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Liu C, Sun M, Arefan D, Zuley M, Sumkin J, Wu S. Deep learning of mammogram images to reduce unnecessary breast biopsies: a preliminary study. Breast Cancer Res 2024; 26:82. [PMID: 38790005 PMCID: PMC11127450 DOI: 10.1186/s13058-024-01830-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 04/22/2024] [Indexed: 05/26/2024] Open
Abstract
BACKGROUND Patients with a Breast Imaging Reporting and Data System (BI-RADS) 4 mammogram are currently recommended for biopsy. However, 70-80% of the biopsies are negative/benign. In this study, we developed a deep learning classification algorithm on mammogram images to classify BI-RADS 4 suspicious lesions aiming to reduce unnecessary breast biopsies. MATERIALS AND METHODS This retrospective study included 847 patients with a BI-RADS 4 breast lesion that underwent biopsy at a single institution and included 200 invasive breast cancers, 200 ductal carcinoma in-situ (DCIS), 198 pure atypias, 194 benign, and 55 atypias upstaged to malignancy after excisional biopsy. We employed convolutional neural networks to perform 4 binary classification tasks: (I) benign vs. all atypia + invasive + DCIS, aiming to identify the benign cases for whom biopsy may be avoided; (II) benign + pure atypia vs. atypia-upstaged + invasive + DCIS, aiming to reduce excision of atypia that is not upgraded to cancer at surgery; (III) benign vs. each of the other 3 classes individually (atypia, DCIS, invasive), aiming for a precise diagnosis; and (IV) pure atypia vs. atypia-upstaged, aiming to reduce unnecessary excisional biopsies on atypia patients. RESULTS A 95% sensitivity for the "higher stage disease" class was ensured for all tasks. The specificity value was 33% in Task I, and 25% in Task II, respectively. In Task III, the respective specificity value was 30% (vs. atypia), 30% (vs. DCIS), and 46% (vs. invasive tumor). In Task IV, the specificity was 35%. The AUC values for the 4 tasks were 0.72, 0.67, 0.70/0.73/0.72, and 0.67, respectively. CONCLUSION Deep learning of digital mammograms containing BI-RADS 4 findings can identify lesions that may not need breast biopsy, leading to potential reduction of unnecessary procedures and the attendant costs and stress.
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Affiliation(s)
- Chang Liu
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Min Sun
- Hillman Cancer Center, University of Pittsburgh Medical Center, Pittsburgh, PA, 15215, USA
| | - Dooman Arefan
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
| | - Margarita Zuley
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
- Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
| | - Jules Sumkin
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
- Magee-Womens Hospital, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA
| | - Shandong Wu
- Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
- Department of Radiology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA.
- Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
- Intelligent Systems Program, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
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Carvalho de Oliveira J, Mathias C, Oliveira VC, Pezuk JA, Brassesco MS. The Double Face of miR-708: A Pan-Cancer Player with Dissociative Identity Disorder. Genes (Basel) 2022; 13:genes13122375. [PMID: 36553642 PMCID: PMC9777992 DOI: 10.3390/genes13122375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 12/08/2022] [Accepted: 12/12/2022] [Indexed: 12/23/2022] Open
Abstract
Over the last decades, accumulating evidence has shown tumor-dependent profiles of miR-708, being either up- or downregulated, and thus, acting as a "Janus" regulator of oncogenic pathways. Herein, its functional duality was assessed through a thorough review of the literature and further validation in silico using The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. In the literature, miR-708 was found with an oncogenic role in eight tumor types, while a suppressor tumor role was described in seven cancers. This double profile was also found in TCGA and GEO databases, with some tumor types having a high expression of miR-708 and others with low expression compared with non-tumor counterparts. The investigation of validated targets using miRBase, miRTarBase, and miRecords platforms, identified a total of 572 genes that appeared enriched for PI3K-Akt signaling, followed by cell cycle control, p53, Apellin and Hippo signaling, endocrine resistance, focal adhesion, and cell senescence regulations, which are all recognized contributors of tumoral phenotypes. Among these targets, a set of 15 genes shared by at least two platforms was identified, most of which have important roles in cancer cells that influence either tumor suppression or progression. In a clinical scenario, miR-708 has shown to be a good diagnostic and prognosis marker. However, its multitarget nature and opposing roles in diverse human tumors, aligned with insufficient experimental data and the lack of proper delivery strategies, hamper its potential as a sequence-directed therapeutic.
