Phenotypic landscape of granulocytes and monocytes by multiparametric flow cytometry: A prospective study of a 1‐tube panel strategy for diagnosis and prognosis of patients with MDS
Background Multiparametric flow cytometry (MFC) was recently reported to be a helpful additional tool in the diagnosis of myelodysplastic syndromes (MDS). However, numerous aberrancies have been reported that makes their evaluation difficult as part of a routine diagnosis. Methods Here, we validated...
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Veröffentlicht in: | Cytometry. Part B, Clinical cytometry Clinical cytometry, 2020-05, Vol.98 (3), p.226-237 |
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creator | Barreau, Sylvain Green, Alexa S. Dussiau, Charles Alary, Anne‐Sophie Raimbault, Anna Mathis, Stephanie Willems, Lise Bouscary, Didier Kosmider, Olivier Bardet, Valerie Fontenay, Michaela Chapuis, Nicolas |
description | Background
Multiparametric flow cytometry (MFC) was recently reported to be a helpful additional tool in the diagnosis of myelodysplastic syndromes (MDS). However, numerous aberrancies have been reported that makes their evaluation difficult as part of a routine diagnosis.
Methods
Here, we validated a 1‐tube panel for the evaluation of granulocytic and monocytic maturation by MFC and correlated our findings with diagnosis and prognosis of MDS. A total of 251 samples with MDS suspicion were prospectively analyzed and compared to an internal reference database leading to the calculation of the Diff score.
Results
The associated specificity and sensitivity values of this scoring system were 92.1% and 60.4% in a first learning cohort and 96.7% and 65.2% in a second independent validation cohort. The combination of the Diff score with the concomitantly calculated Ogata score increased the sensitivity to 74.2% and 78.3% in the learning and validation cohorts, respectively. Finally, a normal Diff score in MDS patients was associated with a significant prolonged progression‐free survival.
Conclusions
Taken together, the present data indicate that our strategy is a sensitive and specific MFC tool for the diagnosis of MDS‐related cytopenia(s) which could be also useful for predicting evolution of these diseases. |
doi_str_mv | 10.1002/cyto.b.21843 |
format | Article |
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Multiparametric flow cytometry (MFC) was recently reported to be a helpful additional tool in the diagnosis of myelodysplastic syndromes (MDS). However, numerous aberrancies have been reported that makes their evaluation difficult as part of a routine diagnosis.
Methods
Here, we validated a 1‐tube panel for the evaluation of granulocytic and monocytic maturation by MFC and correlated our findings with diagnosis and prognosis of MDS. A total of 251 samples with MDS suspicion were prospectively analyzed and compared to an internal reference database leading to the calculation of the Diff score.
Results
The associated specificity and sensitivity values of this scoring system were 92.1% and 60.4% in a first learning cohort and 96.7% and 65.2% in a second independent validation cohort. The combination of the Diff score with the concomitantly calculated Ogata score increased the sensitivity to 74.2% and 78.3% in the learning and validation cohorts, respectively. Finally, a normal Diff score in MDS patients was associated with a significant prolonged progression‐free survival.
Conclusions
Taken together, the present data indicate that our strategy is a sensitive and specific MFC tool for the diagnosis of MDS‐related cytopenia(s) which could be also useful for predicting evolution of these diseases.</description><identifier>ISSN: 1552-4949</identifier><identifier>EISSN: 1552-4957</identifier><identifier>DOI: 10.1002/cyto.b.21843</identifier><identifier>PMID: 31498561</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Diagnosis ; disease progression ; Flow cytometry ; Learning ; Leukocytes (granulocytic) ; Life Sciences ; Mathematical analysis ; maturation pathways ; MDS ; Medical prognosis ; Monocytes ; multiparametric flow cytometry ; Myelodysplastic syndrome ; Prognosis ; Sensitivity</subject><ispartof>Cytometry. Part B, Clinical cytometry, 2020-05, Vol.98 (3), p.226-237</ispartof><rights>2019 International Clinical Cytometry Society</rights><rights>2019 International Clinical Cytometry Society.</rights><rights>2020 International Clinical Cytometry Society</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4363-732ecff39bff11beacda11209eb57c5ba625b982f3ac233f5fdabf98dfd77cc93</citedby><cites>FETCH-LOGICAL-c4363-732ecff39bff11beacda11209eb57c5ba625b982f3ac233f5fdabf98dfd77cc93</cites><orcidid>0000-0003-0601-3948 ; 0000-0003-0271-3357 ; 0000-0002-7368-2247 ; 0000-0003-0646-0617 ; 0000-0002-6021-4057</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.21843$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcyto.b.21843$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>230,314,776,780,881,1411,1427,27901,27902,45550,45551,46384,46808</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31498561$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03227850$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Barreau, Sylvain</creatorcontrib><creatorcontrib>Green, Alexa S.</creatorcontrib><creatorcontrib>Dussiau, Charles</creatorcontrib><creatorcontrib>Alary, Anne‐Sophie</creatorcontrib><creatorcontrib>Raimbault, Anna</creatorcontrib><creatorcontrib>Mathis, Stephanie</creatorcontrib><creatorcontrib>Willems, Lise</creatorcontrib><creatorcontrib>Bouscary, Didier</creatorcontrib><creatorcontrib>Kosmider, Olivier</creatorcontrib><creatorcontrib>Bardet, Valerie</creatorcontrib><creatorcontrib>Fontenay, Michaela</creatorcontrib><creatorcontrib>Chapuis, Nicolas</creatorcontrib><title>Phenotypic landscape of granulocytes and monocytes by multiparametric flow cytometry: A prospective study of a 1‐tube panel strategy for diagnosis and prognosis of patients with MDS</title><title>Cytometry. Part B, Clinical cytometry</title><addtitle>Cytometry B Clin Cytom</addtitle><description>Background
Multiparametric flow cytometry (MFC) was recently reported to be a helpful additional tool in the diagnosis of myelodysplastic syndromes (MDS). However, numerous aberrancies have been reported that makes their evaluation difficult as part of a routine diagnosis.
