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GLOBAL NEWS: OVARIAN CANCER RESEARCH

As the leading voice of ovarian cancer research in Australia, the Ovarian Cancer Research Foundation brings you regular updates of medical research news here in Australia, and from across the world.

New drug combination offers hope for rare low-grade serous ovarian cancer

Updated findings from a US Phase 2 trial show that this combination therapy is well tolerated and may become the new standard for treating recurrent low-grade serous ovarian cancer. 

Verastem Oncology in the US recently released encouraging data from their Phase 2 trial, RAMP 201, using a new drug combination for treating recurrent low-grade serous ovarian cancer (LGSOC). LGSOC is a challenging form of ovarian cancer that is difficult to treat and frequently resists chemotherapy. 

The trial tested the effectiveness of avutometinib, combined with defactinib, which are both inhibitors targeting key proteins involved in cancer cell migration, attachment and survival. This unique combination aims to block multiple cancer growth pathways at once, potentially giving a stronger, longer-lasting anti-cancer effect. In this study, 109 patients were treated, and results showed that 31% responded positively to the treatment, with response rates even higher (44%) among patients who had a specific mutation in the gene KRAS, commonly found in LGSOC. 

The combination also proved generally safe, with few patients discontinuing due to side effects. Common side effects included nausea and diaorrhea, and no new safety concerns arose. This is significant as the current standard treatments for LGSOC, like hormone therapy and chemotherapy, are often less effective and have limited targeted options, leaving patients with few reliable choices. The median duration of response was over 30 months for patients with the KRAS mutation, and median progression-free survival extended beyond a year, underscoring the potential durability of this treatment in keeping cancer at bay. 

Verastem Oncology aims to fast-track this new therapy by submitting a New Drug Application (NDA) to the US Food and Drug Administration (FDA), with hopes for approval in 2025 for patients with KRAS-mutant LGSOC. Additionally, they plan to expand the treatment's availability by further testing it in patients without the mutation. The FDA has already granted Breakthrough Therapy and Orphan Drug designations for the avutometinib-defactinib combination, which could accelerate its regulatory review. If approved, this would be the first FDA-sanctioned treatment specifically for recurrent LGSOC, marking a potential new standard of care for this often hard-to-treat cancer. 

Ovarian cancer drains the immune system’s energy, new research suggests 

Researchers discovered a mechanism that ovarian tumours use to disable immune cells by blocking their energy supply. This could lead to a new immunotherapy approach for ovarian cancer. 

Metastatic ovarian cancer is especially challenging as it is known for weakening the immune system and resisting both standard treatments, such as chemotherapies, as well as immunotherapies. In ovarian tumours, certain immune cells called T cells are trapped in an inactive and non-functional state. These T cells then have poor cancer-fighting abilities that can’t be fixed with typical immune treatments. Researchers are now exploring whether ovarian cancer, in addition to other aggressive cancers, can disrupt an essential pathway called the “FABP5 pathway” which may explain the immune cells’ inability to fight the cancer effectively. The protein “FABP5” plays a crucial role in helping T cells absorb fats and use them to power their energy needs. However, until now, the exact processes controlling how T cells use these fats were not well understood. 

This study discovered that another protein called “TAGLN2” is essential for T cells to effectively absorb fats, generate energy, and attack cancer cells. TAGLN2 works by interacting with the FABP5 pathway to ensure it functions properly on the surface of T cells. However, in ovarian cancer, the stressful environment inside tumours can block the TAGLN2 protein, making T cells less effective at fighting the cancer. 

The researchers found that by restoring the activity TAGLN2 in stressed T cells, they could boost the cells’ ability to absorb fats, produce energy, and kill cancer cells. They also showed that genetically engineered immune cells (CAR-T cells) with extra TAGLN2 protein could overcome stress caused by the tumour environment and successfully fight the cancer pre-clinical metastatic ovarian cancer models. 

In summary, this research identifies the TAGLN2 protein as a key player in T cell energy use and suggests that preserving the TAGLN2–FABP5 pathway could improve cancer immunotherapy, especially for solid tumours like ovarian cancer. 

Novel blood test could predict which ovarian cancer patients will not respond to chemotherapy    

A recent study has used spectroscopy (the study of light scatter) and AI machine learning to identify subtle chemical differences in the blood of ovarian cancer patients, helping predict which patients will resist platinum-based chemotherapy with over 92% accuracy.  

Patients with advanced-stage ovarian cancer often face poor outcomes, and finding effective treatments is a critical challenge. One major obstacle is that many patients develop resistance to common chemotherapy drugs like cisplatin, which makes treatment less effective. Since platinum-resistant patients don’t benefit from standard chemotherapy, it’s crucial to identify them early and explore alternative treatments. However, until now, there hasn’t been a reliable way to predict which patients will become resistant to platinum-based therapy.  

In this study, researchers used a technique called Fourier Transform Infrared (FTIR) spectroscopy to analyse blood samples from two groups of ovarian cancer patients: those who respond to platinum-based chemotherapy (platinum-sensitive) and those who do not (platinum-resistant). FTIR helps detect subtle chemical differences by measuring how molecules in the blood absorb light. They then used advanced data analysis techniques, including AI and machine learning, to compare these two groups. 

The study found distinct chemical differences between the two groups. In the blood of platinum-resistant patients, certain molecular vibrations appeared differently compared to the platinum-sensitive group. Machine learning methods highlighted two key differences (called wavenumbers) by FTIR spectroscopy that were especially important. These differences helped predict platinum resistance with more than 92% accuracy. 

This research shows that FTIR spectroscopy can identify key chemical differences between platinum-sensitive and platinum-resistant patients. By spotting these differences early, doctors could avoid ineffective treatments and explore other therapies for patients unlikely to respond to platinum-based drugs. 

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The Ovarian Cancer Research Foundation acknowledges the Traditional Custodians of the lands upon which we work, strive, and learn, the Wurrundjiri Woi wurrung and Bunorung Boon wurrung peoples of the Kulin Nation. We pay our respects to Elders past and present, and extend this respect to all Aboriginal and Torres Strait Islander peoples in Australia and beyond.