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Affiliation(s)
| | - Carolina Mathias
- Department of Genetics, Federal University of Paraná, Curitiba 80060-000, Brazil
- Laboratory of Applied Science and Technology in Health, Carlos Chagas Institute, Oswaldo Cruz Foundation (Fiocruz), Curitiba 81350-010, Brazil
| | - Verônica Cristina Oliveira
- Department of Biotechnology and Health Innovation, Anhanguera University of São Paulo, Pirituba 05145-200, Brazil
| | - Julia Alejandra Pezuk
- Department of Biotechnology and Health Innovation, Anhanguera University of São Paulo, Pirituba 05145-200, Brazil
| | - María Sol Brassesco
- Biology Department, Faculty of Philosophy, Sciences and Letters at Ribeirão Preto, University of São Paulo, Ribeirão Preto 14040-901, Brazil
- Correspondence:
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Abstract
Abdominal tumors (AT) in children account for approximately 17% of all pediatric solid tumor cases, and frequently exhibit embryonal histological features that differentiate them from adult cancers. Current molecular approaches have greatly improved the understanding of the distinctive pathology of each tumor type and enabled the characterization of novel tumor biomarkers. As seen in abdominal adult tumors, microRNAs (miRNAs) have been increasingly implicated in either the initiation or progression of childhood cancer. Moreover, besides predicting patient prognosis, they represent valuable diagnostic tools that may also assist the surveillance of tumor behavior and treatment response, as well as the identification of the primary metastatic sites. Thus, the present study was undertaken to compile up-to-date information regarding the role of dysregulated miRNAs in the most common histological variants of AT, including neuroblastoma, nephroblastoma, hepatoblastoma, hepatocarcinoma, and adrenal tumors. Additionally, the clinical implications of dysregulated miRNAs as potential diagnostic tools or indicators of prognosis were evaluated.
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Loke SY, Munusamy P, Koh GL, Chan CHT, Madhukumar P, Thung JL, Tan KTB, Ong KW, Yong WS, Sim Y, Oey CL, Lim SZ, Chan MYP, Ho TSJ, Khoo BKJ, Wong SLJ, Thng CH, Chong BK, Tan EY, Tan VKM, Lee ASG. A Circulating miRNA Signature for Stratification of Breast Lesions among Women with Abnormal Screening Mammograms. Cancers (Basel) 2019; 11:cancers11121872. [PMID: 31769433 PMCID: PMC6966622 DOI: 10.3390/cancers11121872] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 11/13/2019] [Accepted: 11/19/2019] [Indexed: 12/13/2022] Open
Abstract
Although mammography is the gold standard for breast cancer screening, the high rates of false-positive mammograms remain a concern. Thus, there is an unmet clinical need for a non-invasive and reliable test to differentiate between malignant and benign breast lesions in order to avoid subjecting patients with abnormal mammograms to unnecessary follow-up diagnostic procedures. Serum samples from 116 malignant breast lesions and 64 benign breast lesions were comprehensively profiled for 2,083 microRNAs (miRNAs) using next-generation sequencing. Of the 180 samples profiled, three outliers were removed based on the principal component analysis (PCA), and the remaining samples were divided into training (n = 125) and test (n = 52) sets at a 70:30 ratio for further analysis. In the training set, significantly differentially expressed miRNAs (adjusted p < 0.01) were identified after correcting for multiple testing using a false discovery rate. Subsequently, a predictive classification model using an eight-miRNA signature and a Bayesian logistic regression algorithm was developed. Based on the receiver operating characteristic (ROC) curve analysis in the test set, the model could achieve an area under the curve (AUC) of 0.9542. Together, this study demonstrates the potential use of circulating miRNAs as an adjunct test to stratify breast lesions in patients with abnormal screening mammograms.
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Affiliation(s)
- Sau Yeen Loke
- Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore; (S.Y.L.); (P.M.); (G.L.K.); (C.H.T.C.)
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
| | - Prabhakaran Munusamy
- Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore; (S.Y.L.); (P.M.); (G.L.K.); (C.H.T.C.)
| | - Geok Ling Koh
- Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore; (S.Y.L.); (P.M.); (G.L.K.); (C.H.T.C.)
| | - Claire Hian Tzer Chan
- Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore; (S.Y.L.); (P.M.); (G.L.K.); (C.H.T.C.)
| | - Preetha Madhukumar
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Jee Liang Thung
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Kiat Tee Benita Tan
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
- Department of General Surgery, Sengkang General Hospital, Singapore 544886, Singapore
| | - Kong Wee Ong
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Wei Sean Yong
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Yirong Sim
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Chung Lie Oey
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Sue Zann Lim
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Mun Yew Patrick Chan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore; (M.Y.P.C.); (E.Y.T.)
