Gut microbiome and CAR-T therapy View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2019-11-19

AUTHORS

Muhammad Bilal Abid, Nirav N. Shah, Theresa C. Maatman, Parameswaran N. Hari

ABSTRACT

Considerable progress has been made in cancer therapeutics recently with targeted strategies that are efficacious and less toxic. Immunotherapy and chimeric antigen receptor (CAR) T-cells are increasingly being evaluated in a variety of tumors in the relapsed/refractory as well as frontline disease settings, predominantly in hematologic malignancies (HM). Despite impressive outcomes in select patients, there remains significant heterogeneity in clinical response to CAR T-cells. The gut microbiome has emerged as one of the key host factors that could potentially be modulated to enhance responses to immunotherapy. Several recent human studies receiving immunotherapy showed a significantly superior response and survival in patients with the more diverse gut microbiome. Currently, it is unknown if gut microbiota modulates anti-tumor responses to CAR T-cells. Based on molecular and immunological understanding, we hypothesize that strategically manipulating gut microbiota may enhance responses to CAR T-cells. In this review, we further discuss resistance mechanisms to CAR T-cells in HM, potential approaches to overcome resistance by harnessing gut microbiota and other related novel strategies. More... »

PAGES

31

References to SciGraph publications

  • 2015-07-31. Combination cancer immunotherapy and new immunomodulatory targets in NATURE REVIEWS DRUG DISCOVERY
  • 2018-04-13. The revving up of CARs in GENE THERAPY
  • 2018-04-10. The gut microbiota influences anticancer immunosurveillance and general health in NATURE REVIEWS CLINICAL ONCOLOGY
  • 2018-11-27. Universal CARs, universal T cells, and universal CAR T cells in JOURNAL OF HEMATOLOGY & ONCOLOGY
  • 2008-07. How regulatory T cells work in NATURE REVIEWS IMMUNOLOGY
  • 2017-04-07. CRISPR/Cas9-mediated PD-1 disruption enhances anti-tumor efficacy of human chimeric antigen receptor T cells in SCIENTIFIC REPORTS
  • 2018-04-30. Determinants of response and resistance to CD19 chimeric antigen receptor (CAR) T cell therapy of chronic lymphocytic leukemia in NATURE MEDICINE
  • 2017-05-05. Optimizing methods and dodging pitfalls in microbiome research in MICROBIOME
  • 2015-09-15. Baseline circulating IL-17 predicts toxicity while TGF-β1 and IL-10 are prognostic of relapse in ipilimumab neoadjuvant therapy of melanoma in JOURNAL FOR IMMUNOTHERAPY OF CANCER
  • 2017-02-22. Targeting a CAR to the TRAC locus with CRISPR/Cas9 enhances tumour rejection in NATURE
  • 2017-01-25. Frequency of regulatory T cells determines the outcome of the T-cell-engaging antibody blinatumomab in patients with B-precursor ALL in LEUKEMIA
  • 2017-06-17. CRISPR-Cas9 mediated LAG-3 disruption in CAR-T cells in FRONTIERS OF MEDICINE
  • 2018-03-27. Gut microbiome modulates efficacy of immune checkpoint inhibitors in JOURNAL OF HEMATOLOGY & ONCOLOGY
  • 2018-07-04. T cell senescence and CAR-T cell exhaustion in hematological malignancies in JOURNAL OF HEMATOLOGY & ONCOLOGY
  • 2019-04-02. Could the menagerie of the gut microbiome really cure cancer? Hope or hype in JOURNAL FOR IMMUNOTHERAPY OF CANCER
  • 2017-01-16. Inflammatory bowel disease and cancer response due to anti-CTLA-4: is it in the flora? in SEMINARS IN IMMUNOPATHOLOGY
  • 2019-01-23. A defined commensal consortium elicits CD8 T cells and anti-cancer immunity in NATURE
  • 2019-09-02. Probiotics in health and disease: fooling Mother Nature? in INFECTION
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1186/s40164-019-0155-8

