Multiplication of Tumor Volume by Two Tumor Markers Is a Post-Resection Prognostic Predictor for Solitary Hepatocellular Carcinoma View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-06-16

AUTHORS

Shin Hwang, Gi-Won Song, Young-Joo Lee, Ki-Hun Kim, Chul-Soo Ahn, Deok-Bog Moon, Tae-Yong Ha, Dong-Hwan Jung, Gil-Chun Park, Sung-Gyu Lee

ABSTRACT

BackgroundWe hypothesized that microvascular invasion (MVI) and post-resection prognosis in patients with solitary hepatocellular carcinoma (HCC) could be predicted using blood tumor markers and tumor volume (TV). We intended to identify a simple surrogate marker of HCC via a combination of clinical variables.MethodsThis retrospective study used the strictly selected development cohort (n = 1176) and validation cohort (n = 551) containing patients who underwent curative resection of solitary HCC.ResultsIn the development cohort study, the median values were 13.7 mL for TV, 24.2 ng/mL for α-fetoprotein (AFP), and 75 mAU/mL for des-γ-carboxy prothrombin (DCP); there was no correlation among these three factors (r2 ≤ 0.237, p < 0.001). The 1-, 3-, and 5-year rates were 22.4, 41.7, and 46.8 % for tumor recurrence and 93.6, 84.0, and 78.2 % for patient survival, respectively. Independent risk factors for both tumor recurrence and patient survival were tumor diameter >5 cm or TV >50 mL, MVI, satellite nodules, and high DCP. Multiplication of AFP, DCP, and TV (ADV score) resulted in prediction of MVI at a cutoff of 5log with sensitivity of 73.9 % and specificity of 66.7 %. Patient stratifications according to ADV score with cutoffs of 5log alone, 6log and 9log, and its combination with MVI showed significant prognostic differences (all p < 0.001). These prognostic significances were reliably reproduced in the validation cohort study (all p < 0.001).ConclusionsWe suggest that ADV score is an integrated surrogate marker of HCC prognosis. We believe that it can be used to predict MVI and post-resection prognosis for solitary HCC. More... »

PAGES

1807-1820

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11605-016-3187-y

DOI

http://dx.doi.org/10.1007/s11605-016-3187-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1039871936

