Eleven‐marker 10‐color flow cytometric assessment of measurable residual disease for T‐cell acute lymphoblastic leukemia using an approach of exclusion
Measurable/minimal residual disease (MRD) status has been suggested as a powerful indicator of clinical‐outcome in T‐cell lymphoblastic leukemia/lymphoma (T‐ALL). Multicolor flow cytometric (MFC)‐based T‐ALL MRD reports are limited and traditionally based on the utilization of markers‐of‐immaturity...
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Veröffentlicht in: | Cytometry. Part B, Clinical cytometry Clinical cytometry, 2021-07, Vol.100 (4), p.421-433 |
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creator | Tembhare, Prashant R. Chatterjee, Gaurav Khanka, Twinkle Ghogale, Sitaram Badrinath, Yajamanam Deshpande, Nilesh Panda, Devasis Patkar, Nikhil V. Narula, Gaurav Girase, Karishma Verma, Shefali Sanyal, Mahima Sriram, Harshini N. Banavali, Shripad Gujral, Sumeet Subramanian, Papagudi G. |
description | Measurable/minimal residual disease (MRD) status has been suggested as a powerful indicator of clinical‐outcome in T‐cell lymphoblastic leukemia/lymphoma (T‐ALL). Multicolor flow cytometric (MFC)‐based T‐ALL MRD reports are limited and traditionally based on the utilization of markers‐of‐immaturity like TdT and CD99. Moreover, studies demonstrating the multicolor flow cytometric (MFC) approach for the assessment of T‐ALL MRD are sparse. Herein, we describe an 11‐marker, 10‐color MFC‐based T‐ALL MRD method using an “approach of exclusion.”
Methods
The study included 269 childhood T‐ALL patients treated with a modified‐MCP841 protocol. An 11‐marker, 10‐color MFC‐based MRD was performed in bone marrow (BM) samples at the end‐of‐induction (EOI) and end‐of‐consolidation (EOC) time‐points using Kaluza‐version‐1.3 software.
Results
We studied EOI‐MRD in 269 and EOC‐MRD in 105 childhood T‐ALL patients. EOI‐MRD was detectable in 125 (46.5%) samples (median, 0.3%; range, 0.0007–66.3%), and EOC‐MRD was detectable in 34/105 (32.4%) samples (median, 0.055%; range, 0.0008–27.6%). Leukemia‐associated immunophenotypes (LAIPs) found useful for MRD assessment were dual‐negative CD4/CD8 (40.9%), dual‐positive CD4/CD8 (23.3%) and only CD4 or CD8 expression (35.8%); dim/subset/dim‐negative surface‐CD3 (39%), dim/subset/dim‐negative/negative CD5 (28.3%), dim/dim‐negative/negative/heterogeneous CD45 (44.7%) and co‐expression of CD5/CD56 (7.5%). EOI‐MRD‐positive status was found to be the most‐relevant independent factor in the prediction of inferior relapse‐free and overall survival.
Conclusion
We described an 11‐marker 10‐color MFC‐based highly sensitive MRD assay in T‐ALL using an approach of exclusion. The addition of CD4 and CD8 to the pan‐T‐cell markers in a 10‐color assay is highly useful in T‐ALL MRD assessment and extends its applicability to almost all T‐ALL patients. |
doi_str_mv | 10.1002/cyto.b.21939 |
format | Article |
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Methods
The study included 269 childhood T‐ALL patients treated with a modified‐MCP841 protocol. An 11‐marker, 10‐color MFC‐based MRD was performed in bone marrow (BM) samples at the end‐of‐induction (EOI) and end‐of‐consolidation (EOC) time‐points using Kaluza‐version‐1.3 software.
Results
We studied EOI‐MRD in 269 and EOC‐MRD in 105 childhood T‐ALL patients. EOI‐MRD was detectable in 125 (46.5%) samples (median, 0.3%; range, 0.0007–66.3%), and EOC‐MRD was detectable in 34/105 (32.4%) samples (median, 0.055%; range, 0.0008–27.6%). Leukemia‐associated immunophenotypes (LAIPs) found useful for MRD assessment were dual‐negative CD4/CD8 (40.9%), dual‐positive CD4/CD8 (23.3%) and only CD4 or CD8 expression (35.8%); dim/subset/dim‐negative surface‐CD3 (39%), dim/subset/dim‐negative/negative CD5 (28.3%), dim/dim‐negative/negative/heterogeneous CD45 (44.7%) and co‐expression of CD5/CD56 (7.5%). EOI‐MRD‐positive status was found to be the most‐relevant independent factor in the prediction of inferior relapse‐free and overall survival.
