The First Cloned Monkeys Provoked More Shrugs Than Shocks
A few months ago, it was announced that not one, but two healthy long-tailed macaque monkeys were cloned—a first for primates of any kind. The cells were sourced from aborted monkey fetuses and the DNA transferred into eggs whose nuclei had been removed, the same method that was used in 1996 to clone "Dolly the Sheep." Two live births, females named Zhong Zhong and Hua Hua, resulted from 60 surrogate mothers. Inefficient, it's true. But over time, the methods are likely to be improved.
The scientist who supervised the project predicts that cloning, along with gene editing, will result in "ideal primate models" for studying disease mechanisms and drug screening.
Dr. Gerald Schatten, a famous would-be monkey cloner, authored a controversial paper in 2003 describing the formidable challenges to cloning monkeys and humans, speculating that the feat might never be accomplished. Now, some 15 years later, that prediction, insofar as it relates to monkeys, has blown away.
Zhong Zhong and Hua Hua were created at the Chinese Academy of Science's Institute of Neuroscience in Shanghai. The Institute founded in 1999 boasts 32 laboratories, expanding to 50 labs in 2020. It maintains two non-human primate research facilities.
The founder and director, Dr. Mu-ming Poo, supervised the project. Poo is an extremely accomplished senior researcher at the pinnacle of his field, a distinguished professor emeritus in Biology at UC Berkeley. In 2016, he was awarded the prestigious $500,000 Gruber Neuroscience Prize. At that time, Poo's experiments were described by a colleague as being "innovative and very often ingenious."
Poo maintains the reputation of studying some of the most important questions in cellular neuroscience.
But is society ready to accept cloned primates for medical research without the attendant hysteria about fears of cloned humans?
By Western standards, use of non-human primates in research focuses on the welfare of the animal subjects. As PETA reminds us, there is a dreadful and sad history of mistreatment. Dr. Poo assures us that his cloned monkeys are treated ethically and that the Institute is compliant with the highest regulatory standards, as promulgated by the U.S. National Institutes of Health.
He presents the noblest justifications for the research. He predicts that cloning, along with gene editing, will result in "ideal primate models" for studying disease mechanisms and drug screening. He declares that this will eventually help to solve Parkinson's, Huntington's and Alzheimer's disease.
But is society ready to accept cloned primates for medical research without the attendant hysteria about fears of cloned humans? It appears so.
While much of the news coverage expressed this predictable worry, my overall impression is that the societal response was muted. Where was the expected outrage? Then again, we've come a long way since Dolly the Sheep in terms of both the science and the cultural acceptance of cloning. Perhaps my unique vantage point can provide perspective on how much attitudes have evolved.
Perhaps my unique vantage point can provide perspective on how much attitudes have evolved.
I sometimes joke that I am the world's only human cloning lawyer—a great gig but there are still no clients.
I first crashed into the cloning scene in 2002 when I sued the so-called human cloning company "Clonaid" and asked in court to have a temporary guardian appointed for the alleged first human clone "Baby Eve." The claim needed to be tested, and mine was the first case ever aiming to protect the rights of a human clone. My legal basis was child welfare law, protecting minors from abuse, negligence, and exploitation.
The case had me on back-to-back global television broadcasts around the world; there was live news and "breathless" coverage at the courthouse emblazoned in headlines in every language on the planet. Cloning was, after all, perceived as a species-altering event: asexual reproduction. The controversy dominated world headlines for month until Clonaid's claim was busted as the "fakest" of fake news.
Fresh off the cloning case, the scientific community reached out to me, seeing me as the defender of legitimate science, an opponent of cloning human babies but a proponent of using cloning techniques to accelerate ethical regenerative medicine and embryonic stem cell research in general.
The years 2003 to 2006 were the era of the "stem cell wars" and a dominant issue was human cloning. Social conservative lawmakers around the world were seeking bans or criminalization not only of cloning babies but also the cloning of cells to match the donor's genetics. Scientists were being threatened with fines and imprisonment. Human cloning was being challenged in the United Nations with the United States backing a global treaty to ban and morally condemn all cloning -- including the technique that was crucial for research.
Scientists and patients were touting the cloning technique as a major biomedical breakthrough because cells could be created as direct genetic matches from a specific donor.
At the same time, scientists and patients were touting the cloning technique as a major biomedical breakthrough because cells could be created as direct genetic matches from a specific donor.
So my organization organized a conference at UN headquarters to defend research cloning and all the big names in stem cell research were there. We organized petitions to the UN and faxed 35,000 signatures to the country mission. These ongoing public policy battles were exacerbated in part because of the growing fear that cloning babies was just around the corner.
Then in 2005, the first cloned dog stunned the world, an Afghan hound named Snuppy. I met him when I visited the laboratories of Professor Woo Suk Hwang in Korea. His minders let me hold his leash -- TIME magazine's scientific breakthrough of the year. He didn't lick me or even wag his tail; I figured he must not like lawyers.
Tragically, soon thereafter, I witnessed firsthand Dr. Hwang's fall from grace when his human stem cell cloning breakthroughs proved false. The massive scientific misconduct rocked the nation of Korea, stem cell science in general, and provoked terrible news coverage.
Nevertheless, by 2007, the proposed bans lost steam, overridden by the advent of a Japanese researcher's Nobel Prize winning formula for reprogramming human cells to create genetically matched cell lines, not requiring the destruction of human embryos.
After years of panic, none of the recent cloning headlines has caused much of a stir.
Five years later, when two American scientists accomplished therapeutic human cloned stem cell lines, their news was accepted without hysteria. Perhaps enough time had passed since Hwang and the drama was drained.
In the just past 30 days we have seen more cloning headlines. Another cultural icon, Barbara Streisand, revealed she owns two cloned Coton de Tulear puppies. The other weekend, the television news show "60 Minutes" devoted close to an hour on the cloned ponies used at the top level of professional polo. And in India, scientists just cloned the first Assamese buffalo.
And you know what? After years of panic, none of this has caused much of a stir. It's as if the future described by Alvin Toffler in "Future Shock" has arrived and we are just living with it. A couple of cloned monkeys barely move the needle.
Perhaps it is the advent of the Internet and the overall dilution of wonder and outrage. Or maybe the muted response is rooted in popular culture. From Orphan Black to the plotlines of dozens of shows and books, cloning is just old news. The hand-wringing discussions about "human dignity" and "slippery slopes" have taken a backseat to the AI apocalypse and Martian missions.
We humans are enduring plagues of dementia and Alzheimer's, and we will need more monkeys. I will take mine cloned, if it will speed progress.
Personally, I still believe that cloned children should not be an option. Child welfare laws might be the best deterrent.
The same does not hold for cloning monkey research subjects. Squeamishness aside, I think Zhong Zhong and Hua Hua will soon be joined by a legion of cloned macaques and probably marmosets.
We humans are enduring plagues of dementia and Alzheimer's, and we will need more monkeys. I will take mine cloned, if it will speed the mending of these consciousness-destroying afflictions.
Scientific revolutions once took centuries, then decades, and now seem to bombard us daily. The convergence of technologies has accelerated the future. To Zhong Zhong and Hua Hua, my best wishes with the hope that their sacrifices will contribute to the health of all primates -- not just humans.
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.