National Inventors Hall of Fame, six National Medal of Technology winners, five National Medal of Science winners, and a Nobel Prize winner in Physics. With nearly 200 years of experience advancing scientific and technological knowledge, Rensselaer remains focused on addressing global challenges with a spirit of ingenuity and collaboration. To learn more, please visit




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Other Link: Knowledge Integration for Breast Cancer Characterization Journal Link: JAMA Oncology