Not provided
| ID | Type | Description | Link |
|---|---|---|---|
| L2-593 | Other Identifier | Comitato Etico Territoriale Lombardia 2 |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Class |
|---|---|
| Mario Negri Gynecologic Oncology group (MaNGO) | OTHER |
Not provided
Not provided
Not provided
Not provided
In recent years, the introduction of immune checkpoint inhibitors (ICI) in combination with chemotherapy has significantly changed the management of advanced and recurrent Endometrial Cancer (EC).
Despite these advances, responses to immunotherapy remain heterogeneous. Not all patients with mismatch repair-deficient (dMMR) tumors derive durable benefit, while a subset of mismatch repair-proficient (pMMR) tumors may respond. In addition, ICI treatment is associated with relevant costs and immune-related toxicities, highlighting the need for improved patient selection. To date, no validated predictive biomarkers beyond mismatch repair (MMR) status are available, reflecting limited understanding of the biological mechanisms underlying sensitivity and resistance to immunotherapy in EC.
This study aims to assess and integrate molecular and epigenetic features to identify prognostic and predictive biomarkers of immunotherapy response in endometrial cancer, and to explore their functional relevance using patient-derived experimental models.
Not provided
Not provided
Not provided
Not provided
Not provided
| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Prospective Exploratory Cohort | Experimental | Genomic, epigenomic, transcriptomic, proteomic, and lipidomic analyses |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Prospective exploratory cohort | Biological | Fresh tumor samples, paired with FFPE tissue, will be collected prior to initiation of immunotherapy and will be used to generate patient-derived three-dimensional tumoroids on a microfluidic organ-on-chip platform. |
| Measure | Description | Time Frame |
|---|---|---|
| Progression-Free Survival | Time from enrollment to first disease progression or death from any cause, whichever occurs first | 2 years |
| Overall Survival | Time from enrollment to death from any cause | 2 years |
Not provided
Not provided
Inclusion Criteria:
Exclusion Criteria:
Not provided
Not provided
Not provided
Not provided
Not provided
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Ilaria Betella, MD | Contact | +390257489431 | ilaria.betella@ieo.it |
| Name | Affiliation | Role |
|---|---|---|
| Ilaria Betella | European Institute of Oncology | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| European Institute of Oncology | Recruiting | Milan | Italy | 20141 | Italy |
Not provided
Not provided
Not provided
Not provided
Not provided
| ID | Term |
|---|---|
| D016889 | Endometrial Neoplasms |
| ID | Term |
|---|---|
| D014594 | Uterine Neoplasms |
| D005833 | Genital Neoplasms, Female |
| D014565 | Urogenital Neoplasms |
| D009371 | Neoplasms by Site |
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
Not provided
| D009369 |
| Neoplasms |
| D014591 | Uterine Diseases |
| D005831 | Genital Diseases, Female |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
| D000091642 | Urogenital Diseases |
| D000091662 | Genital Diseases |