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27311982


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": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biomarkers, Tumor", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Carcinoma, Hepatocellular", 
        "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": "Liver Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Male", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Microvessels", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Invasiveness", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasm Staging", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Predictive Value of Tests", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Protein Precursors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prothrombin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Assessment", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Risk Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Tumor Burden", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "alpha-Fetoproteins", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hwang", 
        "givenName": "Shin", 
        "id": "sg:person.01050011763.93", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050011763.93"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Gi-Won", 
        "id": "sg:person.0636772734.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636772734.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Young-Joo", 
        "id": "sg:person.01113660016.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113660016.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Ki-Hun", 
        "id": "sg:person.01067735525.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067735525.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahn", 
        "givenName": "Chul-Soo", 
        "id": "sg:person.01141113144.30", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141113144.30"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Moon", 
        "givenName": "Deok-Bog", 
        "id": "sg:person.0752624137.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752624137.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ha", 
        "givenName": "Tae-Yong", 
        "id": "sg:person.0710436144.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710436144.59"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jung", 
        "givenName": "Dong-Hwan", 
        "id": "sg:person.01314113466.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314113466.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Park", 
        "givenName": "Gil-Chun", 
        "id": "sg:person.01317327127.32", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317327127.32"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea", 
          "id": "http://www.grid.ac/institutes/grid.413967.e", 
          "name": [
            "Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Sung-Gyu", 
        "id": "sg:person.01141712025.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141712025.28"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s00432-014-1713-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011968999", 
          "https://doi.org/10.1007/s00432-014-1713-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11605-015-2849-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044451671", 
          "https://doi.org/10.1007/s11605-015-2849-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bjc.2015.423", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015210708", 
          "https://doi.org/10.1038/bjc.2015.423"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00268-013-2365-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022176319", 
          "https://doi.org/10.1007/s00268-013-2365-2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s11605-015-2846-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034812579", 
          "https://doi.org/10.1007/s11605-015-2846-8"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00261-014-0256-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048191620", 
          "https://doi.org/10.1007/s00261-014-0256-0"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-06-16", 
    "datePublishedReg": "2016-06-16", 
    "description": "BackgroundWe hypothesized that microvascular invasion (MVI) and post-resection prognosis in patients with solitary hepatocellular carcinoma (HCC) could be predicted using blood tumor markers and tumor volume (TV). We intended to identify a simple surrogate marker of HCC via a combination of clinical variables.MethodsThis retrospective study used the strictly selected development cohort (n\u2009=\u20091176) and validation cohort (n\u2009=\u2009551) containing patients who underwent curative resection of solitary HCC.ResultsIn the development cohort study, the median values were 13.7\u00a0mL for TV, 24.2\u00a0ng/mL for \u03b1-fetoprotein (AFP), and 75\u00a0mAU/mL for des-\u03b3-carboxy prothrombin (DCP); there was no correlation among these three factors (r2\u2009\u2264\u20090.237, p\u2009<\u20090.001). The 1-, 3-, and 5-year rates were 22.4, 41.7, and 46.8\u00a0% for tumor recurrence and 93.6, 84.0, and 78.2\u00a0% for patient survival, respectively. Independent risk factors for both tumor recurrence and patient survival were tumor diameter >5\u00a0cm or TV >50\u00a0mL, MVI, satellite nodules, and high DCP. Multiplication of AFP, DCP, and TV (ADV score) resulted in prediction of MVI at a cutoff of 5log with sensitivity of 73.9\u00a0% and specificity of 66.7\u00a0%. Patient stratifications according to ADV score with cutoffs of 5log alone, 6log and 9log, and its combination with MVI showed significant prognostic differences (all p\u2009<\u20090.001). These prognostic significances were reliably reproduced in the validation cohort study (all p\u2009<\u20090.001).ConclusionsWe suggest that ADV score is an integrated surrogate marker of HCC prognosis. We believe that it can be used to predict MVI and post-resection prognosis for solitary HCC.", 
    "genre": "article", 
    "id": "sg:pub.10.1007/s11605-016-3187-y", 
    "inLanguage": "en", 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1116755", 
        "issn": [
          "1091-255X", 
          "1873-4626"
        ], 
        "name": "Journal of Gastrointestinal Surgery", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "11", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "20"
      }
    ], 
    "keywords": [
      "solitary hepatocellular carcinoma", 
      "post-resection prognosis", 
      "microvascular invasion", 
      "tumor volume", 
      "hepatocellular carcinoma", 
      "cohort study", 
      "tumor recurrence", 
      "patient survival", 
      "surrogate marker", 
      "tumor markers", 
      "blood tumor markers", 
      "independent risk factor", 
      "MethodsThis retrospective study", 
      "validation cohort study", 
      "significant prognostic difference", 
      "Development (MAL-ED) cohort study", 
      "simple surrogate marker", 
      "prediction of MVI", 
      "ADVS scores", 
      "curative resection", 
      "tumor diameter", 
      "retrospective study", 
      "validation cohort", 
      "prognostic differences", 
      "prognostic predictor", 
      "clinical variables", 
      "development cohort", 
      "satellite nodules", 
      "prognostic significance", 
      "risk factors", 
      "HCC prognosis", 
      "carboxy prothrombin", 
      "patient stratification", 
      "prognosis", 
      "patients", 
      "recurrence", 
      "carcinoma", 
      "high DCP", 
      "cohort", 
      "median value", 
      "markers", 
      "survival", 
      "resection", 
      "mL", 
      "BackgroundWe", 
      "study", 
      "cutoff", 
      "ResultsIn", 
      "fetoprotein", 
      "AFP", 
      "ConclusionsWe", 
      "factors", 
      "scores", 
      "predictors", 
      "prothrombin", 
      "invasion", 
      "nodules", 
      "volume", 
      "ADV", 
      "specificity", 
      "stratification", 
      "combination", 
      "significance", 
      "differences", 
      "sensitivity", 
      "rate", 
      "correlation", 
      "DCP", 
      "variables", 
      "diameter", 
      "values", 
      "de", 
      "multiplication", 
      "Mau", 
      "prediction", 
      "Multiplication of AFP", 
      "cutoff of 5log", 
      "Post-Resection Prognostic Predictor"
    ], 
    "name": "Multiplication of Tumor Volume by Two Tumor Markers Is a Post-Resection Prognostic Predictor for Solitary Hepatocellular Carcinoma", 
    "pagination": "1807-1820", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1039871936"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11605-016-3187-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "27311982"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11605-016-3187-y", 
      "https://app.dimensions.ai/details/publication/pub.1039871936"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2021-11-01T18:28", 
    "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_704.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1007/s11605-016-3187-y"
  }
]
 

