What Will Make the Public Trust a COVID-19 Vaccine?
With a brighter future hanging on the hopes of an approved COVID-19 vaccine, is it possible to win over the minds of fearful citizens who challenge the value or safety of vaccination?
Globally, nine COVID-19 vaccines so far are being tested for safety in early phase human clinical trials.
It's a decades-old practice. With a dose injected into the arm of a healthy patient, doctors aim to prevent illness with a vaccine shot designed to trigger a person's immune system to fight serious infection without getting the disease.
This week, in fact, the U.S. frontrunner vaccine candidate, developed by Moderna, safely produced an immune response in the first eight healthy volunteers, the company announced. A large efficacy trial is planned to start in July. But if positive signals for safety and efficacy result from that trial, will that be enough to convince the public to broadly embrace a new vaccine?
"Throughout the history of vaccines there has always been a small vocal minority who don't believe vaccines work or don't trust the science," says sociologist and researcher Jennifer Reich, a professor at the University of Colorado in Denver and author of Calling the Shots: Why Parents Reject Vaccines.
Research indicates that only about 2 percent of the population say vaccines aren't necessary under any circumstance. Remarkably, a quarter to one third of American parents delay or reject the shots, not because they are anti-vaccine, but because they disapprove of the recommended timing or administration, says Reich.
Additionally, addressing distrust about how they come to market is key when talking to parents, workers or anyone targeted for a new vaccine, she says.
"When I talk to parents about why they reject vaccines for their kids, a lot of them say that they don't fully trust the process by which vaccines are regulated and tested," says Reich. "They don't trust that vaccine manufacturers -- which are for-profit companies -- are looking out for public health."
Balancing Act
Globally, nine COVID-19 vaccine candidates so far are being tested for safety in early phase human clinical trials and more than 100 are under development as scientists hustle to curtail the disease. Creating a new vaccine at a record pace requires a delicate balance of benefit and risk, says vaccinology expert Dr. Kathryn Edwards, professor of pediatrics in the division of infectious diseases at Vanderbilt University School of Medicine in Nashville, Tenn.
"We take safety very seriously," says Dr. Edwards. "We don't want something bad to happen, but we also realize that we have a terrible outbreak and we have a lot of people dying. We want to figure out how we can stop this."
In the U.S., all vaccine clinical trials have a data safety board of experts who monitor results for adverse reactions and red flags that should halt a study, notes Dr. Edwards. Any candidate that succeeds through safety and efficacy trials still requires review and approval by the Food and Drug Administration before a public launch.
Community vs. Individual
A major challenge to the deployment of a safe and effective coronavirus vaccine goes beyond the technical realm. A persistent all-out anti-vaccine sentiment has found a home and growing community on social media where conspiracies thrive. Main tenets of the movement are that vaccines are ineffective, unsafe and cause autism, despite abundant scientific evidence to the contrary.
Best-case scenario, more than one successful vaccine ascends with competing methods to achieve the same goal of preventing or lessening the severity of the COVID-19 virus.
In fact, widespread use of vaccines is considered by the U.S. Centers of Disease Control and Prevention to be one of the greatest public health achievements of the 20th Century. The World Health Organization estimates that between two million to three million deaths are avoided each year through immunization campaigns that employ vaccination to control life-threatening infectious diseases.
Most people reluctant to give their children vaccines, however, don't oppose them for everyone, but believe that they are a personal choice, says Reich.
"They think that vaccines are one strategy in personal health optimization, but they shouldn't be mandated for participation in any part of civil society," she says.
Vaccine hesitancy, like the teeter totter of social distancing acceptance, reflects the push and pull of individual versus community values, says Reich.
"A lot of people are saying, 'I take personal responsibility for my own health and I don't want a city or a county or state telling me what I should and shouldn't do,'" says Reich. "Then we also see calls for collective responsibility that says 'It's not your personal choice. This is about helping health systems function. This is about making sure vulnerable people are protected.'"
These same debates are likely to continue if a vaccine comes to market, she says.
Building Public Confidence
Reich offers solutions to address the conflict between embedded American norms and widespread embrace of an approved COVID-19 vaccine. Long-term goals: Stop blaming people when they get sick, treat illness as a community responsibility, make sick leave common for all workers, and improve public health systems.
