Search

Recent Articles

IJMPO—A Journey of a Thousand Miles

Author : Padmaj S. Kulkarni

Coronavirus Disease 2019 Treatment—T-Cells Hold the Key in Severe Cases

Author : Kunal Das, Nitika Agrawal, Mansi Kala, Rakhee Khanduri

Why Is China Importing COVID-19 Vaccine Now?

Author : Purvish M. Parikh

Clinical Profile of Acute Myeloid Leukemia in North India and Utility of Nontransplant Measures in its Management

CC BY-NC-ND 4.0 ? Indian J Med Paediatr Oncol 2019; 40(S 01): S44-S53

DOI: DOI: 10.4103/ijmpo.ijmpo_175_17

Abstract

Introduction:?Acute myeloid leukemia (AML) is a clonal accumulation of myeloid precursors in body tissues, which ultimately leads to bone marrow failure. This is an 8-year prospective, observational study in which 254 patients were enrolled.?Aim of the Study:?To document the clinical profile of AML and differential outcome in M3 versus non-M3 phenotype and to see impact of different variables on its survival.?Methods:?Patients enrolled in the study were examined, evaluated, and given standard 3:7 induction protocol, and acute promyelocytic leukemia (APML) patients were given the ICAPL 2006 protocol.?Results:?In our study, males outnumbered females and most of our patients were in 20?60 years of age group. The better prognosis was in patients who were in the second decade of life. Total leukocyte count and platelet count had a significant impact on the survival of the a patient. Bone marrow morphology of M3 type has extremely good prognosis and was the most common FAB type seen in our study. Flow cytometric markers such as CD15, CD33, CD117, and myeloperoxidase had positivity among 90% of patients. Overall survival is around 40% in whole-study group, 87% in APML group, and 16.5% in non-M3 group. There are still unmet needs in managing the non-M3 patients in resource-constraint countries where allogenic transplant and newer drugs have the least access. For improving the outcome in M3 AML, further newer molecules such as Flt3 and PIK3 inhibitors are being used in trials.?Conclusion:?There are still unmet needs in managing the non-M3 patients in resource-constraint countries where allogenic transplant and newer drugs have the least access. For improving the outcome in M3 AML, further newer molecules such as Flt3 and PIK3 inhibitors are being used in trials.



Publication History

Article published online:
24 May 2021

? 2019. Indian Society of Medical and Paediatric Oncology. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).

Thieme Medical and Scientific Publishers Pvt. Ltd.
A-12, 2nd Floor, Sector 2, Noida-201301 UP, India

Abstract

Introduction:?Acute myeloid leukemia (AML) is a clonal accumulation of myeloid precursors in body tissues, which ultimately leads to bone marrow failure. This is an 8-year prospective, observational study in which 254 patients were enrolled.?Aim of the Study:?To document the clinical profile of AML and differential outcome in M3 versus non-M3 phenotype and to see impact of different variables on its survival.?Methods:?Patients enrolled in the study were examined, evaluated, and given standard 3:7 induction protocol, and acute promyelocytic leukemia (APML) patients were given the ICAPL 2006 protocol.?Results:?In our study, males outnumbered females and most of our patients were in 20?60 years of age group. The better prognosis was in patients who were in the second decade of life. Total leukocyte count and platelet count had a significant impact on the survival of the a patient. Bone marrow morphology of M3 type has extremely good prognosis and was the most common FAB type seen in our study. Flow cytometric markers such as CD15, CD33, CD117, and myeloperoxidase had positivity among 90% of patients. Overall survival is around 40% in whole-study group, 87% in APML group, and 16.5% in non-M3 group. There are still unmet needs in managing the non-M3 patients in resource-constraint countries where allogenic transplant and newer drugs have the least access. For improving the outcome in M3 AML, further newer molecules such as Flt3 and PIK3 inhibitors are being used in trials.?Conclusion:?There are still unmet needs in managing the non-M3 patients in resource-constraint countries where allogenic transplant and newer drugs have the least access. For improving the outcome in M3 AML, further newer molecules such as Flt3 and PIK3 inhibitors are being used in trials.


