Autologous hematopoietic cell transplantation during second or subsequent complete remission of acute promyelocytic leukemia: a prognostic factor analysis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2021-10-13

AUTHORS

Masamitsu Yanada, Shuichi Ota, Junichi Mukae, Miho Nara, Shinichi Kako, Akinori Nishikawa, Naoyuki Uchida, Masashi Sawa, Nobuaki Nakano, Makoto Onizuka, Yoshinobu Kanda, Tatsuo Ichinohe, Yoshiko Atsuta, Shingo Yano

ABSTRACT

Autologous hematopoietic cell transplantation (HCT) is an effective therapy for patients with relapsed acute promyelocytic leukemia (APL). However, it remains unclear whether this procedure is equally effective for certain groups of patients. To address this question, we analyzed 296 patients with APL who had undergone autologous HCT during second or subsequent complete remission (CR2+) between 2006 and 2019. Among them, 24 patients were ≥65 years old, and 17 underwent autologous HCT during third or subsequent CR. Of the 286 patients whose measurable residual disease (MRD) data were available, 21 showed detectable MRD. The 5-year probabilities of relapse-free survival (RFS), overall survival, relapse, and nonrelapse mortality for the entire cohort were 85%, 88%, 9%, and 6%, respectively. The multivariate analysis revealed that the duration of first CR ( < or ≥2 years) was the sole factor associated with RFS (P = 0.002), but even those with CR1 duration <2 years showed a 5-year RFS of 76%. The other factors such as age, disease status, and MRD status were not predictive for the survival outcomes. Our findings demonstrate very favorable long-term results when autologous HCT is conducted during CR2 + across the various subgroups of patients with relapsed APL. More... »

