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Perepechaeva ML, Studenikina AA, Grishanova AY, Glushkov AN, Polenok EG, Bajramov PV, Autenshlyus AI. Serum miR-181a and miR-25 in patients with malignant and benign breast diseases. BIOMEDITSINSKAIA KHIMIIA 2023; 69:307-314. [PMID: 37937433 DOI: 10.18097/pbmc20236905307] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Breast tumor diseases include a wide range of pathologies that require different approaches to their treatment. MicroRNA (miR) levels, reflecting regulation of the gene expression involved in tumorigenesis, can be diagnostic and prognostic markers of breast diseases. The levels of circulating miR-181a and miR-25 were measured in patients with benign breast diseases (BBD), patients with invasive carcinoma of a nonspecific type (ICNT) and also in conditionally healthy women. Expression of both miRs was higher in patients of both groups as compared to controls; at the same time, the content of serum miR-181a and miR-25 was higher in BBD patients than in ICNT patients. The detected changes may be of interest in the context of precancerous changes in BBD. It seems possible to use them in the future as markers of the pathological process as a part of a large diagnostic panel.
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Affiliation(s)
- M L Perepechaeva
- Novosibirsk State Medical University, Novosibirsk, Russia; Research Institute of Molecular Biology and Biophysics, Federal Research Center for Fundamental and Translational Medicine, Novosibirsk, Russia
| | - A A Studenikina
- Novosibirsk State Medical University, Novosibirsk, Russia; Research Institute of Molecular Biology and Biophysics, Federal Research Center for Fundamental and Translational Medicine, Novosibirsk, Russia
| | - A Yu Grishanova
- Research Institute of Molecular Biology and Biophysics, Federal Research Center for Fundamental and Translational Medicine, Novosibirsk, Russia
| | - A N Glushkov
- Institute of Human Ecology of the Federal Research Center of Coal and Coal Chemistry SB RAS, Kemerovo, Russia
| | - E G Polenok
- Institute of Human Ecology of the Federal Research Center of Coal and Coal Chemistry SB RAS, Kemerovo, Russia
| | - P V Bajramov
- M.S. Rappoport Kuzbass Clinical Oncologic Dispensary, Kemerovo, Russia
| | - A I Autenshlyus
- Novosibirsk State Medical University, Novosibirsk, Russia; Research Institute of Molecular Biology and Biophysics, Federal Research Center for Fundamental and Translational Medicine, Novosibirsk, Russia
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2
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Krupp K, Segar JM, Fernández-Martínez JL, Madhivanan P. MicroRNAs: Emerging as Highly Promising Biomarkers for Early Breast Cancer Screening. JOURNAL OF CLINICAL AND LABORATORY MEDICINE 2023; 6:273. [PMID: 37937319 PMCID: PMC10629926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Grants] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Affiliation(s)
- Karl Krupp
- Public Health Practice, Policy, & Translational Research Department, Mel and Enid Zuckerman College of Public Health, University of Arizona, 550 E. Van Buren Street, UA Phoenix - Plaza Building 1, Phoenix AZ 850063, USA
| | - Jennifer M Segar
- University of Arizona Cancer Center - UAHS, University of Arizona College of Medicine, Tucson, 1501 N. Campbell Avenue, PO Box 245017, Tucson, AZ 85724, USA
| | | | - Purnima Madhivanan
- Department of Health Promotion Sciences, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, 1295 N Martin Avenue, PO Box 245209, Tucson, AZ 85724-5209
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Duque G, Manterola C, Otzen T, Arias C, Palacios D, Mora M, Galindo B, Holguín JP, Albarracín L. Cancer Biomarkers in Liquid Biopsy for Early Detection of Breast
Cancer: A Systematic Review. Clin Med Insights Oncol 2022; 16:11795549221134831. [PMCID: PMC9634213 DOI: 10.1177/11795549221134831] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2022] [Accepted: 10/10/2022] [Indexed: 11/05/2022] Open
Abstract
Background: Breast cancer (BC) is the most common neoplasm in women worldwide. Liquid
biopsy (LB) is a non-invasive diagnostic technique that allows the analysis
of biomarkers in different body fluids, particularly in peripheral blood and
also in urine, saliva, nipple discharge, volatile respiratory fluids, nasal
secretions, breast milk, and tears. The objective was to analyze the
available evidence related to the use of biomarkers obtained by LB for the
early diagnosis of BC. Methods: Articles related to the use of biomarkers for the early diagnosis of BC due
to LB, published between 2010 and 2022, from the databases (WoS, EMBASE,
PubMed, and SCOPUS) were included. The MInCir diagnostic scale was applied
in the articles to determine their methodological quality (MQ). Descriptive
statistics were used, as well as determination of weighted averages of each
variable, to analyze the extracted data. Sensitivity, specificity, and area
under the curve values for specific biomarkers (individual or in panels) are
described. Results: In this systematic review (SR), 136 articles met the selection criteria,
representing 17 709 patients with BC. However, 95.6% were case-control
studies. In 96.3% of cases, LB was performed in peripheral blood samples.