Introduction

Acute myeloid leukemia (AML) is a heterogeneous hematologic malignancy characterized by clonal expansion of myeloid blasts in the peripheral blood, bone marrow, and/or other tissues, which leads to impaired production of normal blood cells. Thus, leukemic cell infiltration in the marrow invariably leads to bone marrow failure manifesting in the form of anemia or thrombocytopenia, while absolute neutrophil count may be low or normal, depending on the total white cell count.[1]

The underlying pathophysiology in AML consists of a maturational arrest of bone marrow cells in the earliest stages of development. The mechanism of this arrest is under study, but in many cases, it involves the activation of abnormal genes through chromosomal translocations and other genetic abnormalities.[2] [3] Those genetic changes can be inherited or acquired to some environmental insult. AML accounts for approximately 20% of acute leukemia in children and 80% of acute leukemia in adults. The incidence of AML progressively increases with age, and in adults over the age of 65 years, the incidence is approximately 30 times the incidence of AML in children. The highest rate of childhood AML is in Asia and the lowest in North America and India.[4]

As per the SEER database, the number of new cases of AML was 4.2 per 100,000 men and women per year. The number of deaths was 2.8 per 100,000 men and women per year. These rates are age adjusted and based on 2010?2014 cases and deaths. AML is most frequently diagnosed among people aged 65?74 years. Median age at diagnosis is 68 years.[5]

The most common risk factor for AML is the presence of an antecedent hematologic disorder, the most common of which is myelodysplastic syndrome. Some congenital disorders that predispose patients to AML include Bloom syndrome, Down syndrome, congenital neutropenia, Fanconi anemia, and neurofibromatosis. Usually, these patients develop AML during childhood; rarely, some may present in young adulthood.

Radiation exposure, smoking, and exposure to benzene have been found to be associated with AML.

As more patients with cancer survive along their primary malignancy, the number of patients with AML increases because of exposure to chemotherapeutic agents. For example, the cumulative incidence of acute leukemia in patients with breast cancer who were treated with doxorubicin and cyclophosphamide as adjuvant therapy was 0.2%?1.0% at 5 years.[6]

Patients with previous exposure to chemotherapeutic agents can be divided into two groups: (1) those with previous exposure to alkylating agents and (2) those with exposure to topoisomerase-II inhibitors. Patients with a previous exposure to topoisomerase-II inhibitors do not have a myelodysplastic phase. Cytogenetic testing reveals a translocation that involves band 11q23. Less commonly, patients developed leukemia with other balanced translocations, such as inversion 16 or t(15;17).[7] The typical latency period between drug exposure and acute leukemia is approximately 3?5 years for alkylating agents/radiation exposure, but it is only 9?12 months for topoisomerase inhibitors.

The newer who classification is based on molecular markers and morphology [Table 1].[8] The European Leukemia Network has divided AML into three risk groups, as favorable-risk, intermediate-risk, and poor-risk groups [Table 2].[9]


Table 1

WHO classification of acute myeloid leukemia

AML and related neoplasms

AML ? Acute myeloid leukemia APL ? Acute promyelocytic leukemia; NOS ? Not otherwise specified; TAM ? Transient abnormal myelopoiesis

?AML with recurrent genetic abnormalities

?AML with t(8;21)(q22;q22.1); RUNX1-RUNX1T1

?AML with inv(16)(p13.1q22) or t(16;16)(p13.1;q22);

?CBFB-MYH11

?APL with PML-RARA

?AML with t(9;11)(p21.3;q23.3);MLLT3-KMT2A

?AML with t(6;9)(p23;q34.1);DEK-NUP214

?AML with inv(3)(q21.3q26.2) or t(3;3)(q21.3;q26.2); GATA2, MECOM

?AML (megakaryoblastic) with t(1;22)(p13.3;q13.3);

?RBM15-MKL1

?AML with mutated NPM1

?AML with biallelic mutations of CEBPA

AML with myelodysplasia-related changes

Therapy-related myeloid neoplasms

AML, NOS

?AML with minimal differentiation

?AML without maturation

?AML with maturation

?Acute myelomonocytic leukemia

?Acute monoblastic/monocytic leukemia

?Pure erythroid leukemia

?Acute megakaryoblastic leukemia

?Acute basophilic leukemia

?Acute panmyelosis with myelofibrosis

Myeloid sarcoma

Myeloid proliferations related to down syndrome

?TAM

?Myeloid leukemia associated with down syndrome

Table 2

2017 European leukemia net risk stratification of acute myeloid leukemia by genetics

Treatment is individualized as we have to distinguish M3 from non-M3 at the outset. For non-M3, induction is given which consists of mainly daunorubicin and cytarabine. Dosages of daunorubicin range from 45 to 90 mg/m2?given day 1?day 3, while cytarabine dosage is 100?200 mg/m2?given by 24 h infusion over 7 days. Recent studies have clearly shown dose of 60 mg/m2?better than 45 mg/m2, and then further, Burnett?et al. have clearly shown 60 mg/m2?better than 90 mg/m2?in terms of same complete remission (CR) and lower 60-day mortality. Idarubicin can also be used in the place of daunorubicin with the same outcome. CR rates in the age group of <50 href="https://www.thieme-connect.com/products/ejournals/html/10.4103/ijmpo.ijmpo_175_17#JR_10" xss=removed>10]