PAGES

78-82

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41409-021-01501-9

DOI

http://dx.doi.org/10.1038/s41409-021-01501-9

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1141841633

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34645925


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Clinical Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aged", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Hematopoietic Stem Cell Transplantation", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Humans", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Leukemia, Myeloid, Acute", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Leukemia, Promyelocytic, Acute", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Prognosis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Recurrence", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Remission Induction", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Retrospective Studies", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transplantation, Autologous", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Aichi Cancer Center, Nagoya, Japan", 
          "id": "http://www.grid.ac/institutes/grid.410800.d", 
          "name": [
            "Aichi Cancer Center, Nagoya, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yanada", 
        "givenName": "Masamitsu", 
        "id": "sg:person.01024604275.66", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024604275.66"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sapporo Hokuyu Hospital, Sapporo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.415262.6", 
          "name": [
            "Sapporo Hokuyu Hospital, Sapporo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ota", 
        "givenName": "Shuichi", 
        "id": "sg:person.011176077202.18", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011176077202.18"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.415479.a", 
          "name": [
            "Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mukae", 
        "givenName": "Junichi", 
        "id": "sg:person.016270257233.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016270257233.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Akita University Hospital, Akita, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411403.3", 
          "name": [
            "Akita University Hospital, Akita, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nara", 
        "givenName": "Miho", 
        "id": "sg:person.01332133076.46", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332133076.46"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jichi Medical University Saitama Medical Center, Saitama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.415020.2", 
          "name": [
            "Jichi Medical University Saitama Medical Center, Saitama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kako", 
        "givenName": "Shinichi", 
        "id": "sg:person.0675760325.07", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675760325.07"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Wakayama Medical University, Wakayama, Japan", 
          "id": "http://www.grid.ac/institutes/grid.412857.d", 
          "name": [
            "Wakayama Medical University, Wakayama, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nishikawa", 
        "givenName": "Akinori", 
        "id": "sg:person.01330563531.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01330563531.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Toranomon Hospital, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.410813.f", 
          "name": [
            "Toranomon Hospital, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Uchida", 
        "givenName": "Naoyuki", 
        "id": "sg:person.01243564276.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243564276.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Anjo Kosei Hospital, Anjo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.413779.f", 
          "name": [
            "Anjo Kosei Hospital, Anjo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sawa", 
        "givenName": "Masashi", 
        "id": "sg:person.0635043607.22", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635043607.22"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Imamura General Hospital, Kagoshima, Japan", 
          "id": "http://www.grid.ac/institutes/grid.513082.d", 
          "name": [
            "Imamura General Hospital, Kagoshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Nakano", 
        "givenName": "Nobuaki", 
        "id": "sg:person.01114313156.31", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114313156.31"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tokai University School of Medicine, Isehara, Japan", 
          "id": "http://www.grid.ac/institutes/grid.265061.6", 
          "name": [
            "Tokai University School of Medicine, Isehara, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Onizuka", 
        "givenName": "Makoto", 
        "id": "sg:person.01046262603.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046262603.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Jichi Medical University, Shimotsuke, Japan", 
          "id": "http://www.grid.ac/institutes/grid.410804.9", 
          "name": [
            "Jichi Medical University Saitama Medical Center, Saitama, Japan", 
            "Jichi Medical University, Shimotsuke, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kanda", 
        "givenName": "Yoshinobu", 
        "id": "sg:person.0617055140.49", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617055140.49"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan", 
          "id": "http://www.grid.ac/institutes/grid.257022.0", 
          "name": [
            "Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ichinohe", 
        "givenName": "Tatsuo", 
