Long-term outcome among men with conservatively treated localised prostate cancer View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2006-11

AUTHORS

J Cuzick, G Fisher, M W Kattan, D Berney, T Oliver, C S Foster, H Møller, V Reuter, P Fearn, J Eastham, P Scardino

ABSTRACT

Optimal management of clinically localised prostate cancer presents unique challenges, because of its highly variable and often indolent natural history. There is an urgent need to predict more accurately its natural history, in order to avoid unnecessary treatment. Medical records of men diagnosed with clinically localised prostate cancer, in the UK, between 1990 and 1996 were reviewed to identify those who were conservatively treated, under age 76 years at the time of pathological diagnosis and had a baseline prostate-specific antigen (PSA) measurement. Diagnostic biopsy specimens were centrally reviewed to assign primary and secondary Gleason grades. The primary end point was death from prostate cancer and multivariate models were constructed to determine its best predictors. A total of 2333 eligible patients were identified. The most important prognostic factors were Gleason score and baseline PSA level. These factors were largely independent and together, contributed substantially more predictive power than either one alone. Clinical stage and extent of disease determined, either from needle biopsy or transurethral resection of the prostate (TURP) chips, provided some additional prognostic information. In conclusion, a model using Gleason score and PSA level identified three subgroups comprising 17, 50, and 33% of the cohort with a 10-year prostate cancer specific mortality of <10, 10-30, and >30%, respectively. This classification is a substantial improvement on previous ones using only Gleason score, but better markers are needed to predict survival more accurately in the intermediate group of patients. More... »

