Tag: 10/12/24

Cancer Risk Declines in Old Age – New Research Helps Explain Why

Photo by Matteo Vistocco on Unsplash

When it comes to cancer, aging is a double-edged sword, researchers are increasingly learning. Age is considered the most important risk factor for cancer, due to the buildup of genetic mutations over time.

Now a study from researchers at Memorial Sloan Kettering Cancer Center (MSK) and their collaborators provides new evidence about how advanced age can also be protective against cancer. The study, conducted in a mouse model of lung cancer, was published in Nature.

“We know that as people get older, they’re more likely to get cancer,” says study first author Xueqian Zhuang, PhD, postdoc in the lab of senior study author Tuomas Tammela, PhD. “But there’s still a lot that’s unknown about how aging actually changes the biology of cancer.”

As with many types of cancer, lung cancer is diagnosed in most people around age 70, Dr Zhuang says. But once you get to 80 or 85, the incidence rate starts to come down again.

“Our research helps show why,” she adds. “Aging cells lose their capacity for renewal and therefore for the runaway growth that happens in cancer.”

Overall, the findings have two key implications, the researchers say:

  • First, they point to the underappreciated role that iron plays in aging cells’ ability to regenerate — suggesting that therapies that target iron metabolism may work better in younger people than older ones.
  • Second, they underline the potential value of early intervention and prevention efforts, targeting the window when most cancers initiate.

Cells’ regeneration ability linked to iron metabolism

To investigate why cancer incidence peaks in the early senior years and then starts to decline again, the MSK research team studied a genetically modified mouse model of lung adenocarcinoma, a common type of lung cancer that accounts for about 7% of all cancer deaths worldwide.

One of the things that makes it challenging to study aging in laboratory models is that mice take two years to develop to an age that’s equivalent to 65–70 years in people. The scientists found that as the mice get older, they make more of a protein called NUPR1. More NUPR1 makes the cells in the lungs function as if they are iron deficient.

“The aging cells actually have more iron, but for reasons we don’t yet fully understand, they function like they don’t have enough,” Dr Zhuang says.

Since the cells in the older mice functioned as though they didn’t have enough iron, they lost some of their ability to regenerate. And because that regenerative capacity is directly linked to the rise of cancer, the older mice developed far fewer tumours than their younger counterparts.

Intriguingly, this effect could be reversed by giving the older mice additional iron or by reducing the amount of NUPR1 in their cells.

“We think this discovery may have some immediate potential to help people,” Dr. Tammela says. “Right now, millions of people, especially following the COVID-19 pandemic, live with insufficient lung function because their lungs didn’t fully heal from an infection, or for some other reason. Our experiments in mice showed that giving iron can help the lungs regenerate, and we have really good ways of delivering drugs directly to the lungs – like asthma inhalers.”

But this is also where the double-edged nature of the discovery comes into play. By restoring the ability of the cells in the lungs to regenerate, one is also increasing the tissue’s ability to develop cancer, the study showed.

“So this type of approach might not be appropriate for people who are at a high risk of developing cancer,” he adds.

Older and younger patients may respond differently to iron-metabolism targeting treatments

The team’s findings also have important implications for therapies based on a type of cell death called ferroptosis, which is triggered by iron. Ferroptosis was discovered in 2012, and there are a number of ferroptosis-inducing small molecule compounds, as well as drugs previously approved by the FDA, that are being investigated for their potential to kill cancer cells.

Older cells are far more resistant to ferroptosis than younger cells because they function as if they don’t have enough iron, the researchers found. This means treatments that target ferroptosis may not be as effective in older patients as they are in younger ones.

“One of the things that we showed exploring all of this iron biology is that ferroptosis is tumour suppressive, as everybody suspected – but much more profoundly in younger animals,” Dr Tammela says.

Dr Zhuang adds: “To us, this says that because the biology of cells changes with aging, the sensitivity to drugs also changes. So doctors might need to really be careful in clinical trials, for example, to look at the effects in both older and younger patients.”

And for Dr Tammela, the research ultimately has an even bigger takeaway.

“What our data suggests in terms of cancer prevention is that the events that occur when we’re young are probably much more dangerous than the events that occur later,” he says. “So, preventing young people from smoking, or from tanning, or from other obvious carcinogenic exposures are probably even more important than we thought.”