| | - Teng Swan Juliana Ho
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Oncologic Imaging, National Cancer Centre, Singapore 169610, Singapore;
| | - Boon Kheng James Khoo
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Oncologic Imaging, National Cancer Centre, Singapore 169610, Singapore;
| | - Su Lin Jill Wong
- Division of Oncologic Imaging, National Cancer Centre, Singapore 169610, Singapore;
| | - Choon Hua Thng
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Oncologic Imaging, National Cancer Centre, Singapore 169610, Singapore;
| | - Bee Kiang Chong
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore 308433, Singapore;
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore; (M.Y.P.C.); (E.Y.T.)
| | - Veronique Kiak-Mien Tan
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Ann Siew Gek Lee
- Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore; (S.Y.L.); (P.M.); (G.L.K.); (C.H.T.C.)
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore
- Correspondence: ; Tel.: +65-6436-8313
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Ritter A, Hirschfeld M, Berner K, Rücker G, Jäger M, Weiss D, Medl M, Nöthling C, Gassner S, Asberger J, Erbes T. Circulating non‑coding RNA‑biomarker potential in neoadjuvant chemotherapy of triple negative breast cancer? Int J Oncol 2019; 56:47-68. [PMID: 31789396 PMCID: PMC6910196 DOI: 10.3892/ijo.2019.4920] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Accepted: 09/26/2019] [Indexed: 12/11/2022] Open
Abstract
Due to the positive association between neoadjuvant chemotherapy (NACT) and the promising early response rates of patients with triple negative breast cancer (TNBC), including probabilities of pathological complete response, NACT is increasingly used in TNBC management. Liquid biopsy-based biomarkers with the power to diagnose the early response to NACT may support established monitoring tools, which are to a certain extent imprecise and costly. Simple serum- or urine-based analyses of non-coding RNA (ncRNA) expression may allow for fast, minimally-invasive testing and timely adjustment of the therapy regimen. The present study investigated breast cancer-related ncRNAs [microRNA (miR)-7, -9, -15a, -17, -18a, -19b, -21, -30b, -222 and -320c, PIWI-interacting RNA-36743 and GlyCCC2] in triple positive BT-474 cells and three TNBC cell lines (BT-20, HS-578T and MDA-MB-231) treated with various chemotherapeutic agents using reverse transcription-quantitative PCR. Intracellular and secreted microvesicular ncRNA expression levels were analysed using a multivariable statistical regression analysis. Chemotherapy-driven effects were investigated by analysing cell cycle determinants at the mRNA and protein levels. Serum and urine specimens from 8 patients with TNBC were compared with 10 healthy females using two-sample t-tests. Samples from the patients with TNBC were compared at two time points. Chemotherapeutic treatments induced distinct changes in ncRNA expression in TNBC cell lines and the BT-474 cell line in intra- and extracellular compartments. Serum and urine-based ncRNA expression analysis was able to discriminate between patients with TNBC and controls. Time point comparisons in the urine samples of patients with TNBC revealed a general rise in the level of ncRNA. Serum data suggested a potential association between piR-36743, miR-17, -19b and -30b expression levels and an NACT-driven complete clinical response. The present study highlighted the potential of ncRNAs as liquid biopsy-based biomarkers in TNBC chemotherapy treatment. The ncRNAs tested in the present study have been previously investigated for their involvement in BC or TNBC chemotherapy responses; however, these previous studies were restricted to patient tissue or in vitro models. The data from the present study offer novel insight into ncRNA expression in liquid samples from patients with TNBC, and the study serves as an initial step in the evaluation of ncRNAs as diagnostic biomarkers in the monitoring of TNBC therapy.
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Affiliation(s)
- Andrea Ritter
- Department of Obstetrics and Gynecology, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79106 Freiburg, Germany
| | - Marc Hirschfeld
- Department of Obstetrics and Gynecology, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79106 Freiburg, Germany
| | - Kai Berner
- Department of Obstetrics and Gynecology, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79106 Freiburg, Germany
| | - Gerta Rücker
- Institute of Medical Biometry and Statistics, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79104 Freiburg, Germany
| | - Markus Jäger
- Department of Obstetrics and Gynecology, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79106 Freiburg, Germany
| | - Daniela Weiss
- Department of Obstetrics and Gynecology, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79106 Freiburg, Germany
| | - Markus Medl
- Department of Obstetrics and Gynecology, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79106 Freiburg, Germany
| | - Claudia Nöthling
- Department of Obstetrics and Gynecology, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79106 Freiburg, Germany
| | - Sandra Gassner
- Department of Obstetrics and Gynecology, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79106 Freiburg, Germany
| | - Jasmin Asberger
- Department of Obstetrics and Gynecology, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79106 Freiburg, Germany
| | - Thalia Erbes
- Department of Obstetrics and Gynecology, Faculty of Medicine, Medical Center‑University of Freiburg, D‑79106 Freiburg, Germany
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Clinical Translatability of "Identified" Circulating miRNAs for Diagnosing Breast Cancer: Overview and Update. Cancers (Basel) 2019; 11:cancers11070901. [PMID: 31252695 PMCID: PMC6678980 DOI: 10.3390/cancers11070901] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 06/12/2019] [Accepted: 06/24/2019] [Indexed: 12/24/2022] Open
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.
