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Cancer

AI-powered blood test first to spot earliest sign of breast cancer

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A new screening method that combines laser analysis with a type of AI is the first of its kind to identify patients in the earliest stage of breast cancer, a study suggests.

The fast, non-invasive technique reveals subtle changes in the bloodstream that occur during the initial phases of the disease, known as stage 1a, which are not detectable with existing tests.

The researchers say their new method could improve early detection and monitoring of the disease and pave the way for a screening test for multiple forms of cancer.

Standard tests for breast cancer can include a physical examination, x-ray or ultrasound scans or analysis of a sample of breast tissue, known as a biopsy. Existing early detection strategies rely upon screening people based on their age or if they are in at-risk groups.

Using the new method, researchers were able to spot breast cancer at the earliest stage by optimising a laser analysis technique – known as Raman spectroscopy – and combining it with machine learning, a form of AI.

Similar approaches have been trialled to screen for other types of cancer, but the earliest they could detect disease was at stage two, the team says.

The new technique works by first shining a laser beam into blood plasma taken from patients. The properties of the light after it interacts with the blood are then analysed using a device called a spectrometer to reveal tiny changes in the chemical make-up of cells and tissues, which are early indicators of disease.

A machine learning algorithm is then used to interpret the results, identifying similar features and helping to classify samples.

In the pilot study involving 12 samples from breast cancer patients and 12 healthy controls, the technique was 98 per cent effective at identifying breast cancer at stage 1a.

The test could also distinguish between each of the four main subtypes of breast cancer with an accuracy of more than 90 per cent, which could enable patients to receive more effective, personalised treatment, the team says.

Implementing this as a screening test would help identify more people in the earliest stages of breast cancer and improve the chances of treatment being successful, the team says. They aim to expand the work to involve more participants and include tests for early forms of other cancer types.

Blood samples used in the study were provided by the Northern Ireland Biobank and Breast Cancer Now Tissue Bank.

Dr Andy Downes, of the University of Edinburgh’s School of Engineering, who led the study, said: “Most deaths from cancer occur following a late-stage diagnosis after symptoms become apparent, so a future screening test for multiple cancer types could find these at a stage where they can be far more easily treated. Early diagnosis is key to long-term survival, and we finally have the technology required.

“We just need to apply it to other cancer types and build up a database, before this can be used as a multi-cancer test.”

Cancer

Common cholesterol drug shows ovarian cancer promise

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A common cholesterol drug could help weaken a fluid shield that helps ovarian cancer tumours survive, early lab findings suggest.

The findings do not show the drug treats ovarian cancer. But they suggest changing the environment the cancer depends on could make it more vulnerable to existing treatment.

A federally funded study at Duke University School of Medicine found that ascites, a build-up of fluid in the abdomen, may do more than cause discomfort.

Doctors can drain ascites to ease pain, improve mobility and make breathing easier, but the fluid may also help cancer cells survive and spread. It occurs in 90 per cent of people with advanced ovarian cancer.

According to the study, ascites acts as a shield, helping cancer cells evade ferroptosis, a form of cell death.

Ferroptosis is a kind of cellular rusting. It happens when iron inside a cell reacts with certain fats, causing the cell membrane to break apart.

Many metastatic cancer cells, meaning cells that float freely through the abdomen looking for new places to grow, are naturally vulnerable to this kind of damage.

“Doctors have mostly viewed ascites as a symptom rather than an active driver of disease,” said Jen-Tsan Chi, professor in the department of molecular genetics and microbiology and co-leader of the Cancer Biology Program at the Duke Cancer Institute.

“We’ve learned it gives cancer a survival advantage, which fills a major gap in understanding how ovarian cancer spreads.”

Scientists bathed cancer cell lines and patient-derived tumour cells in ascites collected from patients and watched how they responded to ferroptosis triggers.

The fluid protected cancer cells by changing how they store fats and control iron levels, effectively blocking cell death.

The protection required only trace amounts, with as little as 2 per cent immersion shielding cancer cells from destruction.

“What surprised us was how selective this effect was,” said Yasaman Setayeshpour, first author and graduate student in molecular genetics and microbiology at Duke School of Medicine.

“Ascites didn’t protect the cancer cells from other well-known types of cell death, like apoptosis or necrosis, it only blocked ferroptosis.

“To figure out why, we broke ascites down into major parts, like lipids, proteins, and small molecules, and tested what happened when each was removed.

“When we took the lipids out, the protective effect disappeared. That told us lipids are the key reason ascites helps these cancer cells survive.”

But researchers found an unexpected helper in bezafibrate, an older cholesterol drug used to lower triglycerides by altering how the body processes fats.

The cholesterol drug restored sensitivity to ferroptosis, but only when ascites was present. On its own, the drug did not trigger cell death or slow tumour growth in mice.

The drug’s impact depended on the cancer’s surroundings, in this case the fat-rich fluid bathing the tumour. Researchers found that targeting this environment, using repurposed drugs like bezafibrate, could leave cancer cells more exposed to existing cancer treatments.

