Validation of a Prognostic Method for Assessing the Risk of Distant Metastasis in Early-stage Breast Cancer
PORTENT
Dissecting the Role of miR-3916 and miR3613-5p in Breast Cancer and Developing a Metastases Predictor PORTENT Algorithm
1 other identifier
observational
1,000
1 country
1
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
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Mar 2022
Longer than P75 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
Study Start
First participant enrolled
March 10, 2022
CompletedFirst Submitted
Initial submission to the registry
August 4, 2025
CompletedFirst Posted
Study publicly available on registry
January 28, 2026
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 1, 2026
ExpectedStudy Completion
Last participant's last visit for all outcomes
December 31, 2026
January 30, 2026
January 1, 2026
4.2 years
August 4, 2025
January 29, 2026
Conditions
Keywords
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.
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.
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.
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.
Eligibility Criteria
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
- Casa Sollievo della Sofferenza IRCCSlead
- Istituto Tumori Giovanni Paolo II, BARIcollaborator
- IRCCS Centro di Riferimento Oncologico della Basilicatacollaborator
- Fondazione Humanitas per la Ricercacollaborator
- Fondazione IRCCS Policlinico San Matteo di Paviacollaborator
- Istituto Romagnolo per lo Studio dei Tumori Dino Amadori IRST S.r.l. IRCCScollaborator
- Istituto Nazionale Tumori Regina Elenacollaborator
- Fondazione IRCCS Istituto Nazionale dei Tumori, Milanocollaborator
- Istituto Nazionale Tumori IRCCS - Fondazione G. Pascalecollaborator
Study Sites (1)
Fondazione Casa Sollievo della Sofferenza IRCCS
San Giovanni Rotondo, FG, 71013, Italy
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
FFPE specimen, RNA extracted from FFPE specimen
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Paola Parrella, MD
Fondazione Casa Sollievo della Sofferenza, IRCCS
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
- 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.
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.