alexa Personalized Approach to Diagnosis and Treatment of Acute Myeloid Leukemia | Open Access Journals
ISSN: 2161-0681
Journal of Clinical & Experimental Pathology
Like us on:
Make the best use of Scientific Research and information from our 700+ peer reviewed, Open Access Journals that operates with the help of 50,000+ Editorial Board Members and esteemed reviewers and 1000+ Scientific associations in Medical, Clinical, Pharmaceutical, Engineering, Technology and Management Fields.
Meet Inspiring Speakers and Experts at our 3000+ Global Conferenceseries Events with over 600+ Conferences, 1200+ Symposiums and 1200+ Workshops on
Medical, Pharma, Engineering, Science, Technology and Business

Personalized Approach to Diagnosis and Treatment of Acute Myeloid Leukemia

Xiaodong Lyu1,2, Richard Y Zhao1*# and Qing Chen1#

1Department of Pathology, University of Maryland School of Medicine, USA

2Henan Cancer Hospital, Zhengzhou, China

#Equal Contribution

*Corresponding Author:
Richard Y. Zhao
Department of Pathology
University of Maryland School of Medicine
Baltimore, MD 21201, USA
Tel: 410-706-6300
Fax: 410-706-6303
E-mail: [email protected]

Received Date: July 15, 2013; Accepted Date: July 26, 2013; Published Date: July 28, 2013

Citation: Lyu X, Zhao RY, Chen Q (2013) Personalized Approach to Diagnosis and Treatment of Acute Myeloid Leukemia. J Clin Exp Pathol 3:143. doi: 10.4172/2161-0681.1000143

Copyright: © 2013 Lyu X, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Visit for more related articles at Journal of Clinical & Experimental Pathology

Abstract

Recent advances in disease pathogenesis and modern technologies are gradually transforming conventional medicine into personalized medicine. The personalized approach to diagnosis of leukemic patients consists of comprehensive and individualized evaluation based on characteristics of the tumor cell morphology, immunophenotype,cytogenetic and molecular aberrations as well as the patient’s overall genetic make-up. Such a diagnostic approach, in addition to guiding individualized treatment, will help to identify new molecular targets for therapy.

Introduction

Recent advances in disease pathogenesis and modern technologies are gradually transforming conventional medicine into personalized medicine. The personalized approach to diagnosis of leukemic patients consists of comprehensive and individualized evaluation based on characteristics of the tumor cell morphology, immunophenotype, cytogenetic and molecular aberrations as well as the patient’s overall genetic make-up. Such a diagnostic approach, in addition to guiding individualized treatment, will help to identify new molecular targets for therapy.

Acute myeloid leukemia (AML) is a type of aggressive neoplasm characterized by clonal expansion of myeloid blasts in the bone marrow, blood, or other tissue. AML is the most common acute leukemia in the USA with an estimated 14,590 new cases and 10,370 deaths in the USA in 2012 [1]. AML is a heterogeneous group of diseases, and can be further devided into multiple subclasses.

Diagnosis and Classification of Acute Myeloid Leukemia

The earlier French-American-British (FAB) classification of AML is mainly based on morphology and cytochemistry [2], and it classifies AML into eight groups, namely AML-M0 to -M7 (Table 1). The most recent WHO classification proposed in 2008 is based on morphology, immunophenotype, genetic abnormalities and clinical history [3]. It divides AML into four major categories with multiple subgroups (Table 2). The inclusion of genetic subgroups has great prognostic and therapeutic significance.

Type Name
M0 Minimally differentiated acute myeloblastic leukemia
M1 Acute myeloblastic leukemia, without maturation
M2 Acute myeloblastic leukemia, with granulocytic maturation
M3 Acute Promyelocytic Leukemia(APL)
M4 Acute Myelomonocytic Leukemia, And Acute Myelomonocytic With Eosinophilia (M4eo)
M5 Acute Monoblastic Leukemia(M5a) and Acute Monocytic Leukemia(M5b)
M6 Acute erythroid leukemias
M7 Acute megakaryoblastic leukemia

Table 1: Eight FAB subtypes were proposed in 1976.

Acute myeloid leukemia with recurrent genetic abnormalities
AML with t(8;21)(q22;q22); (RUNX1;RUNX1T1) 
AML with inv(16)(p13.1q22) or t((16;16)(p13.1;q22); (CBFB-MYH11)
APL with t(15;17)(q22;q12); (PML-RARA)
AML with t(9;11)(p22;q23); (MLLT3-MLL)  
AML with t(6;9)(p23;q34); (DEK-NUP214)
AML with inv(3)(q21q26.2) or t(3;3)(q21;q26.2); (RPN1-EVI1) 
AML (megakaryoblastic) with t(1;22)(p13;q13); (RBM15-MKL1) 
Provisional entity: AML with mutated NPM1 
Provisional entity: AML with mutated CEBPA
Acute myeloid leukemia with myelodysplasia-related changes
Therapy-related myeloid neoplasms
Acute myeloid leukemia, not otherwise specified
Similar to FAB subgroups 

Table 2: 2008 WHO Classification of Acute Myeloid Leukemia.

