Unravelling Tumour Biology In Ovarian Cancer With Precision Imaging

Study Overview
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Brief Summary
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The objective of this study is to explore the integration of in vivo and ex vivo of MRI with histology and molecular assessments to advance non-invasive characterization of tumor heterogeneity in high-grade serous ovarian cance

Detailed Description
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After being informed about the study and potential risks, all patient giving wirtting informed consent. During surgery, tissue and blood samples will be conserved for the study. In this study will be compared images obtained in vivo before surgical management, ex vivo images obtained on excised tissues during surgery, histological data obtained during surgery.

Official Title
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Unravelling Tumour Biology In Ovarian Cancer With Precision Imaging

Conditions
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High Grade Serous Ovarian Cancer

Intervention / Treatment
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* Biological: Blood sample and tissue sample


Participation Criteria
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Eligibility Criteria
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Inclusion Criteria: Patient aged >18 Pathologically proven HGSOC at an advanced stage (FIGO IIIB or IIIC) which can benefit from surgery with or without prior neoadjuvant treatment Willingness and ability to comply with planned visits, treatment plan, laboratory tests and other study procedures, Patient who has given informed, written and express consent, Patient affiliated with a French health insurance scheme. Exclusion Criteria: Early-stage disease (FIGO <IIIB) or presence of extraperitoneal metastases, Patient who will not have surgery Patient whose regular follow-up is impossible for psychological, family, social or geographical reasons, Patient under guardianship, curatorship or safeguarding of justice, Pregnant and/or nursing patient, Patient with a history of other cancers within 5 years/10 years prior to inclusion

Ages Eligible for Study
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Minimum Age: 18 Years

Sexes Eligible for Study
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Female

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Other
Intervention Model: Single Group Assignment
Masking: None (Open Label)


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Experimental: Single arm<br>single arm | Biological: Blood sample and tissue sample<br>* During the surgery : Tissus sample : primary tumor and metastasis blood sample : 3 EDTA tubes ex vivo MRI data<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| the integration of in vivo and ex vivo of MRI with histology and molecular assessments to advance non-invasive characterization of tumor heterogeneity in high-grade serous ovarian cancer. | The diagnostic performance of the radiomic and multiomic algorithm for the characterization of heterogeneity in the CSOHG. | one shoot at the surgery | 

Secondary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| the imaging phenotype of tumor heterogeneity with a multi-scale radiomic approach by obtaining the image mirror tumor at the in vivo scale | Correlation between radiomic maps and pathogenic maps of heterogeneity, | one shoot at the surgery | 
| tumor heterogeneity based on phenotypic imaging supported by AI reflects and can predict sub-histologyunderlying by tumor stroma proportion and tumor density infiltrating lymphocytes and genomics through HRD | Correlation between radiomic algorithms and i/underlying histology and ii/ genomics | one shoot at the surgery | 
| the heterogeneity of the tumor biology of CSOHG through non-invasive habitat imaging combined with an integrated Multi-O-Mics approach. | Correlation between radiomic maps and tumor biology (CYTOF, proteomics and transcriptomics), | one shoot at the surgery | 
| To Correlate MRI results with hematological molecular biology results. | Correlation between radiomic algorithms for tumor detection and cDNA determination. | one shoot at the surgery | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Radiomics, Ovarian cancer, Genomics, Proteomics, Immune Tumor Microenvironment