Microsatellite instability test using peptide nucleic acid probe-mediated melting point analysis: a comparison study View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12-04

AUTHORS

Mi Jang, Yujin Kwon, Hoguen Kim, Hyunki Kim, Byung Soh Min, Yehyun Park, Tae Il Kim, Sung Pil Hong, Won Kyu Kim

ABSTRACT

BACKGROUND: Analysis of high microsatellite instability (MSI-H) phenotype in colorectal carcinoma (CRC) is important for evaluating prognosis and choosing a proper adjuvant therapy. Although the conventional MSI analysis methods such as polymerase chain reaction (PCR) fragment analysis and immunohistochemistry (IHC) show high specificity and sensitivity, there are substantial barriers to their use. METHODS: In this study, we analyzed the MSI detection performance of three molecular tests and IHC. For the molecular tests, we included a recently developed peptide nucleic acid probe (PNA)-mediated real-time PCR-based method using five quasi-monomorphic mononucleotide repeat markers (PNA method) and two conventional PCR fragment analysis methods using NCI markers (NCI method) or five quasi-monomorphic mononucleotide repeat markers (MNR method). IHC analysis was performed with four mismatch repair proteins. The performance of each method was validated in 166 CRC patient samples, which consisted of 76 MSI-H and 90 microsatellite stable (MSS) CRCs previously diagnosed by NCI method. RESULTS: Of the 166 CRCs, 76 MSI-H and 90 MSS CRCs were determined by PNA method. On the other hand, 75 MSI-H and 91 MSS CRCs were commonly determined by IHC and MNR methods. Based on the originally diagnosed MSI status, PNA showed 100% sensitivity and 100% specificity while IHC and MNR showed 98.68% sensitivity and 100% specificity. When we analyzed the maximum sensitivity of MNR and PNA method, which used the same five markers, PNA method could detect alterations in all five mononucleotide repeat markers in samples containing down to 5% MSI-H DNAs, whereas MNR required at least 20% MSI-H DNAs to achieve the same performance. CONCLUSIONS: Based on these findings, we suggest that PNA method can be used as a practical laboratory test for the diagnosis of MSI. More... »

