We Pioneered a Technology to Save Millions of Poor Children, But a Worldwide Smear Campaign Has Blocked It
In a few weeks it will be 20 years that we three have been working together. Our project has been independently praised as one of the most influential of all projects of the last 50 years.
Two of us figured out how to make rice produce a source of vitamin A, and the rice becomes a golden color instead of white.
The project's objectives have been admired by some and vilified by others. It has directly involved teams of highly motivated people from a handful of nations, from both the private and public sector. A book, dedicated to the three of us, has been written about our work. Nevertheless, success has, so far, eluded us all. The story of our thwarted efforts is a tragedy that we hope will soon – finally – reach a milestone of potentially profound significance for humanity.
So, what have we been working on, and why haven't we succeeded yet?
Food: everybody needs it, and many are fortunate enough to have enough, even too much of it. Food is a highly emotional subject on every continent and in every culture. For a healthy life our food has to provide energy, as well as, in very small amounts, minerals and vitamins. A varied diet, easily achieved and common in industrialised countries, provides everything.
But poor people in countries where rice is grown often eat little else. White rice only provides energy: no minerals or vitamins. And the lack of one of the vitamins, vitamin A, is responsible for killing around 4,500 poor children every day. Lack of vitamin A is the biggest killer of children, and also the main cause of irreversible childhood blindness.
Our project is about fixing this one dietary deficiency – vitamin A – in this one crop – rice – for this one group of people. It is a huge group though: half of the world's population live by eating a lot of rice every day. Two of us (PB & IP) figured out how to make rice produce a source of vitamin A, and the rice becomes a golden color instead of white. The source is beta-carotene, which the human body converts to vitamin A. Beta-carotene is what makes carrots orange. Our rice is called "Golden Rice."
The technology has been donated to assist those rice eaters who suffer from vitamin A deficiency ('VAD') so that Golden Rice will cost no more than white rice, there will be no restrictions on the small farmers who grow it, and nothing extra to pay for the additional nutrition. Very small amounts of beta-carotene will contribute to alleviation of VAD, and even the earliest version of Golden Rice – which had smaller amounts than today's Golden Rice - would have helped. So far, though, no small farmer has been allowed to grow it. What happened?
To create Golden Rice, it was necessary to precisely add two genes to the 30,000 genes normally present in rice plants. One of the genes is from maize, also known as corn, and the other from a commonly eaten soil bacterium. The only difference from white rice is that Golden Rice contains beta-carotene.
It has been proven to be safe to man and the environment, and consumption of only small quantities of Golden Rice will combat VAD, with no chance of overdosing. All current Golden Rice results from one introduction of these two genes in 2004. But the use of that method – once, 15 years ago - means that Golden Rice is a 'GMO' ('genetically modified organism'). The enzymes used in the manufacture of bread, cheese, beer and wine, and the insulin which diabetics take to keep them alive, are all made from GMOs too.
The first GMO crops were created by agri-business companies. Suspicion of the technology and suspicion of commercial motivations merged, only for crop (but not enzymes or pharmaceutical) applications of GMO technology. Activists motivated by these suspicions were successful in getting the 'precautionary principle' incorporated in an international treaty which has been ratified by 166 countries and the European Union – The Cartagena Protocol.
The equivalent of 13 jumbo jets full of children crashes into the ground every day and kills them all, because of vitamin A deficiency.
This protocol is the basis of national rules governing the introduction of GMO crops in every signatory country. Government regulators in, and for, each country must agree before a GMO crop can be 'registered' to be allowed to be used by the public in that country. Currently regulatory decisions to allow Golden Rice release are being considered in Bangladesh and the Philippines.
The Cartagena Protocol obliges the regulators in each country to consider all possible risks, and to take no account of any possible benefits. Because the anti-gmo-activists' initial concerns were principally about the environment, the responsibility for governments' regulation for GMO crops – even for Golden Rice, a public health project delivered through agriculture – usually rests with the Ministry of the Environment, not the Ministry of Health or the Ministry of Agriculture.
Activists discovered, before Golden Rice was created, that inducing fear of GMO food crops from 'multinational agribusinesses' was very good for generating donations from a public that was largely illiterate about food technology and production. And this source of emotionally charged donations would cease if Golden Rice was proven to save sight and lives, because Golden Rice represented the opposite of all the tropes used in anti-GMO campaigns.
Golden Rice is created to deliver a consumer benefit, it is not for profit – to multinational agribusiness or anyone else; the technology originated in the public sector and is being delivered through the public sector. It is entirely altruistic in its motivations; which activists find impossible to accept. So, the activists believed, suspicion against Golden Rice had to be amplified, Golden Rice had to be stopped: "If we lose the Golden Rice battle, we lose the GMO war."
Activism continues to this day. And any Environment Ministry, with no responsibility for public health or agriculture, and of course an interest in avoiding controversy about its regulatory decisions, is vulnerable to such activism.
The anti-GMO crop campaigns, and especially anti-Golden Rice campaigns, have been extraordinarily effective. If so much regulation by governments is required, surely there must be something to be suspicious about: 'There is no smoke without fire'. The suspicion pervades research institutions and universities, the publishers of scientific journals and The World Health Organisation, and UNICEF: even the most scientifically literate are fearful of entanglement in activist-stoked public controversy.
The equivalent of 13 jumbo jets full of children crashes into the ground every day and kills them all, because of VAD. Yet the solution of Golden Rice, developed by national scientists in the counties where VAD is endemic, is ignored because of fear of controversy, and because poor children's deaths can be ignored without controversy.
Perhaps more controversy lies in not taking scientifically based regulatory decisions than in taking them.
The tide is turning, however. 151 Nobel Laureates, a very significant proportion of all Nobel Laureates, have called on the UN, governments of the world, and Greenpeace to cease their unfounded vilification of GMO crops in general and Golden Rice in particular. A recent Golden Rice article commented, "What shocks me is that some activists continue to misrepresent the truth about the rice. The cynic in me expects profit-driven multinationals to behave unethically, but I want to think that those voluntarily campaigning on issues they care about have higher standards."
The recently published book has exposed the frustrating saga in simple detail. And the publicity from all the above is perhaps starting to change the balance of where controversy lies. Perhaps more controversy lies in not taking scientifically based regulatory decisions than in taking them.
But until they are taken, while there continues a chance of frustrating the objectives of the Golden Rice project, the antagonism will continue. And despite a solution so close at hand, VAD-induced death and blindness, and the misery of affected families, will continue also.
© The Authors 2019. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver applies to the data made available in this article, unless otherwise stated.
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.