    DOI

    http://dx.doi.org/10.1186/s40164-019-0155-8

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1122707745

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/31827982


    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/2008/1107", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Immunology", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "alternateName": "Division of Hematology/Oncology, Medical College of Wisconsin (MCW), Milwaukee, WI, USA", 
              "id": "http://www.grid.ac/institutes/grid.30760.32", 
              "name": [
                "Division of Infectious Diseases, Medical College of Wisconsin (MCW), Hub for Collaborative Medicine, 8701 Watertown Plank Road, 53226, Milwaukee, WI, USA", 
                "Division of Hematology/Oncology, Medical College of Wisconsin (MCW), Milwaukee, WI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Abid", 
            "givenName": "Muhammad Bilal", 
            "id": "sg:person.0774160325.41", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774160325.41"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Hematology/Oncology, Medical College of Wisconsin (MCW), Milwaukee, WI, USA", 
              "id": "http://www.grid.ac/institutes/grid.30760.32", 
              "name": [
                "Division of Hematology/Oncology, Medical College of Wisconsin (MCW), Milwaukee, WI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Shah", 
            "givenName": "Nirav N.", 
            "id": "sg:person.015270014615.39", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015270014615.39"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Internal Medicine, Medical College of Wisconsin (MCW), Milwaukee, WI, USA", 
              "id": "http://www.grid.ac/institutes/grid.30760.32", 
              "name": [
                "Division of Internal Medicine, Medical College of Wisconsin (MCW), Milwaukee, WI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Maatman", 
            "givenName": "Theresa C.", 
            "id": "sg:person.07450105717.21", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07450105717.21"
            ], 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "alternateName": "Division of Hematology/Oncology, Medical College of Wisconsin (MCW), Milwaukee, WI, USA", 
              "id": "http://www.grid.ac/institutes/grid.30760.32", 
              "name": [
                "Division of Hematology/Oncology, Medical College of Wisconsin (MCW), Milwaukee, WI, USA"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Hari", 
            "givenName": "Parameswaran N.", 
            "id": "sg:person.01170403141.13", 
            "sameAs": [
              "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170403141.13"
            ], 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/s41571-018-0006-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103195928", 
              "https://doi.org/10.1038/s41571-018-0006-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13045-018-0629-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1105304570", 
              "https://doi.org/10.1186/s13045-018-0629-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s00281-016-0613-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1010047627", 
              "https://doi.org/10.1007/s00281-016-0613-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41434-018-0015-x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103249769", 
              "https://doi.org/10.1038/s41434-018-0015-x"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40425-019-0561-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1113179542", 
              "https://doi.org/10.1186/s40425-019-0561-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s11684-017-0543-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1086069765", 
              "https://doi.org/10.1007/s11684-017-0543-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41598-017-00462-8", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1084537841", 
              "https://doi.org/10.1038/s41598-017-00462-8"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s15010-019-01351-0", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1120766141", 
              "https://doi.org/10.1007/s15010-019-01351-0"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nature21405", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083856454", 
              "https://doi.org/10.1038/nature21405"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/leu.2017.41", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1074215413", 
              "https://doi.org/10.1038/leu.2017.41"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nrd4591", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016866071", 
              "https://doi.org/10.1038/nrd4591"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41591-018-0010-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1103686011", 
              "https://doi.org/10.1038/s41591-018-0010-1"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13045-018-0592-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101780825", 
              "https://doi.org/10.1186/s13045-018-0592-6"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/nri2343", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045180551", 
