Investigator
Clinical Scientist · Charité-Universitätsmedizin Berlin, Institute of Pathology
Transcriptome Analysis of Matched Cohorts of Long- and Short-term Survivors in Advanced High-grade Serous Tubo-ovarian Cancer
Abstract Purpose: The late-stage diagnosis and the aggressiveness of high-grade serous tubo-ovarian carcinoma (HGSC) often result in poor survival outcomes, yet some patients exhibit an exceptionally long survival rate. This study aimed to identify molecular profiles associated with long-/short-term survival in HGSC, with the goal of better understanding protective factors and developing new treatments. Experimental Design: To discover molecular drivers causing the aggressiveness of HGSC, tumor samples from 12 long-term HGSC survivors (>7 years overall survival) and 12 short-term survivors (<1 year overall survival) were analyzed using targeted RNA sequencing followed by computational analysis. We investigated differentially expressed genes and their functional relevance, inferred differences in cell type composition and signaling pathways, as well as mutation status. To validate our findings, we simulated our study design by using HGSC The Cancer Genome Atlas dataset samples. We evaluated differential patterns of gene expression between these two groups and developed molecular profiles of HGSC that correlate with survival phenotypes. Results: Besides known molecular cancer drivers and indicators of poor prognosis, we identified specific transcriptional changes between short- and long-term survivors of HGSC, which indicate that immune processes play a fundamental role in long-term survivors. Our computational analysis reveals an important role for the ensemble of IFN-γ signaling and the RFX transcription factors, as well as the immune cell composition of the tumor microenvironment. Conclusions: Specific immunologic requirements involving IFN-γ signaling and affected pathways seem to be relevant for long-term survival in the generally considered nonimmunogenic HGSC, necessitating further research to improve diagnostic strategies and targeted therapies.
Mucinous cystic neoplasms of the pancreas and liver share a similar DNA methylation profile with mucinous ovarian tumors
Abstract The origin of mucinous cystic neoplasms (MCNs) remains a major challenge in hepato‐pancreato‐biliary pathology. These cystic tumors are defined by their mucinous epithelium and ovarian‐like stroma, with an estimated 10% risk of progression to invasive carcinoma. The origin of the ovarian‐like stroma remains a subject of debate. In this study, we conducted immunohistochemical profiling, targeted DNA sequencing, and genome‐wide DNA methylation analysis on a cohort of 15 pancreatic MCNs (MCN‐P) and six hepatic MCNs (MCN‐L). Using immunohistochemistry and targeted DNA sequencing, we unequivocally established the diagnosis of MCN. Unsupervised DNA methylation profile analysis of reference classes of pancreatic neoplasms (11 entities and normal pancreatic tissue from 224 unique samples) revealed that MCN‐P predominantly forms a distinct group. In the DNA methylation landscape of liver tumors, encompassing five tumor types and normal bile duct tissue from 136 unique samples, MCN‐L demonstrated a specific methylation profile when compared with all other entities. Furthermore, within the DNA methylation landscape of ovarian tumors – featuring five tumor types, normal Fallopian tube, and normal ovarian tissue from 90 unique samples – we found that both MCN‐P and MCN‐L grouped with mucinous ovarian carcinoma and mucinous borderline ovarian tumors (mBOTs). Notably, low‐grade MCNs exhibited greater DNA methylation similarities to mBOTs, while high‐grade or invasive MCNs were primarily associated with mucinous ovarian carcinomas. When analyzing all samples together (19 tumor types and four normal tissue types, n = 430), MCNs similarly grouped with mucinous ovarian tumors and normal ovarian tissue. Additionally, in a network analysis of differentially methylated probes, MCN‐P and MCN‐L share significant methylation traits, closely resembling mucinous ovarian tumors. In conclusion, our findings highlight that MCN‐P and MCN‐L are distinct entities in the landscape of pancreatic and hepatic tumors and show DNA methylation profile similarities with mucinous ovarian tumors, suggesting a potential common origin. © 2025 The Author(s). The Journal of Pathology published by John Wiley & Sons Ltd on behalf of The Pathological Society of Great Britain and Ireland.
Clinical Scientist
Charité-Universitätsmedizin Berlin · Institute of Pathology
Scopus: 57190609894