Source: Memorial Sloan Kettering Cancer Center

Bursts of Activity could Cut Heart Risk in Women

Photo by Teona Swift on Unsplash

An average of four minutes of incidental vigorous physical activity a day could almost halve the risk of major cardiovascular events, such as heart attacks, for middle-aged women who do not engage in structured exercise, according to new research from the University of Sydney, published in the British Journal of Sports Medicine.

“We found that a minimum of 1.5 minutes to an average of 4 minutes of daily vigorous physical activity, completed in short bursts lasting up to 1 minute, were associated with improved cardiovascular health outcomes in middle-aged women who do no structured exercise,” said lead author Professor Emmanuel Stamatakis, Director of the Mackenzie Wearable Hub at the Charles Perkins Centre and the Faculty of Medicine and Health.

High-intensity physical activity that forms part of a daily routine is known as “vigorous intermittent lifestyle physical activity” (VILPA). Physical activity is incidental such as walking to the shops, vs exercise, which is structured, eg going to the gym. Longer sessions of VILPA are linked to significantly lower cardiovascular disease risk.

The researchers say that, given fewer than 20% of middle-aged or older adults engage in regular structured exercise, engaging in VILPA could be a good alternative.

“Making short bursts of vigorous physical activity a lifestyle habit could be a promising option for women who are not keen on structured exercise or are unable to do it for any reason. As a starting point, it could be as simple as incorporating throughout the day a few minutes of activities like stair climbing, carrying shopping, uphill walking, playing tag with a child or pet, or either uphill or power walking,” said Professor Stamatakis.

The study drew on UK Biobank data from 22 368 participants (13 018 women) aged 40–79 who reported they did not engage in regular structured exercise and who wore physical activity trackers for almost 24 hours a day for 7 days.

Cardiovascular health was monitored through hospital and mortality records, tracking major adverse cardiovascular events (MACE), such as heart attack, stroke, and heart failure, until November 2022.

After adjusting for factors such as lifestyle, socioeconomic position, cardiovascular health, co-existing conditions, and ethnicity, the researchers found that the more VILPA women did, the lower their risk of a major cardiovascular event.

Women who averaged 3.4 minutes of VILPA daily were 45 percent less likely to experience a major cardiovascular event. They were also 51% less likely to have a heart attack and 67 percent less likely to develop heart failure than women who did no VILPA.

Even when amounts of daily VILPA were lower than 3.4 minutes they were still linked to lower cardiovascular event risk. A minimum of 1.2 to 1.6 minutes of VILPA per day was associated with a 30 percent lower risk of total major cardiovascular events, a 33 percent lower risk of heart attack, and a 40 percent lower risk of heart failure.

However, men reaped fewer benefits from tiny bursts of VILPA. Those who averaged 5.6 minutes daily were only 16% less likely to experience a major cardiovascular event compared with men who did none. A minimum of 2.3 minutes per day was associated with only an 11% risk reduction.

Professor Stamatakis said more testing was needed to understand how VILPA may improve cardiovascular health.

“To date, it hasn’t been clear whether short bursts of VILPA lower the risk of specific types of cardiovascular events, like heart attack or stroke. We aimed to identify minimum daily thresholds and feasible amounts for testing in community programs and future trials,” he said.

“Importantly, the beneficial associations we observed were in women who committed to short bursts of VILPA almost daily. This highlights the importance of habit formation, which is not always easy. VILPA should not be seen as a quick fix – there are no magic bullets for health. But our results show that even a little bit higher intensity activity can help and might be just the thing to help people develop a regular physical activity – or even exercise – habit,” he said.

For the purposes of this story, physical activity is incidental, eg carrying shopping or briefly power walking, and exercise is structured, eg going to the gym or playing sport.

Source: University of Sydney

Altered Gait after ACL Surgery Adds to More Knee Problems

Photo by Towfiqu barbhuiya

For people with an injured anterior cruciate ligament (ACL) in the knee, surgical ACL reconstruction (ACLR) is an effective treatment for restoring joint stability, however, many treated patients still develop additional long-term knee problems, such as knee osteoarthritis. New research published in the Journal of Orthopaedic Research reveals that individuals exhibit an altered gait after ACLR, which can contribute to these problems.

For the study, investigators compared gait biomechanics between the ACLR and uninjured limbs of 58 patients who underwent ACLR and 58 uninjured control individuals.

Although gait biomechanics became more symmetrical in patients with ACLR over the first 12 months post‐ACLR, the ACLR and uninvolved limbs demonstrated persistent aberrant gait biomechanics compared with the uninjured control individuals.

