- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT06441240
Evaluation of Recurrence Risk Factors in Locally Advanced Breast Cancer Patients Underwent Neoadjuvant Chemotherapy. (NEORISK)
Evaluation of Recurrence Risk Factors in Locally Advanced Breast Cancer Patients Underwent Neoadjuvant Chemotherapy. The NEORISK Study.
INTRODUCTION Breast cancer (BC) is the leading cause of cancer-related death in women. Since the early 1980s, the implementation of screening programs has reduced the number of patients diagnosed with locally advanced breast cancer. Currently, the treatment for these patients involves initial neoadjuvant chemotherapy (NACT) followed by surgical treatment. In recent years, NACT has also been used for highly chemoresponsive tumors such as triple-negative (TN) and HER2-positive (HER2+) breast cancer.
The widespread use of NACT has led to additional benefits, including downstaging of breast and axillary neoplasms, resulting in reduced morbidity; improved cosmetic outcomes due to increased use of conservative interventions; and personalized adjuvant chemotherapy treatment. Several studies have shown that response to chemotherapy predicts better systemic outcomes. Complete pathological response (pCR), defined as the absence of invasive neoplastic residue in the surgical specimen, has been predictive of better distant outcomes. Limited evidence exists regarding other predictive factors for distant outcomes.
Given the significant impact of disease recurrence on patient prognosis, efforts have been made to understand the factors contributing to recurrence and to predict which patients are more prone to relapse. In this context, the term "Early Disease Recurrence" (EDR) has been coined to define the occurrence of disease recurrence, both locally and distantly, within 3 years after completing treatment.
In recent years, the potential of radiomic analysis in aiding diagnostic and therapeutic decision-making processes in BC has been demonstrated. Specifically, radiomic features obtained from Magnetic Resonance Imaging (MRI) images appear capable of predicting tumor receptor status, differentiating tumor subtypes, and predicting response to NACT.
Although the role of radiomics in predicting recurrence has been investigated, research is still in its early stages, and there are variations in technology and methodology for extracting radiomic features. Additionally, to date, no studies have evaluated the feasibility and reliability of using radiomic models combined with clinical and radiological variables to predict disease recurrence in BC patients undergoing NACT.
Study Overview
Status
Conditions
Intervention / Treatment
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Alessandra Fabi
- Phone Number: 0630157337
- Email: alessandra.fabi@policlinicogemelli.it
Study Contact Backup
- Name: Antonio Franco
- Phone Number: 0630157337
- Email: antonio.franco@guest.policlinicogemelli.it
Study Locations
-
-
-
Roma, Italy
- Recruiting
- Fondazione Policlinico Universitario A. Gemelli - IRCCS
-
Contact:
- Alessandra Fabi
- Phone Number: +390630153773
- Email: alessandra.fabi@policlinicogemelli.it
-
Contact:
- Alessandra Fabi
- Phone Number: +390630155701
- Email: alessandra.fabi@policlinicogemelli.it
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Histological diagnosis of locally advanced Luminal or HER2+ or Triple-negative breast cancer (cT2, T3, T4 N0 or any T N1, N2, N3, M0), clinical stage of disease from I to III.
- Patient undergoing neoadjuvant chemotherapy treatment from January 1, 2014, to June 30, 2021.
- Age > 18 years
- Availability of clinical data, staging MRI diagnostic images (for the radiomic sub-study), and biomolecular data.
Exclusion Criteria:
- Previous or synchronous history of systemic malignancies.
- History of ipsilateral or contralateral breast neoplasia.
- Evidence of metastatic disease (Stage IV).
- Neoadjuvant treatment with hormone therapy.
- Patients with unavailable or low-quality MRI images that did not allow lesion identification (for the radiomic study only).
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Breast cancer patients underwent neoadjuvant chemotherapy
Patients undergoing neoadjuvant chemotherapy and subsequent surgical treatment.
Patients must have undergone radiological evaluation by MRI at the beginning and end of chemotherapy treatment
|
Breast MRI
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Description of molecular subtypes
Time Frame: 7 years
|
Frequency of molecular subtypes (Her2 positive, hormone receptor-positive/Her2 negative, Triple Negative) in the considered cases
|
7 years
|
|
Association between radiomic features and risk of recurrence
Time Frame: 7 years
|
Association between radiomic features extracted from pre-operative MRI and the onset of disease recurrence within 3 years from the end of neoadjuvant treatment
|
7 years
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Association between chemotherapy and neoplastic characteristics
Time Frame: 7 years
|
Evaluate whether clinical features (divided into: age assessed in years, menopausal status divided into menopausal or fertile age), radiological features such as initial extent of disease and lymph node involvement at diagnosis) and biomolecular features (such as histotype: divided into ductal, lobular or nonspecial type, grading, hormone receptor status) influence response to neoadjuvant chemotherapy Translated with DeepL.com (free version) |
7 years
|
|
Evaluation of radiological response
Time Frame: 7 years
|
Frequency of radiological response according to molecular subtype, treatment, type of imaging examination used, and initial staging.
|
7 years
|
|
Frequency of complete pathological response
Time Frame: 7 years
|
Frequency of complete pathological response according to molecular subtype, treatment, and initial staging.
|
7 years
|
|
Description of surgical treatment according to the cancer characteristics
Time Frame: 7 years
|
Frequency of surgical procedures based on radiological response, molecular subtypes, and initial staging.
|
7 years
|
|
Description of adjuvant treatments
Time Frame: 7 years
|
Frequency of adjuvant therapies based on neoadjuvant treatment, molecular subtypes, and initial staging.
|
7 years
|
|
Evaluation of oncological outcomes
Time Frame: 7 years
|
Disease-free survival (DFS) measured from the start of neoadjuvant therapy to the first evidence of disease recurrence or death, whichever occurs first.
|
7 years
|
|
Assessment of risk of recurrence using models
Time Frame: 7 years
|
Accuracy of pure models (radiomic/clinical/radiological) and combined models in predicting disease recurrence within 3 years from the end of neoadjuvant treatment
|
7 years
|
Collaborators and Investigators
Investigators
- Principal Investigator: Alessandra Fabi, Policlinico Gemelli
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 (Estimated)
Study Record Updates
Last Update Posted (Estimated)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 6081
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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