Spatial Profiling of Ovarian Carcinoma and Tumor Microenvironment Evolution under Neoadjuvant Chemotherapy
- Elisa Yaniz-Galende 1, Qinghe Zeng 2, Juan F Bejar-Grau 1,3, Christophe Klein 2, Felix Blanc-Durand 1,4, Audrey Le Formal 1, Eric Pujade-Lauraine 5, Laure Chardin 1, Elodie Edmond 6, Virginie Marty 6, Isabelle Ray-Coquard 7, Florence Joly 8, Gwenael Ferron 9, Patricia Pautier 4, Dominique Berton-Rigaud 10, Alain Lortholary 11, Nadine Dohollou 12, Christophe Desauw 13, Michel Fabbro 14, Emmanuelle Malaurie 15, Nathalie Bonichon-Lamaichhane 16, Diana Bello Roufai 17, Justine Gantzer 18, Etienne Rouleau 19, Catherine Genestie 20, Alexandra Leary 1,4
- Elisa Yaniz-Galende 1, Qinghe Zeng 2, Juan F Bejar-Grau 1,3
- 1Université Paris-Saclay, Gustave-Roussy Cancer Campus, Inserm U981, Villejuif, France.
- 2Centre d'Histologie, d'Imagerie et de Cytométrie (CHIC), Centre de Recherche des Cordeliers, INSERM, Sorbonne Université, Université de Paris, Paris, France.
- 3Gynaecologic Cancer Programme, Vall d'Hebron Institute of Oncology (VHIO), Hospital Universitari Vall d'Hebron, Vall d'Hebron Barcelona Hospital Campus, Barcelona, Spain.
- 4Departement of Medecine, Gustave-Roussy Cancer Campus, INSERM U981, Université Paris-Saclay, Villejuif, France.
- 5ARCAGY-GINECO, Paris, France.
- 6AMMICa Platform, INSERM US23, CNRS UAR 3655, AMMICa, Villejuif, France.
- 7Centre Léon Bérard, Lyon, France.
- 8Centre François Baclesse, Caen, France.
- 9Institut Claudius Regaud IUCT Oncopole, Toulouse, France.
- 10Institut de Cancérologie de l'Ouest-ICO, Site René Gauducheau, Saint-Herblain, France.
- 11Hôpital Privé du Confluent, Nantes, France.
- 12Polyclinique Bordeaux Nord, Bordeaux, France.
- 13Centre Hospitalier Régional Universitaire de Lille, Hôpital Huriez, Lille, France.
- 14Institut du Cancer de Montpellier-ICM Val d'Aurelle, Montpellier, France.
- 15Centre Hospitalier Intercommunal de Créteil, Créteil, France.
- 16Clinique Tivoli, Bordeaux, France.
- 17Hôpital René Huguenin, Saint-Cloud, France.
- 18Hôpitaux Universitaires de Strasbourg, Strasbourg, France.
- 19Cancer Genetics Laboratory, Gustave Roussy Institute, Villejuif, France.
- 20Pathology Department, Gustave Roussy, Villejuif, France.
- 0Université Paris-Saclay, Gustave-Roussy Cancer Campus, Inserm U981, Villejuif, France.
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April 26, 2024
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View abstract on PubMed
Summary
This summary is machine-generated.Neoadjuvant chemotherapy (NACT) alters the ovarian cancer immune microenvironment, increasing CD8+ T cells and improving outcomes. Targeting immune checkpoints like TIM3, LAG3, and IDO1 may enhance antitumor immunity in this malignancy.
Area Of Science
- Oncology
- Immunology
- Cancer Research
Background
- The immune tumor microenvironment (iTME) plays a critical role in ovarian cancer progression and response to therapy.
- Understanding changes in immune cell populations and their interactions is crucial for developing effective treatment strategies.
Purpose Of The Study
- To investigate alterations in CD8+ T cells, CD8+/Foxp3 ratio, HLA I expression, and immune coregulator density in ovarian cancer patients before and after neoadjuvant chemotherapy (NACT).
- To correlate these immune changes with clinical outcomes and patient stratification.
Main Methods
- Multiplexed immune profiling and cell clustering analysis were performed on paired ovarian cancer samples from the CHIVA trial (NCT01583322).
- Quantification of immune cell subsets and immune coregulators pre- and post-NACT.
- Clustering analysis to stratify tumors based on immune cell composition.
Main Results
- Higher CD8+ T cells and HLA I expression at diagnosis correlated with better outcomes.
- NACT significantly increased the CD8+/Foxp3+ ratio, indicating enhanced immune surveillance.
- Tumor clusters identified post-NACT, particularly the 'high BinfTinf' cluster with diverse immune cells, were associated with improved survival.
- TIM3, LAG3, and IDO1 were more prevalent than PDL1, suggesting alternative immune checkpoint targets.
Conclusions
- Ovarian cancer exhibits diverse immune tumor microenvironments that are heterogeneously affected by NACT.
- Immune cell subset analysis can guide personalized treatment approaches.
- Targeting immune checkpoints such as TIM3, LAG3, and IDO1 may be a promising strategy for overcoming resistance to anti-PDL1 therapies in ovarian cancer.
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