        "id": "sg:person.0623252373.33", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623252373.33"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Aichi Medical University, Nagakute, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411234.1", 
          "name": [
            "Japanese Data Center for Hematopoietic Cell Transplantation, Nagoya, Japan", 
            "Aichi Medical University, Nagakute, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Atsuta", 
        "givenName": "Yoshiko", 
        "id": "sg:person.01146754030.08", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146754030.08"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "The Jikei University School of Medicine, Tokyo, Japan", 
          "id": "http://www.grid.ac/institutes/grid.411898.d", 
          "name": [
            "The Jikei University School of Medicine, Tokyo, Japan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Yano", 
        "givenName": "Shingo", 
        "id": "sg:person.01265010246.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265010246.42"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/s41409-020-01162-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1133499188", 
          "https://doi.org/10.1038/s41409-020-01162-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12185-019-02759-y", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1121783554", 
          "https://doi.org/10.1007/s12185-019-02759-y"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/bmt.2016.96", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021791847", 
          "https://doi.org/10.1038/bmt.2016.96"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12185-015-1894-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036307316", 
          "https://doi.org/10.1007/s12185-015-1894-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/leu.2015.12", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039909268", 
          "https://doi.org/10.1038/leu.2015.12"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-10-13", 
    "datePublishedReg": "2021-10-13", 
    "description": "Autologous hematopoietic cell transplantation (HCT) is an effective therapy for patients with relapsed acute promyelocytic leukemia (APL). However, it remains unclear whether this procedure is equally effective for certain groups of patients. To address this question, we analyzed 296 patients with APL who had undergone autologous HCT during second or subsequent complete remission (CR2+) between 2006 and 2019. Among them, 24 patients were \u226565 years old, and 17 underwent autologous HCT during third or subsequent CR. Of the 286 patients whose measurable residual disease (MRD) data were available, 21 showed detectable MRD. The 5-year probabilities of relapse-free survival (RFS), overall survival, relapse, and nonrelapse mortality for the entire cohort were 85%, 88%, 9%, and 6%, respectively. The multivariate analysis revealed that the duration of first CR (\u2009<\u2009or \u22652 years) was the sole factor associated with RFS (P\u2009=\u20090.002), but even those with CR1 duration <2 years showed a 5-year RFS of 76%. The other factors such as age, disease status, and MRD status were not predictive for the survival outcomes. Our findings demonstrate very favorable long-term results when autologous HCT is conducted during CR2\u2009+\u2009across the various subgroups of patients with relapsed APL.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/s41409-021-01501-9", 
    "isAccessibleForFree": false, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.9338944", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1096890", 
        "issn": [
          "0268-3369", 
          "1476-5365"
        ], 
        "name": "Bone Marrow Transplantation", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "57"
      }
    ], 
    "keywords": [
      "autologous hematopoietic cell transplantation", 
      "hematopoietic cell transplantation", 
      "relapse-free survival", 
      "acute promyelocytic leukemia", 
      "subsequent complete remission", 
      "complete remission", 
      "cell transplantation", 
      "promyelocytic leukemia", 
      "favorable long-term results", 
      "prognostic factor analysis", 
      "subgroup of patients", 
      "long-term results", 
      "nonrelapse mortality", 
      "CR1 duration", 
      "MRD status", 
      "overall survival", 
      "entire cohort", 
      "survival outcomes", 
      "detectable MRD", 
      "effective therapy", 
      "first CR", 
      "patients", 
      "disease status", 
      "multivariate analysis", 
      "subsequent CR", 
      "remission", 
      "transplantation", 
      "leukemia", 
      "survival", 
      "sole factor", 
      "duration", 
      "disease data", 
      "status", 
      "therapy", 
      "cohort", 
      "years", 
      "mortality", 
      "MRD", 
      "age", 
      "outcomes", 
      "subgroups", 
      "factors", 
      "certain groups", 
      "factor analysis", 
      "group", 
      "findings", 
      "procedure", 
      "analysis", 
      "CR2", 
      "data", 
      "results", 
      "questions", 
      "Cr", 
      "probability"
    ], 
    "name": "Autologous hematopoietic cell transplantation during second or subsequent complete remission of acute promyelocytic leukemia: a prognostic factor analysis", 
    "pagination": "78-82", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1141841633"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41409-021-01501-9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34645925"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41409-021-01501-9", 
      "https://app.dimensions.ai/details/publication/pub.1141841633"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-08-04T17:12", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220804/entities/gbq_results/article/article_909.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/s41409-021-01501-9"
  }
]
 

