COVID-19 Could Brighten the Public Spotlight on Biotech—and Accelerate Progress
Since March, 35 patients in the care of Dr. Gregory Jicha, a neurologist at the University of Kentucky, have died of Alzheimer's disease or related dementia.
Meanwhile, with 233 active clinical trials underway to find treatments, Jicha wonders why mainstream media outlets don't do more to highlight potential solutions to the physical, emotional and economic devastation of these diseases. "Unfortunately, it's not until we're right at the cusp of a major discovery that anybody pays attention to these very promising agents," he says.
Heightened awareness would bring more resources for faster progress, according to Jicha. Otherwise, he's concerned that current research pipelines will take over a decade.
In recent years, newspapers with national readerships have devoted more technology reporting to key developments in social media, artificial intelligence, wired gadgets and telecom. Less prominent has been news about biotech—innovations based on biology research—and new medicines emerging from this technology. That's the impression of Jicha as well as Craig Lipset, former head of clinical innovation at Pfizer. "Scientists and clinicians are entirely invested [in biotech], yet no one talks about their discoveries," he says.
With the popular press rightly focusing on progress with a vaccine for COVID-19 this year, notable developments in biomarkers, Alzheimer's and cancer research, gene therapies for cystic fibrosis, and therapeutics related to biological age may be going unreported. Jennifer Goldsack, Executive Director of the nonprofit Digital Medicine Society, is confused over the media's soft touch with biotech. "I'm genuinely interested in understanding what editors of technology sections think the public wants to be reading."
The Numbers on Media Coverage
A newspaper's health section is a sensible fit for biotech reporting. In 2020, these departments have concentrated largely on COVID-19—as they should—while sections on technology and science don't necessarily pick up on other biotech news. Emily Mullin, staff writer for the tech magazine OneZero, has observed a gap in newspaper coverage. "You have a lot of [niche outlets] reporting biotech on the business side for industry experts, and you have a lot of reporting heavily from the science side focused on [readers who are] scientists. But there aren't a lot of outlets doing more humanizing coverage of biotech."
Indeed, the volume of coverage by top-tier media outlets in the U.S. for non-COVID biotech has dropped 32 percent since the pandemic spiked in March, according to an analysis run for this article by Commetric, a company that looks at media reputation for clients in many sectors including biotech and artificial intelligence. Meanwhile, the volume of coverage for AI has held steady, up one percent.
Commetric's CEO, Magnus Hakansson, thinks important biotech stories were omitted from mainstream coverage even before the world fell into the grips of the virus. "Apart from COVID, it's been extremely difficult for biotech companies to push out their discoveries," he says. "People in biotech have to be quite creative when they want to communicate [progress in] different therapeutic areas, and that is a problem."
In mid-February, just before the pandemic dominated the news cycle, researchers used machine learning to find a powerful new antibiotic capable of killing strains of disease-causing bacteria that had previously resisted all known antibiotics. Science-focused outlets hailed the work as a breakthrough, but some nationally-read newspapers didn't mention it. "There is this very silent crisis around antibiotic resistance that no one is aware of," says Goldsack. "We could be 50 years away from not being able to give elective surgeries because we are at such a high risk of being unable to control infection."
Could mainstream media strike a better balance between cynicism toward biotech and hyping animal studies that probably won't ever benefit the humans reading about them?
What's to Gain from More Mainstream Biotech
A brighter public spotlight on biotech could result in greater support and faster progress with research, says Lipset. "One of the biggest delays in drug development is patient recruitment. Patients don't know about the opportunities," he said, because, "clinical research pipelines aren't talked about in the mainstream news." Only about eight percent of oncology patients participate.
The current focus on COVID-19, while warranted, could also be excluding lines of research that seem separate from the virus, but are actually relevant. In September, Nir Barzilai, director of the Institute of Aging Research at Albert Einstein College of Medicine, told me about eight different observational studies finding decreased COVID-19 severity among people taking a drug called metformin, which is believed to slow down the major hallmarks of biological aging, such as inflammation. Once a vaccine is approved and distributed, biologically older people could supplement it with metformin.
"Shining the spotlight on this research now could really be critical because COVID has shown what happens in older adults and how they're more at risk," says Jenna Bartley, a researcher of aging and immunology at the University of Connecticut, but she believes mainstream media sometimes miss stories on anti-aging therapies or portray them inaccurately.
The question remains why.
The Theranos Effect and Other Image Problems
Before the pandemic, Mullin, the biotech writer at OneZero, looked into a story for her editor about a company with a new test for infectious diseases. The company said its test, based on technology for editing genes, was fast, easy to use, and could be tailored to any pathogen. Mullin told her editor the evidence for the test's validity was impressive.
He wondered if readers would agree. "This is starting to sound like Theranos," he said.
The brainchild of entrepreneur Elizabeth Holmes, Theranos was valued at $9 billion in 2014. Time Magazine named Holmes one of its most influential people, and the blood-testing company was heavily covered by the media as a game changer for health outcomes—until Holmes was exposed by the Wall Street Journal as a fraud and criminally charged.
In the OneZero article, Mullin and her editor were careful to explain the gene-editing tech was legit, explicitly distinguishing it from Theranos. "I was like, yes—but this actually works! And they can show it works."
