NCT07372261

Brief Summary

This is a multicenter, observational validation study designed to evaluate the prognostic performance of the PORTENT algorithm in patients with early-stage breast cancer. The model integrates clinicopathological variables and the expression levels of two small non-coding RNAs (miR-3916 and miR-3613-5p) to estimate individual risk of developing distant metastases. The primary objective is to assess the discriminatory ability of the PORTENT algorithm for predicting distant metastasis at predefined time points after diagnosis.

Trial Health

75
On Track

Trial Health Score

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

Enrollment
1,000

participants targeted

Target at P75+ for all trials

Timeline
8mo left

Started Mar 2022

Longer than P75 for all trials

Geographic Reach
1 country

1 active site

Status
enrolling by invitation

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 Progress86%
Mar 2022Dec 2026

Study Start

First participant enrolled

March 10, 2022

Completed
3.4 years until next milestone

First Submitted

Initial submission to the registry

August 4, 2025

Completed
6 months until next milestone

First Posted

Study publicly available on registry

January 28, 2026

Completed
4 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

June 1, 2026

Expected
7 months until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2026

Last Updated

January 30, 2026

Status Verified

January 1, 2026

Enrollment Period

4.2 years

First QC Date

August 4, 2025

Last Update Submit

January 29, 2026

Conditions

Keywords

microRNAmetastasesprognosis

Outcome Measures

Primary Outcomes (2)

  • Discriminatory Performance of the Prognostic Algorithm (AUC) for Prediction of Distant Metastasis Within 5 Years From Diagnosis

    Area under the Receiver Operating Characteristic (ROC) curve (AUC) with 95% confidence intervals for patient-level risk probabilities generated by the prognostic algorithm to predict the occurrence of distant metastases within 5 years after breast cancer diagnosis. Discrimination will be assessed using ROC curve analysis and DeLong's test.

    5 years from diagnosis; interim analysis at March 2027.

  • Discriminatory Performance of the Prognostic Algorithm (AUC) for Prediction of Distant Metastasis Within 10 Years From Diagnosis

    Area under the Receiver Operating Characteristic (ROC) curve (AUC) with 95% confidence intervals for patient-level risk probabilities generated by the prognostic algorithm to predict the occurrence of distant metastases within 10 years after breast cancer diagnosis. Discrimination will be assessed using ROC curve analysis and DeLong's test.

    10 years from diagnosis; final analysis after completion of 10-year follow-up for all participants (expected by 2029).

Secondary Outcomes (8)

  • Calibration of the Prognostic Model at 5 Years (Integrated Calibration Index)

    5 years from diagnosis; interim analysis at March 2027.

  • Calibration of the Prognostic Model at 10 Years (Integrated Calibration Index)

    10 years from diagnosis; final analysis after completion of 10-year follow-up (expected by 2029).

  • Difference in Discriminatory Performance Between Prognostic Models (ΔAUC) at 5 Years

    5 years from diagnosis; interim analysis at March 2027.

  • Difference in Discriminatory Performance Between Prognostic Models (ΔAUC) at 10 Years

    10 years from diagnosis; final analysis after completion of 10-year follow-up (expected by 2029).

  • Classification Performance of the Prognostic Algorithm at 10 Years (Sensitivity, Specificity, PPV, NPV)

    10 years from diagnosis; final analysis after completion of 10-year follow-up (expected by 2029).

  • +3 more secondary outcomes

Other Outcomes (3)

  • Identification and Analytical Validation of miRNA Target Genes

    Data collection and analyses completed by March 2027.

  • Correlation of miRNA Target Gene Expression With Clinical Outcomes and Clinicopathological Features

    Up to 10 years from diagnosis; final analysis after completion of follow-up (expected by 2029).

  • Improvement in Prognostic Risk Classification (NRI and IDI)

    5 and 10 years from diagnosis; final analysis after completion of follow-up (expected by 2029).

Study Arms (3)

CSS Cohort

350 stage 1 to 3A patients will be selected from the BREMIR study (ID NCT06555354) prospective cohort.

Diagnostic Test: Validation of Prognostic tool

External Cohort

The External\_cohort will include patients enrolled retrospectively from the centers participating in the study. A total of at least 450 patients will be selected, with residual tumor tissue available at the respective Pathology Departments. Each center will enroll a minimum of 75 patients, comprising 60 who remain disease-free after at least 5 years of follow-up and 15 who experience metastatic progression after at least 3 years of follow-up.

Diagnostic Test: Validation of Prognostic tool

INT-Milan

The INT\_Milan cohort includes 300 Luminal A breast cancer cases treated with neoadjuvant therapy, with available pre-treatment and/or surgical residual tumor tissue.

