Surprising origins for a rare cancer

It’s been enormously difficult to pinpoint the cause of many cancers — and many seem to have more than one origin. Fibrolamellar carcinoma (FLC), however, is one that scientists thought they had nailed down.
A rare and currently incurable disease that attacks the liver of children, adolescents, and young adults, FLC is caused when a small deletion in chromosome 19 causes the fusion of two genes, a discovery made in 2014 in the lab of Rockefeller’s Sanford M. Simon, whose own then-teenage daughter, Elana, had not only been diagnosed with liver disease a few years before, but was a lead on the team that found the fusion.
One gene is DNAJB1, which produces heat-shock proteins that encourage cell homeostasis, and the other is PRKACA, the generator of the catalytic subunit of protein kinase A (PKA), which is key to cellular metabolic function. Alteration in kinases, which modify many other molecules, have been implicated in driving many cancers.
For the past decade it was thought that this fusion created a Frankenstein-type change in PKA so that it wreaked havoc in the cell. Now researchers in Simon’s lab have made a surprising discovery: the fusion protein behaves just like a normal kinase. But cells containing an addition to their catalytic subunit generate the kinase in excessive amounts — which is the real culprit.
“It’s actually the overexpression of a protein called PKA that causes the cancer,” says first author Mahsa Shirani, a postdoctoral associate in the Laboratory of Cellular Biophysics, headed by Simon. “These findings have the potential to both reveal the pathways of a broad range of cancers and offer new treatment possibilities.”
The researchers published their results in Cancer Research.
A lack of inhibition
Shirani’s research has been aimed at a deeper understanding of the fused gene’s mechanics since her time as a Ph.D. student and teaching assistant in the lab of New Mexico State University biochemist Barbara Lyons, whose research into FLC was driven by her own son’s diagnosis with the disease. Like Elana Simon and numerous other patients, her son, Jackson Clark, put his life on hold to research the disease in the Simon lab. His first article from the lab was published last year. Clark passed away from FLC.

For the current study, Shirani analyzed tumor tissue samples from FLC patients using mass spectrometry, biochemistry, and immunofluorescence to quantify the level of the protein in patients’ tumor tissue. She also compared them to normal liver tissue.
Digging deeper, she found that the tumor cells have a molecular imbalance: an increased amount of catalytic proteins exceeds the number of inhibitory ones that normally tamp down and localize the former. This excess has two profound effects on the cell. One is that PKA activity amps up, unchecked. The other is that PKA is now free to move around the cell, wreaking havoc in spots that it usually cannot access, including the nucleus.
Shirani’s results indicate that the fact that the active catalytic subunit overrules its inhibitory components is what’s important, not a structural change in the kinase itself.
In testing this theory, the researchers found that they could recreate the disease in human liver cells just by increasing the amount of the normal kinase. They also found that some patients had a completely different gene fused to the front end of the same kinase, PRKACA, indicating that the actual cause of disease couldn’t be attributed to the extra piece added to the kinase.
“We showed that it doesn’t matter what you have fused to the PRKACA gene. It could be DNAJB1 or ATP1B1, or it could be nothing at all — just PRKACA that has a high protein expression,” she says. “Each situation leads to the same phenotype of cancer.”
The researchers corroborated their findings using a unique tool at their disposal. For the past decade, the Simon Lab has operated the Fibrolamellar Tissue Repository. When the researchers went back through their samples, they came across four patients who had what looked like fibrolamellar but did not have a fusion to PRKACA. Instead, the only alteration they found was a loss of the inhibitory protein, providing more evidence that the amount of catalytic subunit relative to its regulatory components was a key factor in disease formation.

Treatment horizon
The findings could potentially lead to the first therapeutic treatments for FLC beyond the surgical removal of tumors, says Shirani. (Treatments available to people with common liver cancer are useless for FLC, which has a completely different molecular profile.)
One idea is to locate binding sites on the DNAJB1 protein to which a drug inhibitor could bind. Another is tamping down the expression of PKA. The lab is currently investigating both possibilities.
The latter approach could have potential beyond FLC, Shirani says, because PKA dysregulation is connected to many other diseases. For example, the adrenal tumor that causes Cushing Syndrome is the result of a mutation in the very same catalytic subunit, PRKACA. (That discovery was made by Rockefeller President Richard P. Lifton in 2014.)
As with a potential FLC treatment, the key would be to interfere with signaling processes downstream of PKA’s production, before the geyser of protein production disrupts the cell.
Shirani also suggests that measuring protein levels produced by mutated genes may be a first step to better understanding any number of cancers: “Perhaps the increased level, or location, of proteins is itself the cause.”
The findings may also illuminate pathogenesis of disease in general — one of the many important reasons for investigating rare diseases, which are often viewed as insignificant since they affect so few people, says Simon.
“There are so many good reasons to study them,” he says. “Many rare diseases are very precisely characterized, making it possible to make rapid progress, and those results can often be generalized to common diseases. For example, we learned about the concept of ‘tumor suppressor’ from studying the rare childhood cancer retinoblastoma.”
“I also think that as we more precisely define diseases, we find that many that were thought to be single diseases are actually collections of different rare diseases that share some common characteristic or mechanism,” he adds.

