Unsupervised cluster analysis and subset characterization of abnormal erythropoiesis using the bioinformatic Flow-Self Organizing Maps algorithm

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Fältnamn	Indikatorer	Metadata
000		04656naa a2200361 4500
001		oai:lup.lub.lu.se:68093df7-d11c-4dbc-920a-448c6e3341bd
003		SwePub
008		220321s2022 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://lup.lub.lu.se/record/68093df7-d11c-4dbc-920a-448c6e3341bd2 URI
024	7	a https://doi.org/10.1002/cyto.b.220592 DOI
040		a (SwePub)lu
041		a engb eng
042		9 SwePub
072	7	a art2 swepub-publicationtype
072	7	a ref2 swepub-contenttype
100	1	a Porwit, Annau Lund University,Lunds universitet,Tumörmikromiljö,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Patologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Tumor microenvironment,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Pathology, Lund,Section V,Department of Clinical Sciences, Lund,Skåne University Hospital4 aut0 (Swepub:lu)an6742po
245	1 0	a Unsupervised cluster analysis and subset characterization of abnormal erythropoiesis using the bioinformatic Flow-Self Organizing Maps algorithm
264		c 2022-02-12
264	1	b Wiley,c 2022
520		a BACKGROUND: The Flow-Self Organizing Maps (FlowSOM) artificial intelligence (AI) program, available within the Bioconductor open-source R-project, allows for an unsupervised visualization and interpretation of multiparameter flow cytometry (MFC) data.METHODS: Applied to a reference merged file from 11 normal bone marrows (BM) analyzed with an MFC panel targeting erythropoiesis, FlowSOM allowed to identify six subpopulations of erythropoietic precursors (EPs). In order to find out how this program would help in the characterization of abnormalities in erythropoiesis, MFC data from list-mode files of 16 patients (5 with non-clonal anemia and 11 with myelodysplastic syndrome [MDS] at diagnosis) were analyzed.RESULTS: Unsupervised FlowSOM analysis identified 18 additional subsets of EPs not present in the merged normal BM samples. Most of them involved subtle unexpected and previously unreported modifications in CD36 and/or CD71 antigen expression and in side scatter characteristics. Three patterns were observed in MDS patient samples: i) EPs with decreased proliferation and abnormal proliferating precursors, ii) EPs with a normal proliferating fraction and maturation defects in late precursors, and iii) EPs with a reduced erythropoietic fraction but mostly normal patterns suggesting that erythropoiesis was less affected. Additionally, analysis of sequential samples from an MDS patient under treatment showed a decrease of abnormal subsets after azacytidine treatment and near normalization after allogeneic hematopoietic stem-cell transplantation.CONCLUSION: Unsupervised clustering analysis of MFC data discloses subtle alterations in erythropoiesis not detectable by cytology nor FCM supervised analysis. This novel AI analytical approach sheds some new light on the pathophysiology of these conditions.
650	7	a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Hematologi0 (SwePub)302022 hsv//swe
650	7	a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Hematology0 (SwePub)302022 hsv//eng
700	1	a Violidaki, Despoinau Lund University,Lunds universitet,Patologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Pathology, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Skåne University Hospital4 aut0 (Swepub:lu)de8244vi
700	1	a Axler, Olofu Lund University,Lunds universitet,Patologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Pathology, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Skåne University Hospital4 aut0 (Swepub:lu)klke-oax
700	1	a Lacombe, Francisu Hopital Haut-Leveque C.H.U de Bordeaux4 aut
700	1	a Ehinger, Matsu Lund University,Lunds universitet,Patologi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Pathology, Lund,Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Skåne University Hospital4 aut0 (Swepub:lu)efor-meh
700	1	a Béné, Marie Cu Nantes University Hospital4 aut
710	2	a Tumörmikromiljöb Sektion I4 org
773	0	t Cytometry Part B - Clinical Cytometryd : Wileyg 102:2, s. 134-142q 102:2<134-142x 1552-4949x 1552-4957
856	4	u http://dx.doi.org/10.1002/cyto.b.22059x freey FULLTEXT
856	4	u https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/cyto.b.22059
856	4 8	u https://lup.lub.lu.se/record/68093df7-d11c-4dbc-920a-448c6e3341bd
856	4 8	u https://doi.org/10.1002/cyto.b.22059

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Av författaren/redakt...: Porwit, Anna; Violidaki, Despo ...; Axler, Olof; Lacombe, Francis; Ehinger, Mats; Béné, Marie C

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MEDICIN OCH HÄLSOVETENSKAP: MEDICIN OCH HÄLS ...; och Klinisk medicin; och Hematologi

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Av lärosätet: Lunds universitet

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