              "https://doi.org/10.1038/nri2343"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40168-017-0267-5", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085185824", 
              "https://doi.org/10.1186/s40168-017-0267-5"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s13045-018-0677-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1110232149", 
              "https://doi.org/10.1186/s13045-018-0677-2"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/s41586-019-0878-z", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1111628922", 
              "https://doi.org/10.1038/s41586-019-0878-z"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1186/s40425-015-0081-1", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036424463", 
              "https://doi.org/10.1186/s40425-015-0081-1"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-11-19", 
        "datePublishedReg": "2019-11-19", 
        "description": "Considerable progress has been made in cancer therapeutics recently with targeted strategies that are efficacious and less toxic. Immunotherapy and chimeric antigen receptor (CAR) T-cells are increasingly being evaluated in a variety of tumors in the relapsed/refractory as well as frontline disease settings, predominantly in hematologic malignancies (HM). Despite impressive outcomes in select patients, there remains significant heterogeneity in clinical response to CAR T-cells. The gut microbiome has emerged as one of the key host factors that could potentially be modulated to enhance responses to immunotherapy. Several recent human studies receiving immunotherapy showed a significantly superior response and survival in patients with the\u00a0more diverse gut microbiome. Currently, it is unknown if gut microbiota modulates anti-tumor responses to CAR T-cells. Based on molecular and immunological understanding, we hypothesize that strategically manipulating gut microbiota may enhance responses to CAR T-cells. In this review, we further discuss resistance mechanisms to CAR T-cells in HM, potential approaches to overcome resistance by harnessing gut microbiota and other related novel strategies.", 
        "genre": "article", 
        "id": "sg:pub.10.1186/s40164-019-0155-8", 
        "isAccessibleForFree": true, 
        "isPartOf": [
          {
            "id": "sg:journal.1047344", 
            "issn": [
              "2162-3619"
            ], 
            "name": "Experimental Hematology & Oncology", 
            "publisher": "Springer Nature", 
            "type": "Periodical"
          }, 
          {
            "issueNumber": "1", 
            "type": "PublicationIssue"
          }, 
          {
            "type": "PublicationVolume", 
            "volumeNumber": "8"
          }
        ], 
        "keywords": [
          "CAR T cells", 
          "T cells", 
          "hematologic malignancies", 
          "gut microbiota", 
          "gut microbiome", 
          "chimeric antigen receptor T cells", 
          "antigen receptor T cells", 
          "anti-tumor response", 
          "receptor T cells", 
          "CAR-T therapy", 
          "recent human studies", 
          "variety of tumors", 
          "key host factors", 
          "select patients", 
          "clinical response", 
          "immunological understanding", 
          "diverse gut microbiome", 
          "human studies", 
          "disease settings", 
          "immunotherapy", 
          "host factors", 
          "significant heterogeneity", 
          "patients", 
          "cancer therapeutics", 
          "microbiota", 
          "resistance mechanisms", 
          "impressive outcomes", 
          "microbiome", 
          "superior response", 
          "response", 
          "novel strategy", 
          "malignancy", 
          "therapy", 
          "tumors", 
          "survival", 
          "outcomes", 
          "potential approach", 
          "therapeutics", 
          "considerable progress", 
          "review", 
          "setting", 
          "factors", 
          "strategies", 
          "study", 
          "resistance", 
          "heterogeneity", 
          "mechanism", 
          "progress", 
          "variety", 
          "understanding", 
          "approach"
        ], 
        "name": "Gut microbiome and CAR-T therapy", 
        "pagination": "31", 
        "productId": [
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1122707745"
            ]
          }, 
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1186/s40164-019-0155-8"
            ]
          }, 
          {
            "name": "pubmed_id", 
            "type": "PropertyValue", 
            "value": [
              "31827982"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1186/s40164-019-0155-8", 
          "https://app.dimensions.ai/details/publication/pub.1122707745"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2022-10-01T06:46", 
        "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
        "sdPublisher": {
          "name": "Springer Nature - SN SciGraph project", 
          "type": "Organization"
        }, 
        "sdSource": "s3://com-springernature-scigraph/baseset/20221001/entities/gbq_results/article/article_818.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://doi.org/10.1186/s40164-019-0155-8"
      }
    ]
     

