Prognostic value of the inverse platelet to lymphocyte ratio (iPLR) in patients with multiple myeloma who were treated up front ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-01

AUTHORS

Sung-Hoon Jung, Jin Seok Kim, Won Sik Lee, Suk Joong Oh, Jae-Sook Ahn, Deok-Hwan Yang, Yeo-Kyeoung Kim, Hyeoung-Joon Kim, Je-Jung Lee

ABSTRACT

Recently, reactive thrombosis or platelet to lymphocyte ratio has been reported as a strong predictor of poor prognosis in various types of cancer. However, a study investigating the relationship between platelet counts and thrombopoietic cytokines suggested that low platelet could be important in multiple myeloma (MM), which means platelet count decreased in advanced International Staging System (ISS) stage. Therefore, we developed inverse platelet to lymphocyte ratio (iPLR) and assessed the prognostic value of iPLR in patients with MM. We retrospectively analyzed 283 patients who were treated up front with a novel agent-containing regimen. Patients were classified into three groups based on hazard ratio (HR) according to iPLR: low iPLR (group 1), middle iPLR (group 2), and high iPLR (group 3). Over a median follow-up of 34.8 months, staging by iPLR group had predictive value for progression-free survival (PFS) and overall survival (OS). In addition, staging by iPLR group was a reliable method to predict for survival in patients who presented with renal failure (eGFR<60 mL/min/1.73 m2) and in elderly patients. Multivariate analyses demonstrated that staging by iPLR group was associated with PFS and OS in patients with MM. In conclusion, this study suggested that iPLR is a simple and reliable inflammatory prognostic factor in the era of novel agents. More... »