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/s11605-016-3187-y'

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/s11605-016-3187-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11605-016-3187-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11605-016-3187-y'


 

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

315 TRIPLES      22 PREDICATES      132 URIs      118 LITERALS      29 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11605-016-3187-y schema:about N06a69f1bd5e04509b4e3ced082db0da3
2 N08528e0bafeb4b3cb69ace870305b2b2
3 N1461388cf9d3457688471a5b276d3c43
4 N16a390db870b4861aa2d932d36be6203
5 N1a1782fe053a4301bf14793e2732d6d6
6 N1f4542517a604ad3b743d24ea3710c23
7 N21bdcf63a484464480a5e87d305845c0
8 N52ace9076c024616a0da752f4d2d40c0
9 N54ce6b43687a428bb184dbf6bfae1df7
10 N5ee69aff2718431b8ed7d706d2a600c5
11 N6438e845ad49427d869380a695ed209a
12 N6589ed54ee674cea8b00292ba9afa945
13 N85717a43e9474f8298692f7160a1b66c
14 N9159b773084a4760aefa8b29f60d0f5f
15 N98577694b7324e60af642bf0f4a93e0e
16 Na21861cf49864d57aa7d76dbcb3af4dc
17 Nc8b823644b3645c9af09759ae5641188
18 Nd6ece66e973844fdbdbd8156c03a0bbe
19 Nda2e575951014790b0dc53ab09d7857c
20 Ne24274fd32bf4304ad7bd5d24c01d961
21 Ne51cd8e7f25949eabaecb2e909a30935
22 Nff4ec280dffc4c35936b727295ac0739
23 anzsrc-for:11
24 anzsrc-for:1112
25 schema:author N58cdd5051c5e447196263c2bd42ce412
26 schema:citation sg:pub.10.1007/s00261-014-0256-0
27 sg:pub.10.1007/s00268-013-2365-2
28 sg:pub.10.1007/s00432-014-1713-4
29 sg:pub.10.1007/s11605-015-2846-8
30 sg:pub.10.1007/s11605-015-2849-5
31 sg:pub.10.1038/bjc.2015.423
32 schema:datePublished 2016-06-16
33 schema:datePublishedReg 2016-06-16
34 schema:description BackgroundWe hypothesized that microvascular invasion (MVI) and post-resection prognosis in patients with solitary hepatocellular carcinoma (HCC) could be predicted using blood tumor markers and tumor volume (TV). We intended to identify a simple surrogate marker of HCC via a combination of clinical variables.MethodsThis retrospective study used the strictly selected development cohort (n = 1176) and validation cohort (n = 551) containing patients who underwent curative resection of solitary HCC.ResultsIn the development cohort study, the median values were 13.7 mL for TV, 24.2 ng/mL for α-fetoprotein (AFP), and 75 mAU/mL for des-γ-carboxy prothrombin (DCP); there was no correlation among these three factors (r2 ≤ 0.237, p < 0.001). The 1-, 3-, and 5-year rates were 22.4, 41.7, and 46.8 % for tumor recurrence and 93.6, 84.0, and 78.2 % for patient survival, respectively. Independent risk factors for both tumor recurrence and patient survival were tumor diameter >5 cm or TV >50 mL, MVI, satellite nodules, and high DCP. Multiplication of AFP, DCP, and TV (ADV score) resulted in prediction of MVI at a cutoff of 5log with sensitivity of 73.9 % and specificity of 66.7 %. Patient stratifications according to ADV score with cutoffs of 5log alone, 6log and 9log, and its combination with MVI showed significant prognostic differences (all p < 0.001). These prognostic significances were reliably reproduced in the validation cohort study (all p < 0.001).ConclusionsWe suggest that ADV score is an integrated surrogate marker of HCC prognosis. We believe that it can be used to predict MVI and post-resection prognosis for solitary HCC.
35 schema:genre article
36 schema:inLanguage en
37 schema:isAccessibleForFree false
38 schema:isPartOf N46781a912e2547018bb8e1aa22fa418a
39 Nd96bc312c9be486caaa57b3f46ada7b2
40 sg:journal.1116755
41 schema:keywords ADV
42 ADVS scores
43 AFP
44 BackgroundWe
45 ConclusionsWe
46 DCP
47 Development (MAL-ED) cohort study
48 HCC prognosis
49 Mau
