Flow Cytometric Minimal Residual Disease Analysis in Acute Leukemia: Current Status View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04-02

AUTHORS

Pulkit Rastogi, Man Updesh Singh Sachdeva

ABSTRACT

Minimal residual disease (MRD) analysis for patients of acute leukemia has evolved as a significant prognostic factor. Based on the MRD results, the cases are risk-stratified after induction chemotherapy, and an alteration in further management is made to yield maximal therapeutic benefits. The two primary methodologies for MRD detection are multi-parameter flow cytometry (MFC) and polymerase chain reaction. MFC identifies the MRD based on characteristic ‘leukemia-associated immunophenotypes’ on the residual leukemia cells. MRD analysis by MFC is most frequently done at the post-induction stage of treatment and often can achieve a sensitivity of detecting one leukemic cell in 10,000 normal cells, or even higher at times. This review outlines the technical aspects and provides inputs on standard antibody panels used for MRD detection in B-, T-lineage acute lymphoblastic leukemias, and acute myeloid leukemia. More... »

PAGES

1-13

References to SciGraph publications

  • 2010-11. Automated pattern-guided principal component analysis vs expert-based immunophenotypic classification of B-cell chronic lymphoproliferative disorders: a step forward in the standardization of clinical immunophenotyping in LEUKEMIA
  • 1995-04. Characterization of aberrant phenotypes in acute myeloblastic leukemia in ANNALS OF HEMATOLOGY
  • 2002-08. Minimal residual disease levels in bone marrow and peripheral blood are comparable in children with T cell acute lymphoblastic leukemia (ALL), but not in precursor-B-ALL in LEUKEMIA
  • 2004-05. Comparative analysis of flow cytometry and polymerase chain reaction for the detection of minimal residual disease in childhood acute lymphoblastic leukemia in LEUKEMIA
  • 2000-05. BIOMED-1 Concerted Action report: Flow cytometric characterization of CD7+ cell subsets in normal bone marrow as a basis for the diagnosis and follow-up of T cell acute lymphoblastic leukemia (T-ALL) in LEUKEMIA
  • 2016-02. A simple one-tube assay for immunophenotypical quantification of leukemic stem cells in acute myeloid leukemia in LEUKEMIA
  • 2005-01. Drug-induced immunophenotypic modulation in childhood ALL: implications for minimal residual disease detection in LEUKEMIA
  • 2012-09. EuroFlow standardization of flow cytometer instrument settings and immunophenotyping protocols in LEUKEMIA
  • 2012-09. EuroFlow antibody panels for standardized n-dimensional flow cytometric immunophenotyping of normal, reactive and malignant leukocytes in LEUKEMIA
  • 2003-10. Level of minimal residual disease prior to haematopoietic stem cell transplantation predicts prognosis in paediatric patients with acute lymphoblastic leukaemia: a report of the Pre-BMT MRD Study Group in BONE MARROW TRANSPLANTATION
  • 2013-03. CD44 and CD27 expression pattern in B cell precursor acute lymphoblastic leukemia and its clinical significance in MEDICAL ONCOLOGY
  • 1999-08. Tandem application of flow cytometry and polymerase chain reaction for comprehensive detection of minimal residual disease in childhood acute lymphoblastic leukemia in LEUKEMIA
  • 2004-03. Clinical significance of minimal residual disease in childhood acute lymphoblastic leukemia after first relapse in LEUKEMIA
  • 2004-10. Analysis of minimal residual disease in childhood acute lymphoblastic leukemia: comparison between RQ-PCR analysis of Ig/TcR gene rearrangements and multicolor flow cytometric immunophenotyping in LEUKEMIA
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12288-019-01118-5

    DOI

    http://dx.doi.org/10.1007/s12288-019-01118-5

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1113199903


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

    JSON-LD is the canonical representation for SciGraph data.