PAGES

1186

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/sj.bjc.6603411

DOI

http://dx.doi.org/10.1038/sj.bjc.6603411

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037314194

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/17077805


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": "Biopsy, Needle", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Follow-Up Studies", 
        "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": "Multivariate Analysis", 
        "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": "Prostate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostate-Specific Antigen", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prostatic Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Severity of Illness Index", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Analysis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Time Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "United Kingdom", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University College London", 
          "id": "https://www.grid.ac/institutes/grid.83440.3b", 
          "name": [
            "Cancer Research UK Centre for Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, St Bartholomew's Medical School, Queen Mary, University of London, Charterhouse Square, London EC1M 6BQ, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cuzick", 
        "givenName": "J", 
        "id": "sg:person.01136740201.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136740201.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University College London", 
          "id": "https://www.grid.ac/institutes/grid.83440.3b", 
          "name": [
            "Cancer Research UK Centre for Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, St Bartholomew's Medical School, Queen Mary, University of London, Charterhouse Square, London EC1M 6BQ, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fisher", 
        "givenName": "G", 
        "id": "sg:person.01237452771.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237452771.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Cleveland Clinic", 
          "id": "https://www.grid.ac/institutes/grid.239578.2", 
          "name": [
            "Department of Quantitative Health Sciences, The Cleveland Clinic Foundation, Cleveland, OH 44195, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kattan", 
        "givenName": "M W", 
        "id": "sg:person.013420772717.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013420772717.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "St Bartholomew's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416353.6", 
          "name": [
            "Department of Histopathology, St Bartholomew's Hospital, London E1 2ES, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Berney", 
        "givenName": "D", 
        "id": "sg:person.01306051172.56", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306051172.56"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "St Bartholomew's Hospital", 
          "id": "https://www.grid.ac/institutes/grid.416353.6", 
          "name": [
            "Department of Medical Oncology, St Bartholomew's Hospital, London EC1A 7BE, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oliver", 
        "givenName": "T", 
        "id": "sg:person.01136264541.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136264541.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Department of Cellular Pathology and Molecular Genetics, Liverpool University Hospital, Liverpool L1 3GA, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Foster", 
        "givenName": "C S", 
        "id": "sg:person.0777716355.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777716355.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "King's College London", 
          "id": "https://www.grid.ac/institutes/grid.13097.3c", 
          "name": [
            "King's College, Thames Cancer Registry, London SE1 3QD, UK"
          ], 
          "type": "Organization"
        }, 
        "familyName": "M\u00f8ller", 
        "givenName": "H", 
        "id": "sg:person.010237502177.82", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010237502177.82"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Reuter", 
        "givenName": "V", 
        "id": "sg:person.014005711417.01", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014005711417.01"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Urology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fearn", 
        "givenName": "P", 
        "id": "sg:person.01044015775.99", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044015775.99"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Urology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Eastham", 
        "givenName": "J", 
        "id": "sg:person.0712305046.96", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712305046.96"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Memorial Sloan Kettering Cancer Center", 
          "id": "https://www.grid.ac/institutes/grid.51462.34", 
          "name": [
            "Department of Urology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Scardino", 
        "givenName": "P", 
        "id": "sg:person.07616303717.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07616303717.09"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1097/01.ju.0000085675.96097.76", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002139789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/01.ju.0000085675.96097.76", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002139789"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa043739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011422121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa043739", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011422121"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.1995.03530080042039", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013793305"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/90.10.766", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016489321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.280.11.975", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017247136"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.291.22.2713", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019249000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0021-9681(87)90171-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020988115"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/jnci/dji248", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026394263"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0302-2838(03)00085-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030014927"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ijc.2910200506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031053936"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejm199401273300403", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034494234"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/(sici)1097-0142(19980915)83:6<1180::aid-cncr18>3.0.co;2-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038241286"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.293.17.2095", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041950077"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0090-4295(97)00320-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043112089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmoa012794", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047688081"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1001/jama.274.8.626", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1054159300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082514950", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2006-11", 
    "datePublishedReg": "2006-11-01", 
    "description": "Optimal management of clinically localised prostate cancer presents unique challenges, because of its highly variable and often indolent natural history. There is an urgent need to predict more accurately its natural history, in order to avoid unnecessary treatment. Medical records of men diagnosed with clinically localised prostate cancer, in the UK, between 1990 and 1996 were reviewed to identify those who were conservatively treated, under age 76 years at the time of pathological diagnosis and had a baseline prostate-specific antigen (PSA) measurement. Diagnostic biopsy specimens were centrally reviewed to assign primary and secondary Gleason grades. The primary end point was death from prostate cancer and multivariate models were constructed to determine its best predictors. A total of 2333 eligible patients were identified. The most important prognostic factors were Gleason score and baseline PSA level. These factors were largely independent and together, contributed substantially more predictive power than either one alone. Clinical stage and extent of disease determined, either from needle biopsy or transurethral resection of the prostate (TURP) chips, provided some additional prognostic information. In conclusion, a model using Gleason score and PSA level identified three subgroups comprising 17, 50, and 33% of the cohort with a 10-year prostate cancer specific mortality of <10, 10-30, and >30%, respectively. This classification is a substantial improvement on previous ones using only Gleason score, but better markers are needed to predict survival more accurately in the intermediate group of patients.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/sj.bjc.6603411", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.2754916", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "9", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "95"
      }
    ], 
    "name": "Long-term outcome among men with conservatively treated localised prostate cancer", 
    "pagination": "1186", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b1c0854085b4ec0814ea50aa79a0a9d71fa62fed11d88c1cdf7c9c93ec0b0912"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "17077805"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370635"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/sj.bjc.6603411"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1037314194"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/sj.bjc.6603411", 
      "https://app.dimensions.ai/details/publication/pub.1037314194"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T12:13", 
    "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/v90/0000000361_0000000361/records_53998_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/6603411"
  }
]
 

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/sj.bjc.6603411'

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/sj.bjc.6603411'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6603411'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/sj.bjc.6603411'


 