50 MethodsThis retrospective study
51 Multiplication of AFP
52 Post-Resection Prognostic Predictor
53 ResultsIn
54 blood tumor markers
55 carboxy prothrombin
56 carcinoma
57 clinical variables
58 cohort
59 cohort study
60 combination
61 correlation
62 curative resection
63 cutoff
64 cutoff of 5log
65 de
66 development cohort
67 diameter
68 differences
69 factors
70 fetoprotein
71 hepatocellular carcinoma
72 high DCP
73 independent risk factor
74 invasion
75 mL
76 markers
77 median value
78 microvascular invasion
79 multiplication
80 nodules
81 patient stratification
82 patient survival
83 patients
84 post-resection prognosis
85 prediction
86 prediction of MVI
87 predictors
88 prognosis
89 prognostic differences
90 prognostic predictor
91 prognostic significance
92 prothrombin
93 rate
94 recurrence
95 resection
96 retrospective study
97 risk factors
98 satellite nodules
99 scores
100 sensitivity
101 significance
102 significant prognostic difference
103 simple surrogate marker
104 solitary hepatocellular carcinoma
105 specificity
106 stratification
107 study
108 surrogate marker
109 survival
110 tumor diameter
111 tumor markers
112 tumor recurrence
113 tumor volume
114 validation cohort
115 validation cohort study
116 values
117 variables
118 volume
119 schema:name Multiplication of Tumor Volume by Two Tumor Markers Is a Post-Resection Prognostic Predictor for Solitary Hepatocellular Carcinoma
120 schema:pagination 1807-1820
121 schema:productId N356b1ee2377148bab4fe7558218a030f
122 N68f247707b1a4211bf11bf3809bc1366
123 N9e31f8f2b6934148ab387385bc4d83f6
124 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039871936
125 https://doi.org/10.1007/s11605-016-3187-y
126 schema:sdDatePublished 2021-11-01T18:28
127 schema:sdLicense https://scigraph.springernature.com/explorer/license/
128 schema:sdPublisher N49a77d98a77a4ad1b452566b5ea2399e
129 schema:url https://doi.org/10.1007/s11605-016-3187-y
130 sgo:license sg:explorer/license/
131 sgo:sdDataset articles
132 rdf:type schema:ScholarlyArticle
133 N06a69f1bd5e04509b4e3ced082db0da3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Biomarkers, Tumor
135 rdf:type schema:DefinedTerm
136 N06af14d446f045b2a7f924dffc4f2549 rdf:first sg:person.01067735525.40
137 rdf:rest N9e8630c6a07242c8b59ac75ba280bf05
138 N08528e0bafeb4b3cb69ace870305b2b2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Protein Precursors
140 rdf:type schema:DefinedTerm
141 N1461388cf9d3457688471a5b276d3c43 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
142 schema:name Tumor Burden
143 rdf:type schema:DefinedTerm
144 N16a390db870b4861aa2d932d36be6203 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
145 schema:name Carcinoma, Hepatocellular
146 rdf:type schema:DefinedTerm
147 N1a1782fe053a4301bf14793e2732d6d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
148 schema:name Biomarkers
149 rdf:type schema:DefinedTerm
150 N1f4542517a604ad3b743d24ea3710c23 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
151 schema:name Prothrombin
152 rdf:type schema:DefinedTerm
153 N21bdcf63a484464480a5e87d305845c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
154 schema:name Risk Factors
155 rdf:type schema:DefinedTerm
156 N356b1ee2377148bab4fe7558218a030f schema:name pubmed_id
157 schema:value 27311982
158 rdf:type schema:PropertyValue
159 N3bbba449f8b14989a60c6dfa3d1bba82 rdf:first sg:person.01317327127.32
160 rdf:rest N67a21ce6aaad482caca12c5590edf5c2
161 N46781a912e2547018bb8e1aa22fa418a schema:volumeNumber 20
162 rdf:type schema:PublicationVolume
163 N495d0e4161a34ac28cd03b7f58a56220 rdf:first sg:person.0636772734.43
164 rdf:rest N923ccfabf877493496d76b39cd0854e4
165 N49a77d98a77a4ad1b452566b5ea2399e schema:name Springer Nature - SN SciGraph project
