New immune phenotypes for treatment response in high-grade serous ovarian carcinoma patients
- Cecilie Fredvik Torkildsen 1,2, Marie Austdal 3, Anders Hagen Jarmund 4, Katrin Kleinmanns 2,5, Eva Karin Lamark 5, Elisabeth Berge Nilsen 1, Ingunn Stefansson 2,6, Ragnar Kvie Sande 1,7, Ann-Charlotte Iversen 4, Liv Cecilie Vestrheim Thomsen 2,5, Line Bjørge 2,5
- 1Department of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway.
- 2Centre for Cancer Biomarkers CCBIO, Department of Clinical Science, University of Bergen, Bergen, Norway.
- 3Department of Research, Stavanger University Hospital, Stavanger, Norway.
- 4Department of Clinical and Molecular Medicine, and Centre of Molecular Inflammation Research (CEMIR), Norwegian University of Science and Technology (NTNU), Trondheim, Norway.
- 5Department of Obstetrics and Gynecology, Haukeland University Hospital, Bergen, Norway.
- 6Department of Pathology, Haukeland University Hospital, Bergen, Norway.
- 7Department of Clinical Science, University of Bergen, Bergen, Norway.
- 0Department of Obstetrics and Gynecology, Stavanger University Hospital, Stavanger, Norway.
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View abstract on PubMed
Summary
This summary is machine-generated.High-grade serous ovarian carcinoma patients show distinct immune phenotypes at diagnosis. These immune profiles may guide treatment selection and improve prognosis for ovarian cancer.
Area Of Science
- Gynecologic Oncology
- Immunology
- Biomarker Discovery
Background
- High-grade serous ovarian carcinoma (HGSOC) has a poor prognosis despite treatment advances.
- Cytoreductive surgery is crucial for survival, necessitating tools to predict treatment response.
- Serum cytokine profiling offers insights into immune status but is underutilized in HGSOC treatment.
Purpose Of The Study
- To characterize pre-treatment and during-treatment immune responses in HGSOC patients.
- To identify serum cytokine biomarkers for treatment stratification and prognosis.
- To explore the relationship between immune phenotypes, surgical scoring, and treatment outcomes.
Main Methods
- Longitudinal serum samples from 22 HGSOC patients were collected from diagnosis to response evaluation.
- Patients were assigned to primary cytoreductive surgery or neoadjuvant chemotherapy (NACT).
- Serum cytokines were analyzed using Bio-Plex 200 to define immune phenotypes (Immune High vs. Immune Low).
Main Results
- Two distinct immune phenotypes (Immune High and Immune Low) were identified at diagnosis, correlating with laparoscopy scores and treatment allocation.
- Immune High patients undergoing cytoreductive surgery showed better progression-free survival than Immune Low patients.
- Surgery induced transient cytokine changes (e.g., IL-6 upregulation, IP-10, Eotaxin, IL-4, IL-7 downregulation), with levels decreasing over time.
Conclusions
- Distinct pre-treatment immune phenotypes in HGSOC patients can inform treatment stratification and prognosis.
- Serum cytokine profiling shows potential as a novel biomarker for assessing treatment response in ovarian cancer.
- Further validation of these immune phenotypes may enhance personalized treatment strategies for HGSOC.
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