Morphology and immunophenotype

AML is currently defined as a leukemia with 20% or more myeloid blasts in the bone marrow or blood. A myeloblast is an early precursor of myeloid lineage. It typically has immature nuclear features and expresses common myeloid markers such as CD13 or CD33, along with stem cell marker CD34 or early myeloid marker CD117. Further immunophenotyping can identify the cell of origin and the level of differentiation of the blasts, and aid in subclassication of AML into granulocytic, monocytic, erythroid, megakaryocytic, or minimally differentiated AML [3].

Conventional cytogenetics

Certain cytogenetic abnormalities have been frequently observed in AML, and some are distinctively associated with specific subtypes of AML (Table 2). Most importantly, cytogenetic abnormalities are currently recognized as one of the most significant factors in predicting clinical outcomes of AML patients [4-6]. Several cytogenetic risk groups have been proposed [5]. The favorable risk group includes Core- Binding Factor (CBF) abnormalities, t(8; 21) and inv(16)/t(16;16), which are associated with high rate of Complete Remission (CR) and longer survival [7]. The t(15;17) underlies acute promyelocytic leukemia, which is one of the most curable types of leukemia [8]. The unfavorable risk group includes complex cytogenetic abnormalities (≥ 3 cytogenetic aberrations), abnormalities of the long arm of chromosome 3, deletions of the long arm of chromosome 5 and monosomies of chromosomes 5 or 7 [9]. Recent studies have shown that patients with Monosomy Karyotype (MK) have significantly shorter overall survival than patients with non-MK yet unfavorable aberrations. Therefore, it is proposed that MK identifies a distinct subgroup of patients with the most unfavorable clinical outcome [10]. The intermediate risk group includes normal karyotype and abnormalities other than those described in the favorable and unfavorable groups [9].

Molecular genetics

In addition to chromosomal aberrations, gene mutations and duplications are frequently observed in AML patients. Approximately 40-50% of AML patients have a normal karyotype, but have shown a wide range of clinical outcomes [4,5]. Therefore, it is particularly important to identify molecular prognostic factors that can improve risk stratification in this group of patients. It has been shown that 85% of AML patients with a normal karyotype have gene mutations, in particular, NPM1, FLT3 and CEBPA [6]. These mutations have prognostic significance and are being used in diagnosis [9]. Patients with NPM1 mutation without FLT3-ITD have a better CR rate, and improved overall survival and disease-free survival, comparable to those of CBF AML [11,12]. Similarly, patients with biallelic mutations of CEBPA gene have longer overall survival than patients with no or single allelic mutation [13]. On the other hand, FLT3-ITD has negative prognostic influence, resulting in shorter remission duration and poorer survival outcome compared with patients with wild-type FLT3 [14,15]. Prognostic significance of many of the newly identified molecular markers is still unclear. However, continued study may provide new insight into their importance in clinical outcome and response to certain therapeutic drugs.

Personalized Treatment of Acute Myeloid Leukemia

Therapy of AML includes traditional cytotoxic chemotherapy, targeted therapy, epigenetic therapy, and stem cell transplantation. Risk stratification based on cytogenetics and molecular markers plays a crucial role in guiding personalized treatment.

Traditional treatment adjustment based on specific leukemia characteristics

In AML patients with unfavorable cytogenetic and/or molecular risk, traditional chemotherapy protocol has not produced ideal outcomes. More accurate risk stratification will help better ‘targeting’ of patients who may benefit from chemotherapy dose adjustment and hematopoietic cell transplantation. In prospectively randomized studies, high-dose daunorubicin compared with standard dose resulted in a higher rate of complete remission and improved overall survival [16,17]. However, intensifying cytarabine has failed to improve clinical outcome [18-20]. Currently, myeloablative allogeneic stem cell transplantation (alloSCT) is recommended for poor-risk but not good-risk AML. AlloSCT, autologous transplant and consolidation chemotherapy are considered of equivalent benefit for intermediaterisk AML [21].

Targeted therapy

Advances in molecular diagnostics have resulted in significant advances in identification of new targets for therapy. Many new therapies are being tested in clinical trials.

Antibody-directed chemotherapy

Monoclonal antibodies target specific antigens expressed on malignant cells and can direct chemotherapy drugs to the targeted cells without affecting normal cells. Gemtuzumab ozogamicin is an immunoconjugate between anti-CD33 antibody and calicheamicin, and has been used as an addition to standard chemotherapy for AML patients. The outcome is controversial. While the Southwest Oncology Group (SWOG) study in 2010 failed to show improvement in CR rate and survival [22], other studies using lower dose gemtuzumab ozogamicin during standard front-line chemotherapy showed survival benefit [23,24].