"In the shorter run," says Reich, "health authorities and companies that might bring a vaccine to market need to work very hard to explain to the public why they should trust this vaccine and why they should use it."
The rush for a viable vaccine raises questions for consumers. To build public confidence, it's up to FDA reviewers, institutions and pharmaceutical companies to explain "what steps were skipped. What steps moved forward. How rigorous was safety testing. And to make that information clear to the public," says Reich.
Dr. Edwards says clinical trial timelines accelerated to test vaccines in humans make all the safeguards involved in the process that more compelling and important.
"There's no question we need a vaccine," she says. "But we also have to make sure that we don't harm people."
The Road Ahead
Think of manufacturing and distribution as key pitstops to keep the race for a vaccine on the road to the finish line. Both elements require substantial effort and consideration.
The speed of getting a vaccine to those who need it could hinge on the type of technology used to create it. Best-case scenario, more than one successful vaccine ascends with competing methods to achieve the same goal of preventing or lessening the severity of the COVID-19 virus.
Technological platforms fall into two basic camps, those that are proven and licensed for other viruses, and experimental approaches that may hold great promise but lack regulatory approval, says Maria Elena Bottazzi, co-director of Texas Children's Center for Vaccine Development at Baylor College of Medicine in Houston.
Moderna, for instance, employs an experimental technology called messenger RNA (mRNA) that has produced the encouraging early results in human safety trials, although some researchers criticized the company for not making the data public. The mRNA vaccine instructs cells to make copies of the key COVID-19 spike protein, with the goal of then triggering production of immune cells that can recognize and attack the virus if it ever invades the body.
"We were already seeing a lot of dissent around questions of individual freedoms and community responsibilities."
Scientists always look for ways to incorporate new technologies into drug development, says Bottazzi. On the other hand, the more basic and generic the technology, theoretically, the faster production could ramp up if a vaccine proves successful through all phases of clinical trials, she says.
"I don't want to develop a vaccine in my lab, but then I don't have anybody to hand it off to because my process is not suitable" for manufacturing or scalability, says Bottazzi.
Researchers at the Baylor lab hope to repurpose a shelved vaccine developed for the genetically similar SARS virus, with a strategy to leverage what is already known instead of "starting from scratch" to develop a COVID-19 vaccine. A recombinant protein technology similar to that used for an approved Hepatitis B vaccine lets scientists focus on identifying a suitable vaccine target without the added worry of a novel platform, says Bottazzi.
The Finish Line
If and when a COVID-19 vaccine is approved is anyone's guess. Announcing a plan to hasten vaccine development via a program dubbed Operation Warp Speed, President Trump said recently one could be available "hopefully" by the end of the year or early 2021.
Scientists urge caution, noting that safe vaccines can take 10 years or more to develop. If a rushed vaccine turns out to have safety and efficacy issues, that could add ammunition to the anti-vaccine lobby.
Emergence of a successful vaccine requires an "enormous effort" with many complex systems from the lab all the way to manufacturing enough capacity to handle a pandemic, says Bottazzi.
"At the same time, you're developing it, you're really carefully assessing its safety and ability to be effective," she says, so it's important "not to get discouraged" if it takes longer than a year or more.
To gauge if a vaccine works on a broad scale, it would have to be delivered into communities where the virus is active. There are examples in history of life-saving vaccines going first to people who could pay for them and not to those who needed them most, says Reich.
"Agencies are going to have to think about how those distribution decisions are going to be made and who is going to make them and that will go a certain way toward reassuring the public," says Reich.
A Gallup survey last year found that vaccine confidence, in general, remains high, with 86 percent of Americans believing that vaccines are safer than the diseases that they are designed to prevent. Still, recent news organization polls indicate that roughly 20 to 25 percent of Americans say they won't or are unlikely to get a COVID-19 vaccine if one becomes available.
Until the 1980s, every vaccine to hit the market was appreciated; a culture of questioning science didn't exist in the same way as today, notes Reich. Time passed and attitudes changed.
"We were already having robust arguments nationally about what counts as an expert, what's the role of the government in daily life," says Reich. "We were already seeing a lot of dissent around questions of individual freedoms and community responsibilities. COVID-19 did not create those conflicts, but they've definitely become more visible since we've moved into this pandemic."
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.