He Beat Lymphoma at 31, While Pioneering Breakthroughs in Cancer Research
It looked like only good things were ahead of Taylor Schreiber in 2010.
Schreiber had just finished his PhD in cancer biology and was preparing to return to medical school to complete his degree. He also had been married a year, and, like any young newlyweds up for adventure, he and his wife Nicki decided to go backpacking in the Costa Rican rainforest.
He was 31, and it was April Fool's Day—but no joke.
During the trip, he experienced a series of night sweats and didn't think too much about it. Schreiber hadn't been feeling right for a few weeks and assumed he had a respiratory infection. Besides, they were sleeping outdoors in a hot, tropical jungle.
But the night sweats continued even after he got home, leaving his mattress so soaked in the morning it was if a bucket of water had been dumped on him overnight. On instinct, he called one of his thesis advisors at the Sylvester Comprehensive Cancer Center in Florida and described his symptoms.
Dr. Joseph Rosenblatt didn't hesitate. "It sounds like Hodgkins. Come see me tomorrow," he said.
The next day, Schreiber was diagnosed with Stage 3b Hodgkin Lymphoma, which meant the disease was advanced. He was 31, and it was April Fool's Day—but no joke.
"I was scared to death," he recalls. "[Thank] goodness it's one of those cancers that is highly treatable. But being 31 years old and all of a sudden being told that you have a 30 percent of mortality within the next two years wasn't anything that I was relieved about."
For Schreiber, the diagnosis was a personal and professional game-changer. He couldn't work in the hospital as a medical student while undergoing chemotherapy, so he wound up remaining in his post-doctorate lab for another two years. The experience also solidified his decision to apply his scientific and medical knowledge to drug development.
Today, now 39, Schreiber is co-founder, director and chief scientific officer of Shattuck Labs, an immuno-oncology startup, and the developer of several important research breakthroughs in the field of immunotherapy.
After his diagnosis, he continued working full-time as a postdoc, while undergoing an aggressive chemotherapy regimen.
"These days, I look back on [my cancer] and think it was one of the luckiest things that ever happened to me," he says. "In medical school, you learn what it is to treat people and learn about the disease. But there is nothing like being a patient to teach you another side of medicine."
Medicine first called to Schreiber when his maternal grandfather was dying from lung cancer complications. Schreiber's uncle, a radiologist at the medical center where his grandfather was being treated, took him on a tour of his department and showed him images of the insides of his body on an ultrasound machine.
Schreiber was mesmerized. His mother was a teacher and his dad sold windows, so medicine was not something to which he had been routinely exposed.
"This weird device was like looking through jelly, and I thought that was the coolest thing ever," he says.
The experience led him to his first real job at the Catholic Medical Center in Manchester, NH, then to a semester-long internship program during his senior year in high school in Concord Hospital's radiology department.
"This was a great experience, but it also made clear that there was not any meaningful way to learn or contribute to medicine before you obtained a medical degree," says Schreiber, who enrolled in Bucknell College to study biology.
Bench science appealed to him, and he volunteered in Dr. Jing Zhou's nephrology department lab at the Harvard Institutes of Medicine. Under the mentorship of one of her post-docs, Lei Guo, he learned a range of critical techniques in molecular biology, leading to their discovery of a new gene related to human polycystic kidney disease and his first published paper.
Before his cancer diagnosis, Schreiber also volunteered in the lab of Dr. Robert "Doc" Sackstein, a world-renowned bone marrow transplant physician and biomedical researcher, and his interests began to shift towards immunology.
"He was just one of those dynamic people who has a real knack for teaching, first of all, and for inspiring people to want to learn more and ask hard questions and understand experimental medicine," Schreiber says.
It was there that he learned the scientific method and the importance of incorporating the right controls in experiments—a simple idea, but difficult to perform well. He also made what Sackstein calls "a startling discovery" about chemokines, which are signaling proteins that can activate an immune response.
As immune cells travel around our bodies looking for potential sources of infection or disease, they latch onto blood vessel walls and "sniff around" for specific chemical cues that indicate a source of infection. Schreiber and his colleagues designed a system that mimics the blood vessel wall, allowing them to define which chemical cues efficiently drive immune cell migration from the blood into tissues.
Schreiber received the best overall research award in 2008 from the National Student Research Foundation. But even as Schreiber's expertise about immunology grew, his own immune system was about to fight its hardest battle.
After his diagnosis, he continued working full-time as a postdoc in the lab of Eckhard Podack, then chair of the microbiology and immunology department at the University of Miami's Leonard M. Miller School of Medicine.
At the same time, Schreiber began an aggressive intravenous chemotherapy regimen of adriamycin, bleomycin, vincristine and dacarbazine, every two weeks, for 6 months. His wife Nicki, an obgyn, transferred her residency from Emory University in Atlanta to Miami so they could be together.
