“Synthetic Embryos”: The Wrong Term For Important New Research
As a subject of research, an unusual degree of consensus appears to exist among scientists, politicians and the public about human embryos being deserving of special considerations. But what those special considerations should be is less clear. And this is where the subject becomes contentious and opinions diverge because, somewhat surprisingly, what really represents a human embryo has so far not been resolved.
"Prior to implantation, embryos must be given a different level of reverence than after implantation."
In 2002, Howard W. Jones Jr., widely considered the "father" of in vitro fertilization (IVF) in the U.S., argued in a widely acclaimed article titled "What is an embryo?" that a precondition for the definition of a human embryo was successful implantation. Only once implantation established a biological unit between embryo and mother, could a relatively small number of human cells be considered a human embryo.
Because he felt strongly that human embryos, indeed, deserve special considerations, and should receive those during IVF, he pointed out that, even inside a woman's body, most human embryos (in contrast to other species) never implant and, therefore, are never given a chance at human life. Consequently, he reasoned that prior to implantation, embryos must be given a different level of reverence than after implantation.
"One cannot help but wonder about the fog of misconceptions and misrepresentations that still surrounds what an embryo is."
This difference, he felt, should also be reflected in scientific language, proposing that embryos prior to implantation in daily IVF practice be called "pre-embryos," with the term "embryo" reserved for post-implantation-stage embryos. Then still unknown to Jones, recent research findings support this viewpoint, since genetic profiles of pre- and post-implantation stage embryos greatly differ.
In an analogy to nature, which in humans allows implantation of only a small minority of naturally generated pre-embryos, IVF centers around the world routinely discard large numbers of pre-embryos, judged inadequate for producing normal pregnancies. Jones' suggestion that only post-implantation embryos should be considered embryos deserving of special considerations, therefore, not only appears prescient and considerate of current IVF practices, but grounded in scientific reality. One, therefore, cannot help but wonder about the fog of misconceptions and misrepresentations that still surrounds what an embryo is.
"Much of the regulatory environment surrounding research on human embryos is guided by emotions rather than science and logical thinking."
In 1984, a British ethics committee issued the Warnock Report, which still today prohibits scientists worldwide from studying human embryos in a lab beyond 14 days from fertilization or past formation of the so-called primitive streak, whichever comes first. Well-meaning in its day, its intent was to apply special considerations to human pre-embryos by protecting them from the potential of "feeling pain," once the primitive streak arose on day-15 of development. Formation of the primitive streak signifies a process known as gastrulation, when a subset of cells from the inner cell mass of the pre-embryo are transformed into the three germ layers that comprise all tissues of the developing embryo: The ectoderm, which gives rise to the nervous system; the mesoderm, which gives rise to the circulatory system, muscle, and kidneys; and the endoderm which gives rise to the interior lining of the digestive and respiratory tracts, among other tissues.
That pre-embryos may feel pain at that stage of development was far-fetched in 1984; in view of what we have learned about early human embryology in the 33 years since, it remains untenable today. And, yet, scientists all over the world remain bound by the ethical constraints imposed by the Warnock Report.
A similar ethical paradox exists today for guidelines affecting huge numbers of so-called "abandoned" cryopreserved embryos, often stored ad infinitum in IVF centers all over the world. These are pre-embryos, whose "parents" are no longer responsive to queries from their IVF centers. Current U.S. guidelines allow the disposal of such pre-embryos but prohibit their use in research that may benefit mankind. One, however, wonders whether disposal of huge numbers of abandoned embryos is really more ethical than their use in potentially life-saving human research?
That much of the regulatory environment surrounding research on human embryos is, indeed, guided by emotions rather than science and logical thinking, is also demonstrated by recently expressed concern about so-called "artificial" or "synthetic" embryos. Though both of these terms suggest impending ability to create human embryos from synthetic building blocks, this is not what these terms are meant to describe (such abilities also are not on the horizon). They also do not describe abilities to create gametes (i.e., eggs and sperm) from somatic cells by reprogramming adult peripheral cells, which has already been successfully done in mice by Japanese investigators, leading to the creation of healthy embryos and births and three generations of healthy pubs. Such an approach is at least conceivable as an upcoming infertility treatment.
"A team of biologists and engineers at the University of Michigan recently received media attention after creating organoids from embryonic stem cells that resembled human embryos."
