- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05984875
The Immune Landscape of Epithelial Ovarian Cancer (IOSI-GYNE-001)
The Immune Landscape of Epithelial Ovarian Cancer: a Prospective Observational Study
This is a single center prospective observational study to characterize the immune landscape of newly diagnosed epithelial ovarian cancer (OC).
Patients with newly diagnosed epithelial OC will be enrolled in 4 different cohorts: A) Newly diagnosed high grade serous or endometroid OC undergoing primary debulking surgery; B) Newly diagnosed high grade serous or endometroid OC undergoing neoadjuvant chemotherapy (NACT) followed by interval debulking surgery; C) Rare subtypes of epithelial OC (low grade serous, low grade endometrioid, clear cell, mucinous or carcinosarcoma) undergoing primary debulking surgery; D) Rare subtypes of epithelial OC (low grade serous, low grade endometrioid, clear cell, mucinous or carcinosarcoma) undergoing NACT followed by interval debulking surgery. A cohort of women undergoing adnexectomy for benign pathology will be enrolled (cohort E) for comparative analysis.
Enrolled patients will be asked to provide the following biological samples at specified time points: archival and fresh tumor tissue, peripheral blood samples, rectal and vaginal swabs, ascites (when present).
The main aim of the study is to characterize the immune landscape of epithelial OC in tumor tissue and peripheral blood and correlate the presence of myeloid-derived suppressive cells (MDSCs) and other immune infiltrates and of the systemic immune response with progression free interval (PFI) in epithelial OC.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Ilaria Colombo, MD
- Phone Number: +41764528823
- Email: ilaria.colombo@eoc.ch
Study Locations
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-
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Bellinzona, Switzerland, 6500
- Recruiting
- Oncology Institute of Southern Switzerland
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Contact:
- Ilaria Colombo, MD
- Phone Number: +41764528823
- Email: ilaria.colombo@eoc.ch
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion criteria cohort A-D:
- Suspicious diagnosis of epithelial ovarian cancer (subsequent histologically confirmation required)
- Plan to undergo a surgical procedure for the management of epithelial ovarian cancer or recurrent ovarian cancer previously treated with conventional treatment and involved in the trial as group A-D
- ≥18 years old
- ECOG Performance Status ≤ 2
- Written informed consent
Inclusion criteria cohort E:
- Indication for adnexectomy for a benign gynecological condition
- ≥18 years old
- ECOG Performance Status ≤ 2
- Written informed consent
Exclusion criteria cohort A-E:
- Other active concomitant neoplasms that might confound the results of the planned analysis.
- Ongoing active autoimmune disease requiring treatment or condition of immune deficiency
- Ongoing chronic treatment with steroids or other immune suppressive agents at the time of study entry
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
A
Newly diagnosed high grade serous or endometroid OC undergoing primary debulking surgery
|
The following biological samples will be collected at different time points, according to the specified cohort and after signing the inform consent form: tumor tissue (fresh and archival) or normal tissue (cohort E), ascites (when present), peripheral blood, rectal swab, vaginal swab.
|
|
B
Newly diagnosed high grade serous or endometroid OC undergoing NACT followed by interval debulking surgery.
This cohort also includes patients that will not be deemed suitable for interval debulking surgery following NACT
|
The following biological samples will be collected at different time points, according to the specified cohort and after signing the inform consent form: tumor tissue (fresh and archival) or normal tissue (cohort E), ascites (when present), peripheral blood, rectal swab, vaginal swab.
|
|
C
Rare subtypes of epithelial OC (low grade serous, low grade endometrioid, clear cell, mucinous or carcinosarcoma) undergoing primary debulking surgery
|
The following biological samples will be collected at different time points, according to the specified cohort and after signing the inform consent form: tumor tissue (fresh and archival) or normal tissue (cohort E), ascites (when present), peripheral blood, rectal swab, vaginal swab.
|
|
D
Rare subtypes of epithelial OC (low grade serous, low grade endometrioid, clear cell, mucinous or carcinosarcoma) undergoing NACT followed by interval debulking surgery.
This cohort also includes patients with the selected histological subtypes that will not be deemed suitable to interval debulking surgery following NACT
|
The following biological samples will be collected at different time points, according to the specified cohort and after signing the inform consent form: tumor tissue (fresh and archival) or normal tissue (cohort E), ascites (when present), peripheral blood, rectal swab, vaginal swab.
|
|
E
Women undergoing adnexectomy for benign pathology
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Characterization of the immune cells infiltrate
Time Frame: At the time of diagnosis in the tumor tissue and on blood. For patients receiving chemotherapy, assessment on blood after cycle 3 and 6
|
Expression of multiple immune cell markers will be assessed in samples from different subtypes of epithelial ovarian cancer by flow cytometric analysis.
Percentages of individual immune cell populations among total tumor-infiltrating immune cells will be evaluated.
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At the time of diagnosis in the tumor tissue and on blood. For patients receiving chemotherapy, assessment on blood after cycle 3 and 6
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
To define the prognostic value of the immune cells infiltrate
Time Frame: From diagnosis until disease progression or study termination, whichever will occur first
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The prognostic value of the immune cell populations identified by flow cytometry will be evaluated by calculating the correlation coefficient between the percentage of the immune cell population and the progression-free interval.
|
From diagnosis until disease progression or study termination, whichever will occur first
|
Collaborators and Investigators
Collaborators
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Urogenital Diseases
- Genital Diseases
- Endocrine System Diseases
- Urogenital Neoplasms
- Neoplasms by Site
- Neoplasms
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Neoplasms by Histologic Type
- Genital Diseases, Female
- Endocrine Gland Neoplasms
- Neoplasms, Glandular and Epithelial
- Ovarian Diseases
- Adnexal Diseases
- Genital Neoplasms, Female
- Gonadal Disorders
- Carcinoma
- Ovarian Neoplasms
- Carcinoma, Ovarian Epithelial
- Investigative Techniques
- Specimen Handling
- Clinical Laboratory Techniques
- Diagnostic Techniques and Procedures
- Diagnosis
- Punctures
- Surgical Procedures, Operative
- Blood Specimen Collection
Other Study ID Numbers
- IOSI-GYNE-001
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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