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ctDNA</title> <meta name="description" content="Search results for: ctDNA"> <meta name="keywords" content="ctDNA"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler ml-auto" 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class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="ctDNA"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 6</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: ctDNA</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">6</span> Evaluating the Diagnostic Accuracy of the ctDNA Methylation for Liver Cancer</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Maomao%20Cao">Maomao Cao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: To test the performance of ctDNA methylation for the detection of liver cancer. Methods: A total of 1233 individuals have been recruited in 2017. 15 male and 15 female samples (including 10 cases of liver cancer) were randomly selected in the present study. CfDNA was extracted by MagPure Circulating DNA Maxi Kit. The concentration of cfDNA was obtained by Qubit™ dsDNA HS Assay Kit. A pre-constructed predictive model was used to analyze methylation data and to give a predictive score for each cfDNA sample. Individuals with a predictive score greater than or equal to 80 were classified as having liver cancer. CT tests were considered the gold standard. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) for the diagnosis of liver cancer were calculated. Results: 9 patients were diagnosed with liver cancer according to the prediction model (with high sensitivity and threshold of 80 points), with scores of 99.2, 91.9, 96.6, 92.4, 91.3, 92.5, 96.8, 91.1, and 92.2, respectively. The sensitivity, specificity, positive predictive value, and negative predictive value of ctDNA methylation for the diagnosis of liver cancer were 0.70, 0.90, 0.78, and 0.86, respectively. Conclusions: ctDNA methylation could be an acceptable diagnostic modality for the detection of liver cancer. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=liver%20cancer" title="liver cancer">liver cancer</a>, <a href="https://publications.waset.org/abstracts/search?q=ctDNA%20methylation" title=" ctDNA methylation"> ctDNA methylation</a>, <a href="https://publications.waset.org/abstracts/search?q=detection" title=" detection"> detection</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnostic%20performance" title=" diagnostic performance"> diagnostic performance</a> </p> <a href="https://publications.waset.org/abstracts/146512/evaluating-the-diagnostic-accuracy-of-the-ctdna-methylation-for-liver-cancer" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/146512.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">5</span> Treatment of Non-Small Cell Lung Cancer (NSCLC) With Activating Mutations Considering ctDNA Fluctuations</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Moiseenko%20F.%20V.">Moiseenko F. V.</a>, <a href="https://publications.waset.org/abstracts/search?q=Volkov%20N.%20M."> Volkov N. M.</a>, <a href="https://publications.waset.org/abstracts/search?q=Zhabina%20A.%20S."> Zhabina A. S.</a>, <a href="https://publications.waset.org/abstracts/search?q=Stepanova%20E.%20O."> Stepanova E. O.</a>, <a href="https://publications.waset.org/abstracts/search?q=Kirillov%20A.%20V."> Kirillov A. V.</a>, <a href="https://publications.waset.org/abstracts/search?q=Myslik%20A.%20V."> Myslik A. V.</a>, <a href="https://publications.waset.org/abstracts/search?q=Artemieva%20E.%20V."> Artemieva E. V.</a>, <a href="https://publications.waset.org/abstracts/search?q=Agranov%20I.%20R."> Agranov I. R.</a>, <a href="https://publications.waset.org/abstracts/search?q=Oganesyan%20A.%20P."> Oganesyan A. P.</a>, <a href="https://publications.waset.org/abstracts/search?q=Egorenkov%20V.%20V."> Egorenkov V. V.</a>, <a href="https://publications.waset.org/abstracts/search?q=Abduloeva%20N.%20H."> Abduloeva N. H.</a>, <a href="https://publications.waset.org/abstracts/search?q=Aleksakhina%20S.%20Yu."> Aleksakhina S. Yu.</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivantsov%20A.%20O."> Ivantsov A. O.</a>, <a href="https://publications.waset.org/abstracts/search?q=Kuligina%20E.%20S."> Kuligina E. S.</a>, <a href="https://publications.waset.org/abstracts/search?q=Imyanitov%20E.%20N."> Imyanitov E. N.</a>, <a href="https://publications.waset.org/abstracts/search?q=Moiseyenko%20V.