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/s41409-021-01501-9'

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/s41409-021-01501-9'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41409-021-01501-9'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41409-021-01501-9'


 

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

309 TRIPLES      21 PREDICATES      94 URIs      81 LITERALS      17 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41409-021-01501-9 schema:about N1158bc9ce1204df2a65a4401fd8e8097
2 N1d943e579abd4fd584273aedd55b6cf8
3 N527938fe303c4c599ebb079ca4778b17
4 N657dc8f038c8411fb0d217256bafb4b0
5 N6e13c42c3d014cc29b472005727f6615
6 N825bc936dd3f4f06b329bd114857ef76
7 N916d21ac10f9431fb1d8c10ea62297a5
8 Na7948bdc8a8d42e78981eaf82d34592c
9 Ncb5d5badc17b485da8e9616d0d65a30c
10 Nebd63b066d384687b33f3e49bae6f6f0
11 anzsrc-for:11
12 anzsrc-for:1103
13 schema:author N2a277804f7ac4ae88e8e711418825454
14 schema:citation sg:pub.10.1007/s12185-015-1894-x
15 sg:pub.10.1007/s12185-019-02759-y
16 sg:pub.10.1038/bmt.2016.96
17 sg:pub.10.1038/leu.2015.12
18 sg:pub.10.1038/s41409-020-01162-0
19 schema:datePublished 2021-10-13
20 schema:datePublishedReg 2021-10-13
21 schema:description Autologous hematopoietic cell transplantation (HCT) is an effective therapy for patients with relapsed acute promyelocytic leukemia (APL). However, it remains unclear whether this procedure is equally effective for certain groups of patients. To address this question, we analyzed 296 patients with APL who had undergone autologous HCT during second or subsequent complete remission (CR2+) between 2006 and 2019. Among them, 24 patients were ≥65 years old, and 17 underwent autologous HCT during third or subsequent CR. Of the 286 patients whose measurable residual disease (MRD) data were available, 21 showed detectable MRD. The 5-year probabilities of relapse-free survival (RFS), overall survival, relapse, and nonrelapse mortality for the entire cohort were 85%, 88%, 9%, and 6%, respectively. The multivariate analysis revealed that the duration of first CR ( < or ≥2 years) was the sole factor associated with RFS (P = 0.002), but even those with CR1 duration <2 years showed a 5-year RFS of 76%. The other factors such as age, disease status, and MRD status were not predictive for the survival outcomes. Our findings demonstrate very favorable long-term results when autologous HCT is conducted during CR2 + across the various subgroups of patients with relapsed APL.
22 schema:genre article
23 schema:isAccessibleForFree false
24 schema:isPartOf N0d8c55a2eac64e69b6bbd972fadcef3b
25 Nde5aa61fa012495aa1d134c3893b0c20
26 sg:journal.1096890
27 schema:keywords CR1 duration
28 CR2
29 Cr
30 MRD
31 MRD status
32 acute promyelocytic leukemia
33 age
34 analysis
35 autologous hematopoietic cell transplantation
36 cell transplantation
37 certain groups
38 cohort
39 complete remission
40 data
41 detectable MRD
42 disease data
43 disease status
44 duration
45 effective therapy
46 entire cohort
47 factor analysis
48 factors
49 favorable long-term results
50 findings
51 first CR
52 group
53 hematopoietic cell transplantation
54 leukemia
55 long-term results
56 mortality
57 multivariate analysis
58 nonrelapse mortality
59 outcomes
60 overall survival
61 patients
62 probability
63 procedure
64 prognostic factor analysis
65 promyelocytic leukemia
66 questions
67 relapse-free survival
68 remission
69 results
70 sole factor
71 status
72 subgroup of patients
73 subgroups
74 subsequent CR
75 subsequent complete remission
76 survival
77 survival outcomes
78 therapy
79 transplantation
80 years
81 schema:name Autologous hematopoietic cell transplantation during second or subsequent complete remission of acute promyelocytic leukemia: a prognostic factor analysis
82 schema:pagination 78-82
83 schema:productId N104248243656493cbe9897145edc6214
84 Na9f037b45f704b198a7e6e1dadaaf1f4
85 Nb51701215126428d9ac9740cb7f3d455
86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1141841633