While the Holmes scandal explains some of the mistrust, it's part of a bigger pattern. The public's hopes for biotech have been frustrated repeatedly in recent decades, fostering a media mantra of fool me twice, shame on me. A recent report by Commetric noted that after the bursting of the biotech market bubble in the early 2000s, commentators grew deeply skeptical of the field. An additional source of caution may be the number of researchers in biotech with conflicts of interest such as patents or their own startups. "It's a landmine," Mullin said. "We're conditioned to think that scientists are out for the common good, but they have their own biases."
Yet another source of uncertainty: the long regulatory road and cost for new therapies to be approved by the FDA. The process can take 15 years and over a billion dollars; the percentage of drugs actually crossing the final strand of red tape is notoriously low.
"The only time stories have reached the news is when there's a sensational headline about the cure for cancer," said Lipset, "when, in fact it's about mice, and then things drop off." Meanwhile, consumer protection hurdles for some technologies, such as computer chips, are less onerous than the FDA gauntlet for new medicines. The media may view research breakthroughs in digital tech as more impactful because they're likelier to find their way into commercially available products.
And whereas a handful of digital innovations have been democratized for widespread consumption—96 percent of Americans now own a cell phone, and 72 percent use social media—journalists at nationally-read newspapers may see biotech as less attainable for the average reader. Sure, we're all aging, but will the healthcare system grant everyone fair access to treatments for slowing the aging process? Current disparities in healthcare sow reason for doubt.
And yet. Recall Lipset's point that more press coverage would drive greater participation in clinical trials, which could accelerate them and diversify participants. Could mainstream media strike a better balance between cynicism toward biotech and hyping animal studies that probably won't ever benefit the humans reading about them?
Biotech in a Post-COVID World
Imagine it's early 2022. Hopefully, much of the population is protected from the virus through some combination of vaccines, therapeutics, and herd immunity. We're starting to bounce back from the social and economic shocks of 2020. COVID-19 headlines recede from the front pages, then disappear altogether. Gradually, certain aspects of life pick up where they left off in 2019, while a few changes forced by the pandemic prove to be more lasting, some for the better.
Among its possible legacies, the virus could usher in a new era of biotech development and press coverage, with these two trends reinforcing each other. While government has mismanaged its response to the virus, the level of innovation, collaboration and investment in pandemic-related biotech has been compared to the Manhattan Project. "There's no question that vaccine acceleration is a success story," said Kevin Schulman, a professor of medicine and economics at Stanford. "We could use this experience to build new economic models to correct market failures. It could carry over to oncology or Alzheimer's."
As Winston Churchill said, never let a good crisis go to waste.
Lipset thinks the virus has primed us to pay attention, bringing biotech into the public's consciousness like never before. He's amazed at how many neighbors and old friends from high school are coming out of the woodwork to ask him how clinical trials work. "What happens next is interesting. Does this open a window of opportunity to get more content out? People's appetites have been whetted."
High-profile wins could help to sustain interest, such as deployment of rapid tests of COVID-19 to be taken at home, a version of which the FDA authorized on November 18th. The idea bears resemblance to the Theranos concept, also designed as a portable analysis, except this test met the FDA's requirements and has a legitimate chance of changing people's lives. Meanwhile, at least two vaccines are on track to gain government approval in record time. The unprecedented speed could be a catalyst for streamlining inefficiencies in the FDA's approval process in non-emergency situations.
Tests for COVID-19 represent what some view as the future of managing diseases: early detection. This paradigm may be more feasible—and deserving of journalistic ink—than research on diseases in advanced stages, says Azra Raza, professor of medicine at Columbia University. "Journalists have to challenge this conceit of thinking we can cure end-stage cancer," says Raza, author of The First Cell. Beyond animal studies and "exercise helps" articles, she thinks writers should focus on biotech for catching the earliest footprints of cancer when it's more treatable. "Not enough people appreciate the extent of this tragedy, but journalists can help us do it. COVID-19 is a great moment of truth telling."
Another pressing truth is the need for vaccination, as half of Americans have said they'll skip them due to concerns about safety and effectiveness. It's not the kind of stumbling block faced by iPhones or social media algorithms. AI stirs plenty of its own controversy, but the public's interest in learning about AI and engaging with it seems to grow regardless. "Who are the publicists doing such a good job for AI that biotechnology is lacking?" Lipset wonders.
The job description of those publicists, whoever they are, could be expanding. Scientists are increasingly using AI to measure the effects of new medicines that target diseases—including COVID-19—and the pathways of aging. Mullin noted the challenge of reporting breakthroughs in the life sciences in ways the public understands. With many newsrooms tightening budgets, fewer writers have science backgrounds, and "biotech is daunting for journalists," she says. "It's daunting for me and I work in this area." Now factor in the additional expertise required to understand biotech and AI. "I learned the ropes for how to read a biotech paper, but I have no idea how to read an AI paper."
Nevertheless, Mullin believes reporters have a duty to scrutinize whether this convergence of AI and biotech will foster better outcomes. "Is it just the shiny new tool we're employing because we can? Will algorithms help eliminate health disparities or contribute to them even more? We need to pay attention."
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.