PAGES

55-61

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00277-015-2521-x

DOI

http://dx.doi.org/10.1007/s00277-015-2521-x

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1003549004

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26467916


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/2008/1102", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Cardiorespiratory Medicine and Haematology", 
        "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": "Adult", 
        "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": "Antineoplastic Combined Chemotherapy Protocols", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Blood Platelets", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "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": "Lymphocytes", 
        "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": "Multiple Myeloma", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Platelet Count", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Survival Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Treatment Outcome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hwasun Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411602.0", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 322 Seoyangro, 519-763, Hwasun, Jeollanamdo, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Jung", 
        "givenName": "Sung-Hoon", 
        "id": "sg:person.01346642620.39", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346642620.39"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Yonsei University", 
          "id": "https://www.grid.ac/institutes/grid.15444.30", 
          "name": [
            "Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Jin Seok", 
        "id": "sg:person.014345161624.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014345161624.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Inje University Busan Paik Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411625.5", 
          "name": [
            "Hemato-oncology, Busan Paik Hospital, Inje University, Busan, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Won Sik", 
        "id": "sg:person.01031456242.28", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031456242.28"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sungkyunkwan University", 
          "id": "https://www.grid.ac/institutes/grid.264381.a", 
          "name": [
            "Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Oh", 
        "givenName": "Suk Joong", 
        "id": "sg:person.01254525427.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254525427.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hwasun Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411602.0", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 322 Seoyangro, 519-763, Hwasun, Jeollanamdo, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ahn", 
        "givenName": "Jae-Sook", 
        "id": "sg:person.01017560023.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017560023.88"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hwasun Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411602.0", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 322 Seoyangro, 519-763, Hwasun, Jeollanamdo, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yang", 
        "givenName": "Deok-Hwan", 
        "id": "sg:person.0753367262.83", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753367262.83"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hwasun Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411602.0", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 322 Seoyangro, 519-763, Hwasun, Jeollanamdo, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Yeo-Kyeoung", 
        "id": "sg:person.01357201730.48", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357201730.48"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hwasun Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411602.0", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 322 Seoyangro, 519-763, Hwasun, Jeollanamdo, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kim", 
        "givenName": "Hyeoung-Joon", 
        "id": "sg:person.0617770714.19", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617770714.19"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Chonnam National University Hwasun Hospital", 
          "id": "https://www.grid.ac/institutes/grid.411602.0", 
          "name": [
            "Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 322 Seoyangro, 519-763, Hwasun, Jeollanamdo, Republic of Korea"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lee", 
        "givenName": "Je-Jung", 
        "id": "sg:person.01204441075.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204441075.42"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1111/j.1523-1755.2005.00365.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001663676", 
          "https://doi.org/10.1111/j.1523-1755.2005.00365.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/10428194.2011.597906", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007393992"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12185-014-1539-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009326181", 
          "https://doi.org/10.1007/s12185-014-1539-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2005.04.242", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009723860"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/cji.0b013e3181d32e74", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012212391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/cji.0b013e3181d32e74", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012212391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1097/cji.0b013e3181d32e74", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012212391"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1155/2014/142425", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016077294"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2011.02.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023540354"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3816/clm.2008.n.041", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024710424"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/leu.2008.402", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028476811", 
          "https://doi.org/10.1038/leu.2008.402"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/etm.2013.1003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029702663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3892/etm.2013.1003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029702663"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2141.2008.07123.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036663021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1056/nejmra1011442", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039702038"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2013.05.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045988828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ygyno.2013.05.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045988828"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2141.1994.tb04748.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048201632"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hon.2026", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048288842"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/09537100903360007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049727165"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1182/blood-2007-10-078022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049838169"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1160/th13-08-0632", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1063293495"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.2003.06.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064203648"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079921234", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083233134", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1083270572", 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2016-01", 
    "datePublishedReg": "2016-01-01", 
    "description": "Recently, reactive thrombosis or platelet to lymphocyte ratio has been reported as a strong predictor of poor prognosis in various types of cancer. However, a study investigating the relationship between platelet counts and thrombopoietic cytokines suggested that low platelet could be important in multiple myeloma (MM), which means platelet count decreased in advanced International Staging System (ISS) stage. Therefore, we developed inverse platelet to lymphocyte ratio (iPLR) and assessed the prognostic value of iPLR in patients with MM. We retrospectively analyzed 283 patients who were treated up front with a novel agent-containing regimen. Patients were classified into three groups based on hazard ratio (HR) according to iPLR: low iPLR (group 1), middle iPLR (group 2), and high iPLR (group 3). Over a median follow-up of 34.8 months, staging by iPLR group had predictive value for progression-free survival (PFS) and overall survival (OS). In addition, staging by iPLR group was a reliable method to predict for survival in patients who presented with renal failure (eGFR<60 mL/min/1.73 m2) and in elderly patients. Multivariate analyses demonstrated that staging by iPLR group was associated with PFS and OS in patients with MM. In conclusion, this study suggested that iPLR is a simple and reliable inflammatory prognostic factor in the era of novel agents.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00277-015-2521-x", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1018247", 
        "issn": [
          "1269-3286", 
          "1279-8509"
        ], 
        "name": "Annals of Hematology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "95"
      }
    ], 
    "name": "Prognostic value of the inverse platelet to lymphocyte ratio (iPLR) in patients with multiple myeloma who were treated up front with a novel agent-containing regimen", 
    "pagination": "55-61", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "10e7f13e6f86d528a5dfc95f0399c53631ea6bb86e66d9cd1f83b49b55418b7a"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26467916"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9107334"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00277-015-2521-x"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1003549004"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00277-015-2521-x", 
      "https://app.dimensions.ai/details/publication/pub.1003549004"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T01:53", 
    "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/v90/0000000001_0000000264/records_8700_00000485.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1007/s00277-015-2521-x"
  }
]
 

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/s00277-015-2521-x'

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/s00277-015-2521-x'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00277-015-2521-x'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00277-015-2521-x'


 