Diagnostic Test: Validation of Prognostic tool

Interventions

Collection of Clinical History: Clinical data, including medical history, clinicopathological features (e.g., age, histology, receptor and nodal status), and follow-up information (presence or absence of metastasis, patient vital status), will be collected and entered into a dedicated platform by. Follow-up updates are scheduled by Month 48 of the project (December 31, 2025) to ensure timely and accurate patient outcome data. Laboratory Analysis: Residual tumor sections prepared by the Pathology Unit of each participating center will be sent to the Oncology Laboratory at CSS-IRCCS, where RNA will be extracted using standardized experimental procedures. Expression levels of miR-3916, miR-3613-5p, and their target genes will be analyzed by quantitative real-time PCR (RT-qPCR). Protein expression of target genes will be assessed via immunohistochemistry. Additionally, the extracted RNA will be analyzed at the Gerobiomics and Exposomics Laboratory of IRST IRCCS.

CSS CohortExternal CohortINT-Milan

Eligibility Criteria

Age18 Years+
Sexfemale(Gender-based eligibility)
Gender Eligibility DetailsFemale
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The study includes three cohorts: CSS-cohort\_2: 350 cases with ≥5 years follow-up, prospectively enrolled 2014-2019 within the TRANSCAN-BREMIR Study (Refs: Prot 116/CE 30/09/2014; Prot 140/CE 28/10/2014; Prot 150/CE 24/10/2018). External cohort: ≥450 patients with available residual tumor tissue, retrospectively selected; each center enrolls ≥75 patients (60 disease-free ≥5 years, 15 with metastatic progression ≥3 years). INT\_Milan cohort: 300 Luminal A breast cancer cases treated with neoadjuvant therapy, with pre-treatment and/or surgical residual tumor tissue available.

You may qualify if:

  • Stage I-III breast cancer
  • Residual tumor tissue available
  • Written informed consent

You may not qualify if:

  • Age \<18
  • Stage IV at diagnosis
  • Refusal or inability to provide informed consent

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Fondazione Casa Sollievo della Sofferenza IRCCS

San Giovanni Rotondo, FG, 71013, Italy

Location

Related Publications (1)

  • Fontana A, Barbano R, Pasculli B, Mazza T, Palumbo O, Binda E, Trivieri N, Mencarelli G, Laurenzana I, Lamorte D, De Luca L, Caivano A, Biagini T, Rendina M, Lo Mele A, Prencipe G, Bravaccini S, Murgo R, Ciuffreda L, Morritti M, Valori VM, Di Lisa FS, Vici P, Castelvetere M, Carella M, Graziano P, Maiello E, Copetti M, Esteller M, Parrella P. Development of a microRNA-based prognostic model for accurate prediction of distant metastasis in breast cancer patients. Breast Cancer Res. 2025 Sep 29;27(1):170. doi: 10.1186/s13058-025-02124-4.

    PMID: 41024243BACKGROUND

Biospecimen

Retention: SAMPLES WITH DNA

FFPE specimen, RNA extracted from FFPE specimen

MeSH Terms

Conditions

Neoplasm Metastasis

Condition Hierarchy (Ancestors)

Neoplastic ProcessesNeoplasmsPathologic ProcessesPathological Conditions, Signs and Symptoms

Study Officials

  • Paola Parrella, MD

    Fondazione Casa Sollievo della Sofferenza, IRCCS

    PRINCIPAL INVESTIGATOR

Study Design

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

Study Record Dates

First Submitted

August 4, 2025

First Posted

January 28, 2026

Study Start

March 10, 2022

Primary Completion (Estimated)

June 1, 2026

Study Completion (Estimated)

December 31, 2026

Last Updated

January 30, 2026

Record last verified: 2026-01

Data Sharing

IPD Sharing
Will share

Individual participant data (IPD), including raw tumor expression data, clinicopathological features, and follow-up information collected during this study, may be shared with participating centers and other qualified researchers upon formal request. Data sharing will be conducted under strict data use agreements to ensure confidentiality, data security, and compliance with all applicable ethical and legal standards. Access to IPD will be granted solely for scientifically valid, collaborative research purposes following approval by the study steering committee or data access committee. Requests must include a detailed research proposal, data management plan, and evidence of ethical approval. This policy promotes transparency, facilitates scientific collaboration, and aims to maximize the utility of collected data while protecting participant privacy and rights.

Shared Documents
STUDY PROTOCOL, SAP, ANALYTIC CODE
Time Frame
Data will be available starting six months after primary study publication and will remain accessible for up to five years.
Access Criteria
Access to individual participant data (IPD) and supporting documents-including the study protocol, statistical analysis plan, and analytic code-will be granted to qualified researchers affiliated with participating centers or external institutions. Researchers must submit a formal request including a detailed research proposal and data management plan. Upon approval by the study steering committee or data access committee, data will be shared under data use agreements ensuring confidentiality and compliance with ethical standards. Access will be provided via secure data transfer platforms. Shared data will include de-identified raw tumor expression data, clinicopathological variables, and follow-up information, enabling collaborative research while protecting participant privacy.

Locations