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Trial Title:
Improving Endometrial Cancer Assessment by Combining Genomic Profiling and Surgical Assessment
NCT ID:
NCT06354738
Condition:
Endometrial Cancer
Conditions: Official terms:
Endometrial Neoplasms
Conditions: Keywords:
Endometrial Cancer
Genomic profiling
Molecular classification
Disease staging
Study type:
Interventional
Study phase:
N/A
Overall status:
Recruiting
Study design:
Allocation:
N/A
Intervention model:
Single Group Assignment
Primary purpose:
Treatment
Masking:
None (Open Label)
Intervention:
Intervention type:
Procedure
Intervention name:
total hysterectomy with bilateral salpingo-oophorectomy, lymph node staging and comprehensive peritoneal staging
Description:
Surgical treatment will consist of total hysterectomy with bilateral
salpingo-oophorectomy according to international guidelines.
In low- and intermediate-risk EC patients, staging will include a sentinel lymph node
(SLN) procedure. In high intermediate-risk and high-risk EC patients, lymph node staging
will involve SLN procedure and/or pelvic and para-aortic lymph node dissection (LND),
depending on the local protocol.
The Study-related procedures include infracolic omentectomy or two separate omental
representative biopsies, biopsies of all suspicious lesions as well as six peritoneal
sites (bladder, pouch of Douglas, bilateral paracolic gutter and bilateral diaphragm).
Stage IV patients will be treated according to European guidelines. When feasible, full
surgical intervention (i.e. debulking) is recommended. If this cannot be achieved, a
radiologic and/or histologic confirmation of tumor spread beyond the uterus will be
accepted.
Arm group label:
All women older than 18 newly diagnosed with endometrial cancer of all stages and histotypes
Summary:
EUGENIE is a prospective multicentre interventional study, focused on improving
endometrial cancer (EC) assessment by combining the new technique of genomic profiling
with surgical extra uterine disease assessment. The investigators aim to correlate EC
stage to each of the molecular subgroups of disease and thereby guide surgical treatment
and staging of EC by determining the association between molecular classification and
disease stage and evaluating if and how disease stage in each of the molecular subgroups
associates with prognosis.
Detailed description:
Current treatment for endometrial cancer (EC) includes a hysterectomy with bilateral
salpingo-oophorectomy. Further surgical staging procedures (lymphadenectomy, peritoneum,
and/or omentum biopsies) can be performed in order to detect metastases and determine the
disease stage. The type and extent of this surgical staging depend on a pre-operative
risk assessment and guides adjuvant treatment (chemo- or radiotherapy). However, this
pre-operative risk assessment based on histology and imaging is relatively inaccurate:
first, preoperative histology presents high intersubjective variability leading to poor
reproducibility in the assignment of histotype and the concordance between preoperative
histology and final histology is poor. In addition, preoperative imaging modalities are
expensive, time-consuming, hampered by non-perfect accuracies, require specialized
expertise, or present limitations in reproducibility and availability. As a result, this
leads to an incorrect risk estimation of metastases at diagnosis in EC patients with a
consequent over- or undertreatment of patients. Thus, there is an urgent need to develop
risk stratification strategies that will better predict the presence and localization of
metastases in EC patients and therefore more efficiently tailor surgical staging
procedures.
In 2013 The Cancer Genome Atlas (TCGA) Research Network developed a new molecularly
driven classification system, that divides EC tumours into the well-known four molecular
subgroups (POLE, MMRd, p53abn, NSMP) and has shown to surpass histologic subtyping and
grading to more efficiently predict prognosis. However, the relation between the four
molecular subgroups and the risk of tumour spread beyond the uterus at diagnosis has
insufficiently been investigated so far and, as a consequence, surgical staging should
not yet be adapted based on the molecular endometrial cancer subtype.
Thus, new studies are needed to assess the value of surgical staging in this molecular
era and EUGENIE Study has been developed to bridge this knowledge gap.
The investigators believe that the future is in integrating morphologic and molecular
findings, so the preoperative diagnosis will also support accurate surgical decision
making and therefore a more tailored management of all EC patients.
Criteria for eligibility:
Criteria:
Inclusion Criteria:
- Voluntary written informed consent of the participant or their legally authorized
representative has been obtained before any screening procedures
- Women ≥ 18 years
- First diagnosis of EC, all disease stages and all histo-types
Exclusion Criteria:
- Participant has a history of pelvic or para-aortic lymph node dissection or
sampling, previous pelvic (and/or para-aortic) radiotherapy, previous neoadjuvant
chemotherapy
- Any disorder, which in the Investigator's opinion might jeopardise the participant's
safety or compliance with the protocol
- Any prior or concomitant treatment(s) that might jeopardise the participant's safety
or that would compromise the integrity of the Study
Gender:
Female
Minimum age:
18 Years
Maximum age:
N/A
Healthy volunteers:
No
Locations:
Facility:
Name:
UZ Gasthuisberg, Katholieke Universiteit Leuven
Address:
City:
Leuven
Zip:
3000
Country:
Belgium
Status:
Recruiting
Contact:
Last name:
Ayaka Wakatsuki
Phone:
+32 16 34 41 69
Email:
ayaka.wakatsuki@uzleuven.be
Investigator:
Last name:
Frédéric Amant, MD, PhD
Email:
Principal Investigator
Start date:
January 16, 2023
Completion date:
November 1, 2028
Lead sponsor:
Agency:
University Hospital, Gasthuisberg
Agency class:
Other
Collaborator:
Agency:
Fondazione Policlinico Universitario Agostino Gemelli IRCCS
Agency class:
Other
Collaborator:
Agency:
University Medical Centre Maribor
Agency class:
Other
Source:
University Hospital, Gasthuisberg
Record processing date:
ClinicalTrials.gov processed this data on November 12, 2024
Source: ClinicalTrials.gov page:
https://clinicaltrials.gov/ct2/show/NCT06354738
https://pubmed.ncbi.nlm.nih.gov/36977506/