Conclusion
We described an 11‐marker 10‐color MFC‐based highly sensitive MRD assay in T‐ALL using an approach of exclusion. The addition of CD4 and CD8 to the pan‐T‐cell markers in a 10‐color assay is highly useful in T‐ALL MRD assessment and extends its applicability to almost all T‐ALL patients.</description><identifier>ISSN: 1552-4949</identifier><identifier>EISSN: 1552-4957</identifier><identifier>DOI: 10.1002/cyto.b.21939</identifier><identifier>PMID: 32812702</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>10‐color flow cytometry ; Acute lymphoblastic leukemia ; Adolescent ; approach of exclusion ; Biomarkers, Tumor - genetics ; Bone marrow ; CD3 antigen ; CD4 antigen ; CD4-Positive T-Lymphocytes - metabolism ; CD4-Positive T-Lymphocytes - pathology ; CD45 antigen ; CD5 antigen ; CD56 antigen ; CD8 antigen ; CD8-Positive T-Lymphocytes - metabolism ; CD8-Positive T-Lymphocytes - pathology ; CD99 antigen ; Child ; Child, Preschool ; Children ; Color ; DNA nucleotidylexotransferase ; Female ; Flow Cytometry ; Gene Expression Regulation, Leukemic - genetics ; Humans ; Infant ; Leukemia ; Lymphatic leukemia ; Lymphoma ; Male ; Markers ; measurable residual disease ; Minimal residual disease ; Neoplasm, Residual - diagnosis ; Neoplasm, Residual - pathology ; Patients ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - diagnosis ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - genetics ; Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - pathology ; T‐cell acute lymphoblastic leukemia</subject><ispartof>Cytometry. Part B, Clinical cytometry, 2021-07, Vol.100 (4), p.421-433</ispartof><rights>2020 International Clinical Cytometry Society</rights><rights>2020 International Clinical Cytometry Society.</rights><rights>2021 International Clinical Cytometry Society</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4029-2490d66c26af6875fa55dc05d4ee970e3ae376de41a836f5590aa81357d127393</citedby><cites>FETCH-LOGICAL-c4029-2490d66c26af6875fa55dc05d4ee970e3ae376de41a836f5590aa81357d127393</cites><orcidid>0000-0002-6505-7898 ; 0000-0002-9030-0415</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcyto.b.21939$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcyto.b.21939$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32812702$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tembhare, Prashant R.</creatorcontrib><creatorcontrib>Chatterjee, Gaurav</creatorcontrib><creatorcontrib>Khanka, Twinkle</creatorcontrib><creatorcontrib>Ghogale, Sitaram</creatorcontrib><creatorcontrib>Badrinath, Yajamanam</creatorcontrib><creatorcontrib>Deshpande, Nilesh</creatorcontrib><creatorcontrib>Panda, Devasis</creatorcontrib><creatorcontrib>Patkar, Nikhil V.</creatorcontrib><creatorcontrib>Narula, Gaurav</creatorcontrib><creatorcontrib>Girase, Karishma</creatorcontrib><creatorcontrib>Verma, Shefali</creatorcontrib><creatorcontrib>Sanyal, Mahima</creatorcontrib><creatorcontrib>Sriram, Harshini N.</creatorcontrib><creatorcontrib>Banavali, Shripad</creatorcontrib><creatorcontrib>Gujral, Sumeet</creatorcontrib><creatorcontrib>Subramanian, Papagudi G.</creatorcontrib><title>Eleven‐marker 10‐color flow cytometric assessment of measurable residual disease for T‐cell acute lymphoblastic leukemia using an approach of exclusion</title><title>Cytometry. Part B, Clinical cytometry</title><addtitle>Cytometry B Clin Cytom</addtitle><description>Measurable/minimal residual disease (MRD) status has been suggested as a powerful indicator of clinical‐outcome in T‐cell lymphoblastic leukemia/lymphoma (T‐ALL). Multicolor flow cytometric (MFC)‐based T‐ALL MRD reports are limited and traditionally based on the utilization of markers‐of‐immaturity like TdT and CD99. Moreover, studies demonstrating the multicolor flow cytometric (MFC) approach for the assessment of T‐ALL MRD are sparse. Herein, we describe an 11‐marker, 10‐color MFC‐based T‐ALL MRD method using an “approach of exclusion.”