%20M."> Moiseyenko V. M.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Analysis of ctDNA in patients with NSCLC is an emerging biomarker. Multiple research efforts of quantitative or at least qualitative analysis before and during the first periods of treatment with TKI showed the prognostic value of ctDNA clearance. Still, these important results are not incorporated in clinical standards. We evaluated the role of ctDNA in EGFR-mutated NSCLC receiving first-line TKI. Firstly, we analyzed sequential plasma samples from 30 patients that were collected before intake of the first tablet (at baseline) and at 6, 12, 24, 36, and 48 hours after the “starting point.” EGFR-M+ allele was measured by ddPCR. Afterward, we included sequential qualitative analysis of ctDNA with cobas® EGFR Mutation Test v2 from 99 NSCLC patients before the first dose, after 2 and 4 months of treatment, and on progression. Early response analysis showed the decline of EGFR-M+ level in plasma within the first 48 hours of treatment in 11 subjects. All these patients showed objective tumor response. 10 patients showed either elevation of EGFR-M+ plasma concentration (n = 5) or stable content of circulating EGFR-M+ after the start of the therapy (n = 5); only 3 of these patients achieved an objective response (p = 0.026) when compared to the former group). The rapid decline of plasma EGFR-M+ DNA concentration also predicted for longer PFS (13.7 vs. 11.4 months, p = 0.030). Long-term ctDNA monitoring showed clinically significant heterogeneity of EGFR-mutated NSCLC treated with 1st line TKIs in terms of progression-free and overall survival. Patients without detectable ctDNA at baseline (N = 32) possess the best prognosis on the duration of treatment (PFS: 24.07 [16.8-31.3] and OS: 56.2 [21.8-90.7] months). Those who achieve clearance after two months of TKI (N = 42) have indistinguishably good PFS (19.0 [13.7 – 24.2]). Individuals who retain ctDNA after 2 months (N = 25) have the worst prognosis (PFS: 10.3 [7.0 – 13.5], p = 0.000). 9/25 patients did not develop ctDNA clearance at 4 months with no statistical difference in PFS from those without clearance at 2 months. Prognostic heterogeneity of EGFR-mutated NSCLC should be taken into consideration in planning further clinical trials and optimizing the outcomes of patients. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=NSCLC" title="NSCLC">NSCLC</a>, <a href="https://publications.waset.org/abstracts/search?q=EGFR" title=" EGFR"> EGFR</a>, <a href="https://publications.waset.org/abstracts/search?q=targeted%20therapy" title=" targeted therapy"> targeted therapy</a>, <a href="https://publications.waset.org/abstracts/search?q=ctDNA" title=" ctDNA"> ctDNA</a>, <a href="https://publications.waset.org/abstracts/search?q=prognosis" title=" prognosis"> prognosis</a> </p> <a href="https://publications.waset.org/abstracts/182095/treatment-of-non-small-cell-lung-cancer-nsclc-with-activating-mutations-considering-ctdna-fluctuations" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/182095.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">54</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">4</span> Competitive DNA Calibrators as Quality Reference Standards (QRS™) for Germline and Somatic Copy Number Variations/Variant Allelic Frequencies Analyses</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Eirini%20Konstanta">Eirini Konstanta</a>, <a href="https://publications.waset.org/abstracts/search?q=Cedric%20Gouedard"> Cedric Gouedard</a>, <a href="https://publications.waset.org/abstracts/search?q=Aggeliki%20Delimitsou"> Aggeliki Delimitsou</a>, <a href="https://publications.waset.org/abstracts/search?q=Stefania%20Patera"> Stefania Patera</a>, <a href="https://publications.waset.org/abstracts/search?q=Samuel%20Murray"> Samuel Murray</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Quality reference DNA standards (QRS) for molecular testing by next-generation sequencing (NGS) are essential for accurate quantitation of copy number variations (CNV) for germline and variant allelic frequencies (VAF) for somatic analyses. Objectives: Presently, several molecular analytics for oncology patients are reliant upon quantitative metrics. Test validation and standardisation are also reliant upon the availability of surrogate control materials allowing for understanding test LOD (limit of