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

    [
      {
        "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
        "about": [
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Oncology and Carcinogenesis", 
            "type": "DefinedTerm"
          }, 
          {
            "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
            "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
            "name": "Medical and Health Sciences", 
            "type": "DefinedTerm"
          }
        ], 
        "author": [
          {
            "affiliation": {
              "name": [
                "Department of Histopathology, Level 5, Research Block A, Postgraduate Institute of Medical Education and Research, Sector 12, 160012, Chandigarh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Rastogi", 
            "givenName": "Pulkit", 
            "type": "Person"
          }, 
          {
            "affiliation": {
              "name": [
                "Department of Hematology, Level 5, Research Block A, Postgraduate Institute of Medical Education and Research, Sector 12, 160012, Chandigarh, India"
              ], 
              "type": "Organization"
            }, 
            "familyName": "Sachdeva", 
            "givenName": "Man Updesh Singh", 
            "type": "Person"
          }
        ], 
        "citation": [
          {
            "id": "sg:pub.10.1038/sj.leu.2403444", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001906461", 
              "https://doi.org/10.1038/sj.leu.2403444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2403444", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1001906461", 
              "https://doi.org/10.1038/sj.leu.2403444"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2403348", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003499445", 
              "https://doi.org/10.1038/sj.leu.2403348"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2403348", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003499445", 
              "https://doi.org/10.1038/sj.leu.2403348"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2008-01-132837", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1003921023"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejmoa1215134", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004736055"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2005-07-2708", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1004856060"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2402636", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005972860", 
              "https://doi.org/10.1038/sj.leu.2402636"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2402636", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1005972860", 
              "https://doi.org/10.1038/sj.leu.2402636"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cyto.b.21017", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1006295456"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2008.17.6065", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1012086249"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2009-10-248146", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1013878084"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/leu.2012.120", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1014120902", 
              "https://doi.org/10.1038/leu.2012.120"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/j.1365-2141.2006.06056.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1016474948"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/leu.2015.252", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1017804119", 
              "https://doi.org/10.1038/leu.2015.252"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cyto.b.20511", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018529930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cyto.b.20511", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1018529930"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2401459", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019996599", 
              "https://doi.org/10.1038/sj.leu.2401459"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2401459", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1019996599", 
              "https://doi.org/10.1038/sj.leu.2401459"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-2141.1998.00873.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1022745477"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2010.32.7270", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1026289504"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2009-11-253435", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027683640"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2015-03-580027", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027853442"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cyto.b.21101", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1027973580"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/leu.2010.160", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028692678", 
              "https://doi.org/10.1038/leu.2010.160"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/leu.2010.160", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1028692678", 
              "https://doi.org/10.1038/leu.2010.160"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cyto.b.20440", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029325617"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.tibtech.2013.04.008", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1029328508"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1200/jco.2014.58.4631", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031186422"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cyto.b.21486", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1031581070"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(01)06355-3", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1032343435"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s1470-2045(14)71170-2", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1033372865"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2401741", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034236609", 
              "https://doi.org/10.1038/sj.leu.2401741"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2401741", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1034236609", 
              "https://doi.org/10.1038/sj.leu.2401741"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2403283", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036189662", 
              "https://doi.org/10.1038/sj.leu.2403283"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2403283", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1036189662", 
              "https://doi.org/10.1038/sj.leu.2403283"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/s12032-012-0359-9", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037012287", 
              "https://doi.org/10.1007/s12032-012-0359-9"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01700374", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037916228", 
              "https://doi.org/10.1007/bf01700374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01700374", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037916228", 
              "https://doi.org/10.1007/bf01700374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1007/bf01700374", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1037916228", 