87 https://doi.org/10.1038/s41409-021-01501-9
88 schema:sdDatePublished 2022-08-04T17:12
89 schema:sdLicense https://scigraph.springernature.com/explorer/license/
90 schema:sdPublisher Nf5c13d132ed240c887ad46530e3360b2
91 schema:url https://doi.org/10.1038/s41409-021-01501-9
92 sgo:license sg:explorer/license/
93 sgo:sdDataset articles
94 rdf:type schema:ScholarlyArticle
95 N0d8c55a2eac64e69b6bbd972fadcef3b schema:volumeNumber 57
96 rdf:type schema:PublicationVolume
97 N104248243656493cbe9897145edc6214 schema:name pubmed_id
98 schema:value 34645925
99 rdf:type schema:PropertyValue
100 N1158bc9ce1204df2a65a4401fd8e8097 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
101 schema:name Transplantation, Autologous
102 rdf:type schema:DefinedTerm
103 N1d943e579abd4fd584273aedd55b6cf8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
104 schema:name Retrospective Studies
105 rdf:type schema:DefinedTerm
106 N2a277804f7ac4ae88e8e711418825454 rdf:first sg:person.01024604275.66
107 rdf:rest Nb0d5d95831454f7896e615334600ce86
108 N4c4c100e483a4e71b691dbdbf18db5b4 rdf:first sg:person.01332133076.46
109 rdf:rest Na04fd2fb887f4ae1900d2921f9fa54ec
110 N527938fe303c4c599ebb079ca4778b17 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
111 schema:name Remission Induction
112 rdf:type schema:DefinedTerm
113 N5371747a41a34773ae1e79351fe60212 rdf:first sg:person.0623252373.33
114 rdf:rest Nad277627257e4c0fa5ef435ea545622c
115 N657dc8f038c8411fb0d217256bafb4b0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
116 schema:name Leukemia, Promyelocytic, Acute
117 rdf:type schema:DefinedTerm
118 N6e13c42c3d014cc29b472005727f6615 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
119 schema:name Prognosis
120 rdf:type schema:DefinedTerm
121 N6e2897e6294641c7a0fde1b00d0ad993 rdf:first sg:person.01243564276.76
122 rdf:rest N6f189a2f9e2b4716a14b425e89300bf1
123 N6f189a2f9e2b4716a14b425e89300bf1 rdf:first sg:person.0635043607.22
124 rdf:rest Na98d11b64b3343baae48986ae0226c31
125 N733442879c764d898c11241ceb695910 rdf:first sg:person.01330563531.27
126 rdf:rest N6e2897e6294641c7a0fde1b00d0ad993
127 N825bc936dd3f4f06b329bd114857ef76 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Recurrence
129 rdf:type schema:DefinedTerm
130 N87d9efd653fb4d10af1f31749682989b rdf:first sg:person.01265010246.42
131 rdf:rest rdf:nil
132 N916d21ac10f9431fb1d8c10ea62297a5 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Aged
134 rdf:type schema:DefinedTerm
135 Na04fd2fb887f4ae1900d2921f9fa54ec rdf:first sg:person.0675760325.07
136 rdf:rest N733442879c764d898c11241ceb695910
137 Na4e4af0ba9234ebebc32e6194c7b6524 rdf:first sg:person.016270257233.06
138 rdf:rest N4c4c100e483a4e71b691dbdbf18db5b4
139 Na7948bdc8a8d42e78981eaf82d34592c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
140 schema:name Humans
141 rdf:type schema:DefinedTerm
142 Na98d11b64b3343baae48986ae0226c31 rdf:first sg:person.01114313156.31
143 rdf:rest Neccdbd9f6da64d5bad27d9281c2a9019
144 Na9f037b45f704b198a7e6e1dadaaf1f4 schema:name doi
145 schema:value 10.1038/s41409-021-01501-9
146 rdf:type schema:PropertyValue
147 Nad277627257e4c0fa5ef435ea545622c rdf:first sg:person.01146754030.08
148 rdf:rest N87d9efd653fb4d10af1f31749682989b
149 Nb0d5d95831454f7896e615334600ce86 rdf:first sg:person.011176077202.18
150 rdf:rest Na4e4af0ba9234ebebc32e6194c7b6524
151 Nb51701215126428d9ac9740cb7f3d455 schema:name dimensions_id
152 schema:value pub.1141841633
153 rdf:type schema:PropertyValue
154 Ncb5d5badc17b485da8e9616d0d65a30c schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
155 schema:name Hematopoietic Stem Cell Transplantation
156 rdf:type schema:DefinedTerm
157 Nde5aa61fa012495aa1d134c3893b0c20 schema:issueNumber 1
158 rdf:type schema:PublicationIssue
159 Ne96eb9844ebd471591639ccfb0140a67 rdf:first sg:person.0617055140.49
160 rdf:rest N5371747a41a34773ae1e79351fe60212
161 Nebd63b066d384687b33f3e49bae6f6f0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