    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.10.1186/s40164-019-0155-8'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s40164-019-0155-8'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s40164-019-0155-8'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s40164-019-0155-8'


     

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

    207 TRIPLES      21 PREDICATES      94 URIs      68 LITERALS      7 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1186/s40164-019-0155-8 schema:about anzsrc-for:11
    2 anzsrc-for:1107
    3 schema:author Ndea4b838f54242cfb6ce775cceae4c43
    4 schema:citation sg:pub.10.1007/s00281-016-0613-x
    5 sg:pub.10.1007/s11684-017-0543-6
    6 sg:pub.10.1007/s15010-019-01351-0
    7 sg:pub.10.1038/leu.2017.41
    8 sg:pub.10.1038/nature21405
    9 sg:pub.10.1038/nrd4591
    10 sg:pub.10.1038/nri2343
    11 sg:pub.10.1038/s41434-018-0015-x
    12 sg:pub.10.1038/s41571-018-0006-2
    13 sg:pub.10.1038/s41586-019-0878-z
    14 sg:pub.10.1038/s41591-018-0010-1
    15 sg:pub.10.1038/s41598-017-00462-8
    16 sg:pub.10.1186/s13045-018-0592-6
    17 sg:pub.10.1186/s13045-018-0629-x
    18 sg:pub.10.1186/s13045-018-0677-2
    19 sg:pub.10.1186/s40168-017-0267-5
    20 sg:pub.10.1186/s40425-015-0081-1
    21 sg:pub.10.1186/s40425-019-0561-9
    22 schema:datePublished 2019-11-19
    23 schema:datePublishedReg 2019-11-19
    24 schema:description Considerable progress has been made in cancer therapeutics recently with targeted strategies that are efficacious and less toxic. Immunotherapy and chimeric antigen receptor (CAR) T-cells are increasingly being evaluated in a variety of tumors in the relapsed/refractory as well as frontline disease settings, predominantly in hematologic malignancies (HM). Despite impressive outcomes in select patients, there remains significant heterogeneity in clinical response to CAR T-cells. The gut microbiome has emerged as one of the key host factors that could potentially be modulated to enhance responses to immunotherapy. Several recent human studies receiving immunotherapy showed a significantly superior response and survival in patients with the more diverse gut microbiome. Currently, it is unknown if gut microbiota modulates anti-tumor responses to CAR T-cells. Based on molecular and immunological understanding, we hypothesize that strategically manipulating gut microbiota may enhance responses to CAR T-cells. In this review, we further discuss resistance mechanisms to CAR T-cells in HM, potential approaches to overcome resistance by harnessing gut microbiota and other related novel strategies.
    25 schema:genre article
    26 schema:isAccessibleForFree true
    27 schema:isPartOf Nbdde7f9606b84bf284efda25d58d8580
    28 Ncd3e2263696a4584a58cca116584db89
    29 sg:journal.1047344
    30 schema:keywords CAR T cells
    31 CAR-T therapy
    32 T cells
    33 anti-tumor response
    34 antigen receptor T cells
    35 approach
    36 cancer therapeutics
    37 chimeric antigen receptor T cells
    38 clinical response
    39 considerable progress
    40 disease settings
    41 diverse gut microbiome
    42 factors
    43 gut microbiome
    44 gut microbiota
    45 hematologic malignancies
    46 heterogeneity
    47 host factors
    48 human studies
    49 immunological understanding
    50 immunotherapy
    51 impressive outcomes
    52 key host factors
    53 malignancy
    54 mechanism
    55 microbiome
    56 microbiota
    57 novel strategy
    58 outcomes
    59 patients
    60 potential approach
    61 progress
    62 recent human studies
    63 receptor T cells
    64 resistance
    65 resistance mechanisms
    66 response
    67 review
    68 select patients
    69 setting
    70 significant heterogeneity
    71 strategies
    72 study
    73 superior response
