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Clinical Translatability of "Identified" Circulating miRNAs for Diagnosing Breast Cancer: Overview and Update.

ABSTRACT: The effective management of patients with breast cancer (BC) depends on the early diagnosis of the disease. Currently, BC diagnosis is based on diagnostic imaging and biopsy, while the use of non-invasive circulating biomarkers for diagnosis remains an unmet need. Among the plethora of proposed non-invasive biomarkers, circulating microRNAs (miRNAs) have been considered promising diagnostic molecules because they are very stable in biological fluids and easily detectable. Although the discovery of miRNAs has opened a new avenue for their clinical application, the clinical translatability of these molecules remains unclear. This review analyses the role of circulating miRNAs as BC diagnostic biomarkers and focuses on two essential requirements to evaluate their clinical validity: i) Specificity and ii) consistent expression between the blood and tissue. These two issues were analyzed in depth using the Human miRNA Disease Database (HMDD v3.0) and the free search engine PubMed. One hundred and sixty three BC-associated miRNAs were selected and analyzed for their specificity among all human pathologies that shared deregulation (291) and consistent expression in the bloodstream and the tissue. In addition, we provide an overview of the current clinical trials examining miRNAs in BC. In conclusion, we highlight pitfalls in the translatability of circulating miRNAs into clinical practice due to the lack of specificity and a consistent expression pattern between the tissue and blood.

SUBMITTER: Grimaldi AM

PROVIDER: S-EPMC6678980 | biostudies-literature | 2019 Jun

REPOSITORIES: biostudies-literature

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Clinical Translatability of "Identified" Circulating miRNAs for Diagnosing Breast Cancer: Overview and Update.

Grimaldi Anna Maria AM Incoronato Mariarosaria M

Cancers 20190627 7

The effective management of patients with breast cancer (BC) depends on the early diagnosis of the disease. Currently, BC diagnosis is based on diagnostic imaging and biopsy, while the use of non-invasive circulating biomarkers for diagnosis remains an unmet need. Among the plethora of proposed non-invasive biomarkers, circulating microRNAs (miRNAs) have been considered promising diagnostic molecules because they are very stable in biological fluids and easily detectable. Although the discovery ...[more]

PMID: 31252695

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Project description:Breast cancer is a common disease with distinct tumor subtypes which can be phenotypically characterized by estrogen receptor, progesterone receptor and HER2/neu receptor status. MiRNAs play regulatory roles in tumor initiation and progression. Altered miRNA expression has been demonstrated in a variety of cancer states to date presenting the potential for exploitation as cancer specific biomarkers. Blood presents an attractive medium biomarker discovery. This study investigated systemic miRNAs differentially expressed in Luminal A (ER+PR+HER2/neu-) breast cancer and their effectiveness as oncologic biomarkers in the clinical setting. Blood samples were prospectively collected from consenting patients with Luminal A breast cancer (n=10) and controls (n=10). RNA was extracted, reverse transcribed and subjected to microarray analysis (n=10 Luminal A; n=10 Control). Differentially expressed miRNAs were identified by artificial neural network (ANN) data-mining algorithms. Ethical approval was granted by the Clinical Research Ethics Committee, Galway Roscommon University Hospital Group. Written informed consent was obtained from all study participants. Blood samples were prospectively collected from 20 women; this included 10 consecutive women with a new diagnosis of Luminal A breast cancer and 10 healthy control participants. Luminal A status was confirmed with immunohistochemistry and fluorescence in situ hybridization (FISH). The blood samples for the healthy control group were collected from women residing in the same catchment area as the cancer cases. These women had no personal history of malignancy and no current inflammatory or infectious condition. Venous non-fasting whole blood samples were collected in BD vacutainers ® containing 18mg dipotassium EDTA anticoagulant (BD-Plymouth, PL6 7BP, UK). Total RNA was extracted from blood (1ml) using TRI Reagent BD (Molecular Research Centre, Inc). RNA concentration and integrity were evaluated by NanoDrop spectrophotometry (NanoDrop ND-1000 Technologies Inc., DE, USA) and Agilent Bioanalyzer RNA 6000 NanoChip Kit Series II (Agilent Technologies, Germany) analysis, respectively. MiRNA microarray profiling Expression profiling of circulating miRNAs was performed using TaqMan miRNA arrays and assays in accordance with the manufacturer’s instructions (Taqman Low Density Array Human microRNA Card A and Card B, Applied Biosystems, Foster City, CA, USA). In short, total RNA was reverse transcribed using Megaplex primer pool A (Applied Biosystems) which contained sequence-specific primers for 381 specific miRNAs plus 3 controls (pool A). An additional panel of 384 miRNAs (381 miRNAs and 3 controls, pool B) was performed on a subset of 4 cancers and 4 controls. Real-time quantitative PCR was performed for 667 miRNAs, using A and B microfluidic cards, each containing primers and probes for 381 specific miRNAs plus 3 controls and thermal-cycled on an Applied Biosystems 7900HT instrument. The TLDA cards contain three endogenous controls (RNU44, RNU48 and MammU6 which is repeated four times on each card). Each card also contains a negative control, an assay unrelated to any human species, ath-miR-159a.

Dataset Information

Clinical Translatability of "Identified" Circulating miRNAs for Diagnosing Breast Cancer: Overview and Update.

Publications

Clinical Translatability of "Identified" Circulating miRNAs for Diagnosing Breast Cancer: Overview and Update.

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