Detection of specific chromosomal aberrations in urine using BCA-1 (oligo-CGH-array) enhances diagnostic sensitivity and predicts the aggressiveness of non-muscle-invasive bladder ... View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-04

AUTHORS

Olivier Cussenot, Karim Sighar, Mansoor Mohammed, Sylvain Hugonin, Valérie Ondet, Stéphane Larre, Roger Lacave, Morgan Roupret, Géraldine Cancel-Tassin

ABSTRACT

INTRODUCTION: Bladder carcinoma (B-TCC) is the fifth most prevalent carcinoma in the United States (US) or Europe. In addition, B-TCC is the most expensive carcinoma per patient between diagnosis and death, because of its 50-80 % recurrence rate. B-TCC is an optimal carcinoma for which to detect DNA alterations in urine, which is easily obtainable. Chromosomal aberrations in tumors have been closely related to the carcinogenesis process. MATERIAL AND METHODS: We developed a highly specific and sensitive oligo-CGH-array for the diagnosis and follow-up of B-TCC, based on the detection of chromosomal aberrations in urine samples. One hundred and sixty-four urine samples were analyzed. The qualitative results, including chromosomal aberrations, were obtained. Quantitative results are expressed as a percentage of chromosomal alterations on the autosomes. RESULTS: From the urine samples, we were able to differentiate B-TCC from non-malignant conditions with an accuracy of 100 % for patients without history of B-TCC. For follow-up of B-TCC in clinical practice, at least a deletion (8p; 9p; 9q) or a cut-off of >2 % of chromosomal imbalance was considered as a positive test. According to our criteria, 100 % of high-grade tumors were diagnosed, and the sensitivity to predict positive cystoscopy was 95 % (specificity 73 %). A cut-off >9 % was a strong signature of high-grade TCC (odds ratio 53 CI 95 % 7-417; p = 0.0002). CONCLUSION: We developed a sensitive clinical tool for the detection of B-TCC using DNA extracted from patient urine. This tool is also able to identify low-grade B-TCC and identify high-risk patients harboring a high-grade disease. More... »

PAGES

551-557

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00345-013-1191-3

DOI

http://dx.doi.org/10.1007/s00345-013-1191-3

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1027435997

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24196429


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "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"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged, 80 and over", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Transitional Cell", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromosome Aberrations", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Comparative Genomic Hybridization", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Cystoscopy", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Urinary Bladder Neoplasms", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "CeRePP, Paris, France", 
            "GRC-05, Institut Universitaire de Cancerologie (IUC), University Paris-6, Paris, France", 
            "Department of Urology Tenon and Piti\u00e9 Hospitals, University Paris-6, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cussenot", 
        "givenName": "Olivier", 
        "id": "sg:person.013241233644.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013241233644.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "ArrayGenomics, Voisins-le-Bretonneux, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sighar", 
        "givenName": "Karim", 
        "id": "sg:person.01105001333.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105001333.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Managenedx, 1277 Kestell Blvd, L6H0B3, Oakville, ON, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mohammed", 
        "givenName": "Mansoor", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tenon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413483.9", 
          "name": [
            "Departments of Tumor Biology, Tenon Hospital, IUC, University Paris-6, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hugonin", 
        "givenName": "Sylvain", 
        "id": "sg:person.01203447760.89", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203447760.89"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "CeRePP, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ondet", 
        "givenName": "Val\u00e9rie", 
        "id": "sg:person.01060621673.25", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060621673.25"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "CeRePP, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Larre", 
        "givenName": "St\u00e9phane", 
        "id": "sg:person.01130250616.37", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130250616.37"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tenon Hospital", 
          "id": "https://www.grid.ac/institutes/grid.413483.9", 
          "name": [
            "Departments of Tumor Biology, Tenon Hospital, IUC, University Paris-6, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lacave", 
        "givenName": "Roger", 
        "id": "sg:person.01222250364.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222250364.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "CeRePP, Paris, France", 
            "GRC-05, Institut Universitaire de Cancerologie (IUC), University Paris-6, Paris, France", 
            "Department of Urology Tenon and Piti\u00e9 Hospitals, University Paris-6, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Roupret", 
        "givenName": "Morgan", 
        "id": "sg:person.0740171455.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740171455.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "CeRePP, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cancel-Tassin", 
        "givenName": "G\u00e9raldine", 
        "id": "sg:person.0762626142.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762626142.06"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1126/science.271.5249.659", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001850296"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pap.0b013e31827bd0ec", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001893829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/pap.0b013e31827bd0ec", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001893829"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0013821", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001894524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.20180", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003256947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.juro.2013.01.100", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007336071"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.humpath.2010.07.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010569264"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/cncr.25523", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014414153"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-05-1045", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014497848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1464-410x.2012.11454.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018622240"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1158/1078-0432.ccr-12-1807", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021627138"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ucl.2013.01.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024799758"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2559.2011.03859.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027890111"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2010.10.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032503034"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.eururo.2011.03.017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034941333"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gr.2228504", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037363719"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0024237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038953993"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0215(20001120)89:6<514::aid-ijc8>3.0.co;2-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040130507"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/1097-0215(20001120)89:6<514::aid-ijc8>3.0.co;2-h", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040130507"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.purol.2012.09.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041825043"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0060927", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047900484"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0272989x12465353", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051270545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1177/0272989x12465353", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051270545"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/95.8.588", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052782771"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.287.5460.2017", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062568782"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1075295414", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1076575045", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-04", 
    "datePublishedReg": "2014-04-01", 
    "description": "INTRODUCTION: Bladder carcinoma (B-TCC) is the fifth most prevalent carcinoma in the United States (US) or Europe. In addition, B-TCC is the most expensive carcinoma per patient between diagnosis and death, because of its 50-80 % recurrence rate. B-TCC is an optimal carcinoma for which to detect DNA alterations in urine, which is easily obtainable. Chromosomal aberrations in tumors have been closely related to the carcinogenesis process.\nMATERIAL AND METHODS: We developed a highly specific and sensitive oligo-CGH-array for the diagnosis and follow-up of B-TCC, based on the detection of chromosomal aberrations in urine samples. One hundred and sixty-four urine samples were analyzed. The qualitative results, including chromosomal aberrations, were obtained. Quantitative results are expressed as a percentage of chromosomal alterations on the autosomes.\nRESULTS: From the urine samples, we were able to differentiate B-TCC from non-malignant conditions with an accuracy of 100 % for patients without history of B-TCC. For follow-up of B-TCC in clinical practice, at least a deletion (8p; 9p; 9q) or a cut-off of >2 % of chromosomal imbalance was considered as a positive test. According to our criteria, 100 % of high-grade tumors were diagnosed, and the sensitivity to predict positive cystoscopy was 95 % (specificity 73 %). A cut-off >9 % was a strong signature of high-grade TCC (odds ratio 53 CI 95 % 7-417; p = 0.0002).\nCONCLUSION: We developed a sensitive clinical tool for the detection of B-TCC using DNA extracted from patient urine. This tool is also able to identify low-grade B-TCC and identify high-risk patients harboring a high-grade disease.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00345-013-1191-3", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1094127", 
        "issn": [
          "0724-4983", 
          "1433-8726"
        ], 
        "name": "World Journal of Urology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "32"
      }
    ], 
    "name": "Detection of specific chromosomal aberrations in urine using BCA-1 (oligo-CGH-array) enhances diagnostic sensitivity and predicts the aggressiveness of non-muscle-invasive bladder transitional cell carcinoma", 
    "pagination": "551-557", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "82b21a6df8c4633644465ebe37a25419301564e7d8401b087899f7dd9bad56cb"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "24196429"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "8307716"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00345-013-1191-3"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1027435997"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00345-013-1191-3", 
      "https://app.dimensions.ai/details/publication/pub.1027435997"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T09:59", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000347_0000000347/records_89814_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007%2Fs00345-013-1191-3"
  }
]
 

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.10.1007/s00345-013-1191-3'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00345-013-1191-3'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00345-013-1191-3'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00345-013-1191-3'


 