Methods
The study included 269 childhood T‐ALL patients treated with a modified‐MCP841 protocol. An 11‐marker, 10‐color MFC‐based MRD was performed in bone marrow (BM) samples at the end‐of‐induction (EOI) and end‐of‐consolidation (EOC) time‐points using Kaluza‐version‐1.3 software.
Results
We studied EOI‐MRD in 269 and EOC‐MRD in 105 childhood T‐ALL patients. EOI‐MRD was detectable in 125 (46.5%) samples (median, 0.3%; range, 0.0007–66.3%), and EOC‐MRD was detectable in 34/105 (32.4%) samples (median, 0.055%; range, 0.0008–27.6%). Leukemia‐associated immunophenotypes (LAIPs) found useful for MRD assessment were dual‐negative CD4/CD8 (40.9%), dual‐positive CD4/CD8 (23.3%) and only CD4 or CD8 expression (35.8%); dim/subset/dim‐negative surface‐CD3 (39%), dim/subset/dim‐negative/negative CD5 (28.3%), dim/dim‐negative/negative/heterogeneous CD45 (44.7%) and co‐expression of CD5/CD56 (7.5%). EOI‐MRD‐positive status was found to be the most‐relevant independent factor in the prediction of inferior relapse‐free and overall survival.
Conclusion
We described an 11‐marker 10‐color MFC‐based highly sensitive MRD assay in T‐ALL using an approach of exclusion. The addition of CD4 and CD8 to the pan‐T‐cell markers in a 10‐color assay is highly useful in T‐ALL MRD assessment and extends its applicability to almost all T‐ALL patients.</description><subject>10‐color flow cytometry</subject><subject>Acute lymphoblastic leukemia</subject><subject>Adolescent</subject><subject>approach of exclusion</subject><subject>Biomarkers, Tumor - genetics</subject><subject>Bone marrow</subject><subject>CD3 antigen</subject><subject>CD4 antigen</subject><subject>CD4-Positive T-Lymphocytes - metabolism</subject><subject>CD4-Positive T-Lymphocytes - pathology</subject><subject>CD45 antigen</subject><subject>CD5 antigen</subject><subject>CD56 antigen</subject><subject>CD8 antigen</subject><subject>CD8-Positive T-Lymphocytes - metabolism</subject><subject>CD8-Positive T-Lymphocytes - pathology</subject><subject>CD99 antigen</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Children</subject><subject>Color</subject><subject>DNA nucleotidylexotransferase</subject><subject>Female</subject><subject>Flow Cytometry</subject><subject>Gene Expression Regulation, Leukemic - genetics</subject><subject>Humans</subject><subject>Infant</subject><subject>Leukemia</subject><subject>Lymphatic leukemia</subject><subject>Lymphoma</subject><subject>Male</subject><subject>Markers</subject><subject>measurable residual disease</subject><subject>Minimal residual disease</subject><subject>Neoplasm, Residual - diagnosis</subject><subject>Neoplasm, Residual - pathology</subject><subject>Patients</subject><subject>Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - diagnosis</subject><subject>Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - genetics</subject><subject>Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - pathology</subject><subject>T‐cell acute lymphoblastic leukemia</subject><issn>1552-4949</issn><issn>1552-4957</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kb1uFDEURkeIiIRAR40s0VCwi_9nXcIqQKRIaZaCyrrjuUMm8YwXe0zYLo-QF-DleBI82SQFBZWv7OOjq--rqleMLhml_L3bTWHZLDkzwjypjphSfCGNqp8-ztIcVs9TuqRUKKnrZ9Wh4CvGa8qPqt8nHn_i-OfmdoB4hZEwWmYXfIik8-GazPoBp9g7AilhSgOOEwkdGRBSjtB4JBFT32bwpO1TuUXSld-b2YPeE3B5QuJ3w_YiNB7SVFQe8xUOPZCc-vE7gZHAdhsDuItZjb-cLw9hfFEddOATvrw_j6uvn0426y-Ls_PPp-sPZwsnKTcLLg1ttXZcQ6dXtepAqdZR1UpEU1MUgKLWLUoGK6E7pQwFWDGh6rbEIIw4rt7uvWWHHxnTZIc-zcvDiCEny6VQSnCteUHf_INehhzHsp3lham10ZoV6t2ecjGkFLGz29iXhHeWUTvXZudcbWPvaiv463tpbgZsH-GHngog98B173H3X5ldf9ucf9x7_wLak6mj</recordid><startdate>202107</startdate><enddate>202107</enddate><creator>Tembhare, Prashant R.</creator><creator>Chatterjee, Gaurav</creator><creator>Khanka, Twinkle</creator><creator>Ghogale, Sitaram</creator><creator>Badrinath, Yajamanam</creator><creator>Deshpande, Nilesh</creator><creator>Panda, Devasis</creator><creator>Patkar, Nikhil V.