detection), sensitivity, specificity. We have developed a dual calibration platform allowing for QRS pairs to be included in analysed DNA samples, allowing for accurate quantitation of CNV and VAF metrics within and between patient samples. Methods: QRS™ blocks up to 500nt were designed for common NGS panel targets incorporating ≥ 2 identification tags (IDTDNA.com). These were analysed upon spiking into gDNA, somatic, and ctDNA using a proprietary CalSuite™ platform adaptable to common LIMS. Results: We demonstrate QRS™ calibration reproducibility spiked to 5–25% at ± 2.5% in gDNA and ctDNA. Furthermore, we demonstrate CNV and VAF within and between samples (gDNA and ctDNA) with the same reproducibility (± 2.5%) in a clinical sample of lung cancer and HBOC (EGFR and BRCA1, respectively). CNV analytics was performed with similar accuracy using a single pair of QRS calibrators when using multiple single targeted sequencing controls. Conclusion: Dual paired QRS™ calibrators allow for accurate and reproducible quantitative analyses of CNV, VAF, intrinsic sample allele measurement, inter and intra-sample measure not only simplifying NGS analytics but allowing for monitoring clinically relevant biomarker VAF across patient ctDNA samples with improved accuracy. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=calibrator" title="calibrator">calibrator</a>, <a href="https://publications.waset.org/abstracts/search?q=CNV" title=" CNV"> CNV</a>, <a href="https://publications.waset.org/abstracts/search?q=gene%20copy%20number" title=" gene copy number"> gene copy number</a>, <a href="https://publications.waset.org/abstracts/search?q=VAF" title=" VAF"> VAF</a> </p> <a href="https://publications.waset.org/abstracts/134208/competitive-dna-calibrators-as-quality-reference-standards-qrs-for-germline-and-somatic-copy-number-variationsvariant-allelic-frequencies-analyses" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/134208.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">152</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">3</span> Anticancer Potentials of Aqueous Tinospora cordifolia and Its Bioactive Polysaccharide, Arabinogalactan on Benzo(a)Pyrene Induced Pulmonary Tumorigenesis: A Study with Relevance to Blood Based Biomarkers</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vandana%20Mohan">Vandana Mohan</a>, <a href="https://publications.waset.org/abstracts/search?q=Ashwani%20%20Koul"> Ashwani Koul</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Aim: To evaluate the potential of Aqueous Tinospora cordifolia stem extract (Aq.Tc) and Arabinogalactan (AG) on pulmonary carcinogenesis and associated tumor markers. Background: Lung cancer is one of the most frequent malignancy with high mortality rate due to limitation of early detection resulting in low cure rates. Current research effort focuses on identifying some blood-based biomarkers like CEA, ctDNA and LDH which may have potential to detect cancer at an early stage, evaluation of therapeutic response and its recurrence. Medicinal plants and their active components have been widely investigated for their anticancer potentials. Aqueous preparation of T. Cordifolia extract is enriched in the polysaccharide fraction i.e., AG when compared with other types of extract. Moreover, reports are available of polysaccharide fraction of T. Cordifolia in in vitro lung cancer models which showed profound anti-metastatic activity against these cell lines. However, not much has been explored about its effect in in vivo lung cancer models and the underlying mechanism involved. Experimental Design: Mice were randomly segregated into six groups. Group I animals served as control. Group II animals were administered with Aq. Tc extract (200 mg/kg b.w.) p.o.on the alternate days. Group III animals were fed with AG (7.5 mg/kg b.w.) p.o. on the alternate days (thrice a week). Group IV animals were installed with Benzo(a)pyrene (50 mg/kg b.w.), i.p. twice within an interval of two weeks. Group V animals received Aq. Tc extract as in group II along with it B(a)P was installed after two weeks of Aq. Tc administration following the same protocol as for group IV. Group VI animals received AG as in group III along with it B(a)P was installed after two weeks of AG administration. Results: Administration of B(a)P to mice resulted in increased tumor incidence, multiplicity and pulmonary somatic index with