A validated metabolomic signature for colorectal cancer: exploration of the clinical value of metabolomics View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2016-08-25

AUTHORS

Farshad Farshidfar, Aalim M Weljie, Karen A Kopciuk, Robert Hilsden, S Elizabeth McGregor, W Donald Buie, Anthony MacLean, Hans J Vogel, Oliver F Bathe

ABSTRACT

Background:Timely diagnosis and classification of colorectal cancer (CRC) are hindered by unsatisfactory clinical assays. Our aim was to construct a blood-based biomarker series using a single assay, suitable for CRC detection, prognostication and staging.Methods:Serum metabolomic profiles of adenoma (N=31), various stages of CRC (N=320) and healthy matched controls (N=254) were analysed by gas chromatography-mass spectrometry (GC-MS). A diagnostic model for CRC was derived by orthogonal partial least squares-discriminant analysis (OPLS-DA) on a training set, and then validated on an independent data set. Metabolomic models suitable for identifying adenoma, poor prognosis stage II CRC and discriminating various stages were generated.Results:A diagnostic signature for CRC with remarkable multivariate performance (R2Y=0.46, Q2Y=0.39) was constructed, and then validated (sensitivity 85%; specificity 86%). Area under the receiver-operating characteristic curve was 0.91 (95% CI, 0.87–0.96). Adenomas were also detectable (R2Y=0.35, Q2Y=0.26, internal AUROC=0.81, 95% CI, 0.70–0.92). Also of particular interest, we identified models that stratified stage II by prognosis, and classified cases by stage.Conclusions:Using a single assay system, a suite of CRC biomarkers based on circulating metabolites enables early detection, prognostication and preliminary staging information. External population-based studies are required to evaluate the repeatability of our findings and to assess the clinical benefits of these biomarkers. More... »

