Actively Recruiting

FEMALE
ID06680791

Molecular Classification in Relation to Prevention of Endometrial Cancer Recurrence and Lifestyle Factors

Led by Lukas Vanek · Updated on 2024-11-08

280

Participants Needed

1

Research Sites

52 weeks

Total Duration

On this page

Sponsors

L

Lukas Vanek

Lead Sponsor

N

National Institute of Public Health, Czech Republic

Collaborating Sponsor

AI-Summary

What this Trial Is About

Endometrial cancer (EC) is a common cancer in women, with rising cases linked to factors like obesity, hypertension, diabetes, and aging. This research aims to study the relationship between the molecular classification of EC and genetic mutation patterns found through whole-exome sequencing. It also explores how lifestyle risk factors and surgical decisions, such as the extent of lymphadenectomy, relate to these genetic profiles and may affect disease development and recurrence. The study focuses on defining specific genetic mutation signatures in EC patients and analyzing their connection to molecular subtypes, especially in cases without a specific profile or with p53 mutations. Researchers will investigate how these mutations associate with lifestyle factors like BMI, hypertension, and diabetes. Additionally, the project seeks to link mutation profiles with the extent of lymphadenectomy surgery and develop methods to detect tumor DNA in blood to monitor recurrence risk. Participants will undergo genetic testing during surgery and complete quality of life and physical activity questionnaires before surgery and at 6, 12, and 24 months afterward. Blood samples for circulating tumor DNA analysis will be collected at surgery and during follow-up visits. The study aims to understand how genetic and lifestyle factors influence EC prognosis and recurrence, helping to guide treatment and prevention strategies over a 2-year follow-up period.

CONDITIONS

Brief Title

Molecular Classification in Relation to Prevention of Endometrial Cancer Recurrence and Lifestyle Factors

Who Can Participate

FEMALE

Eligibility Criteria

Eligible

You may qualify if you...

  • Clinical diagnosis of endometrial cancer
  • Treated with uterine removal with adequate staging
Not Eligible

You will not qualify if you...

  • There are no exclusion criteria in this study.

AI-Screening

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Your Study Journey

Screening

Duration - 2 to 4 weeks

Participants are screened for eligibility to participate in the trial.

Diagnostic Evaluation

Duration - Day of surgery

Participants undergo surgery to obtain tumor samples and blood samples for genetic and molecular analysis.

1 visit (in-person)

Long-term Monitoring

Duration - 24 months

Participants complete questionnaires and provide blood samples to monitor quality of life, physical activity, and circulating tumor DNA to detect potential recurrence.

Visits at 6, 12, and 24 months after surgery

Trial Site Locations

Total: 1 location

1

Faculty Hospital Královské Vinohrady

Prague, Czechia

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Research Team

M

Michael Halaška, prof. MUDr.

V

Věra Štěpánková

How is the study designed?

Study Type

OBSERVATIONAL

Masking

N/A

Allocation

N/A

Model

N/A

Primary Purpose

N/A

Number of Arms

0

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Published Research Related To This Trial

Analysis of mutational signatures in primary and metastatic endometrial cancer reveals distinct patterns of DNA repair defects and shifts during tumor progression.

Charles W Ashley, Arnaud Da Cruz Paula, Rahul Kumar...

https://pubmed.ncbi.nlm.nih.gov/30415991

Risk of endometrial, ovarian and breast cancer in women with polycystic ovary syndrome: a systematic review and meta-analysis.

John A Barry, Mallika M Azizia, Paul J Hardiman

https://pubmed.ncbi.nlm.nih.gov/24688118

Targeted next-generation sequencing of endometrial cancer and matched circulating tumor DNA: identification of plasma-based, tumor-associated mutations in early stage patients.

Ana M Bolivar, Rajyalakshmi Luthra, Meenakshi Mehrotra...

https://pubmed.ncbi.nlm.nih.gov/30315273

ROCplot.org: Validating predictive biomarkers of chemotherapy/hormonal therapy/anti-HER2 therapy using transcriptomic data of 3,104 breast cancer patients.

János T Fekete, Balázs Győrffy

https://pubmed.ncbi.nlm.nih.gov/31020993