FLT3 inhibitors

Patients with FLT3 mutations, in particular FLT3-ITD, have inferior prognosis. Several FLT3 inhibitors, e.g. lestaurtinib (CEP-701), sunitinib (SU-11248), tandutinib (MLN-518), midostaurin (PKC-412), sorafenib (BAY-93006) and anti-FLT3 monoclonal antibody (IMCEB10), are being evaluated in clinical trials as single agent therapy and in combination with conventional chemotherapy [25]. In a clinical trial of midostaurin combined with standard induction chemotherapy, addition of midostaurin demonstrated higher CR rate and improved overall survival [26].

CXCR4 inhibitor

CXCR4 is a chemokine receptor and serves as the principle regulator of stem cell homing and retention in the bone marrow. Increased CXCR4 expression has been associated with increased risk of relapse and decreased survival in AML. Plerixafor is a small molecule of CXCR4 inhibitor. A phase 1/2 study using Plerixafor in combination with chemotherapy to treat relapsed or refractory AML patients showed improved CR rate [27].

Epigenetic therapy

DNA hypermethylation represses transcription of the promoter regions of tumor suppressor genes. As opposed to conventional cytotoxic chemotherapy, the use of hypomethylating agents, such as azacytidine and decitabine, offer the possibility of disease control, without necessarily achieving CR in AML patients considered unfit for standard chemotherapy [28].

Other new agents, such as an inhibitor of NEDD8 activating enzyme (MLN4924) [29], an antisense oligonucleotide to X-linked inhibitor of apoptosis proteins (AEG 35156) [30], and WT1 tumor antigen-loaded dendritic cells [31], all have shown anti-AML activity and are attractive future options.

Future Directions

New technologies have allowed us to further categorize newly diagnosed AML patients into previously unrecognized biologic and/ or prognostic subgroups. Array-based technologies using comparative genome hybridization and single nucleotide polymorphism (SNPs) have been conducted successfully in AML patients and have provided valuable information [32-34]. The development of Next-Generation Sequencing (NGS) methods has revolutionized our ability to diagnose diseases and is now able to analyze disease-associated genetic abnormalities based on the entire genome of an individual patient. Specifically, NGS is now being applied to studies of cancer genomes such as targeted oncogene or tumor-suppressing gene sequencing, exome, transcriptome, methylome, histone-associated genome and whole-genome sequencing [35,36]. Equipped with these new technologies, we are advancing towards an era of disease diagnosis derived not only from population-based genetic information but also tailored from genetic information of an individual patient hence leading to personalized approaches to diagnose and treat a patient. Such an individualized approach will undoubtedly offer more efficient and less toxic therapy to AML in the future.

References

Select your language of interest to view the total content in your interested language
Post your comment

Share This Article

Article Usage

  • Total views: 11872
  • [From(publication date):
    June-2013 - Oct 22, 2017]
  • Breakdown by view type
  • HTML page views : 8060
  • PDF downloads :3812
 

Post your comment

captcha   Reload  Can't read the image? click here to refresh

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

Agri, Food, Aqua and Veterinary Science Journals

Dr. Krish

[email protected]

1-702-714-7001 Extn: 9040

Clinical and Biochemistry Journals

Datta A

[email protected]

1-702-714-7001Extn: 9037

Business & Management Journals

Ronald

[email protected]

1-702-714-7001Extn: 9042

Chemical Engineering and Chemistry Journals

Gabriel Shaw

[email protected]

1-702-714-7001 Extn: 9040

Earth & Environmental Sciences

Katie Wilson

[email protected]

1-702-714-7001Extn: 9042

Engineering Journals

James Franklin

[email protected]

1-702-714-7001Extn: 9042

General Science and Health care Journals

Andrea Jason

[email protected]

1-702-714-7001Extn: 9043

Genetics and Molecular Biology Journals

Anna Melissa

[email protected]

1-702-714-7001 Extn: 9006

Immunology & Microbiology Journals

David Gorantl

[email protected]

1-702-714-7001Extn: 9014

Informatics Journals

Stephanie Skinner

[email protected]

1-702-714-7001Extn: 9039

Material Sciences Journals

Rachle Green

[email protected]

1-702-714-7001Extn: 9039

Mathematics and Physics Journals

Jim Willison

[email protected]

1-702-714-7001 Extn: 9042

Medical Journals

Nimmi Anna

[email protected]

1-702-714-7001 Extn: 9038

Neuroscience & Psychology Journals

Nathan T

[email protected]

1-702-714-7001Extn: 9041

Pharmaceutical Sciences Journals

John Behannon

[email protected]

1-702-714-7001Extn: 9007

Social & Political Science Journals

Steve Harry

[email protected]

1-702-714-7001 Extn: 9042

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords