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Clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission

BACKGROUND: Bone marrow (BM) aspiration is largely used for relapse assessment in acute myeloid leukemia (AML). It remains unclear what roles that BM trephine biopsy plays on relapse assessment. METHODS: Bone marrow (BM) sections during complete remission (CR) from 60 acute myeloid leukemia (AML) pa...

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Autores principales: Yu, Yehua, Wu, Zhentian, Zhang, Jing, Zhai, Yuanmei, Yuan, Yinghua, Liu, Sihong, Wang, Hui, Shi, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901753/
https://www.ncbi.nlm.nih.gov/pubmed/24447607
http://dx.doi.org/10.1186/1479-5876-12-18
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author Yu, Yehua
Wu, Zhentian
Zhang, Jing
Zhai, Yuanmei
Yuan, Yinghua
Liu, Sihong
Wang, Hui
Shi, Jun
author_facet Yu, Yehua
Wu, Zhentian
Zhang, Jing
Zhai, Yuanmei
Yuan, Yinghua
Liu, Sihong
Wang, Hui
Shi, Jun
author_sort Yu, Yehua
collection PubMed
description BACKGROUND: Bone marrow (BM) aspiration is largely used for relapse assessment in acute myeloid leukemia (AML). It remains unclear what roles that BM trephine biopsy plays on relapse assessment. METHODS: Bone marrow (BM) sections during complete remission (CR) from 60 acute myeloid leukemia (AML) patients were retrospectively analyzed. Computer image processing technology was performed for detection of the distance between precursors and endosteum, and density of precursors was also calculated under light microscopic image. Immunohistochemistry was used to identify the immunophenotype of clustered precursors. RESULTS: Except for single and double precursors, there existed clustered precursors of 3-5 cells during CR. Here, we demonstrated that clustered precursors, but not single and double precursors, were useful in risk factor of relapse. Area under the receiving operator curve (ROC) was of 0.007 (CI 95%, from 0.572 to 0.851). Using a standard cut-off value of >4.0/mm(2) for cluster density, early relapse was detected with a sensitivity of 51.5% and a specificity of 85.7%. Multivariate Cox regression analysis revealed that clustered precursor is an independent risk factor for early relapse (Adjusted HR: 0.325, 95% CI: 0.156-0.679, p = 0.003). CONCLUSIONS: Cumulatively, clustered precursors in BM sections during CR may serve as an independent risk factor of early relapse and poor outcome for AML patients in cluster density > 4.0/mm(2) in sections. Early aggressive interventions are needed to prevent hematologic relapse.
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spelling pubmed-39017532014-01-25 Clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission Yu, Yehua Wu, Zhentian Zhang, Jing Zhai, Yuanmei Yuan, Yinghua Liu, Sihong Wang, Hui Shi, Jun J Transl Med Research BACKGROUND: Bone marrow (BM) aspiration is largely used for relapse assessment in acute myeloid leukemia (AML). It remains unclear what roles that BM trephine biopsy plays on relapse assessment. METHODS: Bone marrow (BM) sections during complete remission (CR) from 60 acute myeloid leukemia (AML) patients were retrospectively analyzed. Computer image processing technology was performed for detection of the distance between precursors and endosteum, and density of precursors was also calculated under light microscopic image. Immunohistochemistry was used to identify the immunophenotype of clustered precursors. RESULTS: Except for single and double precursors, there existed clustered precursors of 3-5 cells during CR. Here, we demonstrated that clustered precursors, but not single and double precursors, were useful in risk factor of relapse. Area under the receiving operator curve (ROC) was of 0.007 (CI 95%, from 0.572 to 0.851). Using a standard cut-off value of >4.0/mm(2) for cluster density, early relapse was detected with a sensitivity of 51.5% and a specificity of 85.7%. Multivariate Cox regression analysis revealed that clustered precursor is an independent risk factor for early relapse (Adjusted HR: 0.325, 95% CI: 0.156-0.679, p = 0.003). CONCLUSIONS: Cumulatively, clustered precursors in BM sections during CR may serve as an independent risk factor of early relapse and poor outcome for AML patients in cluster density > 4.0/mm(2) in sections. Early aggressive interventions are needed to prevent hematologic relapse. BioMed Central 2014-01-22 /pmc/articles/PMC3901753/ /pubmed/24447607 http://dx.doi.org/10.1186/1479-5876-12-18 Text en Copyright © 2014 Yu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Yu, Yehua
Wu, Zhentian
Zhang, Jing
Zhai, Yuanmei
Yuan, Yinghua
Liu, Sihong
Wang, Hui
Shi, Jun
Clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission
title Clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission
title_full Clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission
title_fullStr Clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission
title_full_unstemmed Clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission
title_short Clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission
title_sort clustered precursors in bone marrow sections predict early relapse in patients with acute myeloid leukemia within hematologic remission
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3901753/
https://www.ncbi.nlm.nih.gov/pubmed/24447607
http://dx.doi.org/10.1186/1479-5876-12-18
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