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

268 TRIPLES      21 PREDICATES      68 URIs      38 LITERALS      26 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00277-015-2521-x schema:about N0043ab22af0e4cf6a374b24c4363f5ba
2 N163b784451c24f92bf243e3fb70726fd
3 N168c9f4ba0964c1faf012748ac72572c
4 N2173cf5648b34700836e7449e7324073
5 N230e07e734164cba9490fddf0769f46d
6 N33cb36d2e8ec477f9e92bffe23006c83
7 N3915ae5265834c608d27fae967560d71
8 N42eb67026a4e446fbc49e1129a59e6f5
9 N48e58a4ea9c540c29725b91d8cfafdb3
10 N4b0c4a398c2d447db2be17337a0ddb23
11 N511a25cf9c32401aba1e7fc28efae611
12 N8941fedaecc8456a868743a0183479af
13 Nab8ea20f57db450f95aec94a512b4104
14 Nc78de718a12a4b348484d9d42c58bb91
15 Nca5af2f505a54fab9c6ed442f62f6efc
16 Ndcaf5ed0096e4a7db7593c2265dea7f1
17 Nfe44f123272147b99efae5eb820d09ff
18 anzsrc-for:11
19 anzsrc-for:1102
20 schema:author N89b27340bb3740d0b39ee372f424af16
21 schema:citation sg:pub.10.1007/s12185-014-1539-5
22 sg:pub.10.1038/leu.2008.402
23 sg:pub.10.1111/j.1523-1755.2005.00365.x
24 https://app.dimensions.ai/details/publication/pub.1079921234
25 https://app.dimensions.ai/details/publication/pub.1083233134
26 https://app.dimensions.ai/details/publication/pub.1083270572
27 https://doi.org/10.1002/hon.2026
28 https://doi.org/10.1016/j.cell.2011.02.013
29 https://doi.org/10.1016/j.ygyno.2013.05.038
30 https://doi.org/10.1056/nejmra1011442
31 https://doi.org/10.1097/cji.0b013e3181d32e74
32 https://doi.org/10.1111/j.1365-2141.1994.tb04748.x
33 https://doi.org/10.1111/j.1365-2141.2008.07123.x
34 https://doi.org/10.1155/2014/142425
35 https://doi.org/10.1160/th13-08-0632
36 https://doi.org/10.1182/blood-2007-10-078022
37 https://doi.org/10.1200/jco.2003.06.001
38 https://doi.org/10.1200/jco.2005.04.242
39 https://doi.org/10.3109/09537100903360007
40 https://doi.org/10.3109/10428194.2011.597906
41 https://doi.org/10.3816/clm.2008.n.041
42 https://doi.org/10.3892/etm.2013.1003
43 schema:datePublished 2016-01
44 schema:datePublishedReg 2016-01-01
45 schema:description Recently, reactive thrombosis or platelet to lymphocyte ratio has been reported as a strong predictor of poor prognosis in various types of cancer. However, a study investigating the relationship between platelet counts and thrombopoietic cytokines suggested that low platelet could be important in multiple myeloma (MM), which means platelet count decreased in advanced International Staging System (ISS) stage. Therefore, we developed inverse platelet to lymphocyte ratio (iPLR) and assessed the prognostic value of iPLR in patients with MM. We retrospectively analyzed 283 patients who were treated up front with a novel agent-containing regimen. Patients were classified into three groups based on hazard ratio (HR) according to iPLR: low iPLR (group 1), middle iPLR (group 2), and high iPLR (group 3). Over a median follow-up of 34.8 months, staging by iPLR group had predictive value for progression-free survival (PFS) and overall survival (OS). In addition, staging by iPLR group was a reliable method to predict for survival in patients who presented with renal failure (eGFR<60 mL/min/1.73 m2) and in elderly patients. Multivariate analyses demonstrated that staging by iPLR group was associated with PFS and OS in patients with MM. In conclusion, this study suggested that iPLR is a simple and reliable inflammatory prognostic factor in the era of novel agents.
46 schema:genre research_article
47 schema:inLanguage en
48 schema:isAccessibleForFree false
49 schema:isPartOf N4883c0a12d0a4fcc8f32cacea0c5d3b8
50 Nd4d670e1b1b64700a46dbe197a9aa8a9
51 sg:journal.1018247
52 schema:name Prognostic value of the inverse platelet to lymphocyte ratio (iPLR) in patients with multiple myeloma who were treated up front with a novel agent-containing regimen
53 schema:pagination 55-61
54 schema:productId N6070b00fd6cc4641ba8a88fb54102d71
55 N67976ffa271343ea9ce2244a6d710374
56 N80452bd83cb043f9b0563a595112450f