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

268 TRIPLES      21 PREDICATES      67 URIs      35 LITERALS      23 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00345-013-1191-3 schema:about N0610bb8a04f5497eb14a613d5541cd7f
2 N1cc27cf88ef34940a21bf32d7a97264b
3 N3c44056cbf204699ae063dddbaa73ee4
4 N3cb86cb41dcc44358d8d301e8e935c80
5 N56978bcd1336421395b457bd4137ea17
6 N8bd53c5c281f49708f1ee4e3faa885c6
7 N95312670181f40f18efa29c445711b8c
8 Nc08dec5fef144640857a1fb6b59740a6
9 Nc53dbe6b60394324ae6073ae0710cfe9
10 Ncd93f9401e194bbdab8717e8d2b629f5
11 Nd35a8f7c68c343e88cfddd124f279553
12 Ndd151fe3eb194cb38de437964fbfbb81
13 Nee0c864c3c1f48e5a54aa8b489ffb124
14 Nfc73302fc4b2494a919abe9a7305208a
15 anzsrc-for:11
16 anzsrc-for:1112
17 schema:author Nc5421e55c018457fbccf5e48a0b480ad
18 schema:citation https://app.dimensions.ai/details/publication/pub.1075295414
19 https://app.dimensions.ai/details/publication/pub.1076575045
20 https://doi.org/10.1002/1097-0215(20001120)89:6<514::aid-ijc8>3.0.co;2-h
21 https://doi.org/10.1002/cncr.25523
22 https://doi.org/10.1002/ijc.20180
23 https://doi.org/10.1016/j.eururo.2010.10.007
24 https://doi.org/10.1016/j.eururo.2011.03.017
25 https://doi.org/10.1016/j.humpath.2010.07.007
26 https://doi.org/10.1016/j.juro.2013.01.100
27 https://doi.org/10.1016/j.purol.2012.09.015
28 https://doi.org/10.1016/j.ucl.2013.01.015
29 https://doi.org/10.1093/jnci/95.8.588
30 https://doi.org/10.1097/pap.0b013e31827bd0ec
31 https://doi.org/10.1101/gr.2228504
32 https://doi.org/10.1111/j.1365-2559.2011.03859.x
33 https://doi.org/10.1111/j.1464-410x.2012.11454.x
34 https://doi.org/10.1126/science.271.5249.659
35 https://doi.org/10.1126/science.287.5460.2017
36 https://doi.org/10.1158/1078-0432.ccr-05-1045
37 https://doi.org/10.1158/1078-0432.ccr-12-1807
38 https://doi.org/10.1177/0272989x12465353
39 https://doi.org/10.1371/journal.pone.0013821
40 https://doi.org/10.1371/journal.pone.0024237
41 https://doi.org/10.1371/journal.pone.0060927
42 schema:datePublished 2014-04
43 schema:datePublishedReg 2014-04-01
44 schema:description INTRODUCTION: Bladder carcinoma (B-TCC) is the fifth most prevalent carcinoma in the United States (US) or Europe. In addition, B-TCC is the most expensive carcinoma per patient between diagnosis and death, because of its 50-80 % recurrence rate. B-TCC is an optimal carcinoma for which to detect DNA alterations in urine, which is easily obtainable. Chromosomal aberrations in tumors have been closely related to the carcinogenesis process. MATERIAL AND METHODS: We developed a highly specific and sensitive oligo-CGH-array for the diagnosis and follow-up of B-TCC, based on the detection of chromosomal aberrations in urine samples. One hundred and sixty-four urine samples were analyzed. The qualitative results, including chromosomal aberrations, were obtained. Quantitative results are expressed as a percentage of chromosomal alterations on the autosomes. RESULTS: From the urine samples, we were able to differentiate B-TCC from non-malignant conditions with an accuracy of 100 % for patients without history of B-TCC. For follow-up of B-TCC in clinical practice, at least a deletion (8p; 9p; 9q) or a cut-off of >2 % of chromosomal imbalance was considered as a positive test. According to our criteria, 100 % of high-grade tumors were diagnosed, and the sensitivity to predict positive cystoscopy was 95 % (specificity 73 %). A cut-off >9 % was a strong signature of high-grade TCC (odds ratio 53 CI 95 % 7-417; p = 0.0002). CONCLUSION: We developed a sensitive clinical tool for the detection of B-TCC using DNA extracted from patient urine. This tool is also able to identify low-grade B-TCC and identify high-risk patients harboring a high-grade disease.
45 schema:genre research_article
46 schema:inLanguage en
47 schema:isAccessibleForFree true
48 schema:isPartOf N148ca2f93fb940048613d72b97a3b855
49 N431931d333d24079941851bc8885350b
50 sg:journal.1094127