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

283 TRIPLES      21 PREDICATES      65 URIs      40 LITERALS      28 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/sj.bjc.6603411 schema:about N0f704364d748469cb8b50f0b19936aed
2 N24c9fb0085cd4f1593d52b412f6957d2
3 N2f5b3183346c4050910d830c21fbe154
4 N37aa4a98ef774f0eab7f2c703fd35656
5 N40e7296dbc664969916f95102befd75f
6 N44adbb796cc84387a4e856d00c8e5109
7 N75612b9e0efd4e5ca45bc2862acd3660
8 N76cf2efc6b0f4088bc1420b8f849bcc4
9 N8bfe71f165094affb6d0a91318e043da
10 N987bf5c35e5645fd8cbcbe71ff21d83b
11 Na004eb65758041b9b0580522141f915c
12 Na0af7033ac664c8caaddd76d5eadd3f7
13 Na5483f1af4104db6ba88103e80bc0028
14 Nb1d16fc6861a447c81f62a3d3a2ce02f
15 Nb62197a850b84590b6657ef854dd86ae
16 Nbcde60c3e3924111b8c54656669eb59c
17 Ndef387b07cfd48118f4d2ef186a88039
18 Nf4687a58dc3e43719391aa372b405922
19 Nf8ceec3abae344cbbeb1015a78794a1e
20 anzsrc-for:11
21 anzsrc-for:1112
22 schema:author N570c4799d4a249889c8e888865a9a80c
23 schema:citation https://app.dimensions.ai/details/publication/pub.1082514950
24 https://doi.org/10.1001/jama.1995.03530080042039
25 https://doi.org/10.1001/jama.274.8.626
26 https://doi.org/10.1001/jama.280.11.975
27 https://doi.org/10.1001/jama.291.22.2713
28 https://doi.org/10.1001/jama.293.17.2095
29 https://doi.org/10.1002/(sici)1097-0142(19980915)83:6<1180::aid-cncr18>3.0.co;2-1
30 https://doi.org/10.1002/ijc.2910200506
31 https://doi.org/10.1016/0021-9681(87)90171-8
32 https://doi.org/10.1016/s0090-4295(97)00320-8
33 https://doi.org/10.1016/s0302-2838(03)00085-x
34 https://doi.org/10.1056/nejm199401273300403
35 https://doi.org/10.1056/nejmoa012794
36 https://doi.org/10.1056/nejmoa043739
37 https://doi.org/10.1093/jnci/90.10.766
38 https://doi.org/10.1093/jnci/dji248
39 https://doi.org/10.1097/01.ju.0000085675.96097.76
40 schema:datePublished 2006-11
41 schema:datePublishedReg 2006-11-01
42 schema:description Optimal management of clinically localised prostate cancer presents unique challenges, because of its highly variable and often indolent natural history. There is an urgent need to predict more accurately its natural history, in order to avoid unnecessary treatment. Medical records of men diagnosed with clinically localised prostate cancer, in the UK, between 1990 and 1996 were reviewed to identify those who were conservatively treated, under age 76 years at the time of pathological diagnosis and had a baseline prostate-specific antigen (PSA) measurement. Diagnostic biopsy specimens were centrally reviewed to assign primary and secondary Gleason grades. The primary end point was death from prostate cancer and multivariate models were constructed to determine its best predictors. A total of 2333 eligible patients were identified. The most important prognostic factors were Gleason score and baseline PSA level. These factors were largely independent and together, contributed substantially more predictive power than either one alone. Clinical stage and extent of disease determined, either from needle biopsy or transurethral resection of the prostate (TURP) chips, provided some additional prognostic information. In conclusion, a model using Gleason score and PSA level identified three subgroups comprising 17, 50, and 33% of the cohort with a 10-year prostate cancer specific mortality of <10, 10-30, and >30%, respectively. This classification is a substantial improvement on previous ones using only Gleason score, but better markers are needed to predict survival more accurately in the intermediate group of patients.
43 schema:genre research_article
44 schema:inLanguage en
45 schema:isAccessibleForFree true
46 schema:isPartOf N8d857b729a2e483e86eb2e075e785700
47 Na9f43f8a951f482b8e8dad857fe6e5a1
48 sg:journal.1017082
49 schema:name Long-term outcome among men with conservatively treated localised prostate cancer
50 schema:pagination 1186
51 schema:productId N2d0e63a30a884fa78b5a6d97527c76ff
52 N6c7d7c311b3d461ba6bef41dee611067
53 N8b3a9e8533494211b333cc38c0a8371f
54 Nb94b0408d9f3430ab3113b9cc7cf460c
55 Nfe0690a58a0343e5a2e878827efdcda1
56 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037314194
57 https://doi.org/10.1038/sj.bjc.6603411