PAGES

1218

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s12885-018-5127-6

DOI

http://dx.doi.org/10.1186/s12885-018-5127-6

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1110377432

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30514259


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colorectal Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "HeLa Cells", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microsatellite Instability", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microsatellite Repeats", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Peptide Nucleic Acids", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Polymerase Chain Reaction", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jang", 
        "givenName": "Mi", 
        "id": "sg:person.0645665037.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645665037.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Brain Korea 21 PLUS Projects for Medical Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea", 
            "Brain Korea 21 PLUS Projects for Medical Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kwon", 
        "givenName": "Yujin", 
        "id": "sg:person.015710606623.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015710606623.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Brain Korea 21 PLUS Projects for Medical Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea", 
            "Brain Korea 21 PLUS Projects for Medical Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Hoguen", 
        "id": "sg:person.01003376625.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003376625.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Hyunki", 
        "id": "sg:person.01061166771.52", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061166771.52"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Yonsei University College of Medicine, Seoul, 120-752 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Surgery, Yonsei University College of Medicine, Seoul, 120-752 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Min", 
        "givenName": "Byung Soh", 
        "id": "sg:person.0626347544.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626347544.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, 120-752 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, 120-752 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Yehyun", 
        "id": "sg:person.0606507430.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606507430.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, 120-752 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, 120-752 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Tae Il", 
        "id": "sg:person.015302742440.35", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015302742440.35"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery and Cancer, Imperial College London, London, W120NN UK", 
          "id": "http://www.grid.ac/institutes/grid.7445.2", 
          "name": [
            "Department of Surgery and Cancer, Imperial College London, London, W120NN UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "Sung Pil", 
        "id": "sg:person.01120052374.02", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120052374.02"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Brain Korea 21 PLUS Projects for Medical Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea", 
          "id": "http://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea", 
            "Brain Korea 21 PLUS Projects for Medical Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Won Kyu", 
        "id": "sg:person.01334532177.81", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334532177.81"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/modpathol.2012.138", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017027065", 
          "https://doi.org/10.1038/modpathol.2012.138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11864-015-0348-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028423353", 
          "https://doi.org/10.1007/s11864-015-0348-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s10689-016-9884-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027214506", 
          "https://doi.org/10.1007/s10689-016-9884-6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm.4191", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015240642", 
          "https://doi.org/10.1038/nm.4191"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12575-015-0027-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043479777", 
          "https://doi.org/10.1186/s12575-015-0027-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s13000-017-0613-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084251677", 
          "https://doi.org/10.1186/s13000-017-0613-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrclinonc.2009.237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032210490", 
          "https://doi.org/10.1038/nrclinonc.2009.237"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12-04", 
    "datePublishedReg": "2018-12-04", 
