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The start-up on a mission to transform metastatic breast cancer management

More than two million women globally were diagnosed with breast cancer in 2022 alone

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One in eight women in the US will be diagnosed with breast cancer in their lifetime and one in 39 will die from it. Could this start-up have the solution?

Nine years ago, Hollywood actress Angelina Jolie announced in a New York Times op-ed that she’d decided to go public about her elective double mastectomy to “encourage every woman” to think about their own risk of breast cancer.

The article went viral and increased breast cancer awareness around the globe, leading to the so-called “Jolie effect”.

But while campaigns like this have changed the way we talk about breast cancer, they haven’t translated into better patient outcomes.

The World Health Organisation revealed that in 2022 the “burden of breast cancer” caused 670,000 deaths globally.

In the UK, one woman is diagnosed with breast cancer every 10 minutes, leading to nearly 1,000 deaths each month.

Survival rates have indeed improved in many parts of the world and diagnostic methods have come a long way in identifying a tumour’s molecular profile. However, questions remain when it comes to choosing the most effective treatment combination for a particular tumour or patient.

“Oncologists consider multiple factors to determine the treatment strategy: the patient profile, the clinical tumour stage, the pathological tumour grade, the molecular tumour profile, treatment guidelines and study results, and patient-specific contra- indications,” Wolfgang Hackl, translational oncology scientist and founder and CEO of OncoGenomX, tells Femtech World.

“But there is nothing to assess whether a certain treatment works in a specific tumour. Oncologists can only be certain about that after the entire treatment journey, which can take months, sometimes years.”

Without a tool to support clinical decision-making, doctors turn to risk-adapted approaches, extending moderate therapies for low-risk cancers and intensive therapies for high-risk cancers. But this doesn’t solve the problem, says Hackl.

“Many patients are still over-treated for fear of being under-treated,” the founder explains.

“In breast cancer, about 60 per cent of women receiving treatment are over-treated. These patients end up having side effects which means they have to stop treatment. When they stop treatment, they are at risk of recurrence.

“This applies to under-treatment too. Under-treating and over-treating patients can both lead to sub-optimal treatment.”

The solution, however, could be closer that we might expect. PredictionStar, a decision support technology developed by Hackl and his team at OncoGenomX, could potentially transform breast cancer drug development, diagnosis and outcomes, facilitating individualised therapeutic decisions at any stage of the disease trajectory.

Wolfgang Hackl, founder and CEO of OncoGenomX

The tool, which uses AI and machine learning algorithms, identifies whether a certain therapy works in a particular tumour and finds the treatments proven to be the most effective for each patient and their specific tumour.

“It harnesses four patent-pending core technologies,” says Hackl.

“The first technology is an innovative tumour profiling test, the second one is an individualised prediction model, the third one is a digitalisation tool for information sharing without migrating patient data and the fourth one is a reinforcement technology, which helps the algorithm learn from treatment decisions.”

As far as tumour gene tests are concerned, PredictionStar works with standard, unsupervised, or commercial target gene panels, not only expanding their scope but also raising the applicability of test results from an average 65 per cent to more than 80 per cent.

For the first time, Hackl says, oncologists will be able to understand which treatment combination will work the best for a patient and their tumour.

“PredictionStar takes away the uncertainty around breast cancer treatment decisions and increases the likelihood of opting for the most effective treatment combination without delay and without exposing the patient to the side effects of an ineffective treatment.

“The whole technology is designed as an instrument agnostic which can work with any other existing technologies to allow for seamless interactions, irrespective of the systems that already exist in hospitals.”

The fascinating part is that the tool has a feedback loop which means the technology improves, the more information it gets, refining its therapy guidance.

“This is dramatic if you think about it,” says Hackl. “The US, UK and European countries spend hundreds of billions on cancer treatment every year.

“However, data shows that in cancer R&D, the clinical failure rate is about 30 per cent, which means that one out of three phase three clinical studies fails.

“This is a problem because this is the part of the development which generates 70 per cent of the development cost. Based on the data we have, we believe PredictionStar could reduce treatment expenses by at least 20 per cent.”

At a time when healthcare budgets are being squeezed, this reduction would be significant.

“We tend to believe that healthcare costs are a problem of the poor economies, but richer countries struggle with high healthcare costs too,” Hackl points out.