              "https://doi.org/10.1007/bf01700374"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/s0140-6736(98)04058-6", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039481418"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1309/ajcp5tsd3dzxflcx", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1039832886"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cyto.b.21482", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1040936649"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1309/fy0umamm91vpmr2w", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1042362593"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.bmt.1704241", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043684030", 
              "https://doi.org/10.1038/sj.bmt.1704241"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.bcmd.2016.05.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1043927808"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2006-08-041152", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044162656"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/(sici)1097-0320(19990815)38:4<139::aid-cyto1>3.0.co;2-h", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044233726"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2403559", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044485810", 
              "https://doi.org/10.1038/sj.leu.2403559"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/sj.leu.2403559", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1044485810", 
              "https://doi.org/10.1038/sj.leu.2403559"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1056/nejm199808273390904", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045206858"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "sg:pub.10.1038/leu.2012.122", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1045954846", 
              "https://doi.org/10.1038/leu.2012.122"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cyto.b.20480", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046917002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1002/cyto.b.20480", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1046917002"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2009-10-247585", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047569048"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1046/j.1365-2141.1997.3723186.x", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1047837398"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2016-03-643544", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1049256958"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2002-04-1130", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1050966828"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1182/blood-2016-07-726307", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1064123216"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://app.dimensions.ai/details/publication/pub.1076879311", 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.blre.2017.01.003", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1083408567"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/ijlh.12670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085072956"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/ijlh.12670", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1085072956"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.6004/jnccn.2017.0116", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090396386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.6004/jnccn.2017.0116", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1090396386"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1615/critrevoncog.2017020588", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091040713"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1615/critrevoncog.2017020588", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091040713"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.6004/jnccn.2017.0147", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091613506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.6004/jnccn.2017.0147", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091613506"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.cll.2017.07.004", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1091978233"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1111/ijlh.12795", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101320597"
            ], 
            "type": "CreativeWork"
          }, 
          {
            "id": "https://doi.org/10.1016/j.jim.2018.03.005", 
            "sameAs": [
              "https://app.dimensions.ai/details/publication/pub.1101393032"
            ], 
            "type": "CreativeWork"
          }
        ], 
        "datePublished": "2019-04-02", 
        "datePublishedReg": "2019-04-02", 
        "description": "Minimal residual disease (MRD) analysis for patients of acute leukemia has evolved as a significant prognostic factor. Based on the MRD results, the cases are risk-stratified after induction chemotherapy, and an alteration in further management is made to yield maximal therapeutic benefits. The two primary methodologies for MRD detection are multi-parameter flow cytometry (MFC) and polymerase chain reaction. MFC identifies the MRD based on characteristic \u2018leukemia-associated immunophenotypes\u2019 on the residual leukemia cells. MRD analysis by MFC is most frequently done at the post-induction stage of treatment and often can achieve a sensitivity of detecting one leukemic cell in 10,000 normal cells, or even higher at times. This review outlines the technical aspects and provides inputs on standard antibody panels used for MRD detection in B-, T-lineage acute lymphoblastic leukemias, and acute myeloid leukemia.", 
        "genre": "research_article", 
        "id": "sg:pub.10.1007/s12288-019-01118-5", 
        "inLanguage": [
          "en"
        ], 
        "isAccessibleForFree": false, 
        "isPartOf": [
          {
            "id": "sg:journal.1107805", 
            "issn": [
              "0971-4502", 
              "0974-0449"
            ], 
            "name": "Indian Journal of Hematology and Blood Transfusion", 
            "type": "Periodical"
          }
        ], 
        "name": "Flow Cytometric Minimal Residual Disease Analysis in Acute Leukemia: Current Status", 
        "pagination": "1-13", 
        "productId": [
          {
            "name": "doi", 
            "type": "PropertyValue", 
            "value": [
              "10.1007/s12288-019-01118-5"
            ]
          }, 
          {
            "name": "readcube_id", 
            "type": "PropertyValue", 
            "value": [
              "13d28ef52f83ba2597f002d00bda3ba4b035f0b822a9f6e0f578f6f67120420a"
            ]
          }, 
          {
            "name": "dimensions_id", 
            "type": "PropertyValue", 
            "value": [
              "pub.1113199903"
            ]
          }
        ], 
        "sameAs": [
          "https://doi.org/10.1007/s12288-019-01118-5", 
          "https://app.dimensions.ai/details/publication/pub.1113199903"
        ], 
        "sdDataset": "articles", 
        "sdDatePublished": "2019-04-15T09:10", 
        "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/v90/0000000376_0000000376/records_56155_00000006.jsonl", 
        "type": "ScholarlyArticle", 
        "url": "https://link.springer.com/10.1007%2Fs12288-019-01118-5"
      }
    ]
     