58 schema:sdDatePublished 2019-04-11T12:13
59 schema:sdLicense https://scigraph.springernature.com/explorer/license/
60 schema:sdPublisher Ne0e445ab57694071ac1d9fb004b9f477
61 schema:url https://www.nature.com/articles/6603411
62 sgo:license sg:explorer/license/
63 sgo:sdDataset articles
64 rdf:type schema:ScholarlyArticle
65 N04eb2649f24943d68da1155ec2ada343 rdf:first sg:person.01136264541.86
66 rdf:rest N0e4f312323b445f5ac123cb1f88e5b8d
67 N0e4f312323b445f5ac123cb1f88e5b8d rdf:first sg:person.0777716355.29
68 rdf:rest Nf06ad9899d254df28a34316ee7053513
69 N0f704364d748469cb8b50f0b19936aed schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
70 schema:name Survival Analysis
71 rdf:type schema:DefinedTerm
72 N24c9fb0085cd4f1593d52b412f6957d2 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
73 schema:name Prostate-Specific Antigen
74 rdf:type schema:DefinedTerm
75 N2d0e63a30a884fa78b5a6d97527c76ff schema:name nlm_unique_id
76 schema:value 0370635
77 rdf:type schema:PropertyValue
78 N2f5b3183346c4050910d830c21fbe154 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Predictive Value of Tests
80 rdf:type schema:DefinedTerm
81 N33772b4e7fc7416b9db3f8f197360b2c rdf:first sg:person.013420772717.11
82 rdf:rest N66cdfc7808d2484e8976324fee962fc1
83 N37a2252b2b5d47319cad70ccff3612c2 rdf:first sg:person.014005711417.01
84 rdf:rest N641ed59fe7a14abf8ee9d39451f4a42c
85 N37aa4a98ef774f0eab7f2c703fd35656 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
86 schema:name Biopsy, Needle
87 rdf:type schema:DefinedTerm
88 N40e7296dbc664969916f95102befd75f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
89 schema:name United Kingdom
90 rdf:type schema:DefinedTerm
91 N439c575e3a214afda538a7257a5f10a1 rdf:first sg:person.01237452771.56
92 rdf:rest N33772b4e7fc7416b9db3f8f197360b2c
93 N44adbb796cc84387a4e856d00c8e5109 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Time Factors
95 rdf:type schema:DefinedTerm
96 N570c4799d4a249889c8e888865a9a80c rdf:first sg:person.01136740201.43
97 rdf:rest N439c575e3a214afda538a7257a5f10a1
98 N641ed59fe7a14abf8ee9d39451f4a42c rdf:first sg:person.01044015775.99
99 rdf:rest N783659c0d21a45559c4d2cb43ab3c880
100 N66cdfc7808d2484e8976324fee962fc1 rdf:first sg:person.01306051172.56
101 rdf:rest N04eb2649f24943d68da1155ec2ada343
102 N6c7d7c311b3d461ba6bef41dee611067 schema:name doi
103 schema:value 10.1038/sj.bjc.6603411
104 rdf:type schema:PropertyValue
105 N75612b9e0efd4e5ca45bc2862acd3660 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Neoplasm Staging
107 rdf:type schema:DefinedTerm
108 N76cf2efc6b0f4088bc1420b8f849bcc4 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
109 schema:name Male
110 rdf:type schema:DefinedTerm
111 N783659c0d21a45559c4d2cb43ab3c880 rdf:first sg:person.0712305046.96
112 rdf:rest Nc0cc4d86c193475985a5b2adf933cbef
113 N87d3a1a731be4d8c85be1e68a963db65 schema:name Department of Cellular Pathology and Molecular Genetics, Liverpool University Hospital, Liverpool L1 3GA, UK
114 rdf:type schema:Organization
115 N8b3a9e8533494211b333cc38c0a8371f schema:name readcube_id
116 schema:value b1c0854085b4ec0814ea50aa79a0a9d71fa62fed11d88c1cdf7c9c93ec0b0912
117 rdf:type schema:PropertyValue
118 N8bfe71f165094affb6d0a91318e043da schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Treatment Outcome
120 rdf:type schema:DefinedTerm
121 N8d857b729a2e483e86eb2e075e785700 schema:issueNumber 9
122 rdf:type schema:PublicationIssue
123 N987bf5c35e5645fd8cbcbe71ff21d83b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Prostatic Neoplasms
125 rdf:type schema:DefinedTerm
126 Na004eb65758041b9b0580522141f915c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
127 schema:name Humans
128 rdf:type schema:DefinedTerm
129 Na0af7033ac664c8caaddd76d5eadd3f7 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
130 schema:name Aged
131 rdf:type schema:DefinedTerm
132 Na5483f1af4104db6ba88103e80bc0028 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Middle Aged
134 rdf:type schema:DefinedTerm
135 Na9f43f8a951f482b8e8dad857fe6e5a1 schema:volumeNumber 95
136 rdf:type schema:PublicationVolume
137 Nb1d16fc6861a447c81f62a3d3a2ce02f schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Prostate