"It was a weird period. I mean, it made me feel good to keep doing things and not just lay idle," he said. "But by the second cycle of chemo, I was immunosuppressed and losing my hair and wore a face mask walking around the lab, which I was certainly self-conscious. But everyone around me didn't make me feel like an alien so I just went about my business."
The experience reinforced his desire to stay in immunology, especially after having taken the most toxic chemotherapies.
He stayed home the day after chemo when he felt his worst, then rested his body and timed exercise to give the drugs the best shot of targeting sick cells (a strategy, he says, that "could have been voodoo"). He also drank "an incredible" amount of fluids to help flush the toxins out of his system.
Side effects of the chemo, besides hair loss, included intense nausea, diarrhea, a loss of appetite, some severe lung toxicities that eventually resolved, and incredible fatigue.
"I've always been a runner, and I would even try to run while I was doing chemo," he said. "After I finished treatment, I would go literally 150 yards and just have to stop, and it took a lot of effort to work through it."
The experience reinforced his desire to stay in immunology, especially after having taken the most toxic chemotherapies.
"They worked, and I could tolerate them because I was young, but people who are older can't," Schreiber said. "The whole field of immunotherapy has really demonstrated that there are effective therapies out there that don't come with all of the same toxicities as the original chemo, so it was galvanizing to imagine contributing to finding some of those."
Schreiber went on to complete his MD and PhD degrees from the Sheila and David Fuente Program in Cancer Biology at the Miller School of Medicine and was nominated in 2011 as a Future Leader in Cancer Research by the American Association for Cancer Research. He also has numerous publications in the fields of tumor immunology and immunotherapy.
Sackstein, who was struck by Schreiber's enthusiasm and "boundless energy," predicts he will be a "major player in the world of therapeutics."
"The future for Taylor is amazing because he has the capacity to synthesize current knowledge and understand the gaps and then ask the right questions to establish new paradigms," said Sackstein, currently dean of the Herbert Wertheim College of Medicine at Florida International University. "It's a very unusual talent."
Since then, he has devoted his career to developing innovative techniques aimed at unleashing the immune system to attack cancer with less toxicity than chemotherapy and better clinical results—first, at a company called Heat Biologics and then at Pelican Therapeutics.
His primary work at Austin, Texas-based Shattuck is aimed at combining two functions in a single therapy for cancer and inflammatory diseases, blocking molecules that put a brake on the immune system (checkpoint inhibitors) while also stimulating the immune system's cancer-killing T cells.
The company has one drug in clinical testing as part of its Agonist Redirected Checkpoint (ARC) platform, which represents a new class of biological medicine. Two others are expected within the next year, with a pipeline of more than 250 drug candidates spanning cancer, inflammatory, and metabolic diseases.
Nine years after his own cancer diagnosis, Schreiber says it remains a huge part of his life, though his chances of a cancer recurrence today are about the same as his chances of getting newly diagnosed with any other cancer.
"I feel blessed to be in a position to help cancer patients live longer and could not imagine a more fulfilling way to spend my life," he says.
A new type of cancer therapy is shrinking deadly brain tumors with just one treatment
Few cancers are deadlier than glioblastomas—aggressive and lethal tumors that originate in the brain or spinal cord. Five years after diagnosis, less than five percent of glioblastoma patients are still alive—and more often, glioblastoma patients live just 14 months on average after receiving a diagnosis.
But an ongoing clinical trial at Mass General Cancer Center is giving new hope to glioblastoma patients and their families. The trial, called INCIPIENT, is meant to evaluate the effects of a special type of immune cell, called CAR-T cells, on patients with recurrent glioblastoma.
How CAR-T cell therapy works
CAR-T cell therapy is a type of cancer treatment called immunotherapy, where doctors modify a patient’s own immune system specifically to find and destroy cancer cells. In CAR-T cell therapy, doctors extract the patient’s T-cells, which are immune system cells that help fight off disease—particularly cancer. These T-cells are harvested from the patient and then genetically modified in a lab to produce proteins on their surface called chimeric antigen receptors (thus becoming CAR-T cells), which makes them able to bind to a specific protein on the patient’s cancer cells. Once modified, these CAR-T cells are grown in the lab for several weeks so that they can multiply into an army of millions. When enough cells have been grown, these super-charged T-cells are infused back into the patient where they can then seek out cancer cells, bind to them, and destroy them. CAR-T cell therapies have been approved by the US Food and Drug Administration (FDA) to treat certain types of lymphomas and leukemias, as well as multiple myeloma, but haven’t been approved to treat glioblastomas—yet.
CAR-T cell therapies don’t always work against solid tumors, such as glioblastomas. Because solid tumors contain different kinds of cancer cells, some cells can evade the immune system’s detection even after CAR-T cell therapy, according to a press release from Massachusetts General Hospital. For the INCIPIENT trial, researchers modified the CAR-T cells even further in hopes of making them more effective against solid tumors. These second-generation CAR-T cells (called CARv3-TEAM-E T cells) contain special antibodies that attack EFGR, a protein expressed in the majority of glioblastoma tumors. Unlike other CAR-T cell therapies, these particular CAR-T cells were designed to be directly injected into the patient’s brain.