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Blood test could predict Parkinson’s seven years before symptoms

A team of researchers, led by scientists at UCL and University Medical Center Goettingen, have developed a simple blood test that uses artificial intelligence (AI) to predict Parkinson’s up to seven years before the onset of symptoms.
Parkinson’s disease is the world’s fastest growing neurodegenerative disorder and currently affects nearly 10 million people across the globe.
The condition is a progressive disorder that is caused by the death of nerve cells in the part of the brain called the substantia nigra, which controls movement. These nerve cells die or become impaired, losing the ability to produce an important chemical called dopamine, due to the build-up of a protein alpha-synuclein.
Currently, people with Parkinson’s are treated with dopamine replacement therapy after they have already developed symptoms, such as tremor, slowness of movement and gait, and memory problems. But researchers believe that early prediction and diagnosis would be valuable for finding treatments that could slow or stop Parkinson’s by protecting the dopamine producing brain cells.
Senior author, Professor Kevin Mills (UCL Great Ormond Street Institute of Child Health), said: “As new therapies become available to treat Parkinson’s, we need to diagnose patients before they have developed the symptoms. We cannot regrow our brain cells and therefore we need to protect those that we have.
“At present we are shutting the stable door after the horse has bolted and we need to start experimental treatments before patients develop symptoms. Therefore, we set out to use state-of-the-art technology to find new and better biomarkers for Parkinson’s disease and develop them into a test that we can translate into any large NHS laboratory. With sufficient funding, we hope that this may be possible within two years.”
The research, published in Nature Communications, found that when a branch of AI called machine learning, analysed a panel of eight blood based biomarkers whose concentrations are altered in patients with Parkinson’s, it could provide a diagnosis with 100% accuracy.

The team then experimented to see whether the test could predict the likelihood that a person would go on to develop Parkinson’s.
They did this by analysing blood from 72 patients with Rapid Eye Movement Behaviour Disorder (iRBD). This disorder results in patients physically acting out their dreams without knowing it (having vivid or violent dreams). It is now known that about 75-80% of these people with iRBD will go on to develop a synucleinopathy (a type of brain disorder caused by the abnormal buildup of a protein called alpha-synuclein in brain cells) — including Parkinson’s.
When the machine learning tool analysed the blood of these patients it identified that 79% of the iRBD patients had the same profile as someone with Parkinson’s.
The patients were followed up over the course of ten years and the AI predictions have so far matched the clinical conversion rate — with the team correctly predicting 16 patients as going on to develop Parkinson’s and being able to do this up to seven years before the onset of any symptoms. The team are now continuing to follow up on those predicted to develop Parkinson’s, to further verify the accuracy of the test.
Co-first-author Dr Michael Bartl (University Medical Center Goettingen and Paracelsus-Elena-Klinik Kassel) who conducted the research from the clinical side alongside Dr Jenny Hällqvist (UCL Queen Square Institute of Neurology and National Hospital for Neurology & Neurosurgery), said: “By determining 8 proteins in the blood, we can identify potential Parkinson’s patients several years in advance. This means that drug therapies could potentially be given at an earlier stage, which could possibly slow down disease progression or even prevent it from occurring.
“We have not only developed a test, but can diagnose the disease based on markers that are directly linked to processes such as inflammation and degradation of non-functional proteins. So these markers represent possible targets for new drug treatments.”
Co-author, Professor Kailash Bhatia (UCL Queen Square Institute of Neurology and National Hospital for Neurology & Neurosurgery) and his team are currently examining the test’s accuracy by analysing samples from those in the population who are at high risk of developing Parkinson’s, for example those with mutations in particular genes such as ‘LRRK2’ or ‘GBA’ that cause Gaucher disease.

The team are also hoping to secure funding to create a simpler blood spot test where a drop of blood can be spotted on a card and posted to the lab to investigate if it can predict Parkinson’s disease even earlier than the seven years before the onset of symptoms in this study.
The research was funded by an EU Horizon 2020 grant, Parkinson’s UK, the National Institute for Health and Care Research GOSH Biomedical Research Centre (NIHR GOSH BRC), and the Szeben-Peto Foundation.
Professor David Dexter, Director of Research at Parkinson’s UK, said: “This research, co-funded by Parkinson’s UK, represents a major step forward in the search for a definitive and patient friendly diagnostic test for Parkinson’s. Finding biological markers that can be identified and measured in the blood is much less invasive than a lumbar puncture, which is being used more and more in clinical research.
“With more work, it may be possible that this blood based test could distinguish between Parkinson’s and other conditions that have some early similarities, such as Multiple Systems Atrophy or Dementia with Lewy Bodies.
“The findings add to an exciting flurry of recent activity towards finding a simple way to test for and measure Parkinson’s.”

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Doctors Test the Limits of What Obesity Drugs Can Fix

‘Obesity first’ doctors say they start with one pill, to treat obesity, and often find other chronic diseases, like rheumatoid arthritis, simply vanishLesa Walton suffered for years with rheumatoid arthritis. “It was awful,” said Ms. Walton, 57, who lives in Wenatchee, Wash. “I kept getting sicker and sicker.”She also had high blood pressure, and she was obese. Doctors told her to diet and exercise, which she did, to no avail.Then she found a doctor who prescribed Wegovy, one of the new obesity drugs. Not only did she lose more than 50 pounds, she said; her arthritis cleared up, and she no longer needed pills to lower her blood pressure.Her new doctor, Dr. Stefie Deeds, an internist and obesity medicine specialist in private practice in Seattle, said that Ms. Walton exemplifies a growing movement in obesity medicine.Proponents call it “obesity first.” The idea is to treat obesity with medications approved for that use. As obesity comes under control, they note, the patient’s other chronic diseases tend to improve or go away.“We are treating the medical condition of obesity and its related complications at the same time,” Dr. Deeds said.We are having trouble retrieving the article content.Please enable JavaScript in your browser settings.Thank you for your patience while we verify access. If you are in Reader mode please exit and log into your Times account, or subscribe for all of The Times.Thank you for your patience while we verify access.Already a subscriber? Log in.Want all of The Times? Subscribe.

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