Hacking Your Own Genes: A Recipe for Disaster
Editor's Note: Our Big Moral Question this month is: "Where should we draw a line, if any, between the use of gene editing for the prevention and treatment of disease, and for cosmetic enhancement?" It is illegal in the U.S. to develop human trials for the latter, even though some people think it should be acceptable. The most outspoken supporter recently resorted to self-experimentation using CRISPR in his own makeshift lab. But critics argue that "biohackers" like him are recklessly courting harm. LeapsMag invited a leading intellectual from the Center for Genetics and Society to share her perspective.
"I want to democratize science," says biohacker extraordinaire Josiah Zayner.
This is certainly a worthy-sounding sentiment. And it is central to the ethos of biohacking, a term that's developed a bit of sprawl. Biohacking can mean non-profit community biology labs that promote "citizen science," or clever but not necessarily safe or innocuous garage-based experiments with computers and genetics, or efforts at biological self-optimization via techniques including cybernetic implants, drug supplements, and intermittent fasting.
They appear to have given little thought to whether curiosity should be bound in any way by care for social consequence.
Against that messy background, what should we make of Zayner? The thirty-something ex-NASA scientist, who describes himself as "a global leader in the BioHacker movement," put his interpretation of democracy on display last October during a CRISPR-yourself performance at a San Francisco biotech conference. In that episode, he dramatically jabbed himself with a long needle, injecting his left forearm with a home-made gene-editing concoction that he said would disrupt his myostatin genes and bulk up his muscles.
Zayner sees himself, and is seen by some fellow biohackers, as a rebel hero: an intrepid scientific adventurer willing to risk his own well-being in the tradition of self-experimentation, eager to push the boundaries of established science in the service of forging innovative modes of discovery, ready to stand up to those stodgy bureaucrats at the FDA in the name of biohacker freedom.
To others, including some in the biohacker community, he's a publicity-seeking stunt man, perhaps deluded by touches of toxic masculinity and techno-entrepreneurial ideology, peddling snake-oil with oozing ramifications.
Zayner is hardly coy about his goals being larger than Popeye-like muscles. "I want to live in a world where people are genetically modifying themselves," he told FastCompany. "I think this is, like, literally, a new era of human beings," he mused to CBS in November. "It's gonna create a whole new species of humans."
Nor does he deign to conceal his tactics. The webpage of the company he launched to sell DIY gene-editing kits (which is advised by celebrity geneticist George Church) says that Zayner is "constantly pushing the boundaries of Science outside traditional environments." He is more explicit when performing: "Yes I am a criminal. And my crime is that of curiosity," he said last August to a biohacker audience in Oakland, which according to Gizmodo erupted in applause.
Regrettably, Zayner, along with some other biohackers and their defenders in the mainstream scientific world, appear to have given little thought to whether curiosity should be bound in any way by care for social consequence.
In December, the FDA issued a brief statement warning against using DIY kits for self-administered gene editing.
Though what's most directly at risk in Zayner's self-enhancement hack is his own safety, his bad-boy celebrity status is likely to encourage emulation. A few weeks after his San Francisco performance, 27-year-old Tristan Roberts took to Facebook Live to give himself a DIY gene modification injection to keep his HIV infection in check, because he doesn't like taking the regular medications that prevent AIDS. Whatever it was that he put into his body was provided by a company that Gizmodo describes as a "mysterious biotech firm with transhumanist leanings."
Zayner doesn't outright provide DIY gene hacks to others. But among his company's offerings are a free DIY Human CRISPR Guide and a $20 CRISPR-Cas9 plasmid that targets the human myostatin gene – the one that Zayner said he was targeting to make his muscles grow. Presumably to fend off legal problems, the product page says: "This product is not injectable or meant for direct human use" – a label as toothless as the fine print on cigarette packages that breaks the news that smoking causes cancer.
Some scientists warn that Zayner's style of biohacking carries considerable dangers. Microbiologist Brian Hanley, himself a self-experimenter who now opposes "biohacking humans," focuses on the technical difficulty of purifying what's being injected. "Screwing up can kill you from endotoxin," he says. "If you get in trouble, call me. I will do my best to instruct the physician how to save your life….But I make no guarantees you will survive."
Hanley also commented on the likely effectiveness of Zayner's effort: "Either Josiah Zayner is ignorant or he is deliberately misleading people. What he suggests cannot work as advertised."
Ensuring the safety and effectiveness of medical drugs and devices is the mandate of the US Food and Drug Administration. In December, the agency issued a brief statement warning against using DIY kits for self-administered gene editing, and saying flat out that selling them is against the law.
The stem cell field provides an unfortunate model of what can go wrong.
Zayner is dismissive of the safety risks. He asks in a Buzzfeed article whether DIY CRISPR should be considered more harmful than smoking or chemotherapy, "legal and socially acceptable activities that damage your genes." This is a strange line of argument, given the decades-long battles with the tobacco industry to raise awareness about smoking's significant harms, and since the side effects of chemotherapy are typically not undertaken by choice.
But the implications of what Zayner, Roberts, and some of their fellow biohackers are promoting ripple well beyond direct harms to individuals. Their rhetoric and vision affect the larger project of biomedicine, and the fraught relationships among drug researchers, pharmaceutical companies, clinical trial subjects, patients, and the public. Writing in Scientific American, Eleanor Pauwels of the Wilson Center, who is sympathetic to biohacking, lists the down sides: "blurred boundaries between treatments and self-experimentation, peer pressure to participate in trials, exploitation of vulnerable individuals, lack of oversight concerning quality control and risk of harm, and more."
These prospects are germane to the current state of human gene editing. After decades of dashed hopes, including deaths of research subjects, "gene therapy" may now be close to deserving the promise in its name. But with safety and efficacy still being evaluated, it's especially crucial to be honest about limitations as well as possibilities.
The stem cell field provides an unfortunate model of what can go wrong. Fifteen years ago, scientists, patient advocates, and even politicians routinely indulged in wildly over-optimistic enthusiasm about the imminence of stem cell therapies. That binge of irresponsible promotion helped create the current situation of widespread stem cell fraud: hundreds of clinics in the US alone selling unproven treatments to unsuspecting and sometimes desperate patients. Many have had their wallets lightened; some have gone blind or developed strange tumors that doctors have never before seen. The FDA is scrambling to address this still-worsening situation.
Zayner-style biohacking and promotion may also impact the ongoing controversy about whether new gene editing tools should be used in human reproduction to pre-determine the traits of future children and generations. Much of the widespread opposition to "human germline modification" is grounded in concern that it would lead to a society in which real or purported genetic advantages, marketed by fertility clinics to affluent parents, would exacerbate our already shameful levels of inequality and discrimination.
With powerful new technologies increasingly shaping the world, there's a lot riding on our capacity to democratize science. But as a society we don't yet have much practice at it.
Yet Zayner is all for it. In an interview in The Guardian, he comments, "DNA defines what a species is, and I imagine it wouldn't be too long into the future when the human species almost becomes a new species because of these modifications." He notes in a blog post, "We want to grow as a species and maybe change as a species. Whether that is curing disease or immortality or mutant powers is up to you."
This brings us back to Zayner's claim that he is working to democratize science.
The conviction that gene editing involves social and political challenges, not just technical matters, has been voiced at all points on the spectrum of perspective and uncertainty. But Zayner says there's been enough talk. "I want people to stop arguing about whether it's okay to use CRISPR or not use CRISPR….It's too late: I already made the choice for you. Argument over. Let's get on with it now. Let's use this to help people. Or to give people purple skin." (Emphasis added, in case there's any doubt about Zayner's commitment to democracy.)
With powerful new technologies increasingly shaping the world, there's a lot riding on our capacity to democratize science. But as a society we don't yet have much practice at it. In fact, we're not very sure what it would look like. It would clearly mean, as Arizona State University political scientist David Guston puts it, "considering the societal outcomes of research at least as attentively as the scientific and technological outputs." It would need broad participation and demand hard work.
The involvement of serious citizen scientists in such efforts, biohackers included, could be a very good thing. But Zayner's contributions to date have not been helpful.
[Ed. Note: Check out Zayner's perspective: "Genetic Engineering for All: The Last Great Frontier of Human Freedom." Then follow LeapsMag on social media to share your opinion.]
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.