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            <name>Title</name>
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                <text>Articles</text>
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    <name>Article</name>
    <description>Faculty Publications -Articles</description>
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          <name>Title</name>
          <description>A name given to the resource</description>
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              <text>Assessment of microsatellite instability for screening bladder cancer in high-risk population</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Bladder cancer; microsatellite instability; microsatellite markers</text>
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          <name>Description</name>
          <description>An account of the resource</description>
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              <text>Aims: This study aims to determine the diagnostic efficacy of microsatellite markers for screening bladder cancer in population at high risk. Materials and Methods: A population of 200 people was screened for bladder cancer using a set of microsatellite markers. Urine samples were obtained from four different types of population groups - Group 1 (healthy population group), Group 2 (current smokers with a smoking history of more than 10 years), Group 3 (bladder cancer group), and Group 4 (bladder cancer group who were former smokers with a history of more than 10 years). Polymerase chain reaction (PCR) was performed to amplify microsatellite sequences at D9S63, D9S156, and D9S283. PCR products were separated on 1.8% agarose gel and were scanned using ultraviolet transilluminator. Results: In Group 2 (high-risk population group, mainly current smokers with a history of more than 10 years), microsatellite alterations were found in 36 out of 50 people. We observed microsatellite alterations in 38 out of 50 people in Group 3 (bladder cancer group) and in 39 out of 50 people in Group 4 (bladder cancer group, mainly former smokers with a history of more than 10 years). The sensitivity of this test in Group 2, Group 3, and Group 4 was found to be 72%, 76% and 78%, respectively. The specificity of this test in each group was found to be 90%. Conclusion: Using these set of microsatellite markers, medium sensitivity and high specificity were reported for this test. The current findings suggest that a set of microsatellite markers (D9S63, D9S156, and D9S283) can be used to detect bladder cancer in high-risk population.  2018 Medknow Publications. All Rights Reserved.</text>
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          <name>Creator</name>
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            <elementText elementTextId="132669">
              <text>Wadhwa N.; Mathew B.; Tandon S.; Biju V.; Tiwari A.</text>
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              <text>Journal of Cancer Research and Therapeutics, Vol-14, No. 5, pp. 916-920.</text>
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          <name>Publisher</name>
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            <elementText elementTextId="132671">
              <text>Wolters Kluwer Medknow Publications</text>
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          <name>Date</name>
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              <text>2018-01-01</text>
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          <name>Identifier</name>
          <description>An unambiguous reference to the resource within a given context</description>
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            <elementText elementTextId="132673">
              <text>&lt;a href="https://doi.org/10.4103/jcrt.JCRT_346_13" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4103/jcrt.JCRT_346_13&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053342351&amp;amp;doi=10.4103%2Fjcrt.JCRT_346_13&amp;amp;partnerID=40&amp;amp;md5=f8325244f6b39060b028de8f3dc31e8c" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053342351&amp;amp;doi=10.4103%2fjcrt.JCRT_346_13&amp;amp;partnerID=40&amp;amp;md5=f8325244f6b39060b028de8f3dc31e8c&lt;/a&gt;</text>
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          <name>Rights</name>
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            <elementText elementTextId="132674">
              <text>All Open Access; Gold Open Access</text>
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          <name>Relation</name>
          <description>A related resource</description>
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              <text>ISSN: 9731482; PubMed ID: 30197325</text>
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          <name>Format</name>
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              <text>Online</text>
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          <name>Language</name>
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            <elementText elementTextId="132677">
              <text>English</text>
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          <name>Type</name>
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              <text>Article</text>
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              <text>Wadhwa N., School of Biotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, State Technological University of Madhya Pradesh, Airport Bypass Road, Bhopal, Madhya Pradesh, 462 033, India; Mathew B., School of Biotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, State Technological University of Madhya Pradesh, Airport Bypass Road, Bhopal, Madhya Pradesh, 462 033, India; Tandon S., Jawaharlal Nehru Cancer Hospital and Research Centre, Idgah Hills, Bhopal, Madhya Pradesh, India; Biju V., Department of Computer Science and Engineering, Christ University, Kanmaike, Kumbalagodu, Bengaluru, Karnataka, India; Tiwari A., School of Biotechnology, Rajiv Gandhi Proudyogiki Vishwavidyalaya, State Technological University of Madhya Pradesh, Airport Bypass Road, Bhopal, Madhya Pradesh, 462 033, India</text>
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