139 rdf:type schema:DefinedTerm
140 Nb62197a850b84590b6657ef854dd86ae schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Severity of Illness Index
142 rdf:type schema:DefinedTerm
143 Nb94b0408d9f3430ab3113b9cc7cf460c schema:name pubmed_id
144 schema:value 17077805
145 rdf:type schema:PropertyValue
146 Nbcde60c3e3924111b8c54656669eb59c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
147 schema:name Survival Rate
148 rdf:type schema:DefinedTerm
149 Nc0cc4d86c193475985a5b2adf933cbef rdf:first sg:person.07616303717.09
150 rdf:rest rdf:nil
151 Ndef387b07cfd48118f4d2ef186a88039 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
152 schema:name Prognosis
153 rdf:type schema:DefinedTerm
154 Ne0e445ab57694071ac1d9fb004b9f477 schema:name Springer Nature - SN SciGraph project
155 rdf:type schema:Organization
156 Nf06ad9899d254df28a34316ee7053513 rdf:first sg:person.010237502177.82
157 rdf:rest N37a2252b2b5d47319cad70ccff3612c2
158 Nf4687a58dc3e43719391aa372b405922 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
159 schema:name Multivariate Analysis
160 rdf:type schema:DefinedTerm
161 Nf8ceec3abae344cbbeb1015a78794a1e schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Follow-Up Studies
163 rdf:type schema:DefinedTerm
164 Nfe0690a58a0343e5a2e878827efdcda1 schema:name dimensions_id
165 schema:value pub.1037314194
166 rdf:type schema:PropertyValue
167 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
168 schema:name Medical and Health Sciences
169 rdf:type schema:DefinedTerm
170 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
171 schema:name Oncology and Carcinogenesis
172 rdf:type schema:DefinedTerm
173 sg:grant.2754916 http://pending.schema.org/fundedItem sg:pub.10.1038/sj.bjc.6603411
174 rdf:type schema:MonetaryGrant
175 sg:journal.1017082 schema:issn 0007-0920
176 1532-1827
177 schema:name British Journal of Cancer
178 rdf:type schema:Periodical
179 sg:person.010237502177.82 schema:affiliation https://www.grid.ac/institutes/grid.13097.3c
180 schema:familyName Møller
181 schema:givenName H
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010237502177.82
183 rdf:type schema:Person
184 sg:person.01044015775.99 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
185 schema:familyName Fearn
186 schema:givenName P
187 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044015775.99
188 rdf:type schema:Person
189 sg:person.01136264541.86 schema:affiliation https://www.grid.ac/institutes/grid.416353.6
190 schema:familyName Oliver
191 schema:givenName T
192 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136264541.86
193 rdf:type schema:Person
194 sg:person.01136740201.43 schema:affiliation https://www.grid.ac/institutes/grid.83440.3b
195 schema:familyName Cuzick
196 schema:givenName J
197 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01136740201.43
198 rdf:type schema:Person
199 sg:person.01237452771.56 schema:affiliation https://www.grid.ac/institutes/grid.83440.3b
200 schema:familyName Fisher
201 schema:givenName G
202 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01237452771.56
203 rdf:type schema:Person
204 sg:person.01306051172.56 schema:affiliation https://www.grid.ac/institutes/grid.416353.6
205 schema:familyName Berney
206 schema:givenName D
207 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306051172.56
208 rdf:type schema:Person
209 sg:person.013420772717.11 schema:affiliation https://www.grid.ac/institutes/grid.239578.2
210 schema:familyName Kattan
211 schema:givenName M W
212 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013420772717.11
213 rdf:type schema:Person
214 sg:person.014005711417.01 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
215 schema:familyName Reuter
216 schema:givenName V
217 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014005711417.01
218 rdf:type schema:Person
219 sg:person.0712305046.96 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
220 schema:familyName Eastham
221 schema:givenName J
222 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0712305046.96
223 rdf:type schema:Person
224 sg:person.07616303717.09 schema:affiliation https://www.grid.ac/institutes/grid.51462.34
225 schema:familyName Scardino