57 Nc56a7ce4d238444387e75a5511eeebb0
58 Nc7a964edbd614f54aa50c0248659f5cf
59 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003549004
60 https://doi.org/10.1007/s00277-015-2521-x
61 schema:sdDatePublished 2019-04-11T01:53
62 schema:sdLicense https://scigraph.springernature.com/explorer/license/
63 schema:sdPublisher Ne41250736f52492a95f286c67899456c
64 schema:url http://link.springer.com/10.1007/s00277-015-2521-x
65 sgo:license sg:explorer/license/
66 sgo:sdDataset articles
67 rdf:type schema:ScholarlyArticle
68 N0043ab22af0e4cf6a374b24c4363f5ba schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Multiple Myeloma
70 rdf:type schema:DefinedTerm
71 N163b784451c24f92bf243e3fb70726fd schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
72 schema:name Treatment Outcome
73 rdf:type schema:DefinedTerm
74 N168c9f4ba0964c1faf012748ac72572c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
75 schema:name Middle Aged
76 rdf:type schema:DefinedTerm
77 N2173cf5648b34700836e7449e7324073 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
78 schema:name Male
79 rdf:type schema:DefinedTerm
80 N230e07e734164cba9490fddf0769f46d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
81 schema:name Adult
82 rdf:type schema:DefinedTerm
83 N33cb36d2e8ec477f9e92bffe23006c83 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
84 schema:name Antineoplastic Combined Chemotherapy Protocols
85 rdf:type schema:DefinedTerm
86 N3915ae5265834c608d27fae967560d71 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
87 schema:name Follow-Up Studies
88 rdf:type schema:DefinedTerm
89 N42eb67026a4e446fbc49e1129a59e6f5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Aged
91 rdf:type schema:DefinedTerm
92 N455de7b07c064ad2b3a12d79053fd2f4 rdf:first sg:person.0753367262.83
93 rdf:rest Nb45964b181eb48db9d83300718024f8d
94 N4883c0a12d0a4fcc8f32cacea0c5d3b8 schema:volumeNumber 95
95 rdf:type schema:PublicationVolume
96 N48e58a4ea9c540c29725b91d8cfafdb3 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
97 schema:name Aged, 80 and over
98 rdf:type schema:DefinedTerm
99 N4b0c4a398c2d447db2be17337a0ddb23 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
100 schema:name Blood Platelets
101 rdf:type schema:DefinedTerm
102 N511a25cf9c32401aba1e7fc28efae611 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Survival Rate
104 rdf:type schema:DefinedTerm
105 N6070b00fd6cc4641ba8a88fb54102d71 schema:name pubmed_id
106 schema:value 26467916
107 rdf:type schema:PropertyValue
108 N67976ffa271343ea9ce2244a6d710374 schema:name readcube_id
109 schema:value 10e7f13e6f86d528a5dfc95f0399c53631ea6bb86e66d9cd1f83b49b55418b7a
110 rdf:type schema:PropertyValue
111 N7ce1d681235d4fb2981f5acc1277f2ef rdf:first sg:person.0617770714.19
112 rdf:rest Nb764be6a431a4fb9914c9aba6910f280
113 N7da905b0184a4f30845a095d22be3a30 rdf:first sg:person.01017560023.88
114 rdf:rest N455de7b07c064ad2b3a12d79053fd2f4
115 N80452bd83cb043f9b0563a595112450f schema:name doi
116 schema:value 10.1007/s00277-015-2521-x
117 rdf:type schema:PropertyValue
118 N8941fedaecc8456a868743a0183479af schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Retrospective Studies
120 rdf:type schema:DefinedTerm
121 N89b27340bb3740d0b39ee372f424af16 rdf:first sg:person.01346642620.39
122 rdf:rest Nf22a22da42614e7fb0dd93c7e3ae4c07
123 N91551b9a9340443982d6074de873259e rdf:first sg:person.01254525427.31
124 rdf:rest N7da905b0184a4f30845a095d22be3a30
125 N93d67ae9f1224dfcaf7f01c804c728e4 rdf:first sg:person.01031456242.28
126 rdf:rest N91551b9a9340443982d6074de873259e
127 Nab8ea20f57db450f95aec94a512b4104 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Platelet Count
129 rdf:type schema:DefinedTerm
130 Nb45964b181eb48db9d83300718024f8d rdf:first sg:person.01357201730.48
131 rdf:rest N7ce1d681235d4fb2981f5acc1277f2ef
132 Nb764be6a431a4fb9914c9aba6910f280 rdf:first sg:person.01204441075.42
133 rdf:rest rdf:nil
134 Nc56a7ce4d238444387e75a5511eeebb0 schema:name dimensions_id