PAGES

848-857

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.2016.243

DOI

http://dx.doi.org/10.1038/bjc.2016.243

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1016876945

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27560555


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/2008/1112", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Oncology and Carcinogenesis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adenocarcinoma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adenoma", 
        "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": "Case-Control Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Colorectal Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Disease Progression", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Early Detection of Cancer", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Regulation, Neoplastic", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Least-Squares Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolomics", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "ROC Curve", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Sensitivity and Specificity", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcriptome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Oncology, University of Calgary, Calgary, AB, Canada", 
          "id": "http://www.grid.ac/institutes/grid.22072.35", 
          "name": [
            "Department of Surgery, University of Calgary, Calgary, AB, Canada", 
            "Department of Oncology, University of Calgary, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Farshidfar", 
        "givenName": "Farshad", 
        "id": "sg:person.01253745362.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253745362.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA", 
          "id": "http://www.grid.ac/institutes/grid.25879.31", 
          "name": [
            "Department of Biological Sciences, University of Calgary, Calgary, AB, Canada", 
            "Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Weljie", 
        "givenName": "Aalim M", 
        "id": "sg:person.01156467457.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156467457.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB, Canada", 
          "id": "http://www.grid.ac/institutes/grid.413574.0", 
          "name": [
            "Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada", 
            "Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kopciuk", 
        "givenName": "Karen A", 
        "id": "sg:person.01223356633.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223356633.10"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Forzani and MacPhail Colon Cancer Screening Centre, Alberta Health Services, Calgary, AB, Canada", 
          "id": "http://www.grid.ac/institutes/grid.413574.0", 
          "name": [
            "Department of Medicine, University of Calgary, Calgary, AB, Canada", 
            "Forzani and MacPhail Colon Cancer Screening Centre, Alberta Health Services, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hilsden", 
        "givenName": "Robert", 
        "id": "sg:person.01165640331.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165640331.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB, Canada", 
          "id": "http://www.grid.ac/institutes/grid.413574.0", 
          "name": [
            "Department of Oncology, University of Calgary, Calgary, AB, Canada", 
            "Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "McGregor", 
        "givenName": "S Elizabeth", 
        "id": "sg:person.01261400416.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261400416.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, University of Calgary, Calgary, AB, Canada", 
          "id": "http://www.grid.ac/institutes/grid.22072.35", 
          "name": [
            "Department of Surgery, University of Calgary, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Buie", 
        "givenName": "W Donald", 
        "id": "sg:person.01136414614.60", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136414614.60"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, University of Calgary, Calgary, AB, Canada", 
          "id": "http://www.grid.ac/institutes/grid.22072.35", 
          "name": [
            "Department of Surgery, University of Calgary, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "MacLean", 
        "givenName": "Anthony", 
        "id": "sg:person.0711260173.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711260173.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Biological Sciences, University of Calgary, Calgary, AB, Canada", 
          "id": "http://www.grid.ac/institutes/grid.22072.35", 
          "name": [
            "Department of Biological Sciences, University of Calgary, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vogel", 
        "givenName": "Hans J", 
        "id": "sg:person.01065466412.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065466412.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Oncology, University of Calgary, Calgary, AB, Canada", 
          "id": "http://www.grid.ac/institutes/grid.22072.35", 
          "name": [
            "Department of Surgery, University of Calgary, Calgary, AB, Canada", 
            "Department of Oncology, University of Calgary, Calgary, AB, Canada"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bathe", 
        "givenName": "Oliver F", 
        "id": "sg:person.01057564204.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057564204.51"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nature11252", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010619765", 
          "https://doi.org/10.1038/nature11252"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11306-011-0357-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038023758", 
          "https://doi.org/10.1007/s11306-011-0357-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.2014.170", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048665540", 
          "https://doi.org/10.1038/bjc.2014.170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00216-012-5870-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1010437597", 
          "https://doi.org/10.1007/s00216-012-5870-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/4735_2007_0229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002758249", 
          "https://doi.org/10.1007/4735_2007_0229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gm341", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022312204", 
          "https://doi.org/10.1186/gm341"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/gb-2004-5-10-r80", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018457673", 
          "https://doi.org/10.1186/gb-2004-5-10-r80"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1016/1044-0305(95)00291-k", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001694296", 
          "https://doi.org/10.1016/1044-0305(95)00291-k"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-08-25", 
    "datePublishedReg": "2016-08-25", 
    "description": "Background:Timely diagnosis and classification of colorectal cancer (CRC) are hindered by unsatisfactory clinical assays. Our aim was to construct a blood-based biomarker series using a single assay, suitable for CRC detection, prognostication and staging.Methods:Serum metabolomic profiles of adenoma (N=31), various stages of CRC (N=320) and healthy matched controls (N=254) were analysed by gas chromatography-mass spectrometry (GC-MS). A diagnostic model for CRC was derived by orthogonal partial least squares-discriminant analysis (OPLS-DA) on a training set, and then validated on an independent data set. Metabolomic models suitable for identifying adenoma, poor prognosis stage II CRC and discriminating various stages were generated.Results:A diagnostic signature for CRC with remarkable multivariate performance (R2Y=0.46, Q2Y=0.39) was constructed, and then validated (sensitivity 85%; specificity 86%). Area under the receiver-operating characteristic curve was 0.91 (95% CI, 0.87\u20130.96). Adenomas were also detectable (R2Y=0.35, Q2Y=0.26, internal AUROC=0.81, 95% CI, 0.70\u20130.92). Also of particular interest, we identified models that stratified stage II by prognosis, and classified cases by stage.Conclusions:Using a single assay system, a suite of CRC biomarkers based on circulating metabolites enables early detection, prognostication and preliminary staging information. External population-based studies are required to evaluate the repeatability of our findings and to assess the clinical benefits of these biomarkers.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/bjc.2016.243", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "7", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "115"
      }
    ], 
    "keywords": [
      "colorectal cancer", 
      "orthogonal partial least squares discriminant analysis", 
      "stage II colorectal cancer", 
      "stage of CRC", 
      "receiver-operating characteristic curve", 
      "population-based study", 
      "serum metabolomic profiles", 
      "clinical benefit", 
      "staging information", 
      "timely diagnosis", 
      "CRC biomarkers", 
      "CRC detection", 
      "clinical value", 
      "metabolomic signature", 
      "stage II", 
      "early detection", 
      "metabolomic profiles", 
      "single assay system", 
      "metabolomics model", 
      "characteristic curve", 
      "clinical assays", 
      "adenomas", 
      "cancer", 
      "prognostication", 
      "biomarkers", 
      "assay system", 
      "partial least squares discriminant analysis", 
      "least squares discriminant analysis", 
      "diagnostic signature", 
      "single assay", 
      "squares discriminant analysis", 
      "assays", 
      "gas chromatography-mass spectrometry", 
      "prognosis", 
      "staging", 
      "diagnosis", 
      "diagnostic model", 
      "chromatography-mass spectrometry", 
      "metabolites", 
      "stage", 
      "multivariate performance", 
      "aim", 
      "metabolomics", 
      "findings", 
      "independent data sets", 
      "control", 
      "cases", 
      "study", 
      "detection", 
      "benefits", 
      "particular interest", 
      "profile", 
      "classification", 
      "model", 
      "curves", 
      "signatures", 
      "analysis", 
      "series", 
      "area", 
      "information", 
      "training set", 
      "values", 
      "spectrometry", 
      "exploration", 
      "interest", 
      "repeatability", 
      "system", 
      "data sets", 
      "set", 
      "performance", 
      "suite"
    ], 
    "name": "A validated metabolomic signature for colorectal cancer: exploration of the clinical value of metabolomics", 
    "pagination": "848-857", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1016876945"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/bjc.2016.243"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27560555"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/bjc.2016.243", 
      "https://app.dimensions.ai/details/publication/pub.1016876945"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-12-01T06:34", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221201/entities/gbq_results/article/article_690.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/bjc.2016.243"
  }
]
 