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

    HOW TO GET THIS DATA PROGRAMMATICALLY:

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

    curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12288-019-01118-5'

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

    curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12288-019-01118-5'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s12288-019-01118-5'

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

    curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12288-019-01118-5'


     

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

    242 TRIPLES      21 PREDICATES      80 URIs      16 LITERALS      5 BLANK NODES

    Subject Predicate Object
    1 sg:pub.10.1007/s12288-019-01118-5 schema:about anzsrc-for:11
    2 anzsrc-for:1112
    3 schema:author N9f699c25cb2141aeb3bd1137dec0aa52
    4 schema:citation sg:pub.10.1007/bf01700374
    5 sg:pub.10.1007/s12032-012-0359-9
    6 sg:pub.10.1038/leu.2010.160
    7 sg:pub.10.1038/leu.2012.120
    8 sg:pub.10.1038/leu.2012.122
    9 sg:pub.10.1038/leu.2015.252
    10 sg:pub.10.1038/sj.bmt.1704241
    11 sg:pub.10.1038/sj.leu.2401459
    12 sg:pub.10.1038/sj.leu.2401741
    13 sg:pub.10.1038/sj.leu.2402636
    14 sg:pub.10.1038/sj.leu.2403283
    15 sg:pub.10.1038/sj.leu.2403348
    16 sg:pub.10.1038/sj.leu.2403444
    17 sg:pub.10.1038/sj.leu.2403559
    18 https://app.dimensions.ai/details/publication/pub.1076879311
    19 https://doi.org/10.1002/(sici)1097-0320(19990815)38:4<139::aid-cyto1>3.0.co;2-h
    20 https://doi.org/10.1002/cyto.b.20440
    21 https://doi.org/10.1002/cyto.b.20480
    22 https://doi.org/10.1002/cyto.b.20511
    23 https://doi.org/10.1002/cyto.b.21017
    24 https://doi.org/10.1002/cyto.b.21101
    25 https://doi.org/10.1002/cyto.b.21482
    26 https://doi.org/10.1002/cyto.b.21486
    27 https://doi.org/10.1016/j.bcmd.2016.05.005
    28 https://doi.org/10.1016/j.blre.2017.01.003
    29 https://doi.org/10.1016/j.cll.2017.07.004
    30 https://doi.org/10.1016/j.jim.2018.03.005
    31 https://doi.org/10.1016/j.tibtech.2013.04.008
    32 https://doi.org/10.1016/s0140-6736(01)06355-3
    33 https://doi.org/10.1016/s0140-6736(98)04058-6
    34 https://doi.org/10.1016/s1470-2045(14)71170-2
    35 https://doi.org/10.1046/j.1365-2141.1997.3723186.x
    36 https://doi.org/10.1046/j.1365-2141.1998.00873.x
    37 https://doi.org/10.1056/nejm199808273390904
    38 https://doi.org/10.1056/nejmoa1215134
    39 https://doi.org/10.1111/ijlh.12670
    40 https://doi.org/10.1111/ijlh.12795
    41 https://doi.org/10.1111/j.1365-2141.2006.06056.x
    42 https://doi.org/10.1182/blood-2002-04-1130
    43 https://doi.org/10.1182/blood-2005-07-2708
    44 https://doi.org/10.1182/blood-2006-08-041152
    45 https://doi.org/10.1182/blood-2008-01-132837
    46 https://doi.org/10.1182/blood-2009-10-247585
    47 https://doi.org/10.1182/blood-2009-10-248146
    48 https://doi.org/10.1182/blood-2009-11-253435
    49 https://doi.org/10.1182/blood-2015-03-580027
    50 https://doi.org/10.1182/blood-2016-03-643544
    51 https://doi.org/10.1182/blood-2016-07-726307
    52 https://doi.org/10.1200/jco.2008.17.6065
    53 https://doi.org/10.1200/jco.2010.32.7270
    54 https://doi.org/10.1200/jco.2014.58.4631
    55 https://doi.org/10.1309/ajcp5tsd3dzxflcx
    56 https://doi.org/10.1309/fy0umamm91vpmr2w
    57 https://doi.org/10.1615/critrevoncog.2017020588
    58 https://doi.org/10.6004/jnccn.2017.0116
    59 https://doi.org/10.6004/jnccn.2017.0147
    60 schema:datePublished 2019-04-02
    61 schema:datePublishedReg 2019-04-02
    62 schema:description Minimal residual disease (MRD) analysis for patients of acute leukemia has evolved as a significant prognostic factor. Based on the MRD results, the cases are risk-stratified after induction chemotherapy, and an alteration in further management is made to yield maximal therapeutic benefits. The two primary methodologies for MRD detection are multi-parameter flow cytometry (MFC) and polymerase chain reaction. MFC identifies the MRD based on characteristic ‘leukemia-associated immunophenotypes’ on the residual leukemia cells. MRD analysis by MFC is most frequently done at the post-induction stage of treatment and often can achieve a sensitivity of detecting one leukemic cell in 10,000 normal cells, or even higher at times. This review outlines the technical aspects and provides inputs on standard antibody panels used for MRD detection in B-, T-lineage acute lymphoblastic leukemias, and acute myeloid leukemia.