    "description": "BACKGROUND: Analysis of high microsatellite instability (MSI-H) phenotype in colorectal carcinoma (CRC) is important for evaluating prognosis and choosing a proper adjuvant therapy. Although the conventional MSI analysis methods such as polymerase chain reaction (PCR) fragment analysis and immunohistochemistry (IHC) show high specificity and sensitivity, there are substantial barriers to their use.\nMETHODS: In this study, we analyzed the MSI detection performance of three molecular tests and IHC. For the molecular tests, we included a recently developed peptide nucleic acid probe (PNA)-mediated real-time PCR-based method using five quasi-monomorphic mononucleotide repeat markers (PNA method) and two conventional PCR fragment analysis methods using NCI markers (NCI method) or five quasi-monomorphic mononucleotide repeat markers (MNR method). IHC analysis was performed with four mismatch repair proteins. The performance of each method was validated in 166 CRC patient samples, which consisted of 76 MSI-H and 90 microsatellite stable (MSS) CRCs previously diagnosed by NCI method.\nRESULTS: Of the 166 CRCs, 76 MSI-H and 90 MSS CRCs were determined by PNA method. On the other hand, 75 MSI-H and 91 MSS CRCs were commonly determined by IHC and MNR methods. Based on the originally diagnosed MSI status, PNA showed 100% sensitivity and 100% specificity while IHC and MNR showed 98.68% sensitivity and 100% specificity. When we analyzed the maximum sensitivity of MNR and PNA method, which used the same five markers, PNA method could detect alterations in all five mononucleotide repeat markers in samples containing down to 5% MSI-H DNAs, whereas MNR required at least 20% MSI-H DNAs to achieve the same performance.\nCONCLUSIONS: Based on these findings, we suggest that PNA method can be used as a practical laboratory test for the diagnosis of MSI.", 
    "genre": "article", 
    "id": "sg:pub.10.1186/s12885-018-5127-6", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1024632", 
        "issn": [
          "1471-2407"
        ], 
        "name": "BMC Cancer", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "18"
      }
    ], 
    "keywords": [
      "peptide nucleic acid probes", 
      "nucleic acid probes", 
      "melting point analysis", 
      "fragment analysis method", 
      "maximum sensitivity", 
      "high specificity", 
      "detection performance", 
      "acid probes", 
      "same performance", 
      "molecular tests", 
      "sensitivity", 
      "performance", 
      "practical laboratory tests", 
      "specificity", 
      "real-time PCR", 
      "method", 
      "MNR", 
      "probe", 
      "DNAs", 
      "PCR", 
      "CRC patient samples", 
      "samples", 
      "NCI method", 
      "DNA", 
      "microsatellite instability test", 
      "point analysis", 
      "comparison study", 
      "patient samples", 
      "analysis", 
      "analysis method", 
      "fragment analysis", 
      "substantial barriers", 
      "use", 
      "test", 
      "protein", 
      "PNA", 
      "barriers", 
      "hand", 
      "therapy", 
      "study", 
      "markers", 
      "repair proteins", 
      "instability test", 
      "colorectal carcinoma", 
      "mononucleotide repeat markers", 
      "IHC analysis", 
      "MSI", 
      "MSS colorectal carcinomas", 
      "PnA method", 
      "laboratory tests", 
      "diagnosis", 
      "high microsatellite instability phenotype", 
      "microsatellite instability phenotype", 
      "phenotype", 
      "proper adjuvant therapy", 
      "adjuvant therapy", 
      "immunohistochemistry", 
      "mismatch repair proteins", 
      "MSI status", 
      "diagnosis of MSI", 
      "instability phenotype", 
      "carcinoma", 
      "prognosis", 
      "NCI markers", 
      "status", 
      "alterations", 
      "repeat markers", 
      "findings", 
      "conventional MSI analysis methods", 
      "MSI analysis methods", 
      "polymerase chain reaction (PCR) fragment analysis", 
      "chain reaction (PCR) fragment analysis", 
      "reaction (PCR) fragment analysis", 
      "MSI detection performance", 
      "quasi-monomorphic mononucleotide repeat markers", 
      "conventional PCR fragment analysis methods", 
      "PCR fragment analysis methods", 
      "microsatellite stable (MSS) CRCs", 
      "stable (MSS) CRCs", 
      "MNR method", 
      "peptide nucleic acid probe-mediated melting point analysis", 
      "nucleic acid probe-mediated melting point analysis", 
      "acid probe-mediated melting point analysis", 
      "probe-mediated melting point analysis"
    ], 
    "name": "Microsatellite instability test using peptide nucleic acid probe-mediated melting point analysis: a comparison study", 
    "pagination": "1218", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1110377432"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s12885-018-5127-6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30514259"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s12885-018-5127-6", 
      "https://app.dimensions.ai/details/publication/pub.1110377432"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:33", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20211101/entities/gbq_results/article/article_793.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1186/s12885-018-5127-6"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s12885-018-5127-6'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s12885-018-5127-6'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s12885-018-5127-6'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s12885-018-5127-6'