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.10.1038/bjc.2016.243'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/bjc.2016.243'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bjc.2016.243'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bjc.2016.243'


 

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

332 TRIPLES      21 PREDICATES      128 URIs      112 LITERALS      31 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/bjc.2016.243 schema:about N07268bb405044367a52641577e76430c
2 N0e8fbd44a04f489c9a56622fb1c186aa
3 N1307f94843504c98b829a12b991e3a62
4 N1458a5aa7ca14b03b600dce3479d3e58
5 N18729039364746f79cdfebc2fbe7aaeb
6 N2ff50b9e99d147d2ae007d754028f139
7 N385b555384dc433eb6c5df71d3aabaa9
8 N3d59e9e1fd6c41f3937276f17bcb44b7
9 N46aa4849f66b423194afc7be1bac27a5
10 N4c51e1ece439485289bfb8a2710a052d
11 N5069d589e1c7422d928fd221a0decb35
12 N5e5190d288d04c0899257aa380896285
13 N7072c1d5bbd2463f9fa34a29073105b2
14 N825e6daf70934dc18d3d67c894005b49
15 Na01dcd663db2442f8272dc421f97c35b
16 Na1dee6ffa3d3418585b9ab429864373c
17 Na1f9b7211c0c4b79b7057f814cc4d85a
18 Nb0734a18ee0c4a9f97127e91f1f4287c
19 Nd012f4b7305943ddb26fd8bec44a93ae
20 Nd9f1632adb1149e785ec2af818c6370f
21 Ndf25349dfe234e248885dbd831183393
22 Ndf91b20dd21447009c789f3d95f5dec4
23 Nede1c268264047fa88f81e727b3e8ea5
24 Nfa0fdb2445c34740aa5d857cf70967c4
25 anzsrc-for:11
26 anzsrc-for:1112
27 schema:author N96fcd37740b24100b6d43b1cf6cee1ff
28 schema:citation sg:pub.10.1007/4735_2007_0229
29 sg:pub.10.1007/s00216-012-5870-5
30 sg:pub.10.1007/s11306-011-0357-5
31 sg:pub.10.1016/1044-0305(95)00291-k
32 sg:pub.10.1038/bjc.2014.170
33 sg:pub.10.1038/nature11252
34 sg:pub.10.1186/gb-2004-5-10-r80
35 sg:pub.10.1186/gm341
36 schema:datePublished 2016-08-25
37 schema:datePublishedReg 2016-08-25
38 schema:description Background:Timely diagnosis and classification of colorectal cancer (CRC) are hindered by unsatisfactory clinical assays. Our aim was to construct a blood-based biomarker series using a single assay, suitable for CRC detection, prognostication and staging.Methods:Serum metabolomic profiles of adenoma (N=31), various stages of CRC (N=320) and healthy matched controls (N=254) were analysed by gas chromatography-mass spectrometry (GC-MS). A diagnostic model for CRC was derived by orthogonal partial least squares-discriminant analysis (OPLS-DA) on a training set, and then validated on an independent data set. Metabolomic models suitable for identifying adenoma, poor prognosis stage II CRC and discriminating various stages were generated.Results:A diagnostic signature for CRC with remarkable multivariate performance (R2Y=0.46, Q2Y=0.39) was constructed, and then validated (sensitivity 85%; specificity 86%). Area under the receiver-operating characteristic curve was 0.91 (95% CI, 0.87–0.96). Adenomas were also detectable (R2Y=0.35, Q2Y=0.26, internal AUROC=0.81, 95% CI, 0.70–0.92). Also of particular interest, we identified models that stratified stage II by prognosis, and classified cases by stage.Conclusions:Using a single assay system, a suite of CRC biomarkers based on circulating metabolites enables early detection, prognostication and preliminary staging information. External population-based studies are required to evaluate the repeatability of our findings and to assess the clinical benefits of these biomarkers.
39 schema:genre article
40 schema:isAccessibleForFree true
41 schema:isPartOf N48004908a0524f1ab2529896fbc13f7e
42 N9a6d3caf371446378006c0d85860e118
43 sg:journal.1017082
44 schema:keywords CRC biomarkers
45 CRC detection
46 adenomas
47 aim
48 analysis
49 area
50 assay system
51 assays
52 benefits
53 biomarkers
54 cancer
55 cases
56 characteristic curve
57 chromatography-mass spectrometry
58 classification
59 clinical assays
60 clinical benefit
61 clinical value
62 colorectal cancer
63 control
64 curves
65 data sets
66 detection
67 diagnosis
68 diagnostic model
69 diagnostic signature
70 early detection
71 exploration
72 findings
73 gas chromatography-mass spectrometry
74 independent data sets
75 information
76 interest
