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Spectrum and Immunophenotypic Profile of Acute Leukemia: A Tertiary Center Flow Cytometry Experience
BACKGROUND: For diagnosis, sub-categorization and follow up of Acute Leukemia (AL), phenotypic analysis using flow cytometry is mandatory. MATERIAL AND METHODS: We retrospectively analyzed immunophenotypic data along with cytogenetics/molecular genetics data (wherever available) from 631 consecutive...
Autores principales: | , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Università Cattolica del Sacro Cuore
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402547/ https://www.ncbi.nlm.nih.gov/pubmed/30858955 http://dx.doi.org/10.4084/MJHID.2019.017 |
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author | Gupta, Nishit Pawar, Ravikiran Banerjee, Sambhunath Brahma, Subhajit Rath, Asish Shewale, Sundar Parihar, Mayur Singh, Manish Arun, S R Krishnan, Shekhar Bhatacharyya, Arpita Das, Anirban Kumar, Jeevan Bhave, Saurabh Radhakrishnan, Vivek Nair, Reena Chandy, Mammen Arora, Neeraj Mishra, Deepak |
author_facet | Gupta, Nishit Pawar, Ravikiran Banerjee, Sambhunath Brahma, Subhajit Rath, Asish Shewale, Sundar Parihar, Mayur Singh, Manish Arun, S R Krishnan, Shekhar Bhatacharyya, Arpita Das, Anirban Kumar, Jeevan Bhave, Saurabh Radhakrishnan, Vivek Nair, Reena Chandy, Mammen Arora, Neeraj Mishra, Deepak |
author_sort | Gupta, Nishit |
collection | PubMed |
description | BACKGROUND: For diagnosis, sub-categorization and follow up of Acute Leukemia (AL), phenotypic analysis using flow cytometry is mandatory. MATERIAL AND METHODS: We retrospectively analyzed immunophenotypic data along with cytogenetics/molecular genetics data (wherever available) from 631 consecutive cases of AL diagnosed at our flow cytometry laboratory from January 2014 to August 2017. RESULTS: Of the total 631 cases, 52.9% (n=334) were acute lymphoblastic leukemia (ALL), 43.9% (n=277) acute myeloid leukemia (AML), 2.2% (n=14) mixed phenotypic acute leukemia (MPAL), 0.5% (n=3) acute undifferentiated leukemia (AUL) and 0.5% (n=3) chronic myeloid leukemia in blast crisis (CML-BC). ALL cases comprised of 81.7% (n=273/334) B-cell ALLs (95.2%, n=260/273 common B-ALLs and 4.8%, n=13/273 Pro B-ALLs). CD13 was the commonest cross lineage antigen, expressed in B-ALL (25.6%, n=70/273), followed by CD33 (17.9%, n=49) and combined CD13/CD33 (11.3%, n=31/273) expression. T-ALLs constituted 18.3% (n=61/334) of total ALLs and included 27.9% (n=17/61) cortical T- ALLs. CD13 was commonest (32.7%, n=20/61) aberrantly expressed antigen in T-ALLs, followed by CD117 (19.1%, n=9/47). AML cases included 32.1% (n=89/277) AML with recurrent genetic abnormalities, 9.0% (n=25/277) with FLT3/NPM1c mutation and 58.9% (n=163/277) AML NOS including 14.7% (n=24/163) AML M4/M5, 1.8% (n=3/163) AML M6 and 3.7% (n=6/163) AML M7. In AMLs, CD19 aberrancy was the most common (20.2%, n=56/277) followed by CD56 (15.8%, n=42/265). CONCLUSIONS: In this study, we document the spectrum, correlate the immunophenotype with genetic data of all leukemias, especially concerning T-ALL where the data from India is scarce. |
format | Online Article Text |
id | pubmed-6402547 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Università Cattolica del Sacro Cuore |
record_format | MEDLINE/PubMed |