    74 survival
    75 therapeutics
    76 therapy
    77 tumors
    78 understanding
    79 variety
    80 variety of tumors
    81 schema:name Gut microbiome and CAR-T therapy
    82 schema:pagination 31
    83 schema:productId Nd99387082a5b4c91abdbc2e19e3bd000
    84 Nda6e7d1998b94c2da321fb49bd4b1237
    85 Nfe1105be4c5e493f9d7a665cc52a0def
    86 schema:sameAs https://app.dimensions.ai/details/publication/pub.1122707745
    87 https://doi.org/10.1186/s40164-019-0155-8
    88 schema:sdDatePublished 2022-10-01T06:46
    89 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    90 schema:sdPublisher N84a9ab03653e4ab6a89648666a97fc6e
    91 schema:url https://doi.org/10.1186/s40164-019-0155-8
    92 sgo:license sg:explorer/license/
    93 sgo:sdDataset articles
    94 rdf:type schema:ScholarlyArticle
    95 N6464e72cc3f341ba922cf17149ce2664 rdf:first sg:person.07450105717.21
    96 rdf:rest Nc93990a9847b4f7aaa0dd5bf3d156180
    97 N84a9ab03653e4ab6a89648666a97fc6e schema:name Springer Nature - SN SciGraph project
    98 rdf:type schema:Organization
    99 Nbdde7f9606b84bf284efda25d58d8580 schema:volumeNumber 8
    100 rdf:type schema:PublicationVolume
    101 Nc93990a9847b4f7aaa0dd5bf3d156180 rdf:first sg:person.01170403141.13
    102 rdf:rest rdf:nil
    103 Ncd3e2263696a4584a58cca116584db89 schema:issueNumber 1
    104 rdf:type schema:PublicationIssue
    105 Nd99387082a5b4c91abdbc2e19e3bd000 schema:name dimensions_id
    106 schema:value pub.1122707745
    107 rdf:type schema:PropertyValue
    108 Nda6e7d1998b94c2da321fb49bd4b1237 schema:name pubmed_id
    109 schema:value 31827982
    110 rdf:type schema:PropertyValue
    111 Ndea4b838f54242cfb6ce775cceae4c43 rdf:first sg:person.0774160325.41
    112 rdf:rest Ne709bccac8cc44b68a88e53fe578eed2
    113 Ne709bccac8cc44b68a88e53fe578eed2 rdf:first sg:person.015270014615.39
    114 rdf:rest N6464e72cc3f341ba922cf17149ce2664
    115 Nfe1105be4c5e493f9d7a665cc52a0def schema:name doi
    116 schema:value 10.1186/s40164-019-0155-8
    117 rdf:type schema:PropertyValue
    118 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    119 schema:name Medical and Health Sciences
    120 rdf:type schema:DefinedTerm
    121 anzsrc-for:1107 schema:inDefinedTermSet anzsrc-for:
    122 schema:name Immunology
    123 rdf:type schema:DefinedTerm
    124 sg:journal.1047344 schema:issn 2162-3619
    125 schema:name Experimental Hematology & Oncology
    126 schema:publisher Springer Nature
    127 rdf:type schema:Periodical
    128 sg:person.01170403141.13 schema:affiliation grid-institutes:grid.30760.32
    129 schema:familyName Hari
    130 schema:givenName Parameswaran N.
    131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01170403141.13
    132 rdf:type schema:Person
    133 sg:person.015270014615.39 schema:affiliation grid-institutes:grid.30760.32
    134 schema:familyName Shah
    135 schema:givenName Nirav N.
    136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.015270014615.39
    137 rdf:type schema:Person
    138 sg:person.07450105717.21 schema:affiliation grid-institutes:grid.30760.32
    139 schema:familyName Maatman
    140 schema:givenName Theresa C.
    141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07450105717.21
    142 rdf:type schema:Person
    143 sg:person.0774160325.41 schema:affiliation grid-institutes:grid.30760.32
    144 schema:familyName Abid
    145 schema:givenName Muhammad Bilal
    146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0774160325.41
    147 rdf:type schema:Person
    148 sg:pub.10.1007/s00281-016-0613-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1010047627
    149 https://doi.org/10.1007/s00281-016-0613-x
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1007/s11684-017-0543-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086069765