77 least squares discriminant analysis
78 metabolites
79 metabolomic profiles
80 metabolomic signature
81 metabolomics
82 metabolomics model
83 model
84 multivariate performance
85 orthogonal partial least squares discriminant analysis
86 partial least squares discriminant analysis
87 particular interest
88 performance
89 population-based study
90 profile
91 prognosis
92 prognostication
93 receiver-operating characteristic curve
94 repeatability
95 series
96 serum metabolomic profiles
97 set
98 signatures
99 single assay
100 single assay system
101 spectrometry
102 squares discriminant analysis
103 stage
104 stage II
105 stage II colorectal cancer
106 stage of CRC
107 staging
108 staging information
109 study
110 suite
111 system
112 timely diagnosis
113 training set
114 values
115 schema:name A validated metabolomic signature for colorectal cancer: exploration of the clinical value of metabolomics
116 schema:pagination 848-857
117 schema:productId N33e7665aab574874a33aa1844ffce866
118 N47a05a6abfae498ba0b945de4d613178
119 Nd9e72353842944b99ade2c30f8227bd0
120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016876945
121 https://doi.org/10.1038/bjc.2016.243
122 schema:sdDatePublished 2022-12-01T06:34
123 schema:sdLicense https://scigraph.springernature.com/explorer/license/
124 schema:sdPublisher Nc696866d58c249d197210b908acc37dc
125 schema:url https://doi.org/10.1038/bjc.2016.243
126 sgo:license sg:explorer/license/
127 sgo:sdDataset articles
128 rdf:type schema:ScholarlyArticle
129 N07268bb405044367a52641577e76430c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Metabolome
131 rdf:type schema:DefinedTerm
132 N0e8fbd44a04f489c9a56622fb1c186aa schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Female
134 rdf:type schema:DefinedTerm
135 N1307f94843504c98b829a12b991e3a62 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Prospective Studies
137 rdf:type schema:DefinedTerm
138 N1458a5aa7ca14b03b600dce3479d3e58 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Aged
140 rdf:type schema:DefinedTerm
141 N18729039364746f79cdfebc2fbe7aaeb schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Metabolomics
143 rdf:type schema:DefinedTerm
144 N2ff50b9e99d147d2ae007d754028f139 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Adenocarcinoma
146 rdf:type schema:DefinedTerm
147 N33e7665aab574874a33aa1844ffce866 schema:name dimensions_id
148 schema:value pub.1016876945
149 rdf:type schema:PropertyValue
150 N385b555384dc433eb6c5df71d3aabaa9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Colorectal Neoplasms
152 rdf:type schema:DefinedTerm
153 N3d59e9e1fd6c41f3937276f17bcb44b7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Neoplasm Staging
155 rdf:type schema:DefinedTerm
156 N46aa4849f66b423194afc7be1bac27a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
157 schema:name Humans
158 rdf:type schema:DefinedTerm
159 N47a05a6abfae498ba0b945de4d613178 schema:name doi
160 schema:value 10.1038/bjc.2016.243
161 rdf:type schema:PropertyValue
162 N48004908a0524f1ab2529896fbc13f7e schema:issueNumber 7
163 rdf:type schema:PublicationIssue
164 N4c51e1ece439485289bfb8a2710a052d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
165 schema:name Transcriptome
166 rdf:type schema:DefinedTerm
167 N5069d589e1c7422d928fd221a0decb35 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Case-Control Studies
169 rdf:type schema:DefinedTerm
170 N5e5190d288d04c0899257aa380896285 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Sensitivity and Specificity
172 rdf:type schema:DefinedTerm
173 N60c2bb9ea0954beb8c64535b79f445c2 rdf:first sg:person.01136414614.60
174 rdf:rest N73caa87053344c67b00d103cdd746403
175 N7072c1d5bbd2463f9fa34a29073105b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Least-Squares Analysis
177 rdf:type schema:DefinedTerm
178 N73caa87053344c67b00d103cdd746403 rdf:first sg:person.0711260173.53
179 rdf:rest N9286a6cd70864826a3388ec0857125b5
180 N825e6daf70934dc18d3d67c894005b49 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
181 schema:name Male
182 rdf:type schema:DefinedTerm
