NCT06441240

Brief Summary

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.

Trial Health

57
Monitor

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
933

participants targeted

Target at P75+ for all trials

Timeline
Completed

Started Nov 2023

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Start

First participant enrolled

November 1, 2023

Completed
6 months until next milestone

First Submitted

Initial submission to the registry

April 29, 2024

Completed
1 month until next milestone

First Posted

Study publicly available on registry

June 4, 2024

Completed
1.6 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2025

Completed
3 months until next milestone

Study Completion

Last participant's last visit for all outcomes

March 30, 2026

Completed
Last Updated

June 4, 2024

Status Verified

April 1, 2024

Enrollment Period

2.2 years

First QC Date

April 29, 2024

Last Update Submit

May 28, 2024

Conditions

Outcome Measures

Primary Outcomes (2)

  • Description of molecular subtypes

    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

    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 Outcomes (7)

  • Association between chemotherapy and neoplastic characteristics

    7 years

  • Evaluation of radiological response

    7 years

  • Frequency of complete pathological response

    7 years

  • Description of surgical treatment according to the cancer characteristics

    7 years

  • Description of adjuvant treatments

    7 years

  • +2 more secondary outcomes

Study Arms (1)

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

Diagnostic Test: MRI

Interventions

MRIDIAGNOSTIC_TEST

Breast MRI

Breast cancer patients underwent neoadjuvant chemotherapy

Eligibility Criteria

Age18 Years+
Sexfemale
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

All patients with breast cancer (Stage I, II, and III) undergoing NACT at our center between January 2014 and June 2021 will be included, for an estimated total of 933 patients.

You may qualify if:

  • 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.

You may not qualify if:

  • 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).

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Fondazione Policlinico Universitario A. Gemelli - IRCCS

Roma, Italy

RECRUITING

Related Publications (1)

  • Antonio F, Carbognin L, Paris I, Di Leone A, Orlandi A, Marazzi F, Mule A, Belli P, Rossi A, Magno S, Palazzo A, Masiello V, Santoro A, Fuso P, Bria E, D'Archi S, Scardina L, Sanchez AM, Giannarelli D, Paternello S, Garganese G, Scambia G, Tortora G, Masetti R, Franceschini G, Fabi A. Predictive risk factors of recurrence in breast cancer after neoadjuvant treatment: the NEORISK study. Future Oncol. 2025 Jul;21(17):2215-2223. doi: 10.1080/14796694.2025.2516410. Epub 2025 Jun 14.

MeSH Terms

Conditions

Breast NeoplasmsTriple Negative Breast NeoplasmsNeoplasm Recurrence, Local

Condition Hierarchy (Ancestors)

Neoplasms by SiteNeoplasmsBreast DiseasesSkin DiseasesSkin and Connective Tissue DiseasesNeoplastic ProcessesPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Alessandra Fabi

    Policlinico Gemelli

    PRINCIPAL INVESTIGATOR

Central Study Contacts

Study Design

Study Type
observational
Observational Model
CASE ONLY
Time Perspective
RETROSPECTIVE
Sponsor Type
OTHER
Responsible Party
SPONSOR

Study Record Dates

First Submitted

April 29, 2024

First Posted

June 4, 2024

Study Start

November 1, 2023

Primary Completion

December 31, 2025

Study Completion

March 30, 2026

Last Updated

June 4, 2024

Record last verified: 2024-04

Locations