 

This table displays all metadata directly associated to this object as RDF triples.

270 TRIPLES      22 PREDICATES      125 URIs      110 LITERALS      15 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s12885-018-5127-6 schema:about N09e2ef81c08c4df6b84b47b87bb438cc
2 N10efc16c92ee43a8aa135ac9162b7d6b
3 N286947a59ba143a18841bccd1d9a4b46
4 N298a33eda9ec4b06835a920cf550fc8c
5 N3abbf5375fab4de2a2604fe806966b74
6 N546f8f4ed0ee4ab08678ee30c7b41a25
7 N7d35632bc7f04b18a411f2288d109aa9
8 Nbdab0bd9128d4e9e88fea257a5280320
9 anzsrc-for:11
10 anzsrc-for:1103
11 schema:author Naef9b007e7a94016853b8310a64477ef
12 schema:citation sg:pub.10.1007/s10689-016-9884-6
13 sg:pub.10.1007/s11864-015-0348-2
14 sg:pub.10.1038/modpathol.2012.138
15 sg:pub.10.1038/nm.4191
16 sg:pub.10.1038/nrclinonc.2009.237
17 sg:pub.10.1186/s12575-015-0027-5
18 sg:pub.10.1186/s13000-017-0613-8
19 schema:datePublished 2018-12-04
20 schema:datePublishedReg 2018-12-04
21 schema:description BACKGROUND: Analysis of high microsatellite instability (MSI-H) phenotype in colorectal carcinoma (CRC) is important for evaluating prognosis and choosing a proper adjuvant therapy. Although the conventional MSI analysis methods such as polymerase chain reaction (PCR) fragment analysis and immunohistochemistry (IHC) show high specificity and sensitivity, there are substantial barriers to their use. METHODS: In this study, we analyzed the MSI detection performance of three molecular tests and IHC. For the molecular tests, we included a recently developed peptide nucleic acid probe (PNA)-mediated real-time PCR-based method using five quasi-monomorphic mononucleotide repeat markers (PNA method) and two conventional PCR fragment analysis methods using NCI markers (NCI method) or five quasi-monomorphic mononucleotide repeat markers (MNR method). IHC analysis was performed with four mismatch repair proteins. The performance of each method was validated in 166 CRC patient samples, which consisted of 76 MSI-H and 90 microsatellite stable (MSS) CRCs previously diagnosed by NCI method. RESULTS: Of the 166 CRCs, 76 MSI-H and 90 MSS CRCs were determined by PNA method. On the other hand, 75 MSI-H and 91 MSS CRCs were commonly determined by IHC and MNR methods. Based on the originally diagnosed MSI status, PNA showed 100% sensitivity and 100% specificity while IHC and MNR showed 98.68% sensitivity and 100% specificity. When we analyzed the maximum sensitivity of MNR and PNA method, which used the same five markers, PNA method could detect alterations in all five mononucleotide repeat markers in samples containing down to 5% MSI-H DNAs, whereas MNR required at least 20% MSI-H DNAs to achieve the same performance. CONCLUSIONS: Based on these findings, we suggest that PNA method can be used as a practical laboratory test for the diagnosis of MSI.
22 schema:genre article
23 schema:inLanguage en
24 schema:isAccessibleForFree true
25 schema:isPartOf N8296e41856524334b2b2bebbe8b9c330
26 Na7008fc1d0fc4faeadfcfbd4e7443ea4
27 sg:journal.1024632
28 schema:keywords CRC patient samples
29 DNA
30 DNAs
31 IHC analysis
32 MNR
33 MNR method
34 MSI
35 MSI analysis methods
36 MSI detection performance
37 MSI status
38 MSS colorectal carcinomas
39 NCI markers
40 NCI method
41 PCR
42 PCR fragment analysis methods
43 PNA
44 PnA method
45 acid probe-mediated melting point analysis
46 acid probes
47 adjuvant therapy
48 alterations
49 analysis
50 analysis method
51 barriers
52 carcinoma
53 chain reaction (PCR) fragment analysis
54 colorectal carcinoma
55 comparison study
56 conventional MSI analysis methods
57 conventional PCR fragment analysis methods
58 detection performance
59 diagnosis
60 diagnosis of MSI
61 findings
62 fragment analysis
63 fragment analysis method
64 hand
65 high microsatellite instability phenotype
66 high specificity
67 immunohistochemistry
68 instability phenotype
69 instability test
70 laboratory tests
71 markers
72 maximum sensitivity
73 melting point analysis
74 method
75 microsatellite instability phenotype
76 microsatellite instability test
77 microsatellite stable (MSS) CRCs
78 mismatch repair proteins
79 molecular tests
80 mononucleotide repeat markers
81 nucleic acid probe-mediated melting point analysis
82 nucleic acid probes
83 patient samples
84 peptide nucleic acid probe-mediated melting point analysis
85 peptide nucleic acid probes
86 performance
87 phenotype
88 point analysis
89 polymerase chain reaction (PCR) fragment analysis