spelling | pubmed-64025472019-03-11 Spectrum and Immunophenotypic Profile of Acute Leukemia: A Tertiary Center Flow Cytometry Experience Gupta, Nishit Pawar, Ravikiran Banerjee, Sambhunath Brahma, Subhajit Rath, Asish Shewale, Sundar Parihar, Mayur Singh, Manish Arun, S R Krishnan, Shekhar Bhatacharyya, Arpita Das, Anirban Kumar, Jeevan Bhave, Saurabh Radhakrishnan, Vivek Nair, Reena Chandy, Mammen Arora, Neeraj Mishra, Deepak Mediterr J Hematol Infect Dis Original Article BACKGROUND: For diagnosis, sub-categorization and follow up of Acute Leukemia (AL), phenotypic analysis using flow cytometry is mandatory. MATERIAL AND METHODS: We retrospectively analyzed immunophenotypic data along with cytogenetics/molecular genetics data (wherever available) from 631 consecutive cases of AL diagnosed at our flow cytometry laboratory from January 2014 to August 2017. RESULTS: Of the total 631 cases, 52.9% (n=334) were acute lymphoblastic leukemia (ALL), 43.9% (n=277) acute myeloid leukemia (AML), 2.2% (n=14) mixed phenotypic acute leukemia (MPAL), 0.5% (n=3) acute undifferentiated leukemia (AUL) and 0.5% (n=3) chronic myeloid leukemia in blast crisis (CML-BC). ALL cases comprised of 81.7% (n=273/334) B-cell ALLs (95.2%, n=260/273 common B-ALLs and 4.8%, n=13/273 Pro B-ALLs). CD13 was the commonest cross lineage antigen, expressed in B-ALL (25.6%, n=70/273), followed by CD33 (17.9%, n=49) and combined CD13/CD33 (11.3%, n=31/273) expression. T-ALLs constituted 18.3% (n=61/334) of total ALLs and included 27.9% (n=17/61) cortical T- ALLs. CD13 was commonest (32.7%, n=20/61) aberrantly expressed antigen in T-ALLs, followed by CD117 (19.1%, n=9/47). AML cases included 32.1% (n=89/277) AML with recurrent genetic abnormalities, 9.0% (n=25/277) with FLT3/NPM1c mutation and 58.9% (n=163/277) AML NOS including 14.7% (n=24/163) AML M4/M5, 1.8% (n=3/163) AML M6 and 3.7% (n=6/163) AML M7. In AMLs, CD19 aberrancy was the most common (20.2%, n=56/277) followed by CD56 (15.8%, n=42/265). CONCLUSIONS: In this study, we document the spectrum, correlate the immunophenotype with genetic data of all leukemias, especially concerning T-ALL where the data from India is scarce. Università Cattolica del Sacro Cuore 2019-03-01 /pmc/articles/PMC6402547/ /pubmed/30858955 http://dx.doi.org/10.4084/MJHID.2019.017 Text en This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by-nc/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Gupta, Nishit Pawar, Ravikiran Banerjee, Sambhunath Brahma, Subhajit Rath, Asish Shewale, Sundar Parihar, Mayur Singh, Manish Arun, S R Krishnan, Shekhar Bhatacharyya, Arpita Das, Anirban Kumar, Jeevan Bhave, Saurabh Radhakrishnan, Vivek Nair, Reena Chandy, Mammen Arora, Neeraj Mishra, Deepak Spectrum and Immunophenotypic Profile of Acute Leukemia: A Tertiary Center Flow Cytometry Experience |
title | Spectrum and Immunophenotypic Profile of Acute Leukemia: A Tertiary Center Flow Cytometry Experience |
title_full | Spectrum and Immunophenotypic Profile of Acute Leukemia: A Tertiary Center Flow Cytometry Experience |
title_fullStr | Spectrum and Immunophenotypic Profile of Acute Leukemia: A Tertiary Center Flow Cytometry Experience |
title_full_unstemmed | Spectrum and Immunophenotypic Profile of Acute Leukemia: A Tertiary Center Flow Cytometry Experience |
title_short | Spectrum and Immunophenotypic Profile of Acute Leukemia: A Tertiary Center Flow Cytometry Experience |
title_sort | spectrum and immunophenotypic profile of acute leukemia: a tertiary center flow cytometry experience |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6402547/ https://www.ncbi.nlm.nih.gov/pubmed/30858955 http://dx.doi.org/10.4084/MJHID.2019.017 |
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