135 schema:value pub.1003549004
136 rdf:type schema:PropertyValue
137 Nc78de718a12a4b348484d9d42c58bb91 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
138 schema:name Female
139 rdf:type schema:DefinedTerm
140 Nc7a964edbd614f54aa50c0248659f5cf schema:name nlm_unique_id
141 schema:value 9107334
142 rdf:type schema:PropertyValue
143 Nca5af2f505a54fab9c6ed442f62f6efc schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
144 schema:name Humans
145 rdf:type schema:DefinedTerm
146 Nd4d670e1b1b64700a46dbe197a9aa8a9 schema:issueNumber 1
147 rdf:type schema:PublicationIssue
148 Ndcaf5ed0096e4a7db7593c2265dea7f1 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
149 schema:name Lymphocytes
150 rdf:type schema:DefinedTerm
151 Ne41250736f52492a95f286c67899456c schema:name Springer Nature - SN SciGraph project
152 rdf:type schema:Organization
153 Nf22a22da42614e7fb0dd93c7e3ae4c07 rdf:first sg:person.014345161624.41
154 rdf:rest N93d67ae9f1224dfcaf7f01c804c728e4
155 Nfe44f123272147b99efae5eb820d09ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
156 schema:name Prognosis
157 rdf:type schema:DefinedTerm
158 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
159 schema:name Medical and Health Sciences
160 rdf:type schema:DefinedTerm
161 anzsrc-for:1102 schema:inDefinedTermSet anzsrc-for:
162 schema:name Cardiorespiratory Medicine and Haematology
163 rdf:type schema:DefinedTerm
164 sg:journal.1018247 schema:issn 1269-3286
165 1279-8509
166 schema:name Annals of Hematology
167 rdf:type schema:Periodical
168 sg:person.01017560023.88 schema:affiliation https://www.grid.ac/institutes/grid.411602.0
169 schema:familyName Ahn
170 schema:givenName Jae-Sook
171 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01017560023.88
172 rdf:type schema:Person
173 sg:person.01031456242.28 schema:affiliation https://www.grid.ac/institutes/grid.411625.5
174 schema:familyName Lee
175 schema:givenName Won Sik
176 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031456242.28
177 rdf:type schema:Person
178 sg:person.01204441075.42 schema:affiliation https://www.grid.ac/institutes/grid.411602.0
179 schema:familyName Lee
180 schema:givenName Je-Jung
181 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01204441075.42
182 rdf:type schema:Person
183 sg:person.01254525427.31 schema:affiliation https://www.grid.ac/institutes/grid.264381.a
184 schema:familyName Oh
185 schema:givenName Suk Joong
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01254525427.31
187 rdf:type schema:Person
188 sg:person.01346642620.39 schema:affiliation https://www.grid.ac/institutes/grid.411602.0
189 schema:familyName Jung
190 schema:givenName Sung-Hoon
191 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01346642620.39
192 rdf:type schema:Person
193 sg:person.01357201730.48 schema:affiliation https://www.grid.ac/institutes/grid.411602.0
194 schema:familyName Kim
195 schema:givenName Yeo-Kyeoung
196 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01357201730.48
197 rdf:type schema:Person
198 sg:person.014345161624.41 schema:affiliation https://www.grid.ac/institutes/grid.15444.30
199 schema:familyName Kim
200 schema:givenName Jin Seok
201 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014345161624.41
202 rdf:type schema:Person
203 sg:person.0617770714.19 schema:affiliation https://www.grid.ac/institutes/grid.411602.0
204 schema:familyName Kim
205 schema:givenName Hyeoung-Joon
206 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617770714.19
207 rdf:type schema:Person
208 sg:person.0753367262.83 schema:affiliation https://www.grid.ac/institutes/grid.411602.0
209 schema:familyName Yang
210 schema:givenName Deok-Hwan
211 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0753367262.83
212 rdf:type schema:Person
213 sg:pub.10.1007/s12185-014-1539-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009326181
214 https://doi.org/10.1007/s12185-014-1539-5