Methods
Here, we validated a 1‐tube panel for the evaluation of granulocytic and monocytic maturation by MFC and correlated our findings with diagnosis and prognosis of MDS. A total of 251 samples with MDS suspicion were prospectively analyzed and compared to an internal reference database leading to the calculation of the Diff score.
Results
The associated specificity and sensitivity values of this scoring system were 92.1% and 60.4% in a first learning cohort and 96.7% and 65.2% in a second independent validation cohort. The combination of the Diff score with the concomitantly calculated Ogata score increased the sensitivity to 74.2% and 78.3% in the learning and validation cohorts, respectively. Finally, a normal Diff score in MDS patients was associated with a significant prolonged progression‐free survival.
Conclusions
Taken together, the present data indicate that our strategy is a sensitive and specific MFC tool for the diagnosis of MDS‐related cytopenia(s) which could be also useful for predicting evolution of these diseases.</description><subject>Diagnosis</subject><subject>disease progression</subject><subject>Flow cytometry</subject><subject>Learning</subject><subject>Leukocytes (granulocytic)</subject><subject>Life Sciences</subject><subject>Mathematical analysis</subject><subject>maturation pathways</subject><subject>MDS</subject><subject>Medical prognosis</subject><subject>Monocytes</subject><subject>multiparametric flow cytometry</subject><subject>Myelodysplastic syndrome</subject><subject>Prognosis</subject><subject>Sensitivity</subject><issn>1552-4949</issn><issn>1552-4957</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp9kc2O0zAQgCMEYpeFG2dkiQtItPgnbhJupfwsUtEisRw4WbYzbr1K4mA7W-XGI_A2vA9PgkNKDxw42eP5_Hk8k2WPCV4SjOlLPUa3VEtKypzdyc4J53SRV7y4e9rn1Vn2IIQbjBnPV8X97IyRvCr5ipxnPz_toXNx7K1GjezqoGUPyBm087IbGpfsEFBKoNZ1x0iNqB2aaHvpZQvRp6umcQc0VTLF4yu0Rr13oQcd7S2gEId6nKQSkV_ff8RBAeplB03KeBlhNyLjPKqt3HUu2Pm9JDhG6WIvo4UuBnSwcY8-vvn8MLtnZBPg0XG9yL68e3u9uVxsr95_2Ky3C52zFVsUjII2hlXKGEIUSF1LQiiuQPFCcyVXlKuqpIZJTRkz3NRSmaqsTV0UWlfsIns-e_eyEb23rfSjcNKKy_VWTGeYUVqUHN-SxD6b2VT6twFCFK0NGprUV3BDEJSWBSecMJ7Qp_-gN27wXfqJoDlmFS7ZqkjUi5nSqZnBgzlVQLCYhi-mlgsl_gw_4U-O0kG1UJ_gv9NOQD4DB9vA-F-Z2Hy9vno9e38DSJjBUg</recordid><startdate>202005</startdate><enddate>202005</enddate><creator>Barreau, Sylvain</creator><creator>Green, Alexa S.</creator><creator>Dussiau, Charles</creator><creator>Alary, Anne‐Sophie</creator><creator>Raimbault, Anna</creator><creator>Mathis, Stephanie</creator><creator>Willems, Lise</creator><creator>Bouscary, Didier</creator><creator>Kosmider, Olivier</creator><creator>Bardet, Valerie</creator><creator>Fontenay, Michaela</creator><creator>Chapuis, Nicolas</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><general>Wiley</general><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><scope>1XC</scope><orcidid>https://orcid.org/0000-0003-0601-3948</orcidid><orcidid>https://orcid.org/0000-0003-0271-3357</orcidid><orcidid>https://orcid.org/0000-0002-7368-2247</orcidid><orcidid>https://orcid.org/0000-0003-0646-0617</orcidid><orcidid>https://orcid.org/0000-0002-6021-4057</orcidid></search><sort><creationdate>202005</creationdate><title>Phenotypic landscape of granulocytes and monocytes by multiparametric flow cytometry: A prospective study of a 1‐tube panel strategy for diagnosis and prognosis of patients with MDS</title><author>Barreau, Sylvain ; Green, Alexa S. ; Dussiau, Charles ; Alary, Anne‐Sophie ; Raimbault, Anna ; Mathis, Stephanie ; Willems, Lise ; Bouscary, Didier ; Kosmider, Olivier ; Bardet, Valerie ; Fontenay, Michaela ; Chapuis, Nicolas</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4363-732ecff39bff11beacda11209eb57c5ba625b982f3ac233f5fdabf98dfd77cc93</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Diagnosis</topic><topic>disease progression</topic><topic>Flow cytometry</topic><topic>Learning</topic><topic>Leukocytes (granulocytic)</topic><topic>Life Sciences</topic><topic>Mathematical analysis</topic><topic>maturation pathways</topic><topic>MDS</topic><topic>Medical prognosis</topic><topic>Monocytes</topic><topic>multiparametric flow cytometry</topic><topic>Myelodysplastic syndrome</topic><topic>Prognosis</topic><topic>Sensitivity</topic><toplevel>online_resources</toplevel><creatorcontrib>Barreau, Sylvain</creatorcontrib><creatorcontrib>Green, Alexa S.