90 practical laboratory tests
91 probe
92 probe-mediated melting point analysis
93 prognosis
94 proper adjuvant therapy
95 protein
96 quasi-monomorphic mononucleotide repeat markers
97 reaction (PCR) fragment analysis
98 real-time PCR
99 repair proteins
100 repeat markers
101 same performance
102 samples
103 sensitivity
104 specificity
105 stable (MSS) CRCs
106 status
107 study
108 substantial barriers
109 test
110 therapy
111 use
112 schema:name Microsatellite instability test using peptide nucleic acid probe-mediated melting point analysis: a comparison study
113 schema:pagination 1218
114 schema:productId N083a302ec7394a4b8496a5c932894b11
115 N77f58e4fc4b742f199600ad6816b6cfc
116 Nce1046a29a0044058d4c07e897b4fea9
117 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110377432
118 https://doi.org/10.1186/s12885-018-5127-6
119 schema:sdDatePublished 2021-11-01T18:33
120 schema:sdLicense https://scigraph.springernature.com/explorer/license/
121 schema:sdPublisher N3a5ca1073ae24dd7b90e6b9970097f56
122 schema:url https://doi.org/10.1186/s12885-018-5127-6
123 sgo:license sg:explorer/license/
124 sgo:sdDataset articles
125 rdf:type schema:ScholarlyArticle
126 N083a302ec7394a4b8496a5c932894b11 schema:name doi
127 schema:value 10.1186/s12885-018-5127-6
128 rdf:type schema:PropertyValue
129 N09e2ef81c08c4df6b84b47b87bb438cc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Humans
131 rdf:type schema:DefinedTerm
132 N10efc16c92ee43a8aa135ac9162b7d6b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name HeLa Cells
134 rdf:type schema:DefinedTerm
135 N286947a59ba143a18841bccd1d9a4b46 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Polymerase Chain Reaction
137 rdf:type schema:DefinedTerm
138 N298a33eda9ec4b06835a920cf550fc8c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Microsatellite Repeats
140 rdf:type schema:DefinedTerm
141 N39bb55a178a94652ae92ea1b269fe86a rdf:first sg:person.01334532177.81
142 rdf:rest rdf:nil
143 N3a5ca1073ae24dd7b90e6b9970097f56 schema:name Springer Nature - SN SciGraph project
144 rdf:type schema:Organization
145 N3abbf5375fab4de2a2604fe806966b74 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Biomarkers, Tumor
147 rdf:type schema:DefinedTerm
148 N3e9fa8b9396247acbae828f1505b3ae4 rdf:first sg:person.015302742440.35
149 rdf:rest N6e72e093009f4b0bb1e02497e15fbac4
150 N546f8f4ed0ee4ab08678ee30c7b41a25 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Colorectal Neoplasms
152 rdf:type schema:DefinedTerm
153 N6e72e093009f4b0bb1e02497e15fbac4 rdf:first sg:person.01120052374.02
154 rdf:rest N39bb55a178a94652ae92ea1b269fe86a
155 N77f58e4fc4b742f199600ad6816b6cfc schema:name dimensions_id
156 schema:value pub.1110377432
157 rdf:type schema:PropertyValue
158 N7d35632bc7f04b18a411f2288d109aa9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Microsatellite Instability
160 rdf:type schema:DefinedTerm
161 N8296e41856524334b2b2bebbe8b9c330 schema:issueNumber 1
162 rdf:type schema:PublicationIssue
163 N96726ceb581c4142be979df9ea5f8f90 rdf:first sg:person.0606507430.27
164 rdf:rest N3e9fa8b9396247acbae828f1505b3ae4
165 Na7008fc1d0fc4faeadfcfbd4e7443ea4 schema:volumeNumber 18
166 rdf:type schema:PublicationVolume
167 Naef9b007e7a94016853b8310a64477ef rdf:first sg:person.0645665037.23
168 rdf:rest Nc85c2b225fda44698a0670e3dffb935e
169 Nb43f179a99684b3585284bfeb8c04de4 rdf:first sg:person.0626347544.06
170 rdf:rest N96726ceb581c4142be979df9ea5f8f90
171 Nbdab0bd9128d4e9e88fea257a5280320 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
172 schema:name Peptide Nucleic Acids
173 rdf:type schema:DefinedTerm
174 Nc85c2b225fda44698a0670e3dffb935e rdf:first sg:person.015710606623.18
175 rdf:rest Nf4c62ee3d47a4b87894df648365ccd82
176 Nce1046a29a0044058d4c07e897b4fea9 schema:name pubmed_id
177 schema:value 30514259
178 rdf:type schema:PropertyValue
179 Nf4c62ee3d47a4b87894df648365ccd82 rdf:first sg:person.01003376625.30
180 rdf:rest Nf56362cf06e24778ba013d4b92ed6f2c
181 Nf56362cf06e24778ba013d4b92ed6f2c rdf:first sg:person.01061166771.52
182 rdf:rest Nb43f179a99684b3585284bfeb8c04de4
183 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
184 schema:name Medical and Health Sciences
185 rdf:type schema:DefinedTerm
186 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
187 schema:name Clinical Sciences
188 rdf:type schema:DefinedTerm
189 sg:journal.1024632 schema:issn 1471-2407
190 schema:name BMC Cancer
191 schema:publisher Springer Nature
192 rdf:type schema:Periodical