</creator><creator>Narula, Gaurav</creator><creator>Girase, Karishma</creator><creator>Verma, Shefali</creator><creator>Sanyal, Mahima</creator><creator>Sriram, Harshini N.</creator><creator>Banavali, Shripad</creator><creator>Gujral, Sumeet</creator><creator>Subramanian, Papagudi G.</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7T5</scope><scope>8FD</scope><scope>FR3</scope><scope>H94</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-6505-7898</orcidid><orcidid>https://orcid.org/0000-0002-9030-0415</orcidid></search><sort><creationdate>202107</creationdate><title>Eleven‐marker 10‐color flow cytometric assessment of measurable residual disease for T‐cell acute lymphoblastic leukemia using an approach of exclusion</title><author>Tembhare, Prashant R. ; Chatterjee, Gaurav ; Khanka, Twinkle ; Ghogale, Sitaram ; Badrinath, Yajamanam ; Deshpande, Nilesh ; Panda, Devasis ; Patkar, Nikhil V. ; Narula, Gaurav ; Girase, Karishma ; Verma, Shefali ; Sanyal, Mahima ; Sriram, Harshini N. ; Banavali, Shripad ; Gujral, Sumeet ; Subramanian, Papagudi G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4029-2490d66c26af6875fa55dc05d4ee970e3ae376de41a836f5590aa81357d127393</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>10‐color flow cytometry</topic><topic>Acute lymphoblastic leukemia</topic><topic>Adolescent</topic><topic>approach of exclusion</topic><topic>Biomarkers, Tumor - genetics</topic><topic>Bone marrow</topic><topic>CD3 antigen</topic><topic>CD4 antigen</topic><topic>CD4-Positive T-Lymphocytes - metabolism</topic><topic>CD4-Positive T-Lymphocytes - pathology</topic><topic>CD45 antigen</topic><topic>CD5 antigen</topic><topic>CD56 antigen</topic><topic>CD8 antigen</topic><topic>CD8-Positive T-Lymphocytes - metabolism</topic><topic>CD8-Positive T-Lymphocytes - pathology</topic><topic>CD99 antigen</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Children</topic><topic>Color</topic><topic>DNA nucleotidylexotransferase</topic><topic>Female</topic><topic>Flow Cytometry</topic><topic>Gene Expression Regulation, Leukemic - genetics</topic><topic>Humans</topic><topic>Infant</topic><topic>Leukemia</topic><topic>Lymphatic leukemia</topic><topic>Lymphoma</topic><topic>Male</topic><topic>Markers</topic><topic>measurable residual disease</topic><topic>Minimal residual disease</topic><topic>Neoplasm, Residual - diagnosis</topic><topic>Neoplasm, Residual - pathology</topic><topic>Patients</topic><topic>Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - diagnosis</topic><topic>Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - genetics</topic><topic>Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - pathology</topic><topic>T‐cell acute lymphoblastic leukemia</topic><toplevel>online_resources</toplevel><creatorcontrib>Tembhare, Prashant R.</creatorcontrib><creatorcontrib>Chatterjee, Gaurav</creatorcontrib><creatorcontrib>Khanka, Twinkle</creatorcontrib><creatorcontrib>Ghogale, Sitaram</creatorcontrib><creatorcontrib>Badrinath, Yajamanam</creatorcontrib><creatorcontrib>Deshpande, Nilesh</creatorcontrib><creatorcontrib>Panda, Devasis</creatorcontrib><creatorcontrib>Patkar, Nikhil V.</creatorcontrib><creatorcontrib>Narula, Gaurav</creatorcontrib><creatorcontrib>Girase, Karishma</creatorcontrib><creatorcontrib>Verma, Shefali</creatorcontrib><creatorcontrib>Sanyal, Mahima</creatorcontrib><creatorcontrib>Sriram, Harshini N.</creatorcontrib><creatorcontrib>Banavali, Shripad</creatorcontrib><creatorcontrib>Gujral, Sumeet</creatorcontrib><creatorcontrib>Subramanian, Papagudi G.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Immunology Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Cytometry. Part B, Clinical cytometry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Tembhare, Prashant R.</au><au>Chatterjee, Gaurav</au><au>Khanka, Twinkle</au><au>Ghogale, Sitaram</au><au>Badrinath, Yajamanam</au><au>Deshpande, Nilesh</au><au>Panda, Devasis</au><au>Patkar, Nikhil V.</au><au>Narula, Gaurav</au><au>Girase, Karishma</au><au>Verma, Shefali</au><au>Sanyal, Mahima</au><au>Sriram, Harshini N.