162 schema:name Leukemia, Myeloid, Acute
163 rdf:type schema:DefinedTerm
164 Neccdbd9f6da64d5bad27d9281c2a9019 rdf:first sg:person.01046262603.08
165 rdf:rest Ne96eb9844ebd471591639ccfb0140a67
166 Nf5c13d132ed240c887ad46530e3360b2 schema:name Springer Nature - SN SciGraph project
167 rdf:type schema:Organization
168 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
169 schema:name Medical and Health Sciences
170 rdf:type schema:DefinedTerm
171 anzsrc-for:1103 schema:inDefinedTermSet anzsrc-for:
172 schema:name Clinical Sciences
173 rdf:type schema:DefinedTerm
174 sg:grant.9338944 http://pending.schema.org/fundedItem sg:pub.10.1038/s41409-021-01501-9
175 rdf:type schema:MonetaryGrant
176 sg:journal.1096890 schema:issn 0268-3369
177 1476-5365
178 schema:name Bone Marrow Transplantation
179 schema:publisher Springer Nature
180 rdf:type schema:Periodical
181 sg:person.01024604275.66 schema:affiliation grid-institutes:grid.410800.d
182 schema:familyName Yanada
183 schema:givenName Masamitsu
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01024604275.66
185 rdf:type schema:Person
186 sg:person.01046262603.08 schema:affiliation grid-institutes:grid.265061.6
187 schema:familyName Onizuka
188 schema:givenName Makoto
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01046262603.08
190 rdf:type schema:Person
191 sg:person.01114313156.31 schema:affiliation grid-institutes:grid.513082.d
192 schema:familyName Nakano
193 schema:givenName Nobuaki
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01114313156.31
195 rdf:type schema:Person
196 sg:person.011176077202.18 schema:affiliation grid-institutes:grid.415262.6
197 schema:familyName Ota
198 schema:givenName Shuichi
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011176077202.18
200 rdf:type schema:Person
201 sg:person.01146754030.08 schema:affiliation grid-institutes:grid.411234.1
202 schema:familyName Atsuta
203 schema:givenName Yoshiko
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01146754030.08
205 rdf:type schema:Person
206 sg:person.01243564276.76 schema:affiliation grid-institutes:grid.410813.f
207 schema:familyName Uchida
208 schema:givenName Naoyuki
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01243564276.76
210 rdf:type schema:Person
211 sg:person.01265010246.42 schema:affiliation grid-institutes:grid.411898.d
212 schema:familyName Yano
213 schema:givenName Shingo
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01265010246.42
215 rdf:type schema:Person
216 sg:person.01330563531.27 schema:affiliation grid-institutes:grid.412857.d
217 schema:familyName Nishikawa
218 schema:givenName Akinori
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01330563531.27
220 rdf:type schema:Person
221 sg:person.01332133076.46 schema:affiliation grid-institutes:grid.411403.3
222 schema:familyName Nara
223 schema:givenName Miho
224 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01332133076.46
225 rdf:type schema:Person
226 sg:person.016270257233.06 schema:affiliation grid-institutes:grid.415479.a
227 schema:familyName Mukae
228 schema:givenName Junichi
229 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016270257233.06
230 rdf:type schema:Person
231 sg:person.0617055140.49 schema:affiliation grid-institutes:grid.410804.9
232 schema:familyName Kanda
233 schema:givenName Yoshinobu
234 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617055140.49
235 rdf:type schema:Person
236 sg:person.0623252373.33 schema:affiliation grid-institutes:grid.257022.0
237 schema:familyName Ichinohe
238 schema:givenName Tatsuo
239 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623252373.33
240 rdf:type schema:Person
241 sg:person.0635043607.22 schema:affiliation grid-institutes:grid.413779.f
242 schema:familyName Sawa
243 schema:givenName Masashi
244 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0635043607.22
245 rdf:type schema:Person
246 sg:person.0675760325.07 schema:affiliation grid-institutes:grid.415020.2
247 schema:familyName Kako
248 schema:givenName Shinichi