Chi said the finding could have implications beyond ovarian cancer. Other cancers, including colorectal and pancreatic cancers, can also spread within the abdominal cavity.

“This work shows how much the environment around a tumour matters,” Chi said.

“Biological fluids like ascites don’t just give cancer cells a place to move. They actively help drive how cancer spreads.”

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Diagnosis

Artera receives FDA Clearance for breast cancer platform

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Artera has won FDA clearance for ArteraAI Breast, its breast cancer platform for patients with early-stage HR-positive, HER2-negative invasive breast cancer.

ArteraAI Breast is the first and only FDA-cleared digital pathology-based risk stratification tool for breast cancer.

These FDA milestones come alongside recent CE marking for both the ArteraAI Prostate Biopsy Assay and the ArteraAI Breast Cancer Assay in the US and Europe.

“FDA clearance for ArteraAI Breast represents a significant expansion of our FDA-cleared AI platform in oncology,” said Andre Esteva, chief executive and co-founder of Artera.

“This milestone reflects the growing role of our technology across multiple cancer types. Breast cancer care is highly nuanced, with treatment decisions that depend on individualised risk.

“Our goal remains consistent across prostate and breast cancer, and beyond: to help clinicians translate complex data into more precise, personalised treatment decisions across the cancer journey.”

ArteraAI Breast generates an AI-derived risk score showing the likelihood of distant metastasis, meaning cancer spreading to another part of the body, in patients with early-stage HR-positive, HER2-negative breast cancer.

Using digitised histopathology images, which are scanned tissue sample images, alongside patient clinical variables, the model sorts patients into low-risk and high-risk groups based on a predefined risk score cut-off.

In early-stage HR-positive, HER2-negative breast cancer, deciding the right intensity of treatment can be complex because clinical and pathological factors vary. Artera said the tool is designed to support clinicians within established decision-making frameworks.

Data presented at the 2025 San Antonio Breast Cancer Symposium evaluated the model in early-stage breast cancer and demonstrated the potential to inform chemotherapy benefit in certain patient populations.

“This clearance represents an important advance on the road to personalising treatments for patients with early-stage breast cancer,” said Eric Winer, medical oncologist and director of the Yale Cancer Center.

“Using AI and digital pathology has the potential to streamline operational workflows, while creating a strong interdisciplinary linkage between oncology and pathology. This approach may further improve the clinicians’ ability to help patients make the best treatment decisions.”

ArteraAI Breast is designed to integrate directly into standard pathology workflows using routine surgical resection samples, without requiring additional tissue or separate specimen collection.

This approach allows the software to provide same-day results, enabling pathology laboratories to give clinicians patient-specific prognostic risk information alongside standard histopathology reports.

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Diagnosis

Nurse celebrates role in trial that enhanced breast cancer surgery outcomes

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A nurse who works with breast cancer patients has spoken of her pride after joining a trial that improved breast cancer surgery after her own diagnosis.

Heidi Jones, a 53-year-old staff nurse on the surgical day unit at Basildon Hospital, is a mother of two from Corringham in Essex and works with breast cancer patients daily.

She was diagnosed with breast cancer in 2025, the day after her birthday. She told ITV News Anglia that she had jumped at the opportunity to take part in the trial.

“I said yes because we need to get out there about the advancements in treatment and in surgery and medicines,” she said.

“Cancer is a big thing, so whatever you can do to improve the treatment of the cancer, I was all for it.”

Mid and South Essex NHS Foundation Trust was one of two UK centres taking part in the trial, alongside 21 others across the US, Canada and Austria.

The trial involved using a breast cancer locator, or BCL, a customised 3D mould matched to the unique dimensions of the patient’s tumour and breast.

The BCL is then placed over the patient during surgery, giving teams more detailed guidance on the tumour’s shape, size and location.

Results found a 34 per cent reduction in the number of second surgeries needed, and a 32 per cent reduction in cases where cancer remained after surgery.

Surgeon Wayne Chicken said the new technique could have a big impact on some patients.

“I’ve been working in breast surgery for 25 years, and breast surgery has changed radically in those 25 years,” he said.

“Now we’re trying to do less and less, the minimum necessary to control the disease, rather than big procedures and potentially over-treat cancers. This is doing the minimum necessary to treat the cancer.”

This actually uses the information from the MRI scans to plan, so the impact is less surgery and more likely to get it right in a single operation.

Using the BCL system, Jones’s breast cancer surgery was a success, with the tumour removed completely.

“I do talk about things quite openly, and I use it now when the ladies are coming in. I’ll tell them I’ve gone through it,” she said.

“It just gives them that little bit more to let them know someone else has come through [treatment] and has come through the other side.

“I feel proud that I actually took part in it. I feel privileged to have taken part in it and been asked to do it.

“I’m extremely glad it’s been really successful as well. I was lucky, I class myself lucky.”

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