Back

Integration of cell-type resolved spatial proteomics and transcriptomics reveals novel mechanisms in early ovarian cancer

Metousis, A.; Kenny, H. A.; Shimizu, A.; Schweizer, L.; Ben-Moshe, S.; Bilecz, A.; Krishnan, R.; Zhang, J.; Alcazar, I.; Kelliher, L.; Ravi, M.; Samantaray, T.; Richter, S.; Li, Y.; Wang, J.; Steigerwald, S.; Theis, F. J.; Rosenberger, F. A.; Nordmann, T.; Yamada, S. D.; Lastra, R.; Mann, M.; Lengyel, E.

2025-08-28 obstetrics and gynecology
10.1101/2025.08.25.25333715 medRxiv
Show abstract

High-grade serous carcinoma (HGSC) is the most common ovarian cancer subtype, typically diagnosed at late stages with poor prognosis. Understanding early molecular events driving HGSC progression is crucial for timely detection and development of effective treatment strategies. We performed and integrated spatial cell-type resolved proteomics and paired transcriptomics across 25 women with precursor lesions of the fallopian tube and/or HGSC. Epithelial cell signatures revealed early activation of SUMOylation machinery, increased ATR and Wnt signaling, and enhanced MHC-I antigen presentation along the disease trajectory. The stroma exhibited extracellular matrix remodeling and interferon-mediated inflammation. Serous tubal intraepithelial carcinomas (STICs) in cancer patients contained a pro-coagulative signature and reduced APOA1/2 compared to STICs in individuals without cancer. We functionally established important roles of epithelial-derived TRIP13 and SUMOylation, and cancer-associated fibroblast-derived SULF1 and BGN in HGSC progression. These findings provide unique molecular insights into HGSC pathogenesis and identify potential new therapeutic targets for intervention.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.