    152 https://doi.org/10.1007/s11684-017-0543-6
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1007/s15010-019-01351-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1120766141
    155 https://doi.org/10.1007/s15010-019-01351-0
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1038/leu.2017.41 schema:sameAs https://app.dimensions.ai/details/publication/pub.1074215413
    158 https://doi.org/10.1038/leu.2017.41
    159 rdf:type schema:CreativeWork
    160 sg:pub.10.1038/nature21405 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083856454
    161 https://doi.org/10.1038/nature21405
    162 rdf:type schema:CreativeWork
    163 sg:pub.10.1038/nrd4591 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016866071
    164 https://doi.org/10.1038/nrd4591
    165 rdf:type schema:CreativeWork
    166 sg:pub.10.1038/nri2343 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045180551
    167 https://doi.org/10.1038/nri2343
    168 rdf:type schema:CreativeWork
    169 sg:pub.10.1038/s41434-018-0015-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1103249769
    170 https://doi.org/10.1038/s41434-018-0015-x
    171 rdf:type schema:CreativeWork
    172 sg:pub.10.1038/s41571-018-0006-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103195928
    173 https://doi.org/10.1038/s41571-018-0006-2
    174 rdf:type schema:CreativeWork
    175 sg:pub.10.1038/s41586-019-0878-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1111628922
    176 https://doi.org/10.1038/s41586-019-0878-z
    177 rdf:type schema:CreativeWork
    178 sg:pub.10.1038/s41591-018-0010-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103686011
    179 https://doi.org/10.1038/s41591-018-0010-1
    180 rdf:type schema:CreativeWork
    181 sg:pub.10.1038/s41598-017-00462-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084537841
    182 https://doi.org/10.1038/s41598-017-00462-8
    183 rdf:type schema:CreativeWork
    184 sg:pub.10.1186/s13045-018-0592-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101780825
    185 https://doi.org/10.1186/s13045-018-0592-6
    186 rdf:type schema:CreativeWork
    187 sg:pub.10.1186/s13045-018-0629-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1105304570
    188 https://doi.org/10.1186/s13045-018-0629-x
    189 rdf:type schema:CreativeWork
    190 sg:pub.10.1186/s13045-018-0677-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1110232149
    191 https://doi.org/10.1186/s13045-018-0677-2
    192 rdf:type schema:CreativeWork
    193 sg:pub.10.1186/s40168-017-0267-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085185824
    194 https://doi.org/10.1186/s40168-017-0267-5
    195 rdf:type schema:CreativeWork
    196 sg:pub.10.1186/s40425-015-0081-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036424463
    197 https://doi.org/10.1186/s40425-015-0081-1
    198 rdf:type schema:CreativeWork
    199 sg:pub.10.1186/s40425-019-0561-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113179542
    200 https://doi.org/10.1186/s40425-019-0561-9
    201 rdf:type schema:CreativeWork
    202 grid-institutes:grid.30760.32 schema:alternateName Division of Hematology/Oncology, Medical College of Wisconsin (MCW), Milwaukee, WI, USA
    203 Division of Internal Medicine, Medical College of Wisconsin (MCW), Milwaukee, WI, USA
    204 schema:name Division of Hematology/Oncology, Medical College of Wisconsin (MCW), Milwaukee, WI, USA
    205 Division of Infectious Diseases, Medical College of Wisconsin (MCW), Hub for Collaborative Medicine, 8701 Watertown Plank Road, 53226, Milwaukee, WI, USA
    206 Division of Internal Medicine, Medical College of Wisconsin (MCW), Milwaukee, WI, USA
    207 rdf:type schema:Organization
     




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


    ...