166 rdf:type schema:Organization
167 N52ace9076c024616a0da752f4d2d40c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
168 schema:name Middle Aged
169 rdf:type schema:DefinedTerm
170 N54ce6b43687a428bb184dbf6bfae1df7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
171 schema:name Male
172 rdf:type schema:DefinedTerm
173 N58cdd5051c5e447196263c2bd42ce412 rdf:first sg:person.01050011763.93
174 rdf:rest N495d0e4161a34ac28cd03b7f58a56220
175 N5ee69aff2718431b8ed7d706d2a600c5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
176 schema:name Prognosis
177 rdf:type schema:DefinedTerm
178 N6438e845ad49427d869380a695ed209a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
179 schema:name alpha-Fetoproteins
180 rdf:type schema:DefinedTerm
181 N6589ed54ee674cea8b00292ba9afa945 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
182 schema:name Aged
183 rdf:type schema:DefinedTerm
184 N67a21ce6aaad482caca12c5590edf5c2 rdf:first sg:person.01141712025.28
185 rdf:rest rdf:nil
186 N68f247707b1a4211bf11bf3809bc1366 schema:name doi
187 schema:value 10.1007/s11605-016-3187-y
188 rdf:type schema:PropertyValue
189 N85717a43e9474f8298692f7160a1b66c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
190 schema:name Neoplasm Staging
191 rdf:type schema:DefinedTerm
192 N882a087d2c584f3b9a06e219218974a2 rdf:first sg:person.0710436144.59
193 rdf:rest Nc32fe599e1014b8a9c57f8c76178acb8
194 N9159b773084a4760aefa8b29f60d0f5f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
195 schema:name Microvessels
196 rdf:type schema:DefinedTerm
197 N923ccfabf877493496d76b39cd0854e4 rdf:first sg:person.01113660016.86
198 rdf:rest N06af14d446f045b2a7f924dffc4f2549
199 N98577694b7324e60af642bf0f4a93e0e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
200 schema:name Adult
201 rdf:type schema:DefinedTerm
202 N9e31f8f2b6934148ab387385bc4d83f6 schema:name dimensions_id
203 schema:value pub.1039871936
204 rdf:type schema:PropertyValue
205 N9e8630c6a07242c8b59ac75ba280bf05 rdf:first sg:person.01141113144.30
206 rdf:rest Nfdb461e8332643b48f7e724012307d59
207 Na21861cf49864d57aa7d76dbcb3af4dc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
208 schema:name Female
209 rdf:type schema:DefinedTerm
210 Nc32fe599e1014b8a9c57f8c76178acb8 rdf:first sg:person.01314113466.08
211 rdf:rest N3bbba449f8b14989a60c6dfa3d1bba82
212 Nc8b823644b3645c9af09759ae5641188 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
213 schema:name Humans
214 rdf:type schema:DefinedTerm
215 Nd6ece66e973844fdbdbd8156c03a0bbe schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
216 schema:name Retrospective Studies
217 rdf:type schema:DefinedTerm
218 Nd96bc312c9be486caaa57b3f46ada7b2 schema:issueNumber 11
219 rdf:type schema:PublicationIssue
220 Nda2e575951014790b0dc53ab09d7857c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
221 schema:name Neoplasm Invasiveness
222 rdf:type schema:DefinedTerm
223 Ne24274fd32bf4304ad7bd5d24c01d961 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
224 schema:name Risk Assessment
225 rdf:type schema:DefinedTerm
226 Ne51cd8e7f25949eabaecb2e909a30935 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
227 schema:name Liver Neoplasms
228 rdf:type schema:DefinedTerm
229 Nfdb461e8332643b48f7e724012307d59 rdf:first sg:person.0752624137.23
230 rdf:rest N882a087d2c584f3b9a06e219218974a2
231 Nff4ec280dffc4c35936b727295ac0739 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
232 schema:name Predictive Value of Tests
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.1116755 schema:issn 1091-255X
241 1873-4626
242 schema:name Journal of Gastrointestinal Surgery
243 schema:publisher Springer Nature
244 rdf:type schema:Periodical