215 rdf:type schema:CreativeWork
216 sg:pub.10.1038/leu.2008.402 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028476811
217 https://doi.org/10.1038/leu.2008.402
218 rdf:type schema:CreativeWork
219 sg:pub.10.1111/j.1523-1755.2005.00365.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001663676
220 https://doi.org/10.1111/j.1523-1755.2005.00365.x
221 rdf:type schema:CreativeWork
222 https://app.dimensions.ai/details/publication/pub.1079921234 schema:CreativeWork
223 https://app.dimensions.ai/details/publication/pub.1083233134 schema:CreativeWork
224 https://app.dimensions.ai/details/publication/pub.1083270572 schema:CreativeWork
225 https://doi.org/10.1002/hon.2026 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048288842
226 rdf:type schema:CreativeWork
227 https://doi.org/10.1016/j.cell.2011.02.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023540354
228 rdf:type schema:CreativeWork
229 https://doi.org/10.1016/j.ygyno.2013.05.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045988828
230 rdf:type schema:CreativeWork
231 https://doi.org/10.1056/nejmra1011442 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039702038
232 rdf:type schema:CreativeWork
233 https://doi.org/10.1097/cji.0b013e3181d32e74 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012212391
234 rdf:type schema:CreativeWork
235 https://doi.org/10.1111/j.1365-2141.1994.tb04748.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048201632
236 rdf:type schema:CreativeWork
237 https://doi.org/10.1111/j.1365-2141.2008.07123.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036663021
238 rdf:type schema:CreativeWork
239 https://doi.org/10.1155/2014/142425 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016077294
240 rdf:type schema:CreativeWork
241 https://doi.org/10.1160/th13-08-0632 schema:sameAs https://app.dimensions.ai/details/publication/pub.1063293495
242 rdf:type schema:CreativeWork
243 https://doi.org/10.1182/blood-2007-10-078022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049838169
244 rdf:type schema:CreativeWork
245 https://doi.org/10.1200/jco.2003.06.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064203648
246 rdf:type schema:CreativeWork
247 https://doi.org/10.1200/jco.2005.04.242 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009723860
248 rdf:type schema:CreativeWork
249 https://doi.org/10.3109/09537100903360007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049727165
250 rdf:type schema:CreativeWork
251 https://doi.org/10.3109/10428194.2011.597906 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007393992
252 rdf:type schema:CreativeWork
253 https://doi.org/10.3816/clm.2008.n.041 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024710424
254 rdf:type schema:CreativeWork
255 https://doi.org/10.3892/etm.2013.1003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029702663
256 rdf:type schema:CreativeWork
257 https://www.grid.ac/institutes/grid.15444.30 schema:alternateName Yonsei University
258 schema:name Division of Hematology, Department of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea
259 rdf:type schema:Organization
260 https://www.grid.ac/institutes/grid.264381.a schema:alternateName Sungkyunkwan University
261 schema:name Department of Internal Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea
262 rdf:type schema:Organization
263 https://www.grid.ac/institutes/grid.411602.0 schema:alternateName Chonnam National University Hwasun Hospital
264 schema:name Department of Hematology-Oncology, Chonnam National University Hwasun Hospital, 322 Seoyangro, 519-763, Hwasun, Jeollanamdo, Republic of Korea
265 rdf:type schema:Organization
266 https://www.grid.ac/institutes/grid.411625.5 schema:alternateName Inje University Busan Paik Hospital
267 schema:name Hemato-oncology, Busan Paik Hospital, Inje University, Busan, Republic of Korea
268 rdf:type schema:Organization
 




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


...