As per the SEER database, 5-year survival of AML is 26.9%.[5] Swaminathan?et al. reported a 5-year overall survival of 30% in the Madras Metropolitan Tumor Registry.[11] Philip?et al. reported the overall survival at 1 year of 70.4% ? 10.7%, 55.6% ? 6.8%, and 42.4% ? 15.6% in patients aged ?15 years, 15?60 years, and ?60 years, respectively.[12]

Aims and objectives

To document clinical profile of AMLTo see differential outcome in M3 versus non-M3 phenotypeTo see impact of different variables on its survival.


Methods

This was a hospital-based, observational study, spanned over 8 years, in which the first patient was enrolled in January 2009 and the last patient was enrolled in December 2015, and complete data were taken in December 2016, given 1 year of follow-up from the last patient enrollment. Ethical clearance for this study was obtained and the study was conducted in Hemato-oncology Department of Sheri Kashmir Institute of Medical Sciences, Srinagar, India. All age groups were taken into the study and those relapsed cases were excluded from the study.

Detailed history from patients/attendants was taken and recorded. After informed consent for examination, methods/procedures to be used, use of data for research work and/or publications, and complete physical examination of the patient were recordedPatients underwent the following investigations:

Complete blood count with peripheral smear, liver function tests, kidney function tests, lactate dehydrogenase level, blood sugar, uric acid, electrocardiogram, chest X-ray, urine examination, hepatitis and HIV serology, and electrolytesBone marrow aspiration and biopsy for morphology, cytochemistry, flow cytometry, and cytogenetics. For morphology of the bone marrow, Leishman stain was used. For cytochemistry, stains such as myeloperoxidase (MPO), Sudan black B, and periodic acid?Schiff were used. Cytogenetics was done by conventional karyotyping, in which at least 20 metaphases were analyzedDocumentation of complete hematologic remission and bone marrow remission after induction on morphology

Outcome of the treatment and the type of treatment received (standard treatment or supportive care)Survival duration since diagnosis up to the last censored date of December 30, 2016. Patients whose outcome was unknown were not taken for survival analysis. Outcome was correlated with different prognostic variablesPatients were divided into M3 (promyelocyte leukemia) and non-M3 myeloid leukemia.

The data were analyzed using descriptive statistics. The patients were divided into two groups, alive and dead. Qualitative variables were compared using the Chi-square test. A univariate analysis was carried out to identify the variables with a significant association with relapse or death. A ?P? <0>


Results and Observations

This was a hospital-based, observational study, spanned over 8 years, in which the first patient was enrolled in January 2009 and the last patient was enrolled in December 2015, and complete data were taken in December 2016, given 1 year of follow-up from the last patient enrollment. A total of 254 patients were enrolled. Average number of cases per year was 36 [Figure 1].


Risk category*

Genetic abnormality

ECOG ? Eastern Cooperative Oncology Group; PS ? Performance status; DM ? Diabetes mellitus; HTN ? Hypertension; HCT ? Hematopoietic cell transplantation; CI ? Comorbidity index; LDAC ? Low-dose cytarabine arabinoside; IC ? Induction chemotherapy; MDS ? Myelodysplastic syndrome; WBC ? White blood cell; Hb ? Hemoglobin; BM ? Bone marrow

Favorable

t(8;21)(q22;q22.1); RUNX1-RUNX1T1

Inv(16)(p13.1;q22) or t(16;16)(p13.1;q22); CBFB-MYH11

Mutated NPM1 without FLT3-ITD or with FLT3-ITD

Biallelic mutated CEBPA

Intermediate

Mutated NPM1 and FLT3-ITD high

Wild-type NPM1 without FLT3-ITD or with FLT3-ITD low (without adverse-risk genetic lesions)

t(9;11)(p21.3;q23.3); MLLT3-KMT2A

Cytogenetic abnormalities not classified as favorable or adverse

Adverse

t(6;9)(p23;q34.1); DEK-NUP214

t(v; 11q23.3); KMT2A rearranged

t(9;22)(q34.1;q11.2); BCR-ABL1

Inv(3)(q21.3q26.2) or t(3;3)(q21.3;q26.2); GATA2,MECOM(EVI1) -5 or del (5q); ?7; ?17/abn(17p)