Most of the articles were based on microRNA (miRNA) analysis. The mean MQ
score was 25/45 points. Sensitivity, specificity, and area under the curve
values for specific biomarkers (individual or in panels) have been
found. Conclusions: The determination of biomarkers through LB is a useful mechanism for the
diagnosis of BC. The analysis of miRNA in peripheral blood is the most
studied methodology. Our results indicate that LB has a high sensitivity and
specificity for the diagnosis of BC, especially in early stages.
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Affiliation(s)
- Galo Duque
- Medical Sciences PhD Program,
Universidad de La Frontera, Temuco, Chile,Faculty of Medicine, Universidad del
Azuay, Cuenca, Ecuador,Galo Duque, Faculty of Medicine,
Universidad del Azuay. Postal address: Av. 24 de Mayo y Hernán Malo, Cuenca,
Ecuador 010107.
| | - Carlos Manterola
- Medical Sciences PhD Program,
Universidad de La Frontera, Temuco, Chile,Center of Excellence in Morphological
and Surgical Studies (CEMyQ), Universidad de La Frontera, Temuco, Chile
| | - Tamara Otzen
- Medical Sciences PhD Program,
Universidad de La Frontera, Temuco, Chile,Center of Excellence in Morphological
and Surgical Studies (CEMyQ), Universidad de La Frontera, Temuco, Chile
| | - Cristina Arias
- Faculty of Medicine, Universidad del
Azuay, Cuenca, Ecuador
| | | | - Miriann Mora
- Medical Sciences PhD Program,
Universidad de La Frontera, Temuco, Chile,Faculty of Medicine, Universidad del
Azuay, Cuenca, Ecuador
| | - Bryan Galindo
- Faculty of Medicine, Universidad del
Azuay, Cuenca, Ecuador
| | - Juan Pablo Holguín
- Medical Sciences PhD Program,
Universidad de La Frontera, Temuco, Chile,Faculty of Medicine, Universidad del
Azuay, Cuenca, Ecuador
| | - Lorena Albarracín
- Medical Sciences PhD Program,
Universidad de La Frontera, Temuco, Chile
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Liu X, Papukashvili D, Wang Z, Liu Y, Chen X, Li J, Li Z, Hu L, Li Z, Rcheulishvili N, Lu X, Ma J. Potential utility of miRNAs for liquid biopsy in breast cancer. Front Oncol 2022; 12:940314. [PMID: 35992785 PMCID: PMC9386533 DOI: 10.3389/fonc.2022.940314] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 07/04/2022] [Indexed: 12/18/2022] Open
Abstract
Breast cancer (BC) remains the most prevalent malignancy due to its incidence rate, recurrence, and metastasis in women. Conventional strategies of cancer detection– mammography and tissue biopsy lack the capacity to detect the complete cancer genomic landscape. Besides, they often give false- positive or negative results. The presence of this and other disadvantages such as invasiveness, high-cost, and side effects necessitates developing new strategies to overcome the BC burden. Liquid biopsy (LB) has been brought to the fore owing to its early detection, screening, prognosis, simplicity of the technique, and efficient monitoring. Remarkably, microRNAs (miRNAs)– gene expression regulators seem to play a major role as biomarkers detected in the samples of LB. Particularly, miR-21 and miR-155 among other possible candidates seem to serve as favorable biomarkers in the diagnosis and prognosis of BC. Hence, this review will assess the potential utility of miRNAs as biomarkers and will highlight certain promising candidates for the LB approach in the diagnosis and management of BC that may optimize the patient outcome.
