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News
Research highlights strong demand for data on personalised risk of preeclampsia
More than 90 per cent of the study participants desired predictive testing for preeclampsia
New research has highlighted significant demand for predictive testing for pregnancy complications like preeclampsia.
The study, published in BMC Pregnancy and Childbirth, has found that objective information about the risk of preeclampsia could be key to driving patient behaviour change and creates motivation among pregnant women to follow provider recommendations on prevention.
The research showed that 91 per cent of the study participants desired predictive testing for preeclampsia and 94 per cent reported they would want blood pressure monitoring at home if found to be at high risk.
Additionally, it found that 88 per cent of participants reported they would be more motivated to follow their provider’s medication recommendations if at high risk. This finding was consistent even for individuals who were hesitant to take medication at baseline.
Preeclampsia, a condition that manifests as high blood pressure which impacts eight per cent of pregnancies, is often silent until symptoms develop and requires emergency intervention, including the need for preterm delivery.
Currently, there is no way to predict who is most at-risk for developing complications like preeclampsia early in pregnancy. Women who experience preeclampsia during pregnancy are at increased risk for heart disease, stroke and premature death, and children who are born preterm are at increased risk for numerous challenges across their lifespan.
While there are medications like baby aspirin that have been shown to lower the risk of preeclampsia for high-risk individuals, reluctance to take aspirin remains a barrier.
“Evidence from other medical fields suggests that when patients know their personalised risk, they act on that information,” said Dr Alison Cowan, head of medical affairs at Mirvie and lead author of the study.
“This study translates insights from cardiology and personalised information on risk of heart disease to obstetrics for the first time. Patients are telling us that if they had objective testing to predict their risk of preeclampsia, it would meaningfully change the way they manage their pregnancies.”
While the present study focuses on the hypothetical availability of an objective test to predict preeclampsia, such testing for preeclampsia and other pregnancy complications could soon be available.
“Mirvie’s RNA platform focuses on the prediction of pregnancy complications, which is at the leading edge of what’s possible – addressing a huge unmet need in maternal health,” said Cowan.
“Being able to predict who is at highest risk of pregnancy complications presents a massive opportunity for patients to do everything possible to prevent preeclampsia.
“For physicians, it’s an important reminder that the toolbox isn’t empty when working with patients on prevention, especially if we can objectively identify who is at highest risk early in the pregnancy,” she added.
Diagnosis
Lung cancer drug shows breast cancer potential
Ovarian cancer cells quickly activate survival responses after PARP inhibitor treatment, and a lung cancer drug could help block this, research suggests.
PARP inhibitors are a common treatment for ovarian cancer, particularly in tumours with faulty DNA repair. They stop cancer cells fixing DNA damage, which leads to cell death, but many tumours later stop responding.
Researchers identified a way cancer cells may survive PARP inhibitor treatment from the outset, pointing to a potential way to block that response. A Mayo Clinic team found ovarian cancer cells rapidly switch on a pro-survival programme after exposure to PARP inhibitors. A key driver is FRA1, a transcription factor (a protein that turns genes on and off) that helps cancer cells adapt and avoid death.
The team then tested whether brigatinib, a drug approved for certain lung cancers, could block this response and boost the effect of PARP inhibitors. Brigatinib was chosen because it inhibits multiple signalling pathways involved in cancer cell survival.
In laboratory studies, combining brigatinib with a PARP inhibitor was more effective than either treatment alone. Notably, the effect was seen in cancer cells but not normal cells, suggesting a more targeted approach.
Brigatinib also appeared to act in an unexpected way. Rather than working through the usual DNA repair routes, it shut down two signalling molecules, FAK and EPHA2, that aggressive ovarian cancer cells rely on. FAK and EPHA2 are proteins that relay survival signals inside cells. Blocking both at once weakened the cells’ ability to adapt and resist treatment, making them more vulnerable to PARP inhibitors.
Tumours with higher levels of FAK and EPHA2 responded better to the drug combination. Other data link high levels of these molecules to more aggressive disease, pointing to potential benefit in harder-to-treat cases.
Arun Kanakkanthara, an oncology investigator at Mayo Clinic and a senior author of the study, said: “This work shows that drug resistance does not always emerge slowly over time; cancer cells can activate survival programmes very early after treatment begins.”
John Weroha, a medical oncologist at Mayo Clinic and a senior author of the study, said: “From a clinical perspective, resistance remains one of the biggest challenges in treating ovarian cancer. By combining mechanistic insights from Dr Kanakkanthara’s laboratory with my clinical experience, this preclinical work supports the strategy of targeting resistance early, before it has a chance to take hold. This strategy could improve patient outcomes.”
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