Why the Panic Over "Designer Babies" Is the Wrong Worry
BIG QUESTION OF THE MONTH: Should we use CRISPR, the new technique that enables precise DNA editing, to change the genes of human embryos to eradicate disease--or even to enhance desirable traits? LeapsMag invited three leading experts to weigh in.
CRISPR is producing an important revolution in the biosciences, a revolution that will change our world in fundamental ways. Its implications need to be discussed and debated, and not just by scientists and ethicists. Unfortunately, so far we are debating the wrong issues.
Controversy has raged about editing human genes, particularly the DNA of embryos that could pass the changes down to their descendants. This technology, human germline editing, seems highly unlikely to be broadly available for at least the next few decades; if and when it is, it may well be unimportant.
Human germline editing is unlikely to happen soon because it has important safety risks but almost no significant benefits.
Human germline editing is unlikely to happen soon because it has important safety risks but almost no significant benefits. The risks – harm to babies – are compelling. We care a lot about babies. A technology that worked 95 percent of the time (and produced disabled or dying infants "only" five percent of the time) would be a disaster. Our concern for babies will lead, at the least, to rigorous legal requirements for preapproval safety testing. Many countries will just impose flat bans.
But these risks also have implications beyond safety regulation. For this technology to take off, physicians, assisted reproduction clinics, and geneticists will have to be willing to put their reputations – and their malpractice liability – on the line. And prospective mothers will have to be willing to take unknown risks with their children.
Sometimes, large and unknown risks are worth taking, but not here. For the next few decades, human germline editing offers almost no substantial benefits, for health or for enhancement.
Prospective parents already have a tried and true alternative to avoid having children with genetic diseases: preimplantation genetic diagnosis (PGD). In PGD, clinicians remove cells from three- to five-day-old embryos. Those cells are then tested to see which embryos would inherit the disease and which would not. This technology has been in use for over 27 years and is safe and effective. Rather than engaging in editing an embryo's disease-causing DNA, parents can just select embryos without those DNA variations. For so-called autosomal recessive diseases, three out of four embryos, on average, will be disease free; for autosomal dominant diseases, half will be.
Only a handful of prospective parents would need to use gene editing to avoid genetic disease.
Couples where each has the same recessive condition (cystic fibrosis) or where one of them has the terrible luck to have two copies of the DNA variant for a dominant disease (Huntington's disease). In those cases, the prospective parents would need to stay alive long enough to be able, and be sufficiently healthy to want, to have children. In a world of 7.3 billion humans, there will be some such cases, but they will probably be no more than a few thousand – or hundred.
People are also concerned about germline editing for genetic enhancement. But this is also unlikely anytime soon. We know basically nothing about genetic variations that enhance people beyond normal. For example, we know hundreds of genes that, when damaged, affect intelligence – but these all cause very low intelligence. We know of no variations that non-trivially increase it.
Over the next few decades, we might (or might not) learn about complex diseases where several genes are involved, making embryo selection less useful. And we might (or might not) learn about genetic enhancements involving DNA sequences not typically found in prospective parents and so not available to embryo selection. By that time, the safety issues could be resolved.
And, even then, how worried should we be – and about what? A bit, but not very and not about much.
"The human germline genome is not the holy essence of humanity."
The human germline genome is not the holy essence of humanity. For one thing, it doesn't really exist. There are 7.3 billion human germline genomes; each of us has a different one. And those genomes change every generation. I do not have exactly the same genetic variations my parents received from my grandparents; my children do not have exactly the ones I received from my parents. The DNA changed, through mutation, during each generation.
And our editing will usually be insignificant in the context of the whole human genome. For medical purposes, we will change some rare DNA variations that cause disease into the much more common DNA variations that do not cause disease. Rare, nasty variants will become rarer, but civilization changes these frequencies all the time. For instance, the use of insulin has increased the number of people with DNA variations that predispose people to type 1 ("juvenile") diabetes – because now those people live long enough to reproduce. Even agriculture changed our DNA, leading, for example, to more copies of starch-digesting genes. And, in any event, what is the meaningful difference between "fixing" a disease gene in an embryo or waiting to fix it with gene therapy in a born baby . . . other than avoiding the need to repeat the gene therapy in the next generation?
If genetic enhancement ever becomes possible in a non-trivial way, it would raise important questions, but questions about enhancement generally and not fundamentally about genetics. Enhancement through drugs, prosthetics, brain-computer interfaces, genes, or tools (like the laptop I wrote this on) all raise similar ethical issues. We can use the decades we will have to try to think more systematically about the ethical and policy issues for all enhancements. We should not panic about germline genetic enhancement.
One superficially appealing argument is that we are not wise enough to change our own genomes. This ignores the fact that we have been changing our genomes, inadvertently, since at least the dawn of civilization. We do not have to be wise enough to change our genome perfectly; we just need to be wise enough to change it better than the random and unforeseen ways we change it now. That should not be beyond our power.
Human germline editing will not be a concern for several decades and it may never be an important concern. What should we be paying attention to?
Non-human genome editing. Governments, researchers, and even do-it-yourself hobbyists can use CRISPR, especially when coupled with a technique called "gene drive," to change the genomes of whole species of living things – domestic or wild; animal, vegetable, or microbial – cheaply, easily, and before we even know it is happening. We care much less about mosquito babies than human ones and our legal structures are not built for wise and nuanced regulation of this kind of genome editing. Those issues demand our urgent attention – if we can tear ourselves away from dramatic but less important visions of "designer babies."
Editor's Note: Check out the viewpoints expressing condemnation and enthusiastic support.
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.