The INCIPIENT trial results
The INCIPIENT trial involved three patients who were enrolled in the study between March and July 2023. All three patients—a 72-year-old man, a 74-year-old man, and a 57-year-old woman—were treated with chemo and radiation and enrolled in the trial with CAR-T cells after their glioblastoma tumors came back.
The results, which were published earlier this year in the New England Journal of Medicine (NEJM), were called “rapid” and “dramatic” by doctors involved in the trial. After just a single infusion of the CAR-T cells, each patient experienced a significant reduction in their tumor sizes. Just two days after receiving the infusion, the glioblastoma tumor of the 72-year-old man decreased by nearly twenty percent. Just two months later the tumor had shrunk by an astonishing 60 percent, and the change was maintained for more than six months. The most dramatic result was in the 57-year-old female patient, whose tumor shrank nearly completely after just one infusion of the CAR-T cells.
The results of the INCIPIENT trial were unexpected and astonishing—but unfortunately, they were also temporary. For all three patients, the tumors eventually began to grow back regardless of the CAR-T cell infusions. According to the press release from MGH, the medical team is now considering treating each patient with multiple infusions or prefacing each treatment with chemotherapy to prolong the response.
While there is still “more to do,” says co-author of the study neuro-oncologist Dr. Elizabeth Gerstner, the results are still promising. If nothing else, these second-generation CAR-T cell infusions may someday be able to give patients more time than traditional treatments would allow.
“These results are exciting but they are also just the beginning,” says Dr. Marcela Maus, a doctor and professor of medicine at Mass General who was involved in the clinical trial. “They tell us that we are on the right track in pursuing a therapy that has the potential to change the outlook for this intractable disease.”
Since the early 2000s, AI systems have eliminated more than 1.7 million jobs, and that number will only increase as AI improves. Some research estimates that by 2025, AI will eliminate more than 85 million jobs.
But for all the talk about job security, AI is also proving to be a powerful tool in healthcare—specifically, cancer detection. One recently published study has shown that, remarkably, artificial intelligence was able to detect 20 percent more cancers in imaging scans than radiologists alone.
Published in The Lancet Oncology, the study analyzed the scans of 80,000 Swedish women with a moderate hereditary risk of breast cancer who had undergone a mammogram between April 2021 and July 2022. Half of these scans were read by AI and then a radiologist to double-check the findings. The second group of scans was read by two researchers without the help of AI. (Currently, the standard of care across Europe is to have two radiologists analyze a scan before diagnosing a patient with breast cancer.)
The study showed that the AI group detected cancer in 6 out of every 1,000 scans, while the radiologists detected cancer in 5 per 1,000 scans. In other words, AI found 20 percent more cancers than the highly-trained radiologists.
Scientists have been using MRI images (like the ones pictured here) to train artificial intelligence to detect cancers earlier and with more accuracy. Here, MIT's AI system, MIRAI, looks for patterns in a patient's mammograms to detect breast cancer earlier than ever before. news.mit.edu
But even though the AI was better able to pinpoint cancer on an image, it doesn’t mean radiologists will soon be out of a job. Dr. Laura Heacock, a breast radiologist at NYU, said in an interview with CNN that radiologists do much more than simply screening mammograms, and that even well-trained technology can make errors. “These tools work best when paired with highly-trained radiologists who make the final call on your mammogram. Think of it as a tool like a stethoscope for a cardiologist.”
AI is still an emerging technology, but more and more doctors are using them to detect different cancers. For example, researchers at MIT have developed a program called MIRAI, which looks at patterns in patient mammograms across a series of scans and uses an algorithm to model a patient's risk of developing breast cancer over time. The program was "trained" with more than 200,000 breast imaging scans from Massachusetts General Hospital and has been tested on over 100,000 women in different hospitals across the world. According to MIT, MIRAI "has been shown to be more accurate in predicting the risk for developing breast cancer in the short term (over a 3-year period) compared to traditional tools." It has also been able to detect breast cancer up to five years before a patient receives a diagnosis.
The challenges for cancer-detecting AI tools now is not just accuracy. AI tools are also being challenged to perform consistently well across different ages, races, and breast density profiles, particularly given the increased risks that different women face. For example, Black women are 42 percent more likely than white women to die from breast cancer, despite having nearly the same rates of breast cancer as white women. Recently, an FDA-approved AI device for screening breast cancer has come under fire for wrongly detecting cancer in Black patients significantly more often than white patients.
As AI technology improves, radiologists will be able to accurately scan a more diverse set of patients at a larger volume than ever before, potentially saving more lives than ever.