249 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675760325.07
250 rdf:type schema:Person
251 sg:pub.10.1007/s12185-015-1894-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1036307316
252 https://doi.org/10.1007/s12185-015-1894-x
253 rdf:type schema:CreativeWork
254 sg:pub.10.1007/s12185-019-02759-y schema:sameAs https://app.dimensions.ai/details/publication/pub.1121783554
255 https://doi.org/10.1007/s12185-019-02759-y
256 rdf:type schema:CreativeWork
257 sg:pub.10.1038/bmt.2016.96 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021791847
258 https://doi.org/10.1038/bmt.2016.96
259 rdf:type schema:CreativeWork
260 sg:pub.10.1038/leu.2015.12 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039909268
261 https://doi.org/10.1038/leu.2015.12
262 rdf:type schema:CreativeWork
263 sg:pub.10.1038/s41409-020-01162-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1133499188
264 https://doi.org/10.1038/s41409-020-01162-0
265 rdf:type schema:CreativeWork
266 grid-institutes:grid.257022.0 schema:alternateName Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
267 schema:name Research Institute for Radiation Biology and Medicine, Hiroshima University, Hiroshima, Japan
268 rdf:type schema:Organization
269 grid-institutes:grid.265061.6 schema:alternateName Tokai University School of Medicine, Isehara, Japan
270 schema:name Tokai University School of Medicine, Isehara, Japan
271 rdf:type schema:Organization
272 grid-institutes:grid.410800.d schema:alternateName Aichi Cancer Center, Nagoya, Japan
273 schema:name Aichi Cancer Center, Nagoya, Japan
274 rdf:type schema:Organization
275 grid-institutes:grid.410804.9 schema:alternateName Jichi Medical University, Shimotsuke, Japan
276 schema:name Jichi Medical University Saitama Medical Center, Saitama, Japan
277 Jichi Medical University, Shimotsuke, Japan
278 rdf:type schema:Organization
279 grid-institutes:grid.410813.f schema:alternateName Toranomon Hospital, Tokyo, Japan
280 schema:name Toranomon Hospital, Tokyo, Japan
281 rdf:type schema:Organization
282 grid-institutes:grid.411234.1 schema:alternateName Aichi Medical University, Nagakute, Japan
283 schema:name Aichi Medical University, Nagakute, Japan
284 Japanese Data Center for Hematopoietic Cell Transplantation, Nagoya, Japan
285 rdf:type schema:Organization
286 grid-institutes:grid.411403.3 schema:alternateName Akita University Hospital, Akita, Japan
287 schema:name Akita University Hospital, Akita, Japan
288 rdf:type schema:Organization
289 grid-institutes:grid.411898.d schema:alternateName The Jikei University School of Medicine, Tokyo, Japan
290 schema:name The Jikei University School of Medicine, Tokyo, Japan
291 rdf:type schema:Organization
292 grid-institutes:grid.412857.d schema:alternateName Wakayama Medical University, Wakayama, Japan
293 schema:name Wakayama Medical University, Wakayama, Japan
294 rdf:type schema:Organization
295 grid-institutes:grid.413779.f schema:alternateName Anjo Kosei Hospital, Anjo, Japan
296 schema:name Anjo Kosei Hospital, Anjo, Japan
297 rdf:type schema:Organization
298 grid-institutes:grid.415020.2 schema:alternateName Jichi Medical University Saitama Medical Center, Saitama, Japan
299 schema:name Jichi Medical University Saitama Medical Center, Saitama, Japan
300 rdf:type schema:Organization
301 grid-institutes:grid.415262.6 schema:alternateName Sapporo Hokuyu Hospital, Sapporo, Japan
302 schema:name Sapporo Hokuyu Hospital, Sapporo, Japan
303 rdf:type schema:Organization
304 grid-institutes:grid.415479.a schema:alternateName Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
305 schema:name Tokyo Metropolitan Cancer and Infectious Diseases Center, Komagome Hospital, Tokyo, Japan
306 rdf:type schema:Organization
307 grid-institutes:grid.513082.d schema:alternateName Imamura General Hospital, Kagoshima, Japan
308 schema:name Imamura General Hospital, Kagoshima, Japan
309 rdf:type schema:Organization
 




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


...