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Meet the brightest minds advancing ovarian
cancer research

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At Lena Wäppling’s Foundation, we believe ovarian cancer is a global women’s health issue and that’s why we award funds to science-led research projects across the globe. Over 70% of ovarian cancer cases are detected at later stages (stage 3 and 4), underscoring the critical need for early intervention. 

The risk of recurrence is very high, with approximately 80% of those affected experiencing a relapse within two years after completing treatment.

Early diagnosis is paramount, as survival rates increase dramatically when the disease
is detected in its earliest stages. The high risk of recurrence in ovarian cancer is a fact that needs more attention, as the disease often returns and requires repeated treatment interventions. With each recurrence, treatment options become fewer, and eventually, no effective alternatives remain.

 

By funding ovarian cancer research, we hope that scientists can identify biomarkers, gain a deeper understanding of disease progression and risk factors, and discover more effective treatment methods. This paves the way for a future where ovarian cancer is no longer a life-threatening disease.

Each year brings us closer to realizing our vision

Since 2019, we have distributed 5.4 million euros/SEK
5.8 million to researchers at leading universities and institutes, advancing the forefront of research against this deadly disease.

Find out more about our recipients below

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Anna Gerdtsson, Lund University, Lund

Project: AI-based identification and molecular characterization of prognostic niches in ovarian cancer

Immunotherapy shows promise for ovarian cancer, but few patients respond and reliable predictive tests are lacking. This project combines spatial omics and AI to map the tumor microenvironment and uncover how immune and tumor cells interact. Using fluorescent imaging and deep learning, cell clusters linked to survival will be identified and their gene activity will be analyzed with spatial transcriptomics.

The ultimate goal is to develop image-based, clinically applicable tools for predicting treatment response and prognosis in ovarian cancer. This approach may lead to more accurate tumor classification and support the implementation of precision immunotherapy strategies.

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Kaname Uno, Lund University, Lund

Project: New definition of platinum resistance and its prediction using abdominal fluids analysis

While platinum-based chemotherapy is initially effective in many ovarian cancer patients, resistance often develops, limiting long-term success. This project aims to better understand platinum resistance by visualizing how the drug moves within tumors at the microscopic level. By comparing drug distribution in responsive vs. resistant tumors—and analyzing their genetic and molecular profiles—researchers hope to identify key mechanisms driving resistance. The study will also investigate whether metal ion levels in abdominal fluid can help predict treatment response.

 

The goal is to improve outcomes by enabling earlier detection of resistance and tailoring treatments more effectively.

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Emmy Borgmästars, Uppsala University, Uppsala

Project: Bacterial profiles in self-sampled cervico-vaginal fluid and tumor tissue as potential ovarian cancer biomarkers.

This project investigates the vaginal microbiome as a source of non-invasive biomarkers for early detection of ovarian cancer. Self-collected dried cervical-vaginal fluid (CVF) and tumor tissue will be analyzed to identify bacterial patterns that distinguish ovarian cancer from benign and other gynecologic conditions. The study also explores microbiome variation across menstrual cycle phases.

 

By comparing samples from the same individuals, the project aims to uncover reliable biomarkers to support earlier diagnosis and improved outcomes.

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Work with us to make
surviving ovarian cancer
a normal outcome.

Support our mission to
make surviving ovarian cancer the norm.

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