Society Needs Regulations to Prevent Research Abuses
[Editor's Note: Our Big Moral Question this month is, "Do government regulations help or hurt the goal of responsible and timely scientific innovation?"]
Government regulations help more than hurt the goal of responsible and timely scientific innovation. Opponents might argue that without regulations, researchers would be free to do whatever they want. But without ethics and regulations, scientists have performed horrific experiments. In Nazi concentration camps, for instance, doctors forced prisoners to stay in the snow to see how long it took for these inmates to freeze to death. These researchers also removed prisoner's limbs in order to try to develop innovations to reconnect these body parts, but all the experiments failed.
Researchers in not only industry, but also academia have violated research participants' rights.
Due to these atrocities, after the war, the Nuremberg Tribunal established the first ethical guidelines for research, mandating that all study participants provide informed consent. Yet many researchers, including those in leading U.S. academic institutions and government agencies, failed to follow these dictates. The U.S. government, for instance, secretly infected Guatemalan men with syphilis in order to study the disease and experimented on soldiers, exposing them without consent to biological and chemical warfare agents. In the 1960s, researchers at New York's Willowbrook State School purposefully fed intellectually disabled children infected stool extracts with hepatitis to study the disease. In 1966, in the New England Journal of Medicine, Henry Beecher, a Harvard anesthesiologist, described 22 cases of unethical research published in the nation's leading medical journals, but were mostly conducted without informed consent, and at times harmed participants without offering them any benefit.
Despite heightened awareness and enhanced guidelines, abuses continued. Until a 1974 journalistic exposé, the U.S. government continued to fund the now-notorious Tuskegee syphilis study of infected poor African-American men in rural Alabama, refusing to offer these men penicillin when it became available as effective treatment for the disease.
In response, in 1974 Congress passed the National Research Act, establishing research ethics committees or Institutional Review Boards (IRBs), to guide scientists, allowing them to innovate while protecting study participants' rights. Routinely, IRBs now detect and prevent unethical studies from starting.
Still, even with these regulations, researchers have at times conducted unethical investigations. In 1999 at the Los Angeles Veterans Affairs Hospital, for example, a patient twice refused to participate in a study that would prolong his surgery. The researcher nonetheless proceeded to experiment on him anyway, using an electrical probe in the patient's heart to collect data.
Part of the problem and consequent need for regulations is that researchers have conflicts of interest and often do not recognize ethical challenges their research may pose.
Pharmaceutical company scandals, involving Avandia, and Neurontin and other drugs, raise added concerns. In marketing Vioxx, OxyContin, and tobacco, corporations have hidden findings that might undercut sales.
Regulations become increasingly critical as drug companies and the NIH conduct increasing amounts of research in the developing world. In 1996, Pfizer conducted a study of bacterial meningitis in Nigeria in which 11 children died. The families thus sued. Pfizer produced a Nigerian IRB approval letter, but the letter turned out to have been forged. No Nigerian IRB had ever approved the study. Fourteen years later, Wikileaks revealed that Pfizer had hired detectives to find evidence of corruption against the Nigerian Attorney General, to compel him to drop the lawsuit.
Researchers in not only industry, but also academia have violated research participants' rights. Arizona State University scientists wanted to investigate the genes of a Native American group, the Havasupai, who were concerned about their high rates of diabetes. The investigators also wanted to study the group's rates of schizophrenia, but feared that the tribe would oppose the study, given the stigma. Hence, these researchers decided to mislead the tribe, stating that the study was only about diabetes. The university's research ethics committee knew the scientists' plan to study schizophrenia, but approved the study, including the consent form, which did not mention any psychiatric diagnoses. The Havasupai gave blood samples, but later learned that the researchers published articles about the tribe's schizophrenia and alcoholism, and genetic origins in Asia (while the Havasupai believed they originated in the Grand Canyon, where they now lived, and which they thus argued they owned). A 2010 legal settlement required that the university return the blood samples to the tribe, which then destroyed them. Had the researchers instead worked with the tribe more respectfully, they could have advanced science in many ways.
Part of the problem and consequent need for regulations is that researchers have conflicts of interest and often do not recognize ethical challenges their research may pose.
Such violations threaten to lower public trust in science, particularly among vulnerable groups that have historically been systemically mistreated, diminishing public and government support for research and for the National Institutes of Health, National Science Foundation and Centers for Disease Control, all of which conduct large numbers of studies.
Research that has failed to follow ethics has in fact impeded innovation.
In popular culture, myths of immoral science and technology--from Frankenstein to Big Brother and Dr. Strangelove--loom.
Admittedly, regulations involve inherent tradeoffs. Following certain rules can take time and effort. Certain regulations may in fact limit research that might potentially advance knowledge, but be grossly unethical. For instance, if our society's sole goal was to have scientists innovate as much as possible, we might let them stick needles into healthy people's brains to remove cells in return for cash that many vulnerable poor people might find desirable. But these studies would clearly pose major ethical problems.
Research that has failed to follow ethics has in fact impeded innovation. In 1999, the death of a young man, Jesse Gelsinger, in a gene therapy experiment in which the investigator was subsequently found to have major conflicts of interest, delayed innovations in the field of gene therapy research for years.
Without regulations, companies might market products that prove dangerous, leading to massive lawsuits that could also ultimately stifle further innovation within an industry.
The key question is not whether regulations help or hurt science alone, but whether they help or hurt science that is both "responsible and innovative."
We don't want "over-regulation." Rather, the right amount of regulations is needed – neither too much nor too little. Hence, policy makers in this area have developed regulations in fair and transparent ways and have also been working to reduce the burden on researchers – for instance, by allowing single IRBs to review multi-site studies, rather than having multiple IRBs do so, which can create obstacles.
In sum, society requires a proper balance of regulations to ensure ethical research, avoid abuses, and ultimately aid us all by promoting responsible innovation.
[Ed. Note: Check out the opposite viewpoint here, and follow LeapsMag on social media to share your perspective.]
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.