Pharmacokinetics of mitoxantrone in cancer patients treated by high-dose chemotherapy and autologous bone marrow transplantation View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

1992-03

AUTHORS

B Richard, MC Launay-Iliadis, A Iliadis, S Just-Landi, D Blaise, AM Stoppa, P Viens, MH Gaspard, D Maraninchi, JP Cano, Y Carcassonne

ABSTRACT

We have studied the pharmacokinetics of mitoxantrone in cancer patients. Two regimens were used: eight women (10 kinetics) received a 10 min i.v. infusion of 12 mg m-2 of mitoxantrone; seven women (seven kinetics) received high-dose mitoxantrone associated to high-dose alkylating agents and underwent autologous bone marrow transplantation (BMT). High-dose mitoxantrone was administered according to two different protocols. The drug was quantified in plasma with an HPLC assay and pharmacokinetic analysis was performed with the APIS software. Mitoxantrone pharmacokinetics were best described by an open two- (six kinetics) or an open three compartment model (11 kinetics). A large interindivual variability was observed in pharmacokinetic parameters. In the first group of patients, mean +/- s.d. values of clearance, half-life and total distribution volume were 21.41 +/- 14.59 1 h-1, 19.83 +/- 23.95 h, 165.89 +/- 134.75 1 respectively. In the high-dose group, these values were 21.68 +/- 7.30 1 h-1, 50.26 +/- 20.62 h, 413.70 +/- 194.81 1 respectively. Results showed that identification through the open 2-compartment model is certainly related to the small number of late time-points. We therefore think that mitoxantrone pharmacokinetics is generally best described by an open 3-compartment model. Clearance values showed that there was no saturation in mitoxantrone elimination, even at the highest doses. Terminal elimination half-life was probably underestimated because of the lack of late time-points in some kinetics. The half-life is long for patients receiving high-dose mitoxantrone (mean value was 50 h) and it would be hazardous to perform BMT too early after mitoxantrone infusion. Mitoxantrone metabolites were detected in the plasma of five patients receiving high-dose mitoxantrone and in one with hepatic impairment. More... »