183 N906310e1241c4008bafd254074aebe5a rdf:first sg:person.01261400416.08
184 rdf:rest N60c2bb9ea0954beb8c64535b79f445c2
185 N9286a6cd70864826a3388ec0857125b5 rdf:first sg:person.01065466412.66
186 rdf:rest Nb50b453ac79b42f1945901d34e1a5d86
187 N96fcd37740b24100b6d43b1cf6cee1ff rdf:first sg:person.01253745362.08
188 rdf:rest Nddb4454c5923419fabb519062e0e65d9
189 N9a6d3caf371446378006c0d85860e118 schema:volumeNumber 115
190 rdf:type schema:PublicationVolume
191 Na01dcd663db2442f8272dc421f97c35b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
192 schema:name Aged, 80 and over
193 rdf:type schema:DefinedTerm
194 Na1dee6ffa3d3418585b9ab429864373c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Disease Progression
196 rdf:type schema:DefinedTerm
197 Na1f9b7211c0c4b79b7057f814cc4d85a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
198 schema:name Gene Expression Regulation, Neoplastic
199 rdf:type schema:DefinedTerm
200 Nb0734a18ee0c4a9f97127e91f1f4287c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
201 schema:name ROC Curve
202 rdf:type schema:DefinedTerm
203 Nb16064550f2846d28f008c88fdf7ec72 rdf:first sg:person.01165640331.46
204 rdf:rest N906310e1241c4008bafd254074aebe5a
205 Nb50b453ac79b42f1945901d34e1a5d86 rdf:first sg:person.01057564204.51
206 rdf:rest rdf:nil
207 Nc696866d58c249d197210b908acc37dc schema:name Springer Nature - SN SciGraph project
208 rdf:type schema:Organization
209 Nd012f4b7305943ddb26fd8bec44a93ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
210 schema:name Prognosis
211 rdf:type schema:DefinedTerm
212 Nd9e72353842944b99ade2c30f8227bd0 schema:name pubmed_id
213 schema:value 27560555
214 rdf:type schema:PropertyValue
215 Nd9f1632adb1149e785ec2af818c6370f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
216 schema:name Biomarkers, Tumor
217 rdf:type schema:DefinedTerm
218 Nddb4454c5923419fabb519062e0e65d9 rdf:first sg:person.01156467457.26
219 rdf:rest Ne82a5d665a2a487ebaef70ff0e37471f
220 Ndf25349dfe234e248885dbd831183393 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
221 schema:name Neoplasm Proteins
222 rdf:type schema:DefinedTerm
223 Ndf91b20dd21447009c789f3d95f5dec4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
224 schema:name Early Detection of Cancer
225 rdf:type schema:DefinedTerm
226 Ne82a5d665a2a487ebaef70ff0e37471f rdf:first sg:person.01223356633.10
227 rdf:rest Nb16064550f2846d28f008c88fdf7ec72
228 Nede1c268264047fa88f81e727b3e8ea5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
229 schema:name Adenoma
230 rdf:type schema:DefinedTerm
231 Nfa0fdb2445c34740aa5d857cf70967c4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
232 schema:name Middle Aged
233 rdf:type schema:DefinedTerm
234 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
235 schema:name Medical and Health Sciences
236 rdf:type schema:DefinedTerm
237 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
238 schema:name Oncology and Carcinogenesis
239 rdf:type schema:DefinedTerm
240 sg:journal.1017082 schema:issn 0007-0920
241 1532-1827
242 schema:name British Journal of Cancer
243 schema:publisher Springer Nature
244 rdf:type schema:Periodical
245 sg:person.01057564204.51 schema:affiliation grid-institutes:grid.22072.35
246 schema:familyName Bathe
247 schema:givenName Oliver F
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01057564204.51
249 rdf:type schema:Person
250 sg:person.01065466412.66 schema:affiliation grid-institutes:grid.22072.35
251 schema:familyName Vogel
252 schema:givenName Hans J
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01065466412.66
254 rdf:type schema:Person
255 sg:person.01136414614.60 schema:affiliation grid-institutes:grid.22072.35
256 schema:familyName Buie
257 schema:givenName W Donald
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136414614.60
259 rdf:type schema:Person
260 sg:person.01156467457.26 schema:affiliation grid-institutes:grid.25879.31
261 schema:familyName Weljie
262 schema:givenName Aalim M
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01156467457.26
264 rdf:type schema:Person
265 sg:person.01165640331.46 schema:affiliation grid-institutes:grid.413574.0