226 schema:givenName P
227 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07616303717.09
228 rdf:type schema:Person
229 sg:person.0777716355.29 schema:affiliation N87d3a1a731be4d8c85be1e68a963db65
230 schema:familyName Foster
231 schema:givenName C S
232 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0777716355.29
233 rdf:type schema:Person
234 https://app.dimensions.ai/details/publication/pub.1082514950 schema:CreativeWork
235 https://doi.org/10.1001/jama.1995.03530080042039 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013793305
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1001/jama.274.8.626 schema:sameAs https://app.dimensions.ai/details/publication/pub.1054159300
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1001/jama.280.11.975 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017247136
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1001/jama.291.22.2713 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019249000
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1001/jama.293.17.2095 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041950077
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1002/(sici)1097-0142(19980915)83:6<1180::aid-cncr18>3.0.co;2-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038241286
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1002/ijc.2910200506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031053936
248 rdf:type schema:CreativeWork
249 https://doi.org/10.1016/0021-9681(87)90171-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020988115
250 rdf:type schema:CreativeWork
251 https://doi.org/10.1016/s0090-4295(97)00320-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043112089
252 rdf:type schema:CreativeWork
253 https://doi.org/10.1016/s0302-2838(03)00085-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1030014927
254 rdf:type schema:CreativeWork
255 https://doi.org/10.1056/nejm199401273300403 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034494234
256 rdf:type schema:CreativeWork
257 https://doi.org/10.1056/nejmoa012794 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047688081
258 rdf:type schema:CreativeWork
259 https://doi.org/10.1056/nejmoa043739 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011422121
260 rdf:type schema:CreativeWork
261 https://doi.org/10.1093/jnci/90.10.766 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016489321
262 rdf:type schema:CreativeWork
263 https://doi.org/10.1093/jnci/dji248 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026394263
264 rdf:type schema:CreativeWork
265 https://doi.org/10.1097/01.ju.0000085675.96097.76 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002139789
266 rdf:type schema:CreativeWork
267 https://www.grid.ac/institutes/grid.13097.3c schema:alternateName King's College London
268 schema:name King's College, Thames Cancer Registry, London SE1 3QD, UK
269 rdf:type schema:Organization
270 https://www.grid.ac/institutes/grid.239578.2 schema:alternateName Cleveland Clinic
271 schema:name Department of Quantitative Health Sciences, The Cleveland Clinic Foundation, Cleveland, OH 44195, USA
272 rdf:type schema:Organization
273 https://www.grid.ac/institutes/grid.416353.6 schema:alternateName St Bartholomew's Hospital
274 schema:name Department of Histopathology, St Bartholomew's Hospital, London E1 2ES, UK
275 Department of Medical Oncology, St Bartholomew's Hospital, London EC1A 7BE, UK
276 rdf:type schema:Organization
277 https://www.grid.ac/institutes/grid.51462.34 schema:alternateName Memorial Sloan Kettering Cancer Center
278 schema:name Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY 10021, USA
279 Department of Urology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10021, USA
280 rdf:type schema:Organization
281 https://www.grid.ac/institutes/grid.83440.3b schema:alternateName University College London
282 schema:name Cancer Research UK Centre for Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, St Bartholomew's Medical School, Queen Mary, University of London, Charterhouse Square, London EC1M 6BQ, UK
283 rdf:type schema:Organization
 




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


...