Cancer
Study confirms clinical decision impact of genomic diagnostic test in breast cancer
A new study has revealed that the HER2DX diagnostics test impacts clinical decision making in early-stage HER2-positive breast cancer, leading to modifications in treatment plans.
Developed by Reveal Genomics, HER2DX was shown to impact treatment decisions in a cohort of 297 patients with stage I-III HER2+ breast cancer across multiple hospitals in Spain.
The primary findings reveal that HER2DX led to a modification in the treatment plan in 48.1 per cent of cases, with most changes (75.5 per cent) leading to a reduction in treatment intensity, reducing chemotherapy and/or anti-HER2 without compromising outcomes.
HER2DX also demonstrated strong predictive capability, accurately identifying patients with a higher likelihood of achieving a pathologic complete response (pCR [remission]).
Additionally, oncologists reported a significant increase in confidence when making treatment decisions based on HER2DX data.
Finally, the study also underscored the economic benefits of incorporating HER2DX into clinical practice, with healthcare cost savings when drug costs and type of vein access were taken into account.
Dr. Olga Martínez Sáez, breast medical oncologist at Clinic Barcelona Comprehensive Cancer Center and principal investigator of the study, said: “This study represents a significant step forward in personalised oncology. HER2DX enables physicians to make precision-guided decisions with greater confidence, improving patient care.”
Dr. Juan Miguel Cejalvo, breast medical oncologist at Hospital Clínico Universitario de Valencia/INCLIVA, and co-PI of the study, said: “These results confirm that HER2DX provides valuable information that can refine treatment strategies, allowing for more personalised care while maintaining excellent outcomes.”
Dr. Antonio Llombart-Cussac, head of the medical oncology department at Hospital Arnau de Vilanova in Valencia, and investigator of the study, highlighted the impact on clinical practice, said: “The capacity to forecast a patient’s therapeutic response prior to treatment initiation allows oncologists to adjust treatment intensity appropriately, effectively reducing unnecessary toxicity and healthcare costs.”
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Routine mammograms could help evaluate cardiovascular disease risk, study suggests
Routine mammograms could help assess cardiovascular disease risk in women, new research suggests.
The study found that both the severity of calcium in breast arteries and how it progressed on mammograms predicted future cardiovascular disease.
Researchers at Penn State College of Medicine analysed data from 10,348 women who had repeat mammograms, with an average of 4.1 years between scans.
The X-ray images can detect calcium in the breast’s arteries, a sign that blood vessels are stiffening.
As people age, calcium can build up in arteries, raising heart attack and stroke risk.
In the study, AI software assessed whether calcification was present and how severe it was.
Women with more severe calcification, and those whose calcification progressed over time, had up to two times higher risk of major events such as heart attack, stroke, heart failure and death.
Matthew Nudy is assistant professor of medicine and public health sciences at Penn State College of Medicine.
He said: “We know that women are more likely to be diagnosed at later stages of cardiovascular disease and have worse outcomes following a heart attack compared to men.
“That may be in part because the current cardiovascular risk assessment tools underestimate risk in women. We need better tools.
“In the future, assessment of breast arterial calcification may help improve our ability to predict risk and prevent cardiovascular disease.”
Vascular calcification was present in 19.4 per cent of participants at baseline.
Those who initially had no calcium but developed it on follow-up had a 41 per cent higher risk of an adverse cardiovascular event and death.
Nudy said: “This could be a way to use data that may already be available for different reason and to potentially use it to risk stratify an individual for the development of cardiovascular disease.”
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