245 sg:person.01050011763.93 schema:affiliation grid-institutes:grid.413967.e
246 schema:familyName Hwang
247 schema:givenName Shin
248 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01050011763.93
249 rdf:type schema:Person
250 sg:person.01067735525.40 schema:affiliation grid-institutes:grid.413967.e
251 schema:familyName Kim
252 schema:givenName Ki-Hun
253 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01067735525.40
254 rdf:type schema:Person
255 sg:person.01113660016.86 schema:affiliation grid-institutes:grid.413967.e
256 schema:familyName Lee
257 schema:givenName Young-Joo
258 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01113660016.86
259 rdf:type schema:Person
260 sg:person.01141113144.30 schema:affiliation grid-institutes:grid.413967.e
261 schema:familyName Ahn
262 schema:givenName Chul-Soo
263 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141113144.30
264 rdf:type schema:Person
265 sg:person.01141712025.28 schema:affiliation grid-institutes:grid.413967.e
266 schema:familyName Lee
267 schema:givenName Sung-Gyu
268 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01141712025.28
269 rdf:type schema:Person
270 sg:person.01314113466.08 schema:affiliation grid-institutes:grid.413967.e
271 schema:familyName Jung
272 schema:givenName Dong-Hwan
273 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01314113466.08
274 rdf:type schema:Person
275 sg:person.01317327127.32 schema:affiliation grid-institutes:grid.413967.e
276 schema:familyName Park
277 schema:givenName Gil-Chun
278 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01317327127.32
279 rdf:type schema:Person
280 sg:person.0636772734.43 schema:affiliation grid-institutes:grid.413967.e
281 schema:familyName Song
282 schema:givenName Gi-Won
283 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0636772734.43
284 rdf:type schema:Person
285 sg:person.0710436144.59 schema:affiliation grid-institutes:grid.413967.e
286 schema:familyName Ha
287 schema:givenName Tae-Yong
288 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710436144.59
289 rdf:type schema:Person
290 sg:person.0752624137.23 schema:affiliation grid-institutes:grid.413967.e
291 schema:familyName Moon
292 schema:givenName Deok-Bog
293 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0752624137.23
294 rdf:type schema:Person
295 sg:pub.10.1007/s00261-014-0256-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048191620
296 https://doi.org/10.1007/s00261-014-0256-0
297 rdf:type schema:CreativeWork
298 sg:pub.10.1007/s00268-013-2365-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022176319
299 https://doi.org/10.1007/s00268-013-2365-2
300 rdf:type schema:CreativeWork
301 sg:pub.10.1007/s00432-014-1713-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011968999
302 https://doi.org/10.1007/s00432-014-1713-4
303 rdf:type schema:CreativeWork
304 sg:pub.10.1007/s11605-015-2846-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034812579
305 https://doi.org/10.1007/s11605-015-2846-8
306 rdf:type schema:CreativeWork
307 sg:pub.10.1007/s11605-015-2849-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044451671
308 https://doi.org/10.1007/s11605-015-2849-5
309 rdf:type schema:CreativeWork
310 sg:pub.10.1038/bjc.2015.423 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015210708
311 https://doi.org/10.1038/bjc.2015.423
312 rdf:type schema:CreativeWork
313 grid-institutes:grid.413967.e schema:alternateName Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea
314 schema:name Department of Surgery, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro 43-gil, Songpa-gu, 138-736, Seoul, Korea
315 rdf:type schema:Organization
 




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


...