PAGES

399

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/bjc.1992.81

DOI

http://dx.doi.org/10.1038/bjc.1992.81

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1021922649

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/1558794


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/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "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": "Adolescent", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Adult", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Bone Marrow Transplantation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromatography, High Pressure Liquid", 
        "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": "Infusions, Intravenous", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Metabolic Clearance Rate", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Middle Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Mitoxantrone", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Neoplasms", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transplantation, Autologous", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "familyName": "Richard", 
        "givenName": "B", 
        "id": "sg:person.0674760623.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674760623.40"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Launay-Iliadis", 
        "givenName": "MC", 
        "id": "sg:person.0621312100.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621312100.16"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Iliadis", 
        "givenName": "A", 
        "id": "sg:person.01345407065.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345407065.13"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Just-Landi", 
        "givenName": "S", 
        "id": "sg:person.014665260140.17", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014665260140.17"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Blaise", 
        "givenName": "D", 
        "id": "sg:person.0644473065.59", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644473065.59"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Stoppa", 
        "givenName": "AM", 
        "id": "sg:person.015101675464.51", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015101675464.51"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Viens", 
        "givenName": "P", 
        "id": "sg:person.01367530120.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367530120.79"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Gaspard", 
        "givenName": "MH", 
        "id": "sg:person.0634547675.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634547675.86"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Maraninchi", 
        "givenName": "D", 
        "id": "sg:person.01364057057.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364057057.31"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Cano", 
        "givenName": "JP", 
        "id": "sg:person.0710363633.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710363633.69"
        ], 
        "type": "Person"
      }, 
      {
        "familyName": "Carcassonne", 
        "givenName": "Y", 
        "id": "sg:person.0750362101.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750362101.05"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/0305-7372(83)90018-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001199290"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00253059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004457693", 
          "https://doi.org/10.1007/bf00253059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00253059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004457693", 
          "https://doi.org/10.1007/bf00253059"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/jps.2600781020", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1008201544"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00306744", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015201399", 
          "https://doi.org/10.1007/bf00306744"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-2952(91)90484-m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023048571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-2952(91)90484-m", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023048571"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00174157", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024750075", 
          "https://doi.org/10.1007/bf00174157"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00174156", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026948079", 
          "https://doi.org/10.1007/bf00174156"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-4347(00)81110-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036561580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00292881", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039317606", 
          "https://doi.org/10.1007/bf00292881"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/clpt.1982.39", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039503603", 
          "https://doi.org/10.1038/clpt.1982.39"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0378-4347(00)84494-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045700737"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00401451", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049209963", 
          "https://doi.org/10.1007/bf00401451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf00401451", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049209963", 
          "https://doi.org/10.1007/bf00401451"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/cdd.1986.3.93", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059243606"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-105-1-67", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073691135"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079008126", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079687002", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1200/jco.1987.5.3.391", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079813887"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079921493", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079941793", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1079953827", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1080063258", 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/bf02934142", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1081810077", 
          "https://doi.org/10.1007/bf02934142"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1992-03", 
    "datePublishedReg": "1992-03-01", 
    "description": "We have studied the pharmacokinetics of mitoxantrone in cancer patients. Two regimens were used: eight women (10 kinetics) received a 10 min i.v. infusion of 12 mg m-2 of mitoxantrone; seven women (seven kinetics) received high-dose mitoxantrone associated to high-dose alkylating agents and underwent autologous bone marrow transplantation (BMT). High-dose mitoxantrone was administered according to two different protocols. The drug was quantified in plasma with an HPLC assay and pharmacokinetic analysis was performed with the APIS software. Mitoxantrone pharmacokinetics were best described by an open two- (six kinetics) or an open three compartment model (11 kinetics). A large interindivual variability was observed in pharmacokinetic parameters. In the first group of patients, mean +/- s.d. values of clearance, half-life and total distribution volume were 21.41 +/- 14.59 1 h-1, 19.83 +/- 23.95 h, 165.89 +/- 134.75 1 respectively. In the high-dose group, these values were 21.68 +/- 7.30 1 h-1, 50.26 +/- 20.62 h, 413.70 +/- 194.81 1 respectively. Results showed that identification through the open 2-compartment model is certainly related to the small number of late time-points. We therefore think that mitoxantrone pharmacokinetics is generally best described by an open 3-compartment model. Clearance values showed that there was no saturation in mitoxantrone elimination, even at the highest doses. Terminal elimination half-life was probably underestimated because of the lack of late time-points in some kinetics. The half-life is long for patients receiving high-dose mitoxantrone (mean value was 50 h) and it would be hazardous to perform BMT too early after mitoxantrone infusion. Mitoxantrone metabolites were detected in the plasma of five patients receiving high-dose mitoxantrone and in one with hepatic impairment.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/bjc.1992.81", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1017082", 
        "issn": [
          "0007-0920", 
          "1532-1827"
        ], 
        "name": "British Journal of Cancer", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "65"
      }
    ], 
    "name": "Pharmacokinetics of mitoxantrone in cancer patients treated by high-dose chemotherapy and autologous bone marrow transplantation", 
    "pagination": "399", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6871b71340c0543bd958990bedbd537c06c24e4bc4f1adb84ea26f98b5b805d7"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "1558794"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "0370635"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/bjc.1992.81"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1021922649"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/bjc.1992.81", 
      "https://app.dimensions.ai/details/publication/pub.1021922649"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:57", 
    "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/v90/0000000359_0000000359/records_29222_00000001.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/bjc199281"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/bjc.1992.81'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/bjc.1992.81'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/bjc.1992.81'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/bjc.1992.81'


 