51 schema:name Detection of specific chromosomal aberrations in urine using BCA-1 (oligo-CGH-array) enhances diagnostic sensitivity and predicts the aggressiveness of non-muscle-invasive bladder transitional cell carcinoma
52 schema:pagination 551-557
53 schema:productId N2c5d66b03ecc4ee0b8f41db4034f762e
54 N598eddeb07b9478e82e980ee497bb2c5
55 N6fd8582e0fd34315a3072e266516a3e8
56 Na7e55e35ea194052a6fd207744fca32f
57 Nb0c49b0134fd42fe93d4598f22780e5f
58 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027435997
59 https://doi.org/10.1007/s00345-013-1191-3
60 schema:sdDatePublished 2019-04-11T09:59
61 schema:sdLicense https://scigraph.springernature.com/explorer/license/
62 schema:sdPublisher N89371b433d764d25b913000d2bac87ff
63 schema:url http://link.springer.com/10.1007%2Fs00345-013-1191-3
64 sgo:license sg:explorer/license/
65 sgo:sdDataset articles
66 rdf:type schema:ScholarlyArticle
67 N0610bb8a04f5497eb14a613d5541cd7f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
68 schema:name Middle Aged
69 rdf:type schema:DefinedTerm
70 N06a2818edf57450fac959a23a9f9ec62 schema:name Managenedx, 1277 Kestell Blvd, L6H0B3, Oakville, ON, Canada
71 rdf:type schema:Organization
72 N09be43c89a8a4a8e9c4d3f8b75eb839a schema:name CeRePP, Paris, France
73 rdf:type schema:Organization
74 N148ca2f93fb940048613d72b97a3b855 schema:issueNumber 2
75 rdf:type schema:PublicationIssue
76 N1cc27cf88ef34940a21bf32d7a97264b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
77 schema:name Case-Control Studies
78 rdf:type schema:DefinedTerm
79 N2c5d66b03ecc4ee0b8f41db4034f762e schema:name dimensions_id
80 schema:value pub.1027435997
81 rdf:type schema:PropertyValue
82 N352a8016b4be4e128bf5dbd4c67a4376 schema:affiliation N06a2818edf57450fac959a23a9f9ec62
83 schema:familyName Mohammed
84 schema:givenName Mansoor
85 rdf:type schema:Person
86 N3c3cc9c9db254929aa5d84de3328d1e1 rdf:first N352a8016b4be4e128bf5dbd4c67a4376
87 rdf:rest N77fe63cab646405996db8319110817a2
88 N3c44056cbf204699ae063dddbaa73ee4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name Female
90 rdf:type schema:DefinedTerm
91 N3cb86cb41dcc44358d8d301e8e935c80 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
92 schema:name Aged
93 rdf:type schema:DefinedTerm
94 N431931d333d24079941851bc8885350b schema:volumeNumber 32
95 rdf:type schema:PublicationVolume
96 N56978bcd1336421395b457bd4137ea17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Male
98 rdf:type schema:DefinedTerm
99 N598eddeb07b9478e82e980ee497bb2c5 schema:name doi
100 schema:value 10.1007/s00345-013-1191-3
101 rdf:type schema:PropertyValue
102 N6eaab95d44064fa4910aa0ba3bcb5d55 rdf:first sg:person.0740171455.76
103 rdf:rest N92430a9020ad43198dda085667e92556
104 N6fd8582e0fd34315a3072e266516a3e8 schema:name readcube_id
105 schema:value 82b21a6df8c4633644465ebe37a25419301564e7d8401b087899f7dd9bad56cb
106 rdf:type schema:PropertyValue
107 N773a8d31c7ab403bb0e6393d2a263fc3 schema:name CeRePP, Paris, France
108 rdf:type schema:Organization
109 N77fe63cab646405996db8319110817a2 rdf:first sg:person.01203447760.89
110 rdf:rest Nec521838af104a31b13091b3cccac4dc
111 N7d019e76b1e748b983e21bc856bc36e6 rdf:first sg:person.01105001333.46
112 rdf:rest N3c3cc9c9db254929aa5d84de3328d1e1
113 N89371b433d764d25b913000d2bac87ff schema:name Springer Nature - SN SciGraph project
114 rdf:type schema:Organization
115 N8bd53c5c281f49708f1ee4e3faa885c6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Aged, 80 and over
117 rdf:type schema:DefinedTerm
118 N92430a9020ad43198dda085667e92556 rdf:first sg:person.0762626142.06
119 rdf:rest rdf:nil
120 N927bb8207e3345299f8249cdbeabdf72 rdf:first sg:person.01222250364.66
121 rdf:rest N6eaab95d44064fa4910aa0ba3bcb5d55
122 N95312670181f40f18efa29c445711b8c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Cystoscopy
124 rdf:type schema:DefinedTerm
125 N9e5dcf16d0fa4884be499a423775e8e1 rdf:first sg:person.01130250616.37
126 rdf:rest N927bb8207e3345299f8249cdbeabdf72
127 N9f78e37e93f24a95b0f5367cccecf8bc schema:name CeRePP, Paris, France
128 Department of Urology Tenon and Pitié Hospitals, University Paris-6, Paris, France
