Young Changemakers: 17-year-old Elizabeth Chen's Winning Science Project

While her friends were vegging out, Elizabeth Chen was trying to crack the code on how patients with leukaemia respond to CAR T-cell therapy, one of the newest and most promising treatments for blood cancers.

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While her friends were vegging out, Elizabeth Chen was trying to crack the code on how patients with leukaemia respond to CAR T-cell therapy, one of the newest and most promising treatments for blood cancers.

One Saturday night in the spring of 2023, while most of her friends were vegging out, Elizabeth Chen was studying in the basement of her family’s suburban home. She was trying to crack the code on how patients with leukaemia respond to CAR T-cell therapy, one of the newest and most promising treatments for blood cancers.

Believe it or not, it was science-project work. But instead of growing crystals or turning a lemon into a battery, the 11th-grade Edmonton student was trying to find ways to make CAR T-cell therapy more effective. Unlike traditional cancer therapies, CAR T-cell therapy is a more personalized approach that involves tweaking a patient’s own immune cells to fight cancer. While it has a lot of promise, the failure rate can be high, depending on factors such as the type of cancer.

Elizabeth was drawn to cancer research for several reasons: She came across a fundraising campaign for another Albertan girl, nicknamed Penn the Brave, who was diagnosed with brain cancer at age three. And when Elizabeth was younger, her grandmother had breast cancer.

So when Elizabeth was looking for a science-project topic and her father emailed her a news article about CAR T-cell therapy, a cutting-edge treatment that still isn’t well enough understood, she threw herself into finding out as much as she could.

She started with open-access data from a 2022 University of Pennsylvania and Yale University joint study examining one of the most common childhood cancers: acute lymphoblastic leukaemia. The study collected data to explain what causes resistance to CAR T-cell treatment, leading to relapse, and Elizabeth used that data to try to identify genetic biomarkers that would accurately predict a patient’s response to the treatment in order to make it more effective.

Elizabeth also found a way to analyze the patient data using specialized computer programmes rather than a lab. Some of that work involved uploading...

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