    63 schema:genre research_article
    64 schema:inLanguage en
    65 schema:isAccessibleForFree false
    66 schema:isPartOf sg:journal.1107805
    67 schema:name Flow Cytometric Minimal Residual Disease Analysis in Acute Leukemia: Current Status
    68 schema:pagination 1-13
    69 schema:productId N201654b097ab4c2fa0d033ccea95a9c0
    70 N66d2af4bc1834211b260cea68c127b08
    71 N8b0decea35b04c20a97affa75bc89a3e
    72 schema:sameAs https://app.dimensions.ai/details/publication/pub.1113199903
    73 https://doi.org/10.1007/s12288-019-01118-5
    74 schema:sdDatePublished 2019-04-15T09:10
    75 schema:sdLicense https://scigraph.springernature.com/explorer/license/
    76 schema:sdPublisher N79a6f4f5575140be8b68e9a8f32fd506
    77 schema:url https://link.springer.com/10.1007%2Fs12288-019-01118-5
    78 sgo:license sg:explorer/license/
    79 sgo:sdDataset articles
    80 rdf:type schema:ScholarlyArticle
    81 N181af8c6ac814d92982f0b94c631f639 schema:name Department of Hematology, Level 5, Research Block A, Postgraduate Institute of Medical Education and Research, Sector 12, 160012, Chandigarh, India
    82 rdf:type schema:Organization
    83 N201654b097ab4c2fa0d033ccea95a9c0 schema:name readcube_id
    84 schema:value 13d28ef52f83ba2597f002d00bda3ba4b035f0b822a9f6e0f578f6f67120420a
    85 rdf:type schema:PropertyValue
    86 N2326db11f67942c2b2300840aa330b08 schema:affiliation N181af8c6ac814d92982f0b94c631f639
    87 schema:familyName Sachdeva
    88 schema:givenName Man Updesh Singh
    89 rdf:type schema:Person
    90 N3291beabed584894847090a3f99f9786 rdf:first N2326db11f67942c2b2300840aa330b08
    91 rdf:rest rdf:nil
    92 N66d2af4bc1834211b260cea68c127b08 schema:name doi
    93 schema:value 10.1007/s12288-019-01118-5
    94 rdf:type schema:PropertyValue
    95 N78280661bc7b4135b93855b50539e5ae schema:name Department of Histopathology, Level 5, Research Block A, Postgraduate Institute of Medical Education and Research, Sector 12, 160012, Chandigarh, India
    96 rdf:type schema:Organization
    97 N79a6f4f5575140be8b68e9a8f32fd506 schema:name Springer Nature - SN SciGraph project
    98 rdf:type schema:Organization
    99 N8153081028e247c8ab8b95fd3efb2c91 schema:affiliation N78280661bc7b4135b93855b50539e5ae
    100 schema:familyName Rastogi
    101 schema:givenName Pulkit
    102 rdf:type schema:Person
    103 N8b0decea35b04c20a97affa75bc89a3e schema:name dimensions_id
    104 schema:value pub.1113199903
    105 rdf:type schema:PropertyValue
    106 N9f699c25cb2141aeb3bd1137dec0aa52 rdf:first N8153081028e247c8ab8b95fd3efb2c91
    107 rdf:rest N3291beabed584894847090a3f99f9786
    108 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
    109 schema:name Medical and Health Sciences
    110 rdf:type schema:DefinedTerm
    111 anzsrc-for:1112 schema:inDefinedTermSet anzsrc-for:
    112 schema:name Oncology and Carcinogenesis
    113 rdf:type schema:DefinedTerm
    114 sg:journal.1107805 schema:issn 0971-4502
    115 0974-0449
    116 schema:name Indian Journal of Hematology and Blood Transfusion
    117 rdf:type schema:Periodical
    118 sg:pub.10.1007/bf01700374 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037916228
    119 https://doi.org/10.1007/bf01700374
    120 rdf:type schema:CreativeWork
    121 sg:pub.10.1007/s12032-012-0359-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037012287
    122 https://doi.org/10.1007/s12032-012-0359-9
    123 rdf:type schema:CreativeWork
    124 sg:pub.10.1038/leu.2010.160 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028692678
    125 https://doi.org/10.1038/leu.2010.160
    126 rdf:type schema:CreativeWork
    127 sg:pub.10.1038/leu.2012.120 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014120902