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Liu T, Xu Z, Ou D, Liu J, Zhang J. The miR-15a/16 gene cluster in human cancer: A systematic review. J Cell Physiol 2018; 234:5496-5506. [PMID: 30246332 DOI: 10.1002/jcp.27342] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2018] [Accepted: 08/10/2018] [Indexed: 12/15/2022]
Abstract
MicroRNAs (miRNAs) are an important class of endogenous small noncoding single-stranded RNAs that suppress the expression of their target genes through messenger RNA (mRNA) degradation to inhibit transcription and translation. MiRNAs play a crucial regulatory role in many biological processes including proliferation, metabolism, and cellular malignancy. miR-15a/16 is an important tumor suppressor gene cluster with a variety of factors that regulate its transcriptional activity. It has been discovered that a relative reduction of miR-15a/16 expression in various cancers is closely related to the occurrence and progression of tumors. miR-15a/16 takes part in a wide array of biological processes including tumor cell proliferation, apoptosis, invasion, and chemoresistance by binding to the 3'-untranslated region of its target gene's mRNA. In this review, we will examine the complex regulatory network of miR-15a/16 gene expression and its biological functions in human cancers to further elucidate the molecular mechanisms of its antitumor effects.
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Affiliation(s)
- Ting Liu
- Department of Rheumatology, The First Affiliated Hospital of University of South China, Hengyang, Hunan, China
| | - Zhenru Xu
- Department of Rheumatology, The First Affiliated Hospital of University of South China, Hengyang, Hunan, China
| | - Daming Ou
- Department of Rheumatology, The First Affiliated Hospital of University of South China, Hengyang, Hunan, China
| | - Jing Liu
- Molecular Biology Research Center & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Ji Zhang
- Department of Rheumatology, The First Affiliated Hospital of University of South China, Hengyang, Hunan, China.,Molecular Biology Research Center & Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
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Dong X, Liu Y. Expression and significance of miR-24 and miR-101 in patients with advanced gastric cancer. Oncol Lett 2018; 16:5769-5774. [PMID: 30405753 PMCID: PMC6202543 DOI: 10.3892/ol.2018.9324] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Accepted: 08/07/2018] [Indexed: 12/18/2022] Open
Abstract
Clinical significance of micro ribonucleic acid (miR)-24 and miR-101 were investigated by evaluating the expression of miR-24 and miR-101 in the tissues of patients with advanced gastric cancer. A total of 247 gastric cancer tissue specimens and 150 cancer-adjacent normal tissues (>5 cm away from the tumor) from patients with advanced gastric cancer who underwent surgical resection in the Surgical Oncology Department of Tianjin Union Medical Centre (Tianjin, China) from April 2013 to May 2016 were collected. The expression of miR-24 and miR-101 in gastric cancer and cancer-adjacent normal tissues were detected via reverse transcription-quantitative polymerase chain reaction (RT-qPCR), and the correlation of the levels of miR-24 and miR-101 in gastric cancer tissues with their clinical and pathological features were explored. The expression level of miR-24 in gastric cancer tissues was significantly higher than that in cancer-adjacent normal tissues (t=10.26, p<0.01), while the expression level of miR-101 was significantly lower (t=13.940, p<0.01). The expression of miR-24 and miR-101 in gastric cancer was correlated with the pathological differentiation degree of the tumor, lymph node metastasis and depth of infiltration (p<0.05). The multivariate Cox regression analysis revealed that miR-24 and miR-101 were independent prognostic factors affecting the overall survival of patients (p<0.01). The results indicated that the expression of miR-24 is upregulated and that of miR-101 is downregulated in gastric cancer tissues. miR-24 and miR-101 may promote the occurrence, development, infiltration and metastasis of gastric cancer, and can be indicators for the prognosis of patients with gastric cancer.
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Affiliation(s)
- Xuetao Dong
- Department of Gastroenterology, Tianjin Union Medical Centre, Tianjin 300120, P.R. China
| | - Yandi Liu
- Department of Gastroenterology, Tianjin Union Medical Centre, Tianjin 300120, P.R. China
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