193 sg:person.01003376625.30 schema:affiliation grid-institutes:grid.15444.30
194 schema:familyName Kim
195 schema:givenName Hoguen
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01003376625.30
197 rdf:type schema:Person
198 sg:person.01061166771.52 schema:affiliation grid-institutes:grid.15444.30
199 schema:familyName Kim
200 schema:givenName Hyunki
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01061166771.52
202 rdf:type schema:Person
203 sg:person.01120052374.02 schema:affiliation grid-institutes:grid.7445.2
204 schema:familyName Hong
205 schema:givenName Sung Pil
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01120052374.02
207 rdf:type schema:Person
208 sg:person.01334532177.81 schema:affiliation grid-institutes:grid.15444.30
209 schema:familyName Kim
210 schema:givenName Won Kyu
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01334532177.81
212 rdf:type schema:Person
213 sg:person.015302742440.35 schema:affiliation grid-institutes:grid.15444.30
214 schema:familyName Kim
215 schema:givenName Tae Il
216 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015302742440.35
217 rdf:type schema:Person
218 sg:person.015710606623.18 schema:affiliation grid-institutes:grid.15444.30
219 schema:familyName Kwon
220 schema:givenName Yujin
221 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015710606623.18
222 rdf:type schema:Person
223 sg:person.0606507430.27 schema:affiliation grid-institutes:grid.15444.30
224 schema:familyName Park
225 schema:givenName Yehyun
226 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0606507430.27
227 rdf:type schema:Person
228 sg:person.0626347544.06 schema:affiliation grid-institutes:grid.15444.30
229 schema:familyName Min
230 schema:givenName Byung Soh
231 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0626347544.06
232 rdf:type schema:Person
233 sg:person.0645665037.23 schema:affiliation grid-institutes:grid.15444.30
234 schema:familyName Jang
235 schema:givenName Mi
236 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0645665037.23
237 rdf:type schema:Person
238 sg:pub.10.1007/s10689-016-9884-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027214506
239 https://doi.org/10.1007/s10689-016-9884-6
240 rdf:type schema:CreativeWork
241 sg:pub.10.1007/s11864-015-0348-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028423353
242 https://doi.org/10.1007/s11864-015-0348-2
243 rdf:type schema:CreativeWork
244 sg:pub.10.1038/modpathol.2012.138 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017027065
245 https://doi.org/10.1038/modpathol.2012.138
246 rdf:type schema:CreativeWork
247 sg:pub.10.1038/nm.4191 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015240642
248 https://doi.org/10.1038/nm.4191
249 rdf:type schema:CreativeWork
250 sg:pub.10.1038/nrclinonc.2009.237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032210490
251 https://doi.org/10.1038/nrclinonc.2009.237
252 rdf:type schema:CreativeWork
253 sg:pub.10.1186/s12575-015-0027-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043479777
254 https://doi.org/10.1186/s12575-015-0027-5
255 rdf:type schema:CreativeWork
256 sg:pub.10.1186/s13000-017-0613-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084251677
257 https://doi.org/10.1186/s13000-017-0613-8
258 rdf:type schema:CreativeWork
259 grid-institutes:grid.15444.30 schema:alternateName Brain Korea 21 PLUS Projects for Medical Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea
260 Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, 120-752 South Korea
261 Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea
262 Department of Surgery, Yonsei University College of Medicine, Seoul, 120-752 South Korea
263 schema:name Brain Korea 21 PLUS Projects for Medical Science, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea
264 Department of Internal Medicine, Institute of Gastroenterology, Yonsei University College of Medicine, Seoul, 120-752 South Korea
265 Department of Pathology, Yonsei University College of Medicine, 50 Yonsei-ro, Seodaemun-gu, Seoul, 120-752 South Korea
266 Department of Surgery, Yonsei University College of Medicine, Seoul, 120-752 South Korea
267 rdf:type schema:Organization
268 grid-institutes:grid.7445.2 schema:alternateName Department of Surgery and Cancer, Imperial College London, London, W120NN UK
269 schema:name Department of Surgery and Cancer, Imperial College London, London, W120NN UK
270 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...