concomitant increase in serum/plasma markers like CEA, ctDNA, LDH and TNF-α.Aq.Tc and AG supplementation significantly attenuated these alterations at different stages of tumorigenesis thereby showing potent anti-cancer effect in lung cancer. A pronounced decrease in serum/plasma markers were observed in animals treated with Aq.Tc as compared to those fed with AG. Also, extensive hyperproliferation of alveolar epithelium was prominent in B(a)P induced lung tumors. However, treatment of Aq.Tc and AG to lung tumor bearing mice exhibited reduced alveolar damage evident from decreased number of hyperchromatic irregular nuclei. A direct correlation between the concentration of tumor markers and the intensity of lung cancer was observed in animals bearing cancer co-treated with Aq.Tc and AG. Conclusion: These findings substantiate the chemopreventive potential of Aq.Tc and AG against lung tumorigenesis. Interestingly, Aq.Tc was found to be more effective in modulating the cancer as reflected by various observations which may be attributed to the synergism offered by various components of Aq.Tc. Further studies are in progress to understand the underlined mechanism in inhibiting lung tumorigenesis by Aq.Tc and AG. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arabinogalactan" title="Arabinogalactan">Arabinogalactan</a>, <a href="https://publications.waset.org/abstracts/search?q=Benzo%28a%29pyrene%20B%28a%29P" title=" Benzo(a)pyrene B(a)P"> Benzo(a)pyrene B(a)P</a>, <a href="https://publications.waset.org/abstracts/search?q=carcinoembryonic%20antigen%20%28CEA%29" title=" carcinoembryonic antigen (CEA)"> carcinoembryonic antigen (CEA)</a>, <a href="https://publications.waset.org/abstracts/search?q=circulating%20tumor%20DNA%20%28ctDNA%29" title=" circulating tumor DNA (ctDNA)"> circulating tumor DNA (ctDNA)</a>, <a href="https://publications.waset.org/abstracts/search?q=lactate%20dehydrogenase%20%28LDH%29" title=" lactate dehydrogenase (LDH)"> lactate dehydrogenase (LDH)</a>, <a href="https://publications.waset.org/abstracts/search?q=Tinospora%20cordifolia" title=" Tinospora cordifolia"> Tinospora cordifolia</a> </p> <a href="https://publications.waset.org/abstracts/76805/anticancer-potentials-of-aqueous-tinospora-cordifolia-and-its-bioactive-polysaccharide-arabinogalactan-on-benzoapyrene-induced-pulmonary-tumorigenesis-a-study-with-relevance-to-blood-based-biomarkers" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/76805.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">185</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">2</span> Sensing of Cancer DNA Using Resonance Frequency</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sungsoo%20Na">Sungsoo Na</a>, <a href="https://publications.waset.org/abstracts/search?q=Chanho%20Park"> Chanho Park</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lung cancer is one of the most common severe diseases driving to the death of a human. Lung cancer can be divided into two cases of small-cell lung cancer (SCLC) and non-SCLC (NSCLC), and about 80% of lung cancers belong to the case of NSCLC. From several studies, the correlation between epidermal growth factor receptor (EGFR) and NSCLCs has been investigated. Therefore, EGFR inhibitor drugs such as gefitinib and erlotinib have been used as lung cancer treatments. However, the treatments result showed low response (10~20%) in clinical trials due to EGFR mutations that cause the drug resistance. Patients with resistance to EGFR inhibitor drugs usually are positive to KRAS mutation. Therefore, assessment of EGFR and KRAS mutation is essential for target therapies of NSCLC patient. In order to overcome the limitation of conventional therapies, overall EGFR and KRAS mutations have to be monitored. In this work, the only detection of EGFR will be presented. A variety of techniques has been presented for the detection of EGFR mutations. The standard detection method of EGFR mutation in ctDNA relies on real-time polymerase chain reaction (PCR). Real-time PCR method provides high sensitive detection performance. However, as the amplification step increases cost effect and complexity increase as well. Other types of technology such as BEAMing, next generation sequencing (NGS), an electrochemical sensor and silicon nanowire field-effect transistor have been presented. However, those technologies have limitations of low sensitivity, high cost and complexity of data analyzation. In this report, we propose a label-free and high-sensitive detection method of lung cancer using quartz crystal microbalance based platform. The proposed platform is able to sense lung cancer mutant DNA with a limit of detection of 1nM. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cancer%20DNA" title="cancer DNA">cancer DNA</a>, <a href="https://publications.waset.org/abstracts/search?q=resonance%20frequency" title=" resonance frequency"> resonance frequency</a>, <a href="https://publications.waset.org/abstracts/search?q=quartz%20crystal%20microbalance" title=" quartz crystal microbalance"> quartz crystal microbalance</a>, <a href="https://publications.waset.org/abstracts/search?q=lung%20cancer" title=" lung cancer"> lung cancer</a> </p> <a href="https://publications.waset.org/abstracts/71976/sensing-of-cancer-dna-using-resonance-frequency" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/71976.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">233</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">1</span> Using Multiomic Plasma Profiling From Liquid Biopsies to Identify Potential Signatures for Disease Diagnostics in Late-Stage Non-small Cell Lung Cancer (NSCLC) in Trinidad and Tobago</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Nicole%20Ramlachan">Nicole Ramlachan</a>, <a href="https://publications.waset.org/abstracts/search?q=Samuel%20Mark%20West"> Samuel Mark West</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Lung cancer is the leading cause of cancer-associated deaths in North America, with the vast majority being non-small cell lung cancer (NSCLC), with a five-year survival rate of only 24%. Non-invasive discovery of biomarkers associated with early-diagnosis of NSCLC can enable precision oncology efforts using liquid biopsy-based multiomics profiling of plasma. Although tissue biopsies are currently the gold standard for tumor profiling, this method presents many limitations since these are invasive, risky, and sometimes hard to obtain as well as only giving a limited tumor profile. Blood-based tests provides a less-invasive, more robust approach to interrogate both tumor- and non-tumor-derived signals. We intend to examine 30 stage III-IV NSCLC patients pre-surgery and collect plasma samples.Cell-free DNA (cfDNA) will be extracted from plasma, and next-generation sequencing (NGS) performed. Through the analysis of tumor-specific alterations, including single nucleotide variants (SNVs), insertions, deletions, copy number variations (CNVs), and methylation alterations, we intend to identify tumor-derived DNA—ctDNA among the total pool of cfDNA. This would generate data to be used as an accurate form of cancer genotyping for diagnostic purposes. Using liquid biopsies offer opportunities to improve the surveillance of cancer patients during treatment and would supplement current diagnosis and tumor profiling strategies previously not readily available in Trinidad and Tobago. It would be useful and advantageous to use this in diagnosis and tumour profiling as well as to monitor cancer patients, providing early information regarding disease evolution and treatment efficacy, and reorient treatment strategies in, timethereby improving clinical oncology outcomes. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=genomics" title="genomics">genomics</a>, <a href="https://publications.waset.org/abstracts/search?q=multiomics" title=" multiomics"> multiomics</a>, <a href="https://publications.waset.org/abstracts/search?q=clinical%20genetics" title=" clinical genetics"> clinical genetics</a>, <a href="https://publications.waset.org/abstracts/search?q=genotyping" title=" genotyping"> genotyping</a>, <a href="https://publications.waset.org/abstracts/search?q=oncology" title=" oncology"> oncology</a>, <a href="https://publications.waset.org/abstracts/search?q=diagnostics" title=" diagnostics"> diagnostics</a> </p> <a href="https://publications.waset.org/abstracts/150896/using-multiomic-plasma-profiling-from-liquid-biopsies-to-identify-potential-signatures-for-disease-diagnostics-in-late-stage-non-small-cell-lung-cancer-nsclc-in-trinidad-and-tobago" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/150896.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">161</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" 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