Complex karyotype, monosomal karyotype

Wild-type NPM1 and FLT3-ITD high

Mutated RUNX1

Mutated ASXL1

Mutated TP53

|?Figure. 1? Study design|

Males were 142 and females were 112; ratio was 1.2:1. With respect to FAB type, i.e. M3 and non-M3, there was equal number of male and female. Patients were divided into four groups based on their age groups, viz., <10>61 years. Maximum patients belonged to 21?60 years of age (57.5%) and least patients belonged to <10>

The most common presenting symptoms were related to features of symptomatic anemia which were seen in 44.9% of the patients followed by fever (37.8%), followed by bleeding. In M3, most common symptoms were related to bleeding, while in non-M3, most common symptoms were related to anemia. Rarer presentations included symptoms of chloromas which was seen in periorbital areas, parotid, and uterus. Other rarer presentations include symptoms of hearing loss and recurrent boils, and few were incidentally discovered when investigations were done for another reasons [Table 3]. The most common sign was pallor (57.4%), organomegaly (22.4%) followed by lymphadenopathy (16.1%). Chloromas were seen in only 1.2% of patients. Pallor continued to be the most common sign after dividing patients into M3 and non-M3, with organomegaly and chloromas more common in non-M3 [Table 4].

Table 3

Presenting symptoms



Symptoms

Number of- patients/ percentages

AML type

Total

M3

Others

AML ? Acute myeloid leukemia

Anemia

Count

6

28

34

Percentage within AML type

10.3

24.1

19.5

Fever

Count

5

17

22

Percentage within AML type

8.6

14.7

12.6

Bleeding

Count

16

2

18

Percentage within AML type

27.6

1.7

10.3

Anemia+fever

Count

2

20

22

Percentage within AML type

3.4

17.2

12.6

Anemia + bleeding

Count

11

12

23

Percentage within AML type

19.0

10.3

13.2

Fever + bleeding

Count

8

10

18

Percentage within AML type

13.8

8.6

10.3

Anemia + fever +

Count

7

14

21

bleeding

Percentage within AML type

12.1

12.1

12.1

Others

Count

3

13

16

Percentage Within AML type

5.2

11.2

9.2

Total

Count

58

116

174

Percentage within AML type

100.0

100.0

100.0

Table 4

Presenting signs

Among laboratory profile, mean hemoglobin was 5.84 ? 0.5 g/dl and median hemoglobin was 5 g/dl. In both M3 and non-M3, hemoglobin was in the range of 5?10 g/dl. Total leukocyte count (TLC) of more than 11 ? 103/?l was seen in the majority of the patients. Mean TLC was 5.26 ? 1.17 ? 103/?l and median was 2.7 ? 103/?l. In M3, the most common presenting TLC was <4 xss=removed>3/?l, while in non-M3, the most common presenting TLC was >11 ? 103/?l. Majority of the patients presented with thrombocytopenia with a platelet count of <50 xss=removed>3/?l. Mean platelet count was 31.96 ? 1.17 ? 103/?l while median was 30 ? 103/?l. The most common platelet count of <50 xss=removed>3/?l was seen in both M3 and non-M3. Peripheral blood film (PBF) in majority of the patients has blast percentage of more than 50%. Mean of PBF blasts was 40.32% ? 0.8% and median was 39%.

AML was divided into different FAB types on the bone marrow morphology. Maximum cases (33%) had M3 type [Table 5] and [Figure 2a], [b]. Flow cytometry was available in 90 patients only and diagnostic yield was highest with CD13, CD33, CD117, and MPO. These markers were highly positive in approximately 90% of patients [Table 6]. Cytogenetic and molecular studies were available in 105 patients, and the most frequent cytogenetic abnormality found was of t(15; 17) [Table 7] and [Figure 3]. Bone marrow blast percentage of more than 80% was seen in majority of patients; only one case of erythroleukemia was found. Mean bone marrow blast percentage was 73.3% ? 22.5% and median was 80.5%.


