Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Università Cattolica del Sacro Cuore 2019
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
_version_ 1783400420829298688
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
work_keys_str_mv AT guptanishit spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT pawarravikiran spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT banerjeesambhunath spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT brahmasubhajit spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT rathasish spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT shewalesundar spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT pariharmayur spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT singhmanish spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT arunsr spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT krishnanshekhar spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT bhatacharyyaarpita spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT dasanirban spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT kumarjeevan spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT bhavesaurabh spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT radhakrishnanvivek spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT nairreena spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT chandymammen spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT aroraneeraj spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience
AT mishradeepak spectrumandimmunophenotypicprofileofacuteleukemiaatertiarycenterflowcytometryexperience