ClinicalTrials.gg
CompletedNCT06555354BREMIRUpdated Aug 15, 2024

MicroRNAs and Prognosis in Breast Cancer

An observational study in Breast Cancer Female and Metastases Breast, sponsored by Casa Sollievo della Sofferenza IRCCS. Completed at 1 site in Italy. Open to female participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2024-08-15.

Sponsored by Casa Sollievo della Sofferenza IRCCS · Observational

Study type
Observational
Model
Cohort
Time perspective
Other
Enrollment
1,432
Ages
18 Years and older
Sex
Female
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Study 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.

Read the detailed description

The potential role of miRNAs will be studied as a predictor of metastases development. miRNAs expression and miRNAs promoter methylation will be evaluated in surgically removed specimens obtained from breast cancer patients at diagnosis. Relevant miRNAs will be first identified by analysing a retrospective breast cancer cohort including at least and subsequently validated on a prospective cohort.

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Conditions studied

  • Breast Cancer Female
  • Metastases Breast

Keywords

  • microRNA
  • prognosis
  • risk prediction
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In context

Lead sponsor

Casa Sollievo della Sofferenza IRCCS is the lead sponsor of 19 studies on the registry; 3 are open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
Female
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

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.

Eligibility criteria

Retrospective Cohort

Inclusion Criteria:

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.

Exclusion Criteria:

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:

Inclusion Criteria:

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.

Exclusion Criteria:

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.

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Study design

Observational model
Cohort
Time perspective
Other
Enrollment
1,432 participants (actual)
Patient registry
No
Biospecimen retention
Samples without dna

Groups and cohorts

  • 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.

    Diagnostic Test: miRNA targeted analysis on breast cancer tissues · Diagnostic Test: miRNA profiling of breast cancer tissues

  • 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.

    Diagnostic Test: miRNA targeted analysis on breast cancer tissues · Diagnostic Test: miRNA targeted analysis on plasma samples

Interventions

  • Diagnostic testmiRNA targeted analysis on breast cancer tissues

    Total RNA is extracted from tissue sample and selected miRNA quantified by PCR based relative quantification method (QPCR) with a standard curve.

  • Diagnostic testmiRNA targeted analysis on plasma samples

    miRNAs extracted from plasma samples are analysed by QPCR and/or ddPCR .

  • Diagnostic testmiRNA profiling of breast cancer tissues

    Selected samples from the retrospective cohort are profiled for miRNA expression by using GeneChip® miRNA 4.0 Array.

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What researchers measure

Primary outcomes

  1. Risk of metastases development

    Identification of miRNAs associated with the risk to develop distant metastases.

    Time frame: evaluation 5 and 10 years after diagnosis

Secondary outcomes

  1. Overall Survival

    Identification of miRNAs associated with the risk of cancer specific death

    Time frame: evaluation 5 and 10 years after diagnosis

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Study locations

1 site
  • Casa sollievo della Sofferenza IRCCS
    San Giovanni Rotondo, FG 71013, Italy
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References and documents

Publications

  • 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. PubMed 28345661 ↗
  • Pasculli 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. PubMed 32903519 ↗
  • Pasculli 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. PubMed 31624308 ↗
  • Fontana 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. PubMed 33536459 ↗
  • 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. PubMed 41024243 ↗

Study documents

PDFs hosted by the registry, ClinicalTrials.gov.

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Aug 15, 2024, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT06555354
Lead sponsor
Casa Sollievo della Sofferenza IRCCS
Responsible party
Paola Parrella (Medical Doctor, Casa Sollievo della Sofferenza IRCCS) — Principal investigator
First posted
Aug 15, 2024
Start date
Oct 28, 2014
Primary completion
Oct 28, 2018
Completion
Nov 28, 2019
Last update
Aug 15, 2024

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Aug 2024. You cannot join it, but the record below documents what was studied.

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