“This is something that has become very clear in recent years. The way healthcare costs are incrementally increasing over time is not sustainable and needs to be addressed.”

With such impressive capabilities, it seems to be only a matter of time before the availability of robust patient data sets extends the scope of PredictionStar to other cancer types. Hackl doesn’t rule this out.

“Currently, we are focusing on breast cancer, but we are intending to roll this out in other cancer entities,” he says.

If everything goes according to plan, PredictionStar could be ready for use in clinical and translational studies in the next 15-18 months, the founder adds.

“OncoGenomX’s data on file suggest that PredictionStar is leading the game and we have good reasons to believe that it has significant potential to improve clinical and economic outcomes beyond today’s achievements.”

Diagnosis

The hidden cost of “business as usual” in gynecologic surgery

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A Common Surgery with Outsized Consequences

Hysterectomy and myomectomy are among the most frequently performed surgeries worldwide.

Minimally invasive and robotic approaches have delivered clear benefits at the point of care, including shorter hospital stays, faster recovery, and fewer complications.

To remove the uterus or fibroids through small incisions, surgeons use a technique known as morcellation, in which tissue is cut into smaller pieces for extraction during surgery.

However, when tissue is cut without containment, those short-term gains can be offset by downstream harm.

The risks fall into three interconnected categories:

  • dissemination of undiagnosed malignancy
  • spread of benign tissue, including endometriosis and parasitic fibroids
  • legal and financial exposure linked to off-label device use

Crucially, these costs often surface years after the original procedure and rarely where the original cost savings were realized.

Cancer Dissemination: A Known and Preventable Risk

The risk of occult uterine malignancy in women undergoing surgery for presumed benign fibroids is well documented.

The U.S. Food and Drug Administration has estimated this risk at approximately 1 in 350 women, prompting repeated safety communications recommending tissue containment during morcellation.

When morcellation is performed without containment, undiagnosed cancer will be dispersed throughout the abdominal cavity, effectively upstaging disease from localised to disseminated.

The clinical implications are profound, and so are the economic consequences.

Treatment costs for early-stage uterine cancer typically range from $40,000 to $60,000. Once disease becomes disseminated, costs can exceed $150,000 to $300,000, excluding indirect costs such as lost productivity, long-term disability, and caregiver burden.

Beyond treatment expenses, litigation related to morcellation-associated cancer spread has resulted in multi-million-dollar settlements, particularly during the power morcellation litigation wave of the mid-2010s. Several cases explicitly tied disease progression to tissue dissemination during surgery.

From a system perspective, a single preventable dissemination event can negate the cost savings of hundreds of minimally invasive procedures.

Benign Tissue Seeding: The Long Tail of Surgical Cost

Cancer is not the only concern.

Uncontained morcellation has also been associated with the spread of benign tissue, including parasitic fibroids and iatrogenic endometriosis, conditions that may present years after the index surgery.

Endometriosis alone represents one of the most expensive chronic gynecologic conditions. Multiple health economic studies estimate annual per-patient costs of $12,000 to $16,000, with lifetime costs exceeding $100,000, driven by repeat surgeries, chronic pain management, hormonal therapy, and fertility interventions.

While the financial impact may surface years later, downstream harm is increasingly traced back to the index procedure, including the choice between FDA-cleared containment and off-label alternatives used during tissue extraction.

Off-Label Use and the Quiet Accumulation of Liability

One of the least visible, but most consequential, dimensions of morcellation risk lies in off-label device use.

Many tissue bags currently used during morcellation are not FDA-cleared for prevention of tissue spillage during organ cutting and removal. While off-label use is common in medicine, it carries distinct legal and financial implications when complications occur.

Risk management guidance from MedPro Group, one of the largest medical malpractice insurers in the United States, has repeatedly warned that off-label use increases professional liability exposure in three key ways:

1. Burden of justification

When an FDA-cleared alternative exists, the legal burden shifts to the surgeon to prove that off-label use met the standard of care.

2. Informed consent vulnerability

Standard consent language may be insufficient for off-label device use, increasing exposure to failure-to-warn claims if complications arise.

3. Changed liability dynamics

Off-label use alters traditional liability dynamics, increasing scrutiny on clinical decision-making at the hospital and surgeon level.

