Just Say No to Editing Human Embryos for Reproduction
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.
Over the last few decades, the international community has issued several bioethical guidelines and legally binding documents, ranging from UN Declarations to regional charters to national legislation, about editing the human germline--the DNA that is passed down to future generations. There was a broad consensus that modifications should be prohibited. But now that CRISPR-cas9 and related methods of gene editing are taking the world by storm, that stance is softening--and so far, no thorough public discussion has emerged.
There is broad agreement in the scientific and ethics community that germline gene editing must not be clinically applied unless safety concerns are resolved. Predicting that safety issues will indeed be minimized, the National Academy of Sciences issued a report this past February that sets up several procedural norms. These may serve as guidelines for future implementation of human embryo editing, among them that there are no "reasonable alternatives," a condition that is left deliberately vague.
I regard the conditional embrace of germline gene editing as a grave mistake: It is a dramatic break with the previous idea of a ban, departing also from the moratorium that the UNESCO International Bioethics Committee had recommended in 2015. But in a startling move, the Academy already set the next post, recommending "that genome editing for purposes other than treatment or prevention of disease and disability should not proceed at this time" (my emphasis). It recommended public discussions, but without spelling out its own role in facilitating them.
"The international community should explicitly ban embryo gene editing as a method of human reproduction."
To proceed ethically, I argue that the international community, through the United Nations and in line with the ban on human reproductive cloning, should explicitly ban embryo gene editing as a method of human reproduction. Together with guidelines adjusted for non-reproductive and non-human applications, a prohibition would ensure two important results: First, that non-reproductive human embryo research could be pursued in a responsible way in those countries that allow for it, and second, that individual scientists, public research institutes, and private companies would know the moral limit of possible research.
Basic human embryo research is required, scientists argue, to better understand genetic diseases and early human development. I do not question this, and I am convinced that existing guidelines can be adjusted to meet the moral requirements in this area. Millions of people may benefit from different non-reproductive pathways of gene editing. Germline gene editing, in contrast, does not offer any resolutions to global or local health problems – and that alone raises many concerns about the current state of scientific research.
I support a ban because germline gene editing for reproductive purposes concerns more than safety. The genetic modification of a human being is irreversible and unpredictable in its epigenetic, personal, and social effects. It concerns the rights of children; it exposes persons with disabilities to social stigmatization; it contradicts the global justice agenda with respect to healthcare; and it infringes upon the rights to freedom and well-being of future persons.
"Reproductive germline gene editing directly violates the rights of individual future person."
Apart from questions of justice, reproductive germline gene editing may well increase the stigmatization of persons with disabilities. I want to emphasize here, however, that it directly violates the rights of individual future persons, namely a future child's right to genetic integrity, to freedom, and potentially to well-being, all guaranteed in different UN Declarations of Human Rights. For all these reasons, it is an unacceptable path forward.
The way the discussion has been framed so far is very different from my perspective that situates germline gene editing in the broader framework of human rights and responsibilities. In short, many others never questioned the goal but instead focused on the unintentional side-effects of an otherwise beneficial technique for human reproduction. Some scientists see germline gene editing as an alternative to embryo selection via Preimplantation Genetic Diagnosis (PGD), a procedure in which multiple embryos are tested to find out which ones carry disease-causing mutations. Others see it as the first step to human enhancement.
Some physicians argue that in the field of assisted reproduction, not every couple is comfortable with embryo selection via PGD, because potentially, unchosen embryos are discarded. Germline gene editing offers them an alternative. It is rarely mentioned, however, that germline gene editing would most likely still require PGD as a control of the procedure (though without the purpose of selection), and that prenatal genetic diagnosis would also be highly recommended. In other words, germline gene editing would not replace existing protocols but rather change their purpose, and it would also not necessarily reduce the number of embryos needed for assisted reproduction.
In some (rare) cases, PGD is not an option, because in the couples' condition, all embryos will be affected. One current option to avoid transmitting genetic traits is to use a donor sperm or egg, though the resulting child would not be genetically related to one parent. If these parents had an obligation, as some proponents argue, to secure the health of their offspring (an argument that I do not follow), then procreation with sperm or egg donation would even be morally required, as this is the safest procedure to erase a given genetic trait.
There are no therapeutic scenarios that exclusively require reproductive gene editing even if one accepts the right to reproductive autonomy. The fact is that couples who rightly wish to secure and protect the health of their future children can be offered medical alternatives in all cases. However, this requires considering sperm or egg donation as the safest and most reasonable option – the condition the NAS Report has set.
Scientists in favor of germline gene editing argue against this: the desire for genetic kinship, they say, is a legitimate expression of a couple's reproductive freedom, and germline gene editing offers them an alternative to have a healthy child. In the future, proponents say, these (very few) couples who wish for genetically related offspring will be faced with the dilemma of either accepting the transmission of a genetic health risk to their children or weighing the benefits and risks of gene editing.
But here is a blind spot in the whole discussion.
Many scientists and some bioethicists think that reproductive freedom includes the right to a genetically related child. But even if we were to presuppose such a right, it is not absolute in the context of assisted reproduction. Although sperm or egg donation may be undesirable for some couples, the moral question of responsibility does not disappear with their reproductive rights. At a minimum, the future child's rights must be considered, and these rights go further than their health rights.
It is puzzling that in claiming their own reproductive freedom, couples would need to ignore their children's and possibly grandchildren's future freedom – including the constraints resulting from being monitored over the course of their lives and the indirect constraints of the children's own right to reproductive freedom. From a medical standpoint, it would be highly recommended for them, too, to have children through assisted reproduction. This distinguishes germline gene editing from any other procedure of assisted reproduction: we need the data from the second and third generations to see whether the method is safe and efficacious. Whose reproductive freedom should count, the parents' or the future children's?
But for now, the question of parental rights may well divert the discussion from the question of responsible gene editing research; its conditions and structures require urgent evaluation and adjustment to guide international research groups. I am concerned that we are in the process of developing a new technology that has tremendous potential and ramifications – but without having considered the ethical framework for a responsible path forward.
Editor's Note: Check out the viewpoints expressing enthusiastic support and mild curiosity.
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.