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
Hauptverfasser: 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.
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container_end_page 433
container_issue 4
container_start_page 421
container_title Cytometry. Part B, Clinical cytometry
container_volume 100
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
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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><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 &amp; 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 &amp; 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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 &amp; 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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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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