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

241 TRIPLES      21 PREDICATES      63 URIs      33 LITERALS      21 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/bjc.1992.81 schema:about N33b134914ea646fe9187e21af98ea27a
2 N5bd7d1b92e4f405cbf631694096ad73b
3 N64a5d08941ef4cd08fc09231f0c4c574
4 N6530617ac8c047a9a69f53f86c2c17d6
5 N7b1003cf6acb478cabb8a6c696c20826
6 N7c898c2ce8ed4e6f84f13263ef97a8be
7 N8688ccb6f7a24edbbedd79e2b294b5d9
8 N8ec3ef68f8ce41859d841c0b0727f349
9 Na2247c013f664bb89eb6838416eec243
10 Na748152fb91e4198af51a4a3b945b614
11 Nb2565c6f051b45749181487fefeafeab
12 Nc09b82c95fb144e087c2a47eaf1250ec
13 anzsrc-for:11
14 anzsrc-for:1103
15 schema:author N078a88c6008b4670920ff31fa6f31925
16 schema:citation sg:pub.10.1007/bf00174156
17 sg:pub.10.1007/bf00174157
18 sg:pub.10.1007/bf00253059
19 sg:pub.10.1007/bf00292881
20 sg:pub.10.1007/bf00306744
21 sg:pub.10.1007/bf00401451
22 sg:pub.10.1007/bf02934142
23 sg:pub.10.1038/clpt.1982.39
24 https://app.dimensions.ai/details/publication/pub.1079008126
25 https://app.dimensions.ai/details/publication/pub.1079687002
26 https://app.dimensions.ai/details/publication/pub.1079921493
27 https://app.dimensions.ai/details/publication/pub.1079941793
28 https://app.dimensions.ai/details/publication/pub.1079953827
29 https://app.dimensions.ai/details/publication/pub.1080063258
30 https://doi.org/10.1002/jps.2600781020
31 https://doi.org/10.1016/0006-2952(91)90484-m
32 https://doi.org/10.1016/0305-7372(83)90018-x
33 https://doi.org/10.1016/s0378-4347(00)81110-x
34 https://doi.org/10.1016/s0378-4347(00)84494-1
35 https://doi.org/10.1089/cdd.1986.3.93
36 https://doi.org/10.1200/jco.1987.5.3.391
37 https://doi.org/10.7326/0003-4819-105-1-67
38 schema:datePublished 1992-03
39 schema:datePublishedReg 1992-03-01
40 schema:description We have studied the pharmacokinetics of mitoxantrone in cancer patients. Two regimens were used: eight women (10 kinetics) received a 10 min i.v. infusion of 12 mg m-2 of mitoxantrone; seven women (seven kinetics) received high-dose mitoxantrone associated to high-dose alkylating agents and underwent autologous bone marrow transplantation (BMT). High-dose mitoxantrone was administered according to two different protocols. The drug was quantified in plasma with an HPLC assay and pharmacokinetic analysis was performed with the APIS software. Mitoxantrone pharmacokinetics were best described by an open two- (six kinetics) or an open three compartment model (11 kinetics). A large interindivual variability was observed in pharmacokinetic parameters. In the first group of patients, mean +/- s.d. values of clearance, half-life and total distribution volume were 21.41 +/- 14.59 1 h-1, 19.83 +/- 23.95 h, 165.89 +/- 134.75 1 respectively. In the high-dose group, these values were 21.68 +/- 7.30 1 h-1, 50.26 +/- 20.62 h, 413.70 +/- 194.81 1 respectively. Results showed that identification through the open 2-compartment model is certainly related to the small number of late time-points. We therefore think that mitoxantrone pharmacokinetics is generally best described by an open 3-compartment model. Clearance values showed that there was no saturation in mitoxantrone elimination, even at the highest doses. Terminal elimination half-life was probably underestimated because of the lack of late time-points in some kinetics. The half-life is long for patients receiving high-dose mitoxantrone (mean value was 50 h) and it would be hazardous to perform BMT too early after mitoxantrone infusion. Mitoxantrone metabolites were detected in the plasma of five patients receiving high-dose mitoxantrone and in one with hepatic impairment.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree true
44 schema:isPartOf N1641757aa31c4c76a2bca55d86a15482
45 N1c7d828f12d74beab6a42adaf2be5051
46 sg:journal.1017082
47 schema:name Pharmacokinetics of mitoxantrone in cancer patients treated by high-dose chemotherapy and autologous bone marrow transplantation
48 schema:pagination 399
49 schema:productId N036dbae256f04cf8b9a5a93646f7e2fa
50 N1dab640f4b4c43919392c39222979177
51 N23cc648bb586404d999f5e3b7a2c08f7
52 N8eb4bbcc9c264961b5cd3c72943b3b5b
53 Nf3b0102b0c624270a1a0725f138d0672
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021922649
55 https://doi.org/10.1038/bjc.1992.81
56 schema:sdDatePublished 2019-04-11T11:57
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher N396ca0acafd146c2a79707ef62994c2e
59 schema:url https://www.nature.com/articles/bjc199281
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N036dbae256f04cf8b9a5a93646f7e2fa schema:name doi
64 schema:value 10.1038/bjc.1992.81
65 rdf:type schema:PropertyValue
