High Grade Serous Ovarian Cancer
Conditions
Keywords
Radiomics, Ovarian cancer, Genomics, Proteomics, Immune Tumor Microenvironment
Brief summary
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
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.
Interventions
BIOLOGICALBlood sample and tissue sample
During the surgery : * Tissus sample : primary tumor and metastasis * blood sample : 3 EDTA tubes * ex vivo MRI data
Sponsors
Institut du Cancer de Montpellier - Val d'Aurelle
Study design
Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
OTHER
Masking
NONE
Eligibility
Sex/Gender
FEMALE
Age
18 Years to No maximum
Healthy volunteers
No
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
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| 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. | one shoot at the surgery | The diagnostic performance of the radiomic and multiomic algorithm for the characterization of heterogeneity in the CSOHG. |
Secondary
| Measure | Time frame | Description |
|---|---|---|
| the imaging phenotype of tumor heterogeneity with a multi-scale radiomic approach by obtaining the image mirror tumor at the in vivo scale | one shoot at the surgery | Correlation between radiomic maps and pathogenic maps of heterogeneity, |
| 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 | one shoot at the surgery | Correlation between radiomic algorithms and i/underlying histology and ii/ genomics |
| the heterogeneity of the tumor biology of CSOHG through non-invasive habitat imaging combined with an integrated Multi-O-Mics approach. | one shoot at the surgery | Correlation between radiomic maps and tumor biology (CYTOF, proteomics and transcriptomics), |
| To Correlate MRI results with hematological molecular biology results. | one shoot at the surgery | Correlation between radiomic algorithms for tumor detection and cDNA determination. |
Countries
France
Contacts
Primary ContactMOUSSION Aurore
Backup ContactTexier Emmanuelle
Outcome results
None listed