- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07305727
A Radiomic MRI Predictive Model for Response to Concomitant Chemoradiotherapy in Locally Advanced Cervical Cancer (EPICOL-R)
Developing a Radiomic MRI Model Predictive of Response to Concomitant Chemoradiotherapy in Locally Advanced Cervical Cancer. A Prognostic, Retrospective, Open-label, Multicenter, Descriptive and Analytical Clinical Cohort Study
Study Overview
Status
Detailed Description
Cervical cancer is an invasive cancer that develops from the squamous epithelium of the cervix. Worldwide, cervical cancer is the fourth most common cancer in women, with approximately 604,000 new cases in 2020.Treatment for locally advanced cervical cancer (FIGO stage IB3 to IVA) is based on a combination of radiotherapy and chemotherapy (cisplatin 40 mg/m2 x5 or 6 or carboplatin area under the curve 2 if cisplatin is contraindicated). Responses to concomitant chemoradiotherapy remain highly heterogeneous from one woman to another, and predicting the response to these treatments would allow early consideration of alternative therapies for patients identified as less responsive to standard treatments. Indeed, 5-year recurrence-free survival is approximately 79% for stages IB and IIA and 59% for stages III and IVA, with approximately 36% of local failures despite chemoradiotherapy.
The radiomic MRI approach in locally advanced cervical cancers has shown in a few studies to be prognostic for locoregional recurrence or survival. However, these models still need to be explored and validated before they can be implemented in routine clinical practice.
The EPICOL cohort is a clinical-biological cohort of 136 patients treated with chemoradiotherapy for locally advanced cervical cancer at the Montpellier Cancer Institute or Nîmes University Hospital.
The aim is to develop a predictive model of response to chemoradiotherapy based on radiomic data from pelvic MRIs before and after treatment from the EPICOL cohort.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Anissa MEGZARI
- Phone Number: 0466684236
- Email: drc@chu-nimes.fr
Study Contact Backup
- Name: Frédéric FITENI, Professor
- Phone Number: +334.34.03.46.69
- Email: frederic.fiteni@chu-nimes.fr
Study Locations
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Gard
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Nîmes, Gard, France, 30029
- Recruiting
- Nîmes University Hospital
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Patients treated with exclusive radio-chemotherapy for locally advanced cervical cancer (stage Ib-IVb according to the FIGO classification).
- Patients with a minimum of 2 years of post-treatment follow-up.
- Patients for whom the initial biopsy specimen (prior to treatment) is available.
- Patients who have not expressed their opposition to participating in the study.
- Patients who are affiliated with or beneficiaries of a health insurance plan.
Exclusion Criteria:
- Patients under judicial protection, guardianship, or curatorship
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Prognostic role of a magnetic resonance imaging radiomic model on progression-free survival in patients treated for locally advanced cervical cancer.
Time Frame: Month 24
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Time from diagnosis to death from any cause or progression (according to RECIST v1.1 criteria) at 24 months of follow-up.
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Month 24
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Prognostic role of an magnetic resonance imaging radiomic model on overall survival in patients treated for locally advanced cervical cancer.
Time Frame: Month 24
|
Time between treatment initiation and death from any cause at 24 months of follow-up.
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Month 24
|
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Correlation between the radiomic magnetic imaging radiomic model and Programmed cell Death protein 1 (PD-L1) expression.
Time Frame: Month 24
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Collection of Programmed cell Death protein 1 (PD-L1) expression levels from biopsies from the EPICOL cohort.
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Month 24
|
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Correlation between the radiomic magnetic resonance imaging model and tumor-infiltrating lymphocytes (TILs).
Time Frame: Month 24
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Collection of tumor-infiltrating lymphocyte (TIL) expression levels in biopsies from the EPICOL cohort.
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Month 24
|
Collaborators and Investigators
Publications and helpful links
General Publications
- Zola P, Fuso L, Mazzola S, Piovano E, Perotto S, Gadducci A, Galletto L, Landoni F, Maggino T, Raspagliesi F, Sartori E, Scambia G. Could follow-up different modalities play a role in asymptomatic cervical cancer relapses diagnosis? An Italian multicenter retrospective analysis. Gynecol Oncol. 2007 Oct;107(1 Suppl 1):S150-4. doi: 10.1016/j.ygyno.2007.07.028. Epub 2007 Sep 14.
- Pang SS, Murphy M, Markham MJ. Current Management of Locally Advanced and Metastatic Cervical Cancer in the United States. JCO Oncol Pract. 2022 Jun;18(6):417-422. doi: 10.1200/OP.21.00795. Epub 2022 Mar 14.
- Autorino R, Gui B, Panza G, Boldrini L, Cusumano D, Russo L, Nardangeli A, Persiani S, Campitelli M, Ferrandina G, Macchia G, Valentini V, Gambacorta MA, Manfredi R. Radiomics-based prediction of two-year clinical outcome in locally advanced cervical cancer patients undergoing neoadjuvant chemoradiotherapy. Radiol Med. 2022 May;127(5):498-506. doi: 10.1007/s11547-022-01482-9. Epub 2022 Mar 24.
- Bizzarri N, Russo L, Dolciami M, Zormpas-Petridis K, Boldrini L, Querleu D, Ferrandina G, Pedone Anchora L, Gui B, Sala E, Scambia G. Radiomics systematic review in cervical cancer: gynecological oncologists' perspective. Int J Gynecol Cancer. 2023 Oct 2;33(10):1522-1541. doi: 10.1136/ijgc-2023-004589.
- Halle MK, Hodneland E, Wagner-Larsen KS, Lura NG, Fasmer KE, Berg HF, Stokowy T, Srivastava A, Forsse D, Hoivik EA, Woie K, Bertelsen BI, Krakstad C, Haldorsen IS. Radiomic profiles improve prognostication and reveal targets for therapy in cervical cancer. Sci Rep. 2024 May 17;14(1):11339. doi: 10.1038/s41598-024-61271-4.
- Li H, Zhu M, Jian L, Bi F, Zhang X, Fang C, Wang Y, Wang J, Wu N, Yu X. Radiomic Score as a Potential Imaging Biomarker for Predicting Survival in Patients With Cervical Cancer. Front Oncol. 2021 Aug 16;11:706043. doi: 10.3389/fonc.2021.706043. eCollection 2021.
Study record dates
Study Major Dates
Study Start (Estimated)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Estimated)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
- Urogenital Diseases
- Genital Diseases
- Urogenital Neoplasms
- Neoplasms by Site
- Female Urogenital Diseases
- Female Urogenital Diseases and Pregnancy Complications
- Uterine Diseases
- Genital Diseases, Female
- Genital Neoplasms, Female
- Uterine Cervical Diseases
- Uterine Neoplasms
- Neoplasms
- Uterine Cervical Neoplasms
Other Study ID Numbers
- SIRIC/2024/FF01
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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