66 N05a294e01ad0458ab0cd03c3d6a3622a rdf:first sg:person.0710363633.69
67 rdf:rest N57fc278ab818418c89f86aed21e5bd8c
68 N078a88c6008b4670920ff31fa6f31925 rdf:first sg:person.0674760623.40
69 rdf:rest Ne3b4deccebac462a827c85a4b2d48a72
70 N1641757aa31c4c76a2bca55d86a15482 schema:issueNumber 3
71 rdf:type schema:PublicationIssue
72 N1c7d828f12d74beab6a42adaf2be5051 schema:volumeNumber 65
73 rdf:type schema:PublicationVolume
74 N1dab640f4b4c43919392c39222979177 schema:name nlm_unique_id
75 schema:value 0370635
76 rdf:type schema:PropertyValue
77 N23cc648bb586404d999f5e3b7a2c08f7 schema:name dimensions_id
78 schema:value pub.1021922649
79 rdf:type schema:PropertyValue
80 N246ae2cd7f5d4a5e89d77c7623c66b17 rdf:first sg:person.0644473065.59
81 rdf:rest Neb1edb7c42fd4c3a896d31ec78d2f174
82 N33b134914ea646fe9187e21af98ea27a schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
83 schema:name Mitoxantrone
84 rdf:type schema:DefinedTerm
85 N396ca0acafd146c2a79707ef62994c2e schema:name Springer Nature - SN SciGraph project
86 rdf:type schema:Organization
87 N57fc278ab818418c89f86aed21e5bd8c rdf:first sg:person.0750362101.05
88 rdf:rest rdf:nil
89 N5bd7d1b92e4f405cbf631694096ad73b schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
90 schema:name Bone Marrow Transplantation
91 rdf:type schema:DefinedTerm
92 N64a5d08941ef4cd08fc09231f0c4c574 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
93 schema:name Chromatography, High Pressure Liquid
94 rdf:type schema:DefinedTerm
95 N6530617ac8c047a9a69f53f86c2c17d6 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
96 schema:name Female
97 rdf:type schema:DefinedTerm
98 N7b1003cf6acb478cabb8a6c696c20826 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
99 schema:name Infusions, Intravenous
100 rdf:type schema:DefinedTerm
101 N7c898c2ce8ed4e6f84f13263ef97a8be schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
102 schema:name Middle Aged
103 rdf:type schema:DefinedTerm
104 N8688ccb6f7a24edbbedd79e2b294b5d9 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
105 schema:name Neoplasms
106 rdf:type schema:DefinedTerm
107 N8eb4bbcc9c264961b5cd3c72943b3b5b schema:name pubmed_id
108 schema:value 1558794
109 rdf:type schema:PropertyValue
110 N8ec3ef68f8ce41859d841c0b0727f349 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Adolescent
112 rdf:type schema:DefinedTerm
113 N9f9a31d94cd44821a291c9497ba61f1a rdf:first sg:person.01345407065.13
114 rdf:rest Nb2ba72c33d49499499c6012aa480e9e9
115 Na2247c013f664bb89eb6838416eec243 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Transplantation, Autologous
117 rdf:type schema:DefinedTerm
118 Na748152fb91e4198af51a4a3b945b614 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Metabolic Clearance Rate
120 rdf:type schema:DefinedTerm
121 Naa9052e895d644ae911cc3238a8918ce rdf:first sg:person.01367530120.79
122 rdf:rest Nd41b6c5680ea40c1859d0cacf0ba6500
123 Nb2565c6f051b45749181487fefeafeab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
124 schema:name Adult
125 rdf:type schema:DefinedTerm
126 Nb2ba72c33d49499499c6012aa480e9e9 rdf:first sg:person.014665260140.17
127 rdf:rest N246ae2cd7f5d4a5e89d77c7623c66b17
128 Nc09b82c95fb144e087c2a47eaf1250ec schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
129 schema:name Humans
130 rdf:type schema:DefinedTerm
131 Nccafceb6c295488496022a29aaaa0e78 rdf:first sg:person.01364057057.31
132 rdf:rest N05a294e01ad0458ab0cd03c3d6a3622a
133 Nd41b6c5680ea40c1859d0cacf0ba6500 rdf:first sg:person.0634547675.86
134 rdf:rest Nccafceb6c295488496022a29aaaa0e78
135 Ne3b4deccebac462a827c85a4b2d48a72 rdf:first sg:person.0621312100.16
136 rdf:rest N9f9a31d94cd44821a291c9497ba61f1a
137 Neb1edb7c42fd4c3a896d31ec78d2f174 rdf:first sg:person.015101675464.51
138 rdf:rest Naa9052e895d644ae911cc3238a8918ce
139 Nf3b0102b0c624270a1a0725f138d0672 schema:name readcube_id
140 schema:value 6871b71340c0543bd958990bedbd537c06c24e4bc4f1adb84ea26f98b5b805d7
141 rdf:type schema:PropertyValue
142 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
143 schema:name Medical and Health Sciences
144 rdf:type schema:DefinedTerm
145 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
146 schema:name Clinical Sciences
147 rdf:type schema:DefinedTerm
148 sg:journal.1017082 schema:issn 0007-0920
149 1532-1827
150 schema:name British Journal of Cancer
151 rdf:type schema:Periodical
152 sg:person.01345407065.13 schema:familyName Iliadis
153 schema:givenName A
154 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01345407065.13
155 rdf:type schema:Person
156 sg:person.01364057057.31 schema:familyName Maraninchi
157 schema:givenName D
158 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01364057057.31