266 schema:familyName Hilsden
267 schema:givenName Robert
268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01165640331.46
269 rdf:type schema:Person
270 sg:person.01223356633.10 schema:affiliation grid-institutes:grid.413574.0
271 schema:familyName Kopciuk
272 schema:givenName Karen A
273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01223356633.10
274 rdf:type schema:Person
275 sg:person.01253745362.08 schema:affiliation grid-institutes:grid.22072.35
276 schema:familyName Farshidfar
277 schema:givenName Farshad
278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01253745362.08
279 rdf:type schema:Person
280 sg:person.01261400416.08 schema:affiliation grid-institutes:grid.413574.0
281 schema:familyName McGregor
282 schema:givenName S Elizabeth
283 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01261400416.08
284 rdf:type schema:Person
285 sg:person.0711260173.53 schema:affiliation grid-institutes:grid.22072.35
286 schema:familyName MacLean
287 schema:givenName Anthony
288 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0711260173.53
289 rdf:type schema:Person
290 sg:pub.10.1007/4735_2007_0229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002758249
291 https://doi.org/10.1007/4735_2007_0229
292 rdf:type schema:CreativeWork
293 sg:pub.10.1007/s00216-012-5870-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010437597
294 https://doi.org/10.1007/s00216-012-5870-5
295 rdf:type schema:CreativeWork
296 sg:pub.10.1007/s11306-011-0357-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038023758
297 https://doi.org/10.1007/s11306-011-0357-5
298 rdf:type schema:CreativeWork
299 sg:pub.10.1016/1044-0305(95)00291-k schema:sameAs https://app.dimensions.ai/details/publication/pub.1001694296
300 https://doi.org/10.1016/1044-0305(95)00291-k
301 rdf:type schema:CreativeWork
302 sg:pub.10.1038/bjc.2014.170 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048665540
303 https://doi.org/10.1038/bjc.2014.170
304 rdf:type schema:CreativeWork
305 sg:pub.10.1038/nature11252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1010619765
306 https://doi.org/10.1038/nature11252
307 rdf:type schema:CreativeWork
308 sg:pub.10.1186/gb-2004-5-10-r80 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018457673
309 https://doi.org/10.1186/gb-2004-5-10-r80
310 rdf:type schema:CreativeWork
311 sg:pub.10.1186/gm341 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022312204
312 https://doi.org/10.1186/gm341
313 rdf:type schema:CreativeWork
314 grid-institutes:grid.22072.35 schema:alternateName Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
315 Department of Oncology, University of Calgary, Calgary, AB, Canada
316 Department of Surgery, University of Calgary, Calgary, AB, Canada
317 schema:name Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
318 Department of Oncology, University of Calgary, Calgary, AB, Canada
319 Department of Surgery, University of Calgary, Calgary, AB, Canada
320 rdf:type schema:Organization
321 grid-institutes:grid.25879.31 schema:alternateName Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
322 schema:name Department of Biological Sciences, University of Calgary, Calgary, AB, Canada
323 Institute for Translational Medicine and Therapeutics, University of Pennsylvania, Philadelphia, PA, USA
324 rdf:type schema:Organization
325 grid-institutes:grid.413574.0 schema:alternateName Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB, Canada
326 Forzani and MacPhail Colon Cancer Screening Centre, Alberta Health Services, Calgary, AB, Canada
327 schema:name Cancer Epidemiology and Prevention Research, Alberta Health Services, Calgary, AB, Canada
328 Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada
329 Department of Medicine, University of Calgary, Calgary, AB, Canada
330 Department of Oncology, University of Calgary, Calgary, AB, Canada
331 Forzani and MacPhail Colon Cancer Screening Centre, Alberta Health Services, Calgary, AB, Canada
332 rdf:type schema:Organization
 




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


...