“A persistent aberrant gait pattern following ACLR, like that observed in our study, can induce joint loads that may contribute to further long-term knee joint problems,” said corresponding author Christin Büttner, MS, of the University of North Carolina at Chapel Hill. Implementing early rehabilitative measures to normalise gait following ACLR could help to maintain long-term knee joint health in both the injured and uninjured limb.”

Source: Wiley

Analysis of Repeat Mammograms Improves Cancer Prediction

Photo by National Cancer Institute on Unsplash

A new study describes an innovative method of analysing mammograms that significantly improves the accuracy of predicting the risk of breast cancer development over the following five years. Using up to three years of previous mammograms, the new method identified individuals at high risk of developing breast cancer 2.3 times more accurately than the standard method, which is based on questionnaires assessing clinical risk factors alone, such as age, race and family history of breast cancer.

The study, from Washington University School of Medicine in St. Louis, appears in JCO Clinical Cancer Informatics.

“We are seeking ways to improve early detection, since that increases the chances of successful treatment,” said senior author Graham A. Colditz, MD, DrPH, associate director, prevention and control, of Siteman Cancer Center, based at Barnes-Jewish Hospital and WashU Medicine. “This improved prediction of risk also may help research surrounding prevention, so that we can find better ways for women who fall into the high-risk category to lower their five-year risk of developing breast cancer.”

This risk-prediction method builds on past research led by Colditz and lead author Shu (Joy) Jiang, PhD, a statistician, data scientist and associate professor at WashU Medicine. The researchers showed that prior mammograms hold a wealth of information on early signs of breast cancer development that can’t be perceived even by a well-trained human eye. This information includes subtle changes over time in breast density, which is a measure of the relative amounts of fibrous versus fatty tissue in the breasts.

For the new study, the team built an algorithm based on artificial intelligence that can discern subtle differences in mammograms and help identify those women at highest risk of developing a new breast tumour over a specific timeframe. In addition to breast density, their machine-learning tool considers changes in other patterns in the images, including in texture, calcification and asymmetry within the breasts.

“Our new method is able to detect subtle changes over time in repeated mammogram images that are not visible to the eye,” said Jiang, yet these changes hold rich information that can help identify high-risk individuals.

At the moment, risk-reduction options are limited and can include drugs such as tamoxifen that lower risk but may have unwanted side effects. Most of the time, women at high risk are offered more frequent screening or the option of adding another imaging method, such as an MRI, to try to identify cancer as early as possible.

“Today, we don’t have a way to know who is likely to develop breast cancer in the future based on their mammogram images,” said co-author Debbie L. Bennett, MD, an associate professor of radiology and chief of breast imaging for the Mallinckrodt Institute of Radiology at WashU Medicine. “What’s so exciting about this research is that it indicates that it is possible to glean this information from current and prior mammograms using this algorithm. The prediction is never going to be perfect, but this study suggests the new algorithm is much better than our current methods.”

AI improves prediction of breast cancer development

The researchers trained their machine-learning algorithm on the mammograms of more than 10 000 women who received breast cancer screenings through Siteman Cancer Center from 2008–2012. These individuals were followed through 2020, and in that time 478 were diagnosed with breast cancer.

The researchers then applied their method to predict breast cancer risk in a separate set of 18 000 women who received mammograms from 2013–2020. Subsequently, 332 women were diagnosed with breast cancer during the follow-up period, which ended in 2020.

According to the new prediction model, women in the high-risk group were 21 times more likely to be diagnosed with breast cancer over the following five years than were those in the lowest-risk group. In the high-risk group, 53 out of every 1000 women screened developed breast cancer over the next five years. In contrast, in the low-risk group, 2.6 women per 1000 screened developed breast cancer over the following five years. Under the old questionnaire-based methods, only 23 women per 1000 screened were correctly classified in the high-risk group, providing evidence that the old method, in this case, missed 30 breast cancer cases that the new method found.

The mammograms were conducted at academic medical centres and community clinics, demonstrating that the accuracy of the method holds up in diverse settings. Importantly, the algorithm was built with robust representation of Black women, who are usually underrepresented in development of breast cancer risk models. The accuracy for predicting risk held up across racial groups. Of the women screened through Siteman, most were white, and 27% were Black. Of those screened through Emory, 42% were Black.

Source: Washington University School of Medicine in St. Louis