“You First”: Who Will Be Front in Line to Get a COVID Vaccine?
There is a huge amount riding on the discovery of a vaccine effective against the Covid-19 virus.
Making 660 million of anything without a glitch is—to put it mildly—a tall order in a nation that remains short on masks, gowns, and diagnostic tests despite months of trying to meet demand.
The world is waiting for a vaccine that can liberate everyone from the constraints on liberty required by existing efforts to fight the virus with public health measures such as masks, isolation, and quarantining. President Trump, for the most part, has rejected tough public health measures. Instead he has staked his political future and those of the governors and Congressional Republicans who have followed his lead on delivering a vaccine before Election Day as the solution to the COVID-19 pandemic in the USA. Many scientific experts have been sounding encouraging notes about having a vaccine by the end of this year or early next, as have many CEOs among the more than 160 companies chasing various strategies to identify a safe and effective vaccine.
But the reality is that no matter how fast a vaccine appears, those who might benefit will face a significant period of time before they could receive one. This is due to a variety of realities. Any vaccine faces various regulatory hurdles to insure safety and efficacy. This means completing large-scale studies in tens of thousands of subjects hoping for enough cases of blunted natural infection versus a large placebo control group to determine that a vaccine works. And that takes time--plus adding in delays in manufacturing and delivery, which will create logjams for most prospective recipients.
Shipping is not going to be easy with cold chain storage requirements from -20 to -70 degrees Celsius, from factory to a doctor's office, depending on the vaccine. In addition, many of the vaccines under development require two doses--that is 660 million shots to cover just those in the United States. Making 660 million of anything without a glitch is—to put it mildly—a tall order in a nation that remains short on masks, gowns, and diagnostic tests, despite months of trying to meet demand.
There are three scenarios under which a vaccine can appear but without being in any way available to all Americans.
The first is a vaccine under development in the USA or with some USA financing begins to show promise before a full clinical trial is completed. Current vaccine trials are supervised by Data Safety and Monitoring Boards and those committees could tell a CEO eager to be first to market that their vaccine is looking good at the study's half-way point.
The CEO and vaccine manufacturing company's board then let the White House know that a magic bullet which can ensure the President's reelection is in hand. The President, as he has done many times with other COVID treatments, most recently convalescent plasma, intervenes with the FDA and demands approval using an Emergency Use Authorization, or invoking the Federal Right to Try law he and Mike Pence are constantly touting. FDA Commissioner Steve Hahn folds and an extremely limited supply of vaccine, maybe only 100,000 doses, is available just before Election Day.
The second scenario is that another nation discovers a vaccine that looks safe and effective and the USA is able to buy some supply of it. But again, we are likely, initially, to get an extremely limited amount.
Lastly, the vaccine is approved in a standard manner. A full randomized trial is done, the endpoints are met, and no serious adverse events are identified. It is a USA-funded vaccine so most of it is coming here first. Still the vials and needles and plugs need to be quality-controlled and shipped and stored at the right temperatures. Information sheets and consent forms need to be readied, offered, and signed. Odds are you won't see any of this vaccine until late next year. So, who is going to get the first shots?
Some people under all of these scenarios are going to say, "Count me out." They don't trust vaccines or they don't trust the government to provide a safe one. Others may say, "The first one out of the box may be OK, but I am going to wait for the 'best' one before I take one." Even if those numbers are large, it is still certain that there will be more takers than can be vaccinated.
If you look at the discussion of vaccine rationing, almost everybody — including government officials, FDA officials, advisory panelists and ethicists — says the first group that should get vaccinated are at-risk healthcare workers. They say it, although they're not always clear about why.
One reason is that you need to give it to health care workers first because they will keep the healthcare system going. Another is that you need to give it to them first because they face more risk and they should get rewarded for having done and continuing to do that -- their bravery ought to be rewarded and their risk reduced.
A subset of hospitals and institutions in high risk areas will [go first] and that will be it for a significant period of time.
Both of these arguments for health care worker priority are not completely convincing. Food and power and vaccine manufacturing are arguably as important as health care, but workers in those areas don't get priority attention in most guidelines. And many Americans face risks from COVID comparable to health care workers, especially those who are not on the front lines in ERs and ICUs. Prisoners, military personnel who work on warships, the elderly, nursing home residents, and poor minorities are disproportionately affected by COVID. However, none of them are going first, nor is it clear how to weigh their claims in competing against one another for a scarce vaccine.
But, there's something else that's interesting in deciding who goes first. When people all agree, as they almost always do, that it's health care workers who must go first, a huge problem remains. What is the definition of who's a healthcare worker? You could easily get millions and millions of people designated as healthcare workers who would have a claim to go first.
We normally think that health care worker means doctors and nurses. But, if we go beyond those who work in ERs and ICUs, the number is big. And we must, because no ER or ICU can run without huge numbers of supporting individuals.
If you don't vaccinate lab technicians, people who clean the rooms, make food, transport patients, provide security, do the laundry, run the IT, students, volunteers and so on, you're not going to have a functioning hospital. If you don't include those working in nursing homes, home care and hospices along with those making and supplying vital equipment and bringing in patients via ambulances, police cars, and fire trucks, you don't have a functioning ICU, much less a health care system.
The total number involved could easily exceed tens of millions depending on how broadly the definition is set.
So, what is likely to happen is that health care workers will not go first. A subset of hospitals and institutions in high risk areas will and that will be it for a significant period of time. Health care institutions in hot spots, plus the supporting services they need will go first and then vaccine availability will slowly expand to other health care institutions and the essential workers needed to keep them functioning. Then consideration will also be given to how best to control the spread of the virus in selecting hot spots versus saving prisoners or the poor. And you can be sure, whatever the guidelines are, that the military and security folks will demand their share.
For many, many months if not a year or more, most people will not have to face a choice about vaccinating. The supply just won't be there for the general public. It is a small sample of high-risk health care workers including vaccine manufacturing employees and shippers, plus essential workers to keep hospitals and nursing homes going, who will be first in line. Odds are you and your family will still be wearing masks and social distancing well into next year.
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.