Differences in plasma microRNA content impair microRNA-based signature for breast cancer diagnosis in cohorts recruited from heterogeneous environmental sites
| Autor: | Christophe Poulet, Leon Mutesa, Jeanne P. Uyisenga, Aurélie Poncin, Jérôme Thiry, Claire Josse, Vincent Bours, Guy Jerusalem, Pierre Frères, Ahmed Debit |
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| Rok vydání: | 2021 |
| Předmět: |
Oncology
Adult medicine.medical_specialty Science Population Breast Neoplasms Article Breast cancer Medical research Internal medicine microRNA medicine Biomarkers Tumor Genetics Humans Circulating MicroRNA education Aged Cancer education.field_of_study Multidisciplinary business.industry Diagnostic test Middle Aged medicine.disease Computational biology and bioinformatics Gene Expression Regulation Neoplastic Medicine Female Microrna profiling business Specific population Biomarkers |
| Zdroj: | Scientific Reports Scientific Reports, Vol 11, Iss 1, Pp 1-15 (2021) |
| ISSN: | 2045-2322 |
| Popis: | Circulating microRNAs are non-invasive biomarkers that can be used for breast cancer diagnosis. However, differences in cancer tissue microRNA expression are observed in populations with different genetic/environmental backgrounds. This work aims at checking if a previously identified diagnostic circulating microRNA signature is efficient in other genetic and environmental contexts, and if a universal circulating signature might be possible. Two populations are used: women recruited in Belgium and Rwanda. Breast cancer patients and healthy controls were recruited in both populations (Belgium: 143 primary breast cancers and 136 healthy controls; Rwanda: 82 primary breast cancers and 73 healthy controls; Ntot = 434), and cohorts with matched age and cancer subtypes were compared. Plasmatic microRNA profiling was performed by RT-qPCR. Random Forest was used to (1) evaluate the performances of the previously described breast cancer diagnostic tool identified in Belgian-recruited cohorts on Rwandan-recruited cohorts and vice versa; (2) define new diagnostic signatures common to both recruitment sites; (3) define new diagnostic signatures efficient in the Rwandan population. None of the circulating microRNA signatures identified is accurate enough to be used as a diagnostic test in both populations. However, accurate circulating microRNA signatures can be found for each specific population, when taken separately. |
| Databáze: | OpenAIRE |
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