159 rdf:type schema:Person
160 sg:person.01367530120.79 schema:familyName Viens
161 schema:givenName P
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01367530120.79
163 rdf:type schema:Person
164 sg:person.014665260140.17 schema:familyName Just-Landi
165 schema:givenName S
166 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014665260140.17
167 rdf:type schema:Person
168 sg:person.015101675464.51 schema:familyName Stoppa
169 schema:givenName AM
170 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015101675464.51
171 rdf:type schema:Person
172 sg:person.0621312100.16 schema:familyName Launay-Iliadis
173 schema:givenName MC
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0621312100.16
175 rdf:type schema:Person
176 sg:person.0634547675.86 schema:familyName Gaspard
177 schema:givenName MH
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0634547675.86
179 rdf:type schema:Person
180 sg:person.0644473065.59 schema:familyName Blaise
181 schema:givenName D
182 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0644473065.59
183 rdf:type schema:Person
184 sg:person.0674760623.40 schema:familyName Richard
185 schema:givenName B
186 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0674760623.40
187 rdf:type schema:Person
188 sg:person.0710363633.69 schema:familyName Cano
189 schema:givenName JP
190 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0710363633.69
191 rdf:type schema:Person
192 sg:person.0750362101.05 schema:familyName Carcassonne
193 schema:givenName Y
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750362101.05
195 rdf:type schema:Person
196 sg:pub.10.1007/bf00174156 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026948079
197 https://doi.org/10.1007/bf00174156
198 rdf:type schema:CreativeWork
199 sg:pub.10.1007/bf00174157 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024750075
200 https://doi.org/10.1007/bf00174157
201 rdf:type schema:CreativeWork
202 sg:pub.10.1007/bf00253059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004457693
203 https://doi.org/10.1007/bf00253059
204 rdf:type schema:CreativeWork
205 sg:pub.10.1007/bf00292881 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039317606
206 https://doi.org/10.1007/bf00292881
207 rdf:type schema:CreativeWork
208 sg:pub.10.1007/bf00306744 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015201399
209 https://doi.org/10.1007/bf00306744
210 rdf:type schema:CreativeWork
211 sg:pub.10.1007/bf00401451 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049209963
212 https://doi.org/10.1007/bf00401451
213 rdf:type schema:CreativeWork
214 sg:pub.10.1007/bf02934142 schema:sameAs https://app.dimensions.ai/details/publication/pub.1081810077
215 https://doi.org/10.1007/bf02934142
216 rdf:type schema:CreativeWork
217 sg:pub.10.1038/clpt.1982.39 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039503603
218 https://doi.org/10.1038/clpt.1982.39
219 rdf:type schema:CreativeWork
220 https://app.dimensions.ai/details/publication/pub.1079008126 schema:CreativeWork
221 https://app.dimensions.ai/details/publication/pub.1079687002 schema:CreativeWork
222 https://app.dimensions.ai/details/publication/pub.1079921493 schema:CreativeWork
223 https://app.dimensions.ai/details/publication/pub.1079941793 schema:CreativeWork
224 https://app.dimensions.ai/details/publication/pub.1079953827 schema:CreativeWork
225 https://app.dimensions.ai/details/publication/pub.1080063258 schema:CreativeWork
226 https://doi.org/10.1002/jps.2600781020 schema:sameAs https://app.dimensions.ai/details/publication/pub.1008201544
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/0006-2952(91)90484-m schema:sameAs https://app.dimensions.ai/details/publication/pub.1023048571
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1016/0305-7372(83)90018-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1001199290
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1016/s0378-4347(00)81110-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036561580
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1016/s0378-4347(00)84494-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045700737
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1089/cdd.1986.3.93 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059243606
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1200/jco.1987.5.3.391 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079813887
239 rdf:type schema:CreativeWork
240 https://doi.org/10.7326/0003-4819-105-1-67 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073691135
241 rdf:type schema:CreativeWork
 




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


...