What all of this noise is really about is the discovery that, as several Rockefeller University investigators recently noted, "Cells have an intrinsic ability to self-assemble and self-organize into complex and functional tissues and organs." Investigators have taken advantage of this ability by creating in the lab so-called "organoids" from accumulations of individual embryonic stem cells. They are defined by three characteristics: (i) they contain a variety of cell types and tissue layers, all typical for a given organ; (ii) these cells are organized similarly to their organization in a specific organ; and (iii) the organoid mimics functions of the organ.
Several other biologists from the Cincinnati Children Hospital Medical Center recently noted that in the last five years, quite a variety of human stem cell-derived organoids, including all three germ layers, have been generated by different research groups around the world, thereby establishing new human model systems that can be used outside the body, in a dish, to investigate otherwise difficult-to-approach organs. Interestingly, they can also be used to investigate early stages of human embryological development.
A team of biologists and engineers at the University of Michigan recently received media attention after creating organoids from embryonic stem cells that resembled human embryos and, therefore, were given the name "embroids." Though clearly not embryos (the only thing they had in common with human embryos were cell types), they were nevertheless awarded in at least one article the identity of "artificial embryos," which "no one knows how to handle." As Howard Jones so correctly noted, with the word embryo often comes undeserved reverence.
"Any association with the term "embryo" should be avoided; it is not only misleading and irresponsible but scientifically incorrect."
Artificial embryos, therefore, do not exist. Organoids that resemble embryos (i.e., "embroids"), while potentially very useful research objects in studies of early human embryonic cell organization and lineage development, are not embryos--not even pre-embryos. Special considerations for "artificial" or "synthetic" embryos, as recently advocated by some scientists, therefore, appear ethically undeserved. How misdirected and forced some of these efforts are is probably best demonstrated by a recent publication in which a group of Harvard University investigators proposed the term "synthetic human entities with embryo-like features" or SHEEFS" in place of "organoids." Preferably, however, in describing these laboratory-created entities, any association with the term "embryo" should be avoided. It is not only misleading and irresponsible but scientifically incorrect.
Clinical reproductive medicine and reproductive biology, for valid ethical reasons, but also because of myths, misperceptions and, sometimes, outright misrepresentations of facts for political reasons, are under more public scrutiny than most other science areas. Yet, at least in the realm of biomedical research, nothing appears more important than better understanding the first few days of human embryo development. A recent study involving genetic editing of human embryos, reported by British investigators in Nature, once again confirmed what biologist have known for some time: No animal model faithfully recapitulates most of human developmental origins. The most important secrets nature still has to tell us, will not be revealed through mouse or other animal studies. We will discover them only through the study of early-stage human embryos – and we, therefore, should not limit the use of lab-grown organoids to help further that research.
Understanding early human development "will not only greatly enhance the biological understanding of our species; but also will open groundbreaking new therapeutic options in all areas of medicine."
As Howard Jones intuitively noticed, words matter. Appropriate and uniformly accepted definitions and terms are not only essential for scientific communications but, within the context of human reproduction, often elicit strong emotional reactions, and are easily misappropriated by those opposed to most interventions into human reproduction.
Who does not recall the early days of IVF in the late 1970s, when even reputable news outlets raised the specter of Frankenstein monsters created through the IVF process? Millions of IVF births later, a Nobel Prize in Medicine and Physiology was in 2010 finally awarded to the biologist Robert Edwards who, together with the gynecologist Patrick Steptoe, reported the first live birth through IVF on July 25, 1978. Many more awards are still waiting for recipients who through the study of early human embryo development will discover how cell fate is determined and cells acquire highly specific functions; how rapid cell proliferation takes place and, when required, stops; why chromosomal abnormalities are so common in early stage embryos and what their function may be.
Those who will discover these and many other important answers, will not only greatly enhance the biological understanding of our species; but also will open groundbreaking new therapeutic options in all areas of medicine. Learning how to control cell proliferation, for example, will likely revolutionize cancer therapy; I started my research career in biology with a study published in 1980 of "common denominators of pregnancy and malignancy." If regulatory prohibitions are not allowed to interfere in rapidly progressing research opportunities involving organoids and pre-embryos, we will, finally, see the circle closing, with the most rewarding benefits for mankind ever achieved through biological research.
Editor's Note: Read a different viewpoint here written by one of the world's top experts on the ethics of stem cell research.
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.