Legal scholarship published in Clinical Orthopaedics and Related Research has echoed these concerns, noting that courts increasingly allow off-label status to be considered in malpractice cases, particularly when patient harm occurs and safer alternatives were available.

Recent U.S. court decisions have further reinforced that while off-label use is generally permitted, it is not immune from civil liability and, in rare but serious circumstances, criminal consequences when tied to demonstrable patient harm.

FDA Guidance Exists, Adoption Lags Behind

Regulatory expectations around morcellation are no longer ambiguous. The FDA has consistently called for tissue containment during tissue cutting to mitigate the risks of cancer and tissue dissemination.

Yet real-world adoption remains inconsistent.

A 2025 survey reported by News-Medical found widespread gaps in safe tissue containment during laparoscopic gynecologic surgery.

Respondents cited variability in training, institutional protocols, and access to FDA-cleared containment systems. Many surgeons reported reliance on improvised or non-cleared solutions despite growing awareness of regulatory and legal risk.

The result is a widening gap between guidance and practice, one that is increasingly visible to regulators, insurers, and hospital leadership.

Who Ultimately Pays?

The economic impact of uncontained morcellation does not fall on a single stakeholder.

  • Hospitals face litigation exposure, rising malpractice premiums, re-operations, and reputational risk.
  • Surgeons shoulder personal liability, heightened scrutiny around informed consent, and evolving standards of care.
  • Payers absorb downstream oncology costs, chronic disease management, and repeat interventions.
  • Patients bear the heaviest burden, including preventable morbidity, fertility loss, financial toxicity, and erosion of trust.

Taken together, these costs far exceed the price of prevention.

From Clinical Risk to Market Response

This growing recognition of risk has begun to reshape the market.

Before regulatory scrutiny intensified, power morcellation was widely adopted because it saved time, reduced operating room burden, and supported high procedural throughput.

It represented a multi-billion-dollar global market, supported by major surgical device manufacturers and deeply embedded in minimally invasive gynecologic practice.

The withdrawal of power morcellation from many hospitals did not eliminate the clinical need for efficient tissue extraction. Instead, it created a prolonged gap between surgical efficiency and acceptable risk.

That gap is now beginning to close.

With the emergence of FDA-cleared tissue containment systems designed specifically for morcellation, hospitals are reassessing whether power morcellation can be responsibly reintroduced in a manner aligned with regulatory guidance, patient safety, and liability mitigation.

This has significant implications for operating room efficiency, surgeon ergonomics, and system-wide cost management.

One example is Ark Surgical, a U.S.-focused surgical technology company advancing safety-first approaches to tissue extraction.

Its double-wall, airbag-like LapBox containment chamber was developed to support FDA-aligned morcellation while integrating into existing laparoscopic workflows, an increasingly important consideration as hospitals evaluate not just procedural efficiency, but long-term risk exposure.

Ark Surgical is currently in an active investment round, reflecting broader investor interest in technologies that address regulatory-driven risk while unlocking previously constrained markets.

More broadly, capital is flowing toward solutions that make it possible to restore clinical efficiency without reintroducing legacy risk.

The Cost Question Is No Longer “If,” but “When”

Healthcare systems already absorb the cost of uncontained morcellation through litigation, chronic disease management, repeat interventions, and loss of trust.

What has changed is visibility.

As clinical data, regulatory expectations, and market solutions converge, the question is no longer whether containment matters, but whether healthcare systems can afford to continue treating it as optional.

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Innovation cuts ovarian cancer risk by nearly 80%

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A surgical procedure developed in Canada reduces the risk of the most common and deadly form of ovarian cancer by nearly 80 per cent.

The strategy, known as opportunistic salpingectomy (OS), removes the fallopian tubes during routine gynaecological surgery such as hysterectomy (womb removal) or tubal ligation (having one’s tubes tied).

The study analysed population health data for more than 85,000 people who had gynaecological surgeries in British Columbia between 2008 and 2020, comparing rates of serous ovarian cancer with those who had similar operations without the procedure.

Researchers at the University of British Columbia found that people who had opportunistic salpingectomy were 78 per cent less likely to develop serous ovarian cancer, the most common and deadly subtype.

In the rare cases where ovarian cancer occurred after the procedure, those cancers were found to be less biologically aggressive.

Co-senior author Gillian Hanley is an associate professor of obstetrics and gynaecology at the University of British Columbia.