129 GRC-05, Institut Universitaire de Cancerologie (IUC), University Paris-6, Paris, France
130 rdf:type schema:Organization
131 Na7e55e35ea194052a6fd207744fca32f schema:name pubmed_id
132 schema:value 24196429
133 rdf:type schema:PropertyValue
134 Nb0c49b0134fd42fe93d4598f22780e5f schema:name nlm_unique_id
135 schema:value 8307716
136 rdf:type schema:PropertyValue
137 Nc08dec5fef144640857a1fb6b59740a6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Biomarkers, Tumor
139 rdf:type schema:DefinedTerm
140 Nc53dbe6b60394324ae6073ae0710cfe9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Urinary Bladder Neoplasms
142 rdf:type schema:DefinedTerm
143 Nc5421e55c018457fbccf5e48a0b480ad rdf:first sg:person.013241233644.08
144 rdf:rest N7d019e76b1e748b983e21bc856bc36e6
145 Ncd93f9401e194bbdab8717e8d2b629f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
146 schema:name Humans
147 rdf:type schema:DefinedTerm
148 Nd0728133f1ee403f87a226e5a5f40bd1 schema:name CeRePP, Paris, France
149 Department of Urology Tenon and Pitié Hospitals, University Paris-6, Paris, France
150 GRC-05, Institut Universitaire de Cancerologie (IUC), University Paris-6, Paris, France
151 rdf:type schema:Organization
152 Nd35a8f7c68c343e88cfddd124f279553 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
153 schema:name Chromosome Aberrations
154 rdf:type schema:DefinedTerm
155 Ndd151fe3eb194cb38de437964fbfbb81 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Comparative Genomic Hybridization
157 rdf:type schema:DefinedTerm
158 Ne4b522c9a6794064b3651eb69c098897 schema:name ArrayGenomics, Voisins-le-Bretonneux, France
159 rdf:type schema:Organization
160 Nec521838af104a31b13091b3cccac4dc rdf:first sg:person.01060621673.25
161 rdf:rest N9e5dcf16d0fa4884be499a423775e8e1
162 Nee0c864c3c1f48e5a54aa8b489ffb124 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
163 schema:name Sensitivity and Specificity
164 rdf:type schema:DefinedTerm
165 Nefef5de33b1f481eb82ac322d2f833e7 schema:name CeRePP, Paris, France
166 rdf:type schema:Organization
167 Nfc73302fc4b2494a919abe9a7305208a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Carcinoma, Transitional Cell
169 rdf:type schema:DefinedTerm
170 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
171 schema:name Medical and Health Sciences
172 rdf:type schema:DefinedTerm
173 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
174 schema:name Oncology and Carcinogenesis
175 rdf:type schema:DefinedTerm
176 sg:journal.1094127 schema:issn 0724-4983
177 1433-8726
178 schema:name World Journal of Urology
179 rdf:type schema:Periodical
180 sg:person.01060621673.25 schema:affiliation Nefef5de33b1f481eb82ac322d2f833e7
181 schema:familyName Ondet
182 schema:givenName Valérie
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01060621673.25
184 rdf:type schema:Person
185 sg:person.01105001333.46 schema:affiliation Ne4b522c9a6794064b3651eb69c098897
186 schema:familyName Sighar
187 schema:givenName Karim
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01105001333.46
189 rdf:type schema:Person
190 sg:person.01130250616.37 schema:affiliation N09be43c89a8a4a8e9c4d3f8b75eb839a
191 schema:familyName Larre
192 schema:givenName Stéphane
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130250616.37
194 rdf:type schema:Person
195 sg:person.01203447760.89 schema:affiliation https://www.grid.ac/institutes/grid.413483.9
196 schema:familyName Hugonin
197 schema:givenName Sylvain
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01203447760.89
199 rdf:type schema:Person
200 sg:person.01222250364.66 schema:affiliation https://www.grid.ac/institutes/grid.413483.9
201 schema:familyName Lacave
202 schema:givenName Roger
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01222250364.66
204 rdf:type schema:Person
205 sg:person.013241233644.08 schema:affiliation Nd0728133f1ee403f87a226e5a5f40bd1
206 schema:familyName Cussenot
207 schema:givenName Olivier
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013241233644.08
209 rdf:type schema:Person