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Affiliation(s)
- Xiangrong Liu
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Dimitri Papukashvili
- Department of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Zhixiang Wang
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Yan Liu
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Xiaoxia Chen
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Jianrong Li
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Zhiyuan Li
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Linjie Hu
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Zheng Li
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
| | - Nino Rcheulishvili
- Department of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Xiaoqing Lu
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
- *Correspondence: Xiaoqing Lu, ; Jinfeng Ma,
| | - Jinfeng Ma
- Shanxi Province Cancer Hospital/Shanxi Hospital Affiliated to Cancer Hospital, Chinese Academy of Medical Sciences/Cancer Hospital Affiliated to Shanxi Medical University, Taiyuan, China
- *Correspondence: Xiaoqing Lu, ; Jinfeng Ma,
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Sehovic E, Urru S, Chiorino G, Doebler P. Meta-analysis of diagnostic cell-free circulating microRNAs for breast cancer detection. BMC Cancer 2022; 22:634. [PMID: 35681127 PMCID: PMC9178880 DOI: 10.1186/s12885-022-09698-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 05/24/2022] [Indexed: 01/17/2023] Open
Abstract
Background Breast cancer (BC) is the most frequently diagnosed cancer among women. Numerous studies explored cell-free circulating microRNAs as diagnostic biomarkers of BC. As inconsistent and rarely intersecting microRNA panels have been reported thus far, we aim to evaluate the overall diagnostic performance as well as the sources of heterogeneity between studies. Methods Based on the search of three online search engines performed up to March 21st 2022, 56 eligible publications that investigated diagnostic circulating microRNAs by utilizing Real-Time Quantitative Reverse Transcription PCR (qRT-PCR) were obtained. Primary studies’ potential for bias was evaluated with the revised tool for the quality assessment of diagnostic accuracy studies (QUADAS-2). A bivariate generalized linear mixed-effects model was applied to obtain pooled sensitivity and specificity. A novel methodology was utilized in which the sample and study models’ characteristics were analysed to determine the potential preference of studies for sensitivity or specificity. Results Pooled sensitivity and specificity of 0.85 [0.81—0.88] and 0.83 [0.79—0.87] were obtained, respectively. Subgroup analysis showed a significantly better performance of multiple (sensitivity: 0.90 [0.86—0.93]; specificity: 0.86 [0.80—0.90]) vs single (sensitivity: 0.82 [0.77—0.86], specificity: 0.83 [0.78—0.87]) microRNA panels and a comparable pooled diagnostic performance between studies using serum (sensitivity: 0.87 [0.81—0.91]; specificity: 0.83 [0.78—0.87]) and plasma (sensitivity: 0.83 [0.77—0.87]; specificity: 0.85 [0.78—0.91]) as specimen type. In addition, based on bivariate and univariate analyses, miRNA(s) based on endogenous normalizers tend to have a higher diagnostic performance than miRNA(s) based on exogenous ones. Moreover, a slight tendency of studies to prefer specificity over sensitivity was observed. Conclusions In this study the diagnostic ability of circulating microRNAs to diagnose BC was reaffirmed. Nonetheless, some subgroup analyses showed between-study heterogeneity. Finally, lack of standardization and of result reproducibility remain the biggest issues regarding the diagnostic application of circulating cell-free microRNAs. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-022-09698-8.
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Affiliation(s)
- Emir Sehovic
- Cancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900, Biella, Italy. .,Department of Life Sciences and Systems Biology, University of Turin, 10100, Turin, Italy.
| | - Sara Urru
- Cancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900, Biella, Italy.,Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, 35121, Padova, Italy
| | - Giovanna Chiorino
- Cancer Genomics Lab, Fondazione Edo ed Elvo Tempia, 13900, Biella, Italy
| | - Philipp Doebler
- Department of Statistics, TU Dortmund University, 44227, Dortmund, Germany
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