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Shi M, Han W, Loudig O, Shah CD, Dobkin JB, Keller S, Sadoughi A, Zhu C, Siegel RE, Fernandez MK, DeLaRosa L, Patel D, Desai A, Siddiqui T, Gombar S, Suh Y, Wang T, Hosgood HD, Pradhan K, Ye K, Spivack SD. Initial development and testing of an exhaled microRNA detection strategy for lung cancer case-control discrimination. Sci Rep 2023; 13:6620. [PMID: 37095155 PMCID: PMC10126132 DOI: 10.1038/s41598-023-33698-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Accepted: 04/18/2023] [Indexed: 04/26/2023] Open
Abstract
For detecting field carcinogenesis non-invasively, early technical development and case-control testing of exhaled breath condensate microRNAs was performed. In design, human lung tissue microRNA-seq discovery was reconciled with TCGA and published tumor-discriminant microRNAs, yielding a panel of 24 upregulated microRNAs. The airway origin of exhaled microRNAs was topographically "fingerprinted", using paired EBC, upper and lower airway donor sample sets. A clinic-based case-control study (166 NSCLC cases, 185 controls) was interrogated with the microRNA panel by qualitative RT-PCR. Data were analyzed by logistic regression (LR), and by random-forest (RF) models. Feasibility testing of exhaled microRNA detection, including optimized whole EBC extraction, and RT and qualitative PCR method evaluation, was performed. For sensitivity in this low template setting, intercalating dye-based URT-PCR was superior to fluorescent probe-based PCR (TaqMan). In application, adjusted logistic regression models identified exhaled miR-21, 33b, 212 as overall case-control discriminant. RF analysis of combined clinical + microRNA models showed modest added discrimination capacity (1.1-2.5%) beyond clinical models alone: all subjects 1.1% (p = 8.7e-04)); former smokers 2.5% (p = 3.6e-05); early stage 1.2% (p = 9.0e-03), yielding combined ROC AUC ranging from 0.74 to 0.83. We conclude that exhaled microRNAs are qualitatively measureable, reflect in part lower airway signatures; and when further refined/quantitated, can potentially help to improve lung cancer risk assessment.
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Affiliation(s)
- Miao Shi
- Pulmonary Medicine, Albert Einstein College of Medicine, Bronx, NY, USA.
| | - Weiguo Han
- Pharmacology and Toxicology, College of Pharmacy, University of Arizona, Tucson, AZ, USA
| | | | - Chirag D Shah
- Pulmonary Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jay B Dobkin
- Pulmonary Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Ali Sadoughi
- Pulmonary Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Changcheng Zhu
- Pathology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Robert E Siegel
- Pulmonary Medicine, Icahn School of Medicine at Mount Sinai, James J. Peters Veterans Affairs Medical Center, New York, USA
| | | | - Lizett DeLaRosa
- Pulmonary Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | | | - Taha Siddiqui
- Pulmonary Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Saurabh Gombar
- Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yousin Suh
- Reproductive Sciences (in Obstetrics and Gynecology), Columbia University, New York, USA
- Genetics and Development, Columbia University, New York, USA
| | - Tao Wang
- Biostatistics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - H Dean Hosgood
- Epidemiology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Kith Pradhan
- Biostatistics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Kenny Ye
- Biostatistics, Albert Einstein College of Medicine, Bronx, NY, USA
- Systems and Computational Biology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Simon D Spivack
- Pulmonary Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
- Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
- Epidemiology, Albert Einstein College of Medicine, Bronx, NY, USA
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Timmerman DM, Gillis AJM, Mego M, Looijenga LHJ. Comparative Analyses of Liquid-Biopsy MicroRNA371a-3p Isolation Protocols for Serum and Plasma. Cancers (Basel) 2021; 13:cancers13174260. [PMID: 34503070 PMCID: PMC8428229 DOI: 10.3390/cancers13174260] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Accepted: 08/23/2021] [Indexed: 01/30/2023] Open
Abstract
Simple Summary The active disease status of patients with a malignant germ cell tumor can be evaluated using detection of specific body-circulating microRNAs. However, various methods are reported to isolate and detect microRNAs from blood, possibly influencing the score as positive or negative. Here, we investigated two frequently used techniques for microRNA isolation from blood, either serum or plasma, to evaluate possible differences. These data are required to compare published studies and to select the best methods in the future. No effect of either starting with plasma or serum was found, indicating that both blood products can be used. The bead-based method was more stable and applicable on small blood volumes, whereas the total RNA method exhibited a higher sensitivity due to a larger starting volume. These results are important to develop the optimal method for the detection of microRNAs in blood to monitor malignant germ cell tumor patients in clinic practice. Abstract MicroRNAs (miRNAs) are short, non-coding RNAs involved in translation regulation. Dysregulation has been identified in cancer cells. miRNAs can be secreted and detectable in body fluids; therefore, they are potential liquid-biopsy biomarkers. The miR-371a-3 cluster members are an example, monitoring the presence of malignant germ cell tumors based on patient serum/plasma analyses. However, a large variety of isolation techniques on sample types (serum vs. plasma) are reported, hampering interstudy comparisons. Therefore, we analyzed the impact of using the miRNeasy Serum/Plasma Kit (cell-free total RNA purification) Qiagen extraction kit and the TaqMan anti-miRNA bead-capture procedure of ThermoFisher for miRNA isolation. Ten normal male matched serum and plasma samples and seventeen testicular germ cell tumor patient serum samples were investigated. The Qiagen kit requires a higher input volume (200 µL vs. 50 µL), resulting in higher sensitivity. Serum and plasma comparison demonstrated high similarity in miRNA levels. Titration experiments showed that the bead-capture procedure is superior in cases of lower starting volumes (<100 µL). This study highlights the strengths and limitations of two different isolation protocols, relevant for in vivo analysis with small starting volumes. In summary, miRNA detection levels results varied little between plasma and serum, whereas for low volumes the bead capture isolation method is preferable.
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Affiliation(s)
- Dennis M. Timmerman
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; (D.M.T.); (A.J.M.G.)
| | - Ad J. M. Gillis
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; (D.M.T.); (A.J.M.G.)
| | - Michal Mego
- Translational Research Unit and 2nd Department of Oncology, Faculty of Medicine, Comenius University and National Cancer Institute, 84505 Bratislava, Slovakia;
| | - Leendert H. J. Looijenga
- Princess Máxima Center for Pediatric Oncology, 3584 CS Utrecht, The Netherlands; (D.M.T.); (A.J.M.G.)
- Correspondence: ; Tel.: +31-88-972-5211
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