- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05976113
A Retrospective Study on Multiple Classifier Endometrial Cancer
Multiple Classifier Endometrial Cancer
Endometrial cancer is not a single entity but rather a very heterogeneous group of diseases. Historically, endometrial cancer patients have been classified as endometrioid (type I) or non-endometrioid (type II) according to the dualistic Bokhman model- However, this approach has been limited in accurately predicting prognosis and guiding treatment owing to heterogeneity within subtypes, inadequate incorporation of molecular and genetic information, and high interobserver variability .
In the last ten years, after the publication of The Cancer Genome Atlas (TCGA)[5], the molecular classification of endometrial cancer into four molecular subtypes [(i) POLE/ultramutated group (POLE mutated), (ii) mismatch repair deficiency/microsatellite-instable, hypermutated group (MMRd/MSI-H), (iii) copy-number-high, TP53-mutant (CNH/p53abn), and (iv) copy-number-low, TP53-wild-type (CNL, or No Specific Mutational Profile [NSMP])] has rapidly gained interest. Recently, the European Societies of Gynaecological Oncology, Radiotherapy and Oncology, and Pathology (ESGO-ESTRO-ESP), the European Society of Medical Oncology (ESMO), the National Comprehensive Cancer Network (NCCN), and the new 2023 International Federation of Gynecology and Obstetrics (FIGO) staging system have promoted the use of (surrogate) molecular classification. Retrospective studies supported the value of adopting molecular classification to offer reliable data on prognostication and adjuvant treatment decisions. Although no prospective data are available, current guidelines promote the use of molecular profiles to tailor adjuvant treatment after surgery. As only a few retrospective studies have investigated the association between molecular profiles and response to various adjuvant treatments, it is important to note that data are limited. Interestingly, the growing adoption of molecular profiling led to the detection of a subgroup of tumors called multiple classifiers, characterized by multiple (two or three) molecular features. According to the guidelines, tumors with a POLE mutation should be considered POLEmut, regardless of other molecular features, whereas MMRd/MSI-H tumors with a p53 abnormality should be considered MMRd/MSI-H. Data on these patients is limited and fragmentary. The aforementioned consensus is based solely on a large retrospective cohort of multiple classifiers collected by Leon-Castillo et al.. Hence, to fill this literature gap, the investigators designed this retrospective study, which aimed to collect multiple classifiers patients to improve knowledge on this emerging category.
Study Overview
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Locations
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Milan, Italy, 20133
- Recruiting
- Fondazione IRCCS Istituto Nazionale dei Tumori di Milano
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Contact:
- Giorgio Bogani
- Phone Number: 3803933116
- Email: giorgiobogani@yahoo.it
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
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Patients with multiple classifier endometrial cancer
Endometrial cancer patients who have two or more molecular features
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Just obsrevation following standard of care (including surgery, chemotherapy and radiation when appropriate)
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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progression-free survival
Time Frame: 24 months
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24 months
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Collaborators and Investigators
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
Other Study ID Numbers
- 1402020
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
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