</au><au>Banavali, Shripad</au><au>Gujral, Sumeet</au><au>Subramanian, Papagudi G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Eleven‐marker 10‐color flow cytometric assessment of measurable residual disease for T‐cell acute lymphoblastic leukemia using an approach of exclusion</atitle><jtitle>Cytometry. Part B, Clinical cytometry</jtitle><addtitle>Cytometry B Clin Cytom</addtitle><date>2021-07</date><risdate>2021</risdate><volume>100</volume><issue>4</issue><spage>421</spage><epage>433</epage><pages>421-433</pages><issn>1552-4949</issn><eissn>1552-4957</eissn><abstract>Measurable/minimal residual disease (MRD) status has been suggested as a powerful indicator of clinical‐outcome in T‐cell lymphoblastic leukemia/lymphoma (T‐ALL). Multicolor flow cytometric (MFC)‐based T‐ALL MRD reports are limited and traditionally based on the utilization of markers‐of‐immaturity like TdT and CD99. Moreover, studies demonstrating the multicolor flow cytometric (MFC) approach for the assessment of T‐ALL MRD are sparse. Herein, we describe an 11‐marker, 10‐color MFC‐based T‐ALL MRD method using an “approach of exclusion.”
Methods
The study included 269 childhood T‐ALL patients treated with a modified‐MCP841 protocol. An 11‐marker, 10‐color MFC‐based MRD was performed in bone marrow (BM) samples at the end‐of‐induction (EOI) and end‐of‐consolidation (EOC) time‐points using Kaluza‐version‐1.3 software.
Results
We studied EOI‐MRD in 269 and EOC‐MRD in 105 childhood T‐ALL patients. EOI‐MRD was detectable in 125 (46.5%) samples (median, 0.3%; range, 0.0007–66.3%), and EOC‐MRD was detectable in 34/105 (32.4%) samples (median, 0.055%; range, 0.0008–27.6%). Leukemia‐associated immunophenotypes (LAIPs) found useful for MRD assessment were dual‐negative CD4/CD8 (40.9%), dual‐positive CD4/CD8 (23.3%) and only CD4 or CD8 expression (35.8%); dim/subset/dim‐negative surface‐CD3 (39%), dim/subset/dim‐negative/negative CD5 (28.3%), dim/dim‐negative/negative/heterogeneous CD45 (44.7%) and co‐expression of CD5/CD56 (7.5%). EOI‐MRD‐positive status was found to be the most‐relevant independent factor in the prediction of inferior relapse‐free and overall survival.
Conclusion
We described an 11‐marker 10‐color MFC‐based highly sensitive MRD assay in T‐ALL using an approach of exclusion. The addition of CD4 and CD8 to the pan‐T‐cell markers in a 10‐color assay is highly useful in T‐ALL MRD assessment and extends its applicability to almost all T‐ALL patients.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>32812702</pmid><doi>10.1002/cyto.b.21939</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-6505-7898</orcidid><orcidid>https://orcid.org/0000-0002-9030-0415</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; Wiley Online Library Journals Frontfile Complete; Wiley Online Library Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
subjects | 10‐color flow cytometry Acute lymphoblastic leukemia Adolescent approach of exclusion Biomarkers, Tumor - genetics Bone marrow CD3 antigen CD4 antigen CD4-Positive T-Lymphocytes - metabolism CD4-Positive T-Lymphocytes - pathology CD45 antigen CD5 antigen CD56 antigen CD8 antigen CD8-Positive T-Lymphocytes - metabolism CD8-Positive T-Lymphocytes - pathology CD99 antigen Child Child, Preschool Children Color DNA nucleotidylexotransferase Female Flow Cytometry Gene Expression Regulation, Leukemic - genetics Humans Infant Leukemia Lymphatic leukemia Lymphoma Male Markers measurable residual disease Minimal residual disease Neoplasm, Residual - diagnosis Neoplasm, Residual - pathology Patients Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - diagnosis Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - genetics Precursor T-Cell Lymphoblastic Leukemia-Lymphoma - pathology T‐cell acute lymphoblastic leukemia |
title | Eleven‐marker 10‐color flow cytometric assessment of measurable residual disease for T‐cell acute lymphoblastic leukemia using an approach of exclusion |
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