She said: “This study clearly demonstrates that removing the fallopian tubes as an add-on during routine surgery can help prevent the most lethal type of ovarian cancer,.

“It shows how this relatively simple change in surgical practice can have a profound and life-saving impact.”

British Columbia became the first jurisdiction in the world to offer opportunistic salpingectomy in 2010, after researchers discovered that most ovarian cancers originate in the fallopian tubes rather than the ovaries.

The procedure leaves the ovaries in place, preserving hormone production so side effects are minimal.

The approach was initially developed by Dianne Miller, an associate professor emerita at the University of British Columbia and gynaecological oncologist with Vancouver Coastal Health and BC Cancer.

“If there is one thing better than curing cancer it’s never getting the cancer in the first place,” said Miller.

Since its introduction in British Columbia in 2010, opportunistic salpingectomy has been widely adopted, with approximately 80 per cent of hysterectomies and tubal ligation procedures in the province now including fallopian tube removal.

Professional medical organisations in 24 countries now recommend the procedure as an ovarian cancer prevention strategy, including the Society of Obstetrics and Gynaecology of Canada, which issued guidance in 2015.

“This is the culmination of more than a decade of work that started here in B.C.,” said co-senior author David Huntsman, professor of pathology and laboratory medicine and obstetrics and gynaecology at the University of British Columbia.

“The impact of OS that we report is even greater than we expected.”

British Columbia recently became the first province to expand opportunistic salpingectomy to routine surgeries performed by general and urological surgeons through a project supported by the Government of British Columbia and Doctors of BC.

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AI mammography leads to fewer advanced breast cancers, study finds

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AI mammography finds more cancers at screening and cuts diagnoses between screens by 12 per cent, a major trial has found.

The study involving over 100,000 Swedish women is described as the first randomised controlled trial investigating the use of AI in a national breast cancer screening programme.

Women who underwent AI-supported screening were less likely to be diagnosed with more aggressive and advanced breast cancer in the two years following, compared with standard mammography read by two radiologists.

The research was led by Lund University in Sweden.

Lead author Dr Kristina Lång said: “Our study is the first randomised controlled trial investigating the use of AI in breast cancer screening and the largest to date looking at AI use in cancer screening in general.

“It finds that AI-supported screening improves the early detection of clinically relevant breast cancers which led to fewer aggressive or advanced cancers diagnosed in between screenings.

“Widely rolling out AI-supported mammography in breast cancer screening programmes could help reduce workload pressures amongst radiologists, as well as helping to detect more cancers at an early stage, including those with aggressive subtypes.

“However, introducing AI in healthcare must be done cautiously, using tested AI tools and with continuous monitoring in place to ensure we have good data on how AI influences different regional and national screening programmes and how that might vary over time.”

Between April 2021 and December 2022, women who were part of mammography screening at four sites in Sweden were randomly assigned to either AI-supported screening or standard double reading by radiologists without AI.

In the AI-supported group, a specialist system analysed the mammograms and triaged low-risk cases to single reading and high-risk cases to double reading performed by radiologists. AI was also used to highlight suspicious findings in the image.

During the two-year follow-up, there were 1.55 interval cancers per 1,000 women in the AI-supported group, compared with 1.76 per 1,000 women in the control group.

Interval cancers are those diagnosed after a negative screen and before the next scheduled appointment, and are often more aggressive than cancers detected during routine screening.

Additionally, there were 16 per cent fewer invasive cancers, 21 per cent fewer large cancers, and 27 per cent fewer aggressive sub-type cancers in the AI group. The rate of false positives was similar for both groups.

Jessie Gommers is first author and PhD student at Radboud University Medical Centre in the Netherlands, said:

Gommers said: “Our study does not support replacing healthcare professionals with AI as the AI-supported mammography screening still requires at least one human radiologist to perform the screen reading, but with support from AI.

“However, our results potentially justify using AI to ease the substantial pressure on radiologists’ workloads, enabling these experts to focus on other clinical tasks, which might shorten the waiting times for patients.

Dr Lång added: “Further studies on future screening rounds with this group of women and cost-effectiveness will help us understand the long-term benefits and risks of using AI-supported mammography screening.

“If they continue to suggest favourable outcomes for AI-supported mammography screening compared with standard screening, there could be a strong case for using AI in widespread mammography screening, especially as we face staff shortages.”

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