210 sg:person.0740171455.76 schema:affiliation N9f78e37e93f24a95b0f5367cccecf8bc
211 schema:familyName Roupret
212 schema:givenName Morgan
213 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0740171455.76
214 rdf:type schema:Person
215 sg:person.0762626142.06 schema:affiliation N773a8d31c7ab403bb0e6393d2a263fc3
216 schema:familyName Cancel-Tassin
217 schema:givenName Géraldine
218 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0762626142.06
219 rdf:type schema:Person
220 https://app.dimensions.ai/details/publication/pub.1075295414 schema:CreativeWork
221 https://app.dimensions.ai/details/publication/pub.1076575045 schema:CreativeWork
222 https://doi.org/10.1002/1097-0215(20001120)89:6<514::aid-ijc8>3.0.co;2-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1040130507
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1002/cncr.25523 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014414153
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1002/ijc.20180 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003256947
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/j.eururo.2010.10.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032503034
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/j.eururo.2011.03.017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034941333
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/j.humpath.2010.07.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010569264
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/j.juro.2013.01.100 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007336071
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1016/j.purol.2012.09.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041825043
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1016/j.ucl.2013.01.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024799758
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1093/jnci/95.8.588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052782771
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1097/pap.0b013e31827bd0ec schema:sameAs https://app.dimensions.ai/details/publication/pub.1001893829
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1101/gr.2228504 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037363719
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1111/j.1365-2559.2011.03859.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1027890111
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1111/j.1464-410x.2012.11454.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1018622240
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1126/science.271.5249.659 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001850296
251 rdf:type schema:CreativeWork
252 https://doi.org/10.1126/science.287.5460.2017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062568782
253 rdf:type schema:CreativeWork
254 https://doi.org/10.1158/1078-0432.ccr-05-1045 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014497848
255 rdf:type schema:CreativeWork
256 https://doi.org/10.1158/1078-0432.ccr-12-1807 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021627138
257 rdf:type schema:CreativeWork
258 https://doi.org/10.1177/0272989x12465353 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051270545
259 rdf:type schema:CreativeWork
260 https://doi.org/10.1371/journal.pone.0013821 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001894524
261 rdf:type schema:CreativeWork
262 https://doi.org/10.1371/journal.pone.0024237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038953993
263 rdf:type schema:CreativeWork
264 https://doi.org/10.1371/journal.pone.0060927 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047900484
265 rdf:type schema:CreativeWork
266 https://www.grid.ac/institutes/grid.413483.9 schema:alternateName Tenon Hospital
267 schema:name Departments of Tumor Biology, Tenon Hospital, IUC, University Paris-6, Paris, France
268 rdf:type schema:Organization
 




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


...