    128 https://doi.org/10.1038/leu.2012.120
    129 rdf:type schema:CreativeWork
    130 sg:pub.10.1038/leu.2012.122 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045954846
    131 https://doi.org/10.1038/leu.2012.122
    132 rdf:type schema:CreativeWork
    133 sg:pub.10.1038/leu.2015.252 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017804119
    134 https://doi.org/10.1038/leu.2015.252
    135 rdf:type schema:CreativeWork
    136 sg:pub.10.1038/sj.bmt.1704241 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043684030
    137 https://doi.org/10.1038/sj.bmt.1704241
    138 rdf:type schema:CreativeWork
    139 sg:pub.10.1038/sj.leu.2401459 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019996599
    140 https://doi.org/10.1038/sj.leu.2401459
    141 rdf:type schema:CreativeWork
    142 sg:pub.10.1038/sj.leu.2401741 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034236609
    143 https://doi.org/10.1038/sj.leu.2401741
    144 rdf:type schema:CreativeWork
    145 sg:pub.10.1038/sj.leu.2402636 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005972860
    146 https://doi.org/10.1038/sj.leu.2402636
    147 rdf:type schema:CreativeWork
    148 sg:pub.10.1038/sj.leu.2403283 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036189662
    149 https://doi.org/10.1038/sj.leu.2403283
    150 rdf:type schema:CreativeWork
    151 sg:pub.10.1038/sj.leu.2403348 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003499445
    152 https://doi.org/10.1038/sj.leu.2403348
    153 rdf:type schema:CreativeWork
    154 sg:pub.10.1038/sj.leu.2403444 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001906461
    155 https://doi.org/10.1038/sj.leu.2403444
    156 rdf:type schema:CreativeWork
    157 sg:pub.10.1038/sj.leu.2403559 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044485810
    158 https://doi.org/10.1038/sj.leu.2403559
    159 rdf:type schema:CreativeWork
    160 https://app.dimensions.ai/details/publication/pub.1076879311 schema:CreativeWork
    161 https://doi.org/10.1002/(sici)1097-0320(19990815)38:4<139::aid-cyto1>3.0.co;2-h schema:sameAs https://app.dimensions.ai/details/publication/pub.1044233726
    162 rdf:type schema:CreativeWork
    163 https://doi.org/10.1002/cyto.b.20440 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029325617
    164 rdf:type schema:CreativeWork
    165 https://doi.org/10.1002/cyto.b.20480 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046917002
    166 rdf:type schema:CreativeWork
    167 https://doi.org/10.1002/cyto.b.20511 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018529930
    168 rdf:type schema:CreativeWork
    169 https://doi.org/10.1002/cyto.b.21017 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006295456
    170 rdf:type schema:CreativeWork
    171 https://doi.org/10.1002/cyto.b.21101 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027973580
    172 rdf:type schema:CreativeWork
    173 https://doi.org/10.1002/cyto.b.21482 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040936649
    174 rdf:type schema:CreativeWork
    175 https://doi.org/10.1002/cyto.b.21486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031581070
    176 rdf:type schema:CreativeWork
    177 https://doi.org/10.1016/j.bcmd.2016.05.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043927808
    178 rdf:type schema:CreativeWork
    179 https://doi.org/10.1016/j.blre.2017.01.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083408567
    180 rdf:type schema:CreativeWork
    181 https://doi.org/10.1016/j.cll.2017.07.004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091978233
    182 rdf:type schema:CreativeWork
    183 https://doi.org/10.1016/j.jim.2018.03.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101393032
    184 rdf:type schema:CreativeWork
    185 https://doi.org/10.1016/j.tibtech.2013.04.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029328508
    186 rdf:type schema:CreativeWork
    187 https://doi.org/10.1016/s0140-6736(01)06355-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032343435
    188 rdf:type schema:CreativeWork
