MicroRNAs and Prognosis in Breast Cancer
BREMIR
MicroRNAs Methylation and Expression Profiling for Identification of Breast Cancer Patients at High Risk to Develop Distant Metastases
1 other identifier
observational
1,432
1 country
1
Brief Summary
Mono-centric, observational retrospective and prospective study, designed for breast cancer patients to identify novel miRNA based biomarker able to predict metastases development in breast cancer patients.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Oct 2014
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
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
Study Start
First participant enrolled
October 28, 2014
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 28, 2018
CompletedStudy Completion
Last participant's last visit for all outcomes
November 28, 2019
CompletedFirst Submitted
Initial submission to the registry
August 9, 2024
CompletedFirst Posted
Study publicly available on registry
August 15, 2024
CompletedAugust 15, 2024
August 1, 2024
4 years
August 9, 2024
August 13, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Risk of metastases development
Identification of miRNAs associated with the risk to develop distant metastases.
evaluation 5 and 10 years after diagnosis
Secondary Outcomes (1)
Overall Survival
evaluation 5 and 10 years after diagnosis
Study Arms (2)
Retrospective
Identification in a retrospective cohort of a miRNA panel associated with the development of distant metastases.The retrospective cohort consists of tumor and normal tissue obtained from breast cancer patients, stored at -80°C at the Laboratory of Oncology. Of these samples, 360 met the inclusion criteria.
Prospective
The association between miRNA expression and the clinical course of the disease identified in the retrospective cohort, is being confirmed in an independent prospective cohort. Both normal and tumor tissues of the patients, as well as plasma collected before surgery and at each follow-up time point, is being analyzed. Based on the annual number of surgeries performed at the Breast Surgery Unit, we initially estimated that the prospective cohort would consist of about 500 patients recruited over three years. Since the project was extended for additional two years the actual number of subject recruited was 972. In addition plasma sample for 100 breast benign condition was also collected as controls.
Interventions
Total RNA is extracted from tissue sample and selected miRNA quantified by PCR based relative quantification method (QPCR) with a standard curve.
miRNAs extracted from plasma samples are analysed by QPCR and/or ddPCR .
Selected samples from the retrospective cohort are profiled for miRNA expression by using GeneChip® miRNA 4.0 Array.
Eligibility Criteria
Retrospective Cohort: 260 patients diagnosed with breast cancer of any histological type that underwent surgery for breast cancer from 2004 to 2014. For all this subjects fresh frozen specimen collected at the time of surgery are available for DNA and/or RNA extraction. Prospective cohort: 1072 individuals were enrolled in this study from December 2014 to December 2019: 972 patients were affected by breast cancer, 100 patients showed benign breast lesions. For all this subjects fresh frozen specimen and/or FFPE sample at diagnosis, together with a plasma sample collected at the time of surgery are available for DNA and/or RNA extraction. For invasive breast cancer at least two plasma samples were colleted at surgery and after surgery. A third plasma sample is being collected at the eventual progression.
You may qualify if:
- Tissue samples from breast cancer cases diagnosed from 2004 to 2014 for which informed consent for tumour banking and complete clinicopathological and follow up data were available.
You may not qualify if:
- Pre-surgery neoadjuvant treatment for breast cancer with chemotherapy, lapatinib, trastuzumab, letrozole, anastrozole, exemestane or tamoxifen.
- Other cancers diagnosed in the last five years.
- Prospective Cohort:
- Ability to provide written informed consent; Age greater than 18 years; Histological diagnosis of Breast disease; First diagnosis of Breast Cancer; Syncronous distant metastasis absent.
- Stage IV breast cancer; Pre-surgery neoadjuvant treatment for breast cancer with chemotherapy, lapatinib, trastuzumab, letrozole, anastrozole, exemestane or tamoxifen; Other cancers diagnosed in the last five years; Alteration of mental status, dementia, or any psychiatric condition that might impair the ability to consciously sign the informed consent.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Casa sollievo della Sofferenza IRCCS
San Giovanni Rotondo, FG, 71013, Italy
Related Publications (5)
Barbano R, Pasculli B, Rendina M, Fontana A, Fusilli C, Copetti M, Castellana S, Valori VM, Morritti M, Graziano P, Luigi C, Coco M, Picardo F, Mazza T, Evron E, Murgo R, Maiello E, Esteller M, Fazio VM, Parrella P. Stepwise analysis of MIR9 loci identifies miR-9-5p to be involved in Oestrogen regulated pathways in breast cancer patients. Sci Rep. 2017 Mar 27;7:45283. doi: 10.1038/srep45283.
PMID: 28345661BACKGROUNDPasculli B, Barbano R, Fontana A, Biagini T, Di Viesti MP, Rendina M, Valori VM, Morritti M, Bravaccini S, Ravaioli S, Maiello E, Graziano P, Murgo R, Copetti M, Mazza T, Fazio VM, Esteller M, Parrella P. Hsa-miR-155-5p Up-Regulation in Breast Cancer and Its Relevance for Treatment With Poly[ADP-Ribose] Polymerase 1 (PARP-1) Inhibitors. Front Oncol. 2020 Aug 12;10:1415. doi: 10.3389/fonc.2020.01415. eCollection 2020.
PMID: 32903519BACKGROUNDPasculli B, Barbano R, Rendina M, Fontana A, Copetti M, Mazza T, Valori VM, Morritti M, Maiello E, Graziano P, Murgo R, Fazio VM, Esteller M, Parrella P. Hsa-miR-210-3p expression in breast cancer and its putative association with worse outcome in patients treated with Docetaxel. Sci Rep. 2019 Oct 17;9(1):14913. doi: 10.1038/s41598-019-51581-3.
PMID: 31624308BACKGROUNDFontana A, Barbano R, Dama E, Pasculli B, Rendina M, Morritti MG, Melocchi V, Castelvetere M, Valori VM, Ravaioli S, Bravaccini S, Ciuffreda L, Graziano P, Maiello E, Copetti M, Fazio VM, Esteller M, Bianchi F, Parrella P. Combined analysis of miR-200 family and its significance for breast cancer. Sci Rep. 2021 Feb 3;11(1):2980. doi: 10.1038/s41598-021-82286-1.
PMID: 33536459BACKGROUNDFontana 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: 41024243DERIVED
Biospecimen
RNA and DNA obtained from fresh frozen and/or FFPE tissues Plasma Sample for miRNA analyses
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- OTHER
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Medical Doctor
Study Record Dates
First Submitted
August 9, 2024
First Posted
August 15, 2024
Study Start
October 28, 2014
Primary Completion
October 28, 2018
Study Completion
November 28, 2019
Last Updated
August 15, 2024
Record last verified: 2024-08