</creatorcontrib><creatorcontrib>Dussiau, Charles</creatorcontrib><creatorcontrib>Alary, Anne‐Sophie</creatorcontrib><creatorcontrib>Raimbault, Anna</creatorcontrib><creatorcontrib>Mathis, Stephanie</creatorcontrib><creatorcontrib>Willems, Lise</creatorcontrib><creatorcontrib>Bouscary, Didier</creatorcontrib><creatorcontrib>Kosmider, Olivier</creatorcontrib><creatorcontrib>Bardet, Valerie</creatorcontrib><creatorcontrib>Fontenay, Michaela</creatorcontrib><creatorcontrib>Chapuis, Nicolas</creatorcontrib><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><collection>Hyper Article en Ligne (HAL)</collection><jtitle>Cytometry. Part B, Clinical cytometry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Barreau, Sylvain</au><au>Green, Alexa S.</au><au>Dussiau, Charles</au><au>Alary, Anne‐Sophie</au><au>Raimbault, Anna</au><au>Mathis, Stephanie</au><au>Willems, Lise</au><au>Bouscary, Didier</au><au>Kosmider, Olivier</au><au>Bardet, Valerie</au><au>Fontenay, Michaela</au><au>Chapuis, Nicolas</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Phenotypic landscape of granulocytes and monocytes by multiparametric flow cytometry: A prospective study of a 1‐tube panel strategy for diagnosis and prognosis of patients with MDS</atitle><jtitle>Cytometry. Part B, Clinical cytometry</jtitle><addtitle>Cytometry B Clin Cytom</addtitle><date>2020-05</date><risdate>2020</risdate><volume>98</volume><issue>3</issue><spage>226</spage><epage>237</epage><pages>226-237</pages><issn>1552-4949</issn><eissn>1552-4957</eissn><abstract>Background
Multiparametric flow cytometry (MFC) was recently reported to be a helpful additional tool in the diagnosis of myelodysplastic syndromes (MDS). However, numerous aberrancies have been reported that makes their evaluation difficult as part of a routine diagnosis.
Methods
Here, we validated a 1‐tube panel for the evaluation of granulocytic and monocytic maturation by MFC and correlated our findings with diagnosis and prognosis of MDS. A total of 251 samples with MDS suspicion were prospectively analyzed and compared to an internal reference database leading to the calculation of the Diff score.
Results
The associated specificity and sensitivity values of this scoring system were 92.1% and 60.4% in a first learning cohort and 96.7% and 65.2% in a second independent validation cohort. The combination of the Diff score with the concomitantly calculated Ogata score increased the sensitivity to 74.2% and 78.3% in the learning and validation cohorts, respectively. Finally, a normal Diff score in MDS patients was associated with a significant prolonged progression‐free survival.
Conclusions
Taken together, the present data indicate that our strategy is a sensitive and specific MFC tool for the diagnosis of MDS‐related cytopenia(s) which could be also useful for predicting evolution of these diseases.</abstract><cop>Hoboken, USA</cop><pub>John Wiley & Sons, Inc</pub><pmid>31498561</pmid><doi>10.1002/cyto.b.21843</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0003-0601-3948</orcidid><orcidid>https://orcid.org/0000-0003-0271-3357</orcidid><orcidid>https://orcid.org/0000-0002-7368-2247</orcidid><orcidid>https://orcid.org/0000-0003-0646-0617</orcidid><orcidid>https://orcid.org/0000-0002-6021-4057</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Diagnosis disease progression Flow cytometry Learning Leukocytes (granulocytic) Life Sciences Mathematical analysis maturation pathways MDS Medical prognosis Monocytes multiparametric flow cytometry Myelodysplastic syndrome Prognosis Sensitivity |
title | Phenotypic landscape of granulocytes and monocytes by multiparametric flow cytometry: A prospective study of a 1‐tube panel strategy for diagnosis and prognosis of patients with MDS |
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