    189 https://doi.org/10.1016/s0140-6736(98)04058-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039481418
    190 rdf:type schema:CreativeWork
    191 https://doi.org/10.1016/s1470-2045(14)71170-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033372865
    192 rdf:type schema:CreativeWork
    193 https://doi.org/10.1046/j.1365-2141.1997.3723186.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1047837398
    194 rdf:type schema:CreativeWork
    195 https://doi.org/10.1046/j.1365-2141.1998.00873.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1022745477
    196 rdf:type schema:CreativeWork
    197 https://doi.org/10.1056/nejm199808273390904 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045206858
    198 rdf:type schema:CreativeWork
    199 https://doi.org/10.1056/nejmoa1215134 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004736055
    200 rdf:type schema:CreativeWork
    201 https://doi.org/10.1111/ijlh.12670 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085072956
    202 rdf:type schema:CreativeWork
    203 https://doi.org/10.1111/ijlh.12795 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101320597
    204 rdf:type schema:CreativeWork
    205 https://doi.org/10.1111/j.1365-2141.2006.06056.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1016474948
    206 rdf:type schema:CreativeWork
    207 https://doi.org/10.1182/blood-2002-04-1130 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050966828
    208 rdf:type schema:CreativeWork
    209 https://doi.org/10.1182/blood-2005-07-2708 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004856060
    210 rdf:type schema:CreativeWork
    211 https://doi.org/10.1182/blood-2006-08-041152 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044162656
    212 rdf:type schema:CreativeWork
    213 https://doi.org/10.1182/blood-2008-01-132837 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003921023
    214 rdf:type schema:CreativeWork
    215 https://doi.org/10.1182/blood-2009-10-247585 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047569048
    216 rdf:type schema:CreativeWork
    217 https://doi.org/10.1182/blood-2009-10-248146 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013878084
    218 rdf:type schema:CreativeWork
    219 https://doi.org/10.1182/blood-2009-11-253435 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027683640
    220 rdf:type schema:CreativeWork
    221 https://doi.org/10.1182/blood-2015-03-580027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027853442
    222 rdf:type schema:CreativeWork
    223 https://doi.org/10.1182/blood-2016-03-643544 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049256958
    224 rdf:type schema:CreativeWork
    225 https://doi.org/10.1182/blood-2016-07-726307 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064123216
    226 rdf:type schema:CreativeWork
    227 https://doi.org/10.1200/jco.2008.17.6065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012086249
    228 rdf:type schema:CreativeWork
    229 https://doi.org/10.1200/jco.2010.32.7270 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026289504
    230 rdf:type schema:CreativeWork
    231 https://doi.org/10.1200/jco.2014.58.4631 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031186422
    232 rdf:type schema:CreativeWork
    233 https://doi.org/10.1309/ajcp5tsd3dzxflcx schema:sameAs https://app.dimensions.ai/details/publication/pub.1039832886
    234 rdf:type schema:CreativeWork
    235 https://doi.org/10.1309/fy0umamm91vpmr2w schema:sameAs https://app.dimensions.ai/details/publication/pub.1042362593
    236 rdf:type schema:CreativeWork
    237 https://doi.org/10.1615/critrevoncog.2017020588 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091040713
    238 rdf:type schema:CreativeWork
    239 https://doi.org/10.6004/jnccn.2017.0116 schema:sameAs https://app.dimensions.ai/details/publication/pub.1090396386
    240 rdf:type schema:CreativeWork
    241 https://doi.org/10.6004/jnccn.2017.0147 schema:sameAs https://app.dimensions.ai/details/publication/pub.1091613506
    242 rdf:type schema:CreativeWork
     




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


    ...