On #WorldOvarianCancerDay, learn about the #HorizonEU Deciderproject and its mission to overcome chemotherapy resistance in high-grade serious ovarian cancer. Discover how DECIDER is making real progress in ovarian cancer research: hadea.ec.europa.eu/news/world-ova… #WOCD2025

Interesting day ahead at RPU Science Day 2025! Deciderproject University of Helsinki Medicine and Health, University of Helsinki #RPUScienceDay

Day 1 of this year’s plenary DECIDER meeting im Helsinki with animated discussions during the poster session.

On the second day of our plenary meeting, we brainstormed and discussed the most exciting and important ideas for implementation in the final year of the Deciderproject. #ovariancancer

Thank you to the entire Deciderproject consortium for the lively discussions, creative ideas, and excellent presentations over the past two days and special thanks to our patient organization representatives from Suomen Syöpäpotilaat and Gynekologiset Syöpäpotilaat.

We received the cover for our recent publication in Clinical Cancer Research. This multi-institutional study offers the first systematic proteogenomic analysis of synchronous endometrial and ovarian cancers (SEOC). Read: bit.ly/4kVgq9L Lengyel Lab Melanie Weigert Matthias Mann Lab

New from the Lengyel/Kenny Lab: our study in Cancer Cell with Matthias Mann Lab charts how borderline ovarian tumors evolve into low-grade serous ovarian cancer, using spatial proteo-transcriptomics to uncover molecular drivers & potential therapeutic targets. sciencedirect.com/science/articl…

🔥 Hot off the press: In a new nature study, Ernst Lengyel and team show that blocking NNMT in tumor-supporting cells restores immune response & stops ovarian cancer growth, offering a new strategy for hard to treat cancers. Lengyel Lab UChicago Obstetrics and Gynecology Department ow.ly/zzfZ50Wu3UW

Proud to share our new nature study: We developed the 1st NNMT inhibitor that reprograms cancer-associated fibroblasts, boosting immune response & stopping tumor growth in ovarian cancer models, especially when paired with immunotherapy. Lengyel Lab nature.com/articles/s4158…

My first preprint is out! SegmentQTL is a method for molQTL analysis in unstable cancer genomes, developed from my master's thesis project. Preprint: doi.org/10.1101/2025.0… Code: github.com/HautaniemiLab/… #Genomics #Bioinformatics #QTL

Now online in Cancer Discovery: Decoding the Genomic and Functional Landscape of Emerging Subtypes in #OvarianCancer - by Giulia Micoli, Sampsa Hautaniemi, and colleagues doi.org/10.1158/2159-8… @unihelsinki

🎉This is the energy every PhD paper celebration should have. Just saying 🥂😁