Signs

Number of- patients/ percentages

AML type

Total

M3

Others

LAP ? Leukocyte alkaline phosphatase; AML ? Acute myeloid leukemia

Pallor

Count

31

46

77

Percentage within AML type

58.5

41.8

47.2

LAP

Count

0

2

2

Percentage within AML type

0.0

1.8

1.2

Organomegaly

Count

2

2

4

Percentage within AML type

3.8

1.8

2.5

Gingival hyperplasia

Count

1

0

1

Percentage within AML type

1.9

0.0

0.6

Chloroma

Count

0

3

3

Percentage within AML type

0.0

2.7

1.8

Pallor + LAP

Count

1

9

10

Percentage within AML type

1.9

8.2

6.1

LAP + organomegaly

Count

0

2

2

Percentage within AML type

0.0

1.8

1.2

Pallor + organomegaly

Count

7

18

25

Percentage within AML type

13.2

16.4

15.3

Pallor + LAP + organomegaly

Count

1

12

13

Percentage within AML type

1.9

10.9

8.0

Pallor + LAP + organomegaly + gingival hyperplasia

Count

3

6

9

Percentage within AML type

5.7

5.5

5.5

Others

Count

2

3

5

Percentage within AML type

3.8

2.7

3.1

Normal

Count

5

7

12

Percentage within AML type

9.4

6.4

7.4

Total

Count

53

110

163

Percentage within AML type

100.0

100.0

100.0

Table 5

Rone marrow morphology (FAR types)

FAB type

Frequency (%)

MDS ? Myelodysplastic syndrome; AML ? Acute myeloid leukemia

M0

8(3.1)

M1

34 (13.4)

M2

58 (22.8)

M3

64 (25.2)

M4

8(3.1)

M5

5 (2.0)

M6

8 (3.1)

M7

3 (1.2)

MDS progress to AML

6 (2.4)

Total

194 (76.4)

Unknown

60 (23.6)

Total

254 (100.0)

|?Figure. 2 (a)? Promyelocytes with granular cytoplasm. (b) With Auer rods|

Table 6

Flow cytometry analysis of patients


Flow cytometry

Frequency (%)

Total

Positive

Negative

MPO ? Myeloperoxidase; CD ? Cluster differentiation

CD11b

24 (25.3)

71 (74.7)

95

CD11c

9 (9.7)

84 (90.3)

93

CD13

87 (87.9)

12 (12.1)

99

CD15

47 (50.0)

47 (50.0)

94

CD19

10 (12.8)

68 (87.2)

78

CD33

95 (95.0)

5 (5.0)

100

CD34

53 (54.6)

44 (45.4)

97

CD36a

16 (18.6)

70 (81.4)

86

CD41

3 (3.2)

91 (96.8)

94

CD45

88 (88.9)

11 (11.1)

99

CD56

10 (11.6)

76 (88.4)

86

CD61

2 (2.1)

92 (97.9)

94

CD64

42 (48.8)

44 (51.2)

86

CD113

4 (4.7)

81 (95.3)

85

CD117

83 (83.8)

16 (16.2)

99

CD123

40 (46.0)

47 (54.0)

87

MPO

97 (89.0)

12 (11.0)

109

Table 7

Cytogenetics and molecular nrofile

Frequency (%)

AMPL ? Acute promyelocytic leukemia

t(15;17)

57 (22.4)

t(8;21)

3 (1.2)

Complex

5 (2.0)

Del 5

1 (0.4)

Del 7

2 (0.8)

AMPL variant

4 (1.6)

Normal

24 (9.4)

Trisomy 21

1 (0.4)

Del 11

1 (0.4)

t(11;12)

1 (0.4)

t(9;11)

1 (0.4)

Del 12

1 (0.4)

Inv(16)

3 (1.2)

t(1;7)

1 (0.4)

Total

105 (41.3)

Unknown

149 (58.7)

Total

254 (100.0)

|?Figure. 3 (a)? Conventional karyotype revealing t(8;21)|

In our total of 254 patients, maximum patients were M3 phenotype, and around one-fourth of patients belonged to APML, proven by reverse transcription-polymerase chain reaction [Table 5]. To all patients of APML, the standard ICAPL-2006 protocol was used, with a dose of ATRA of 45 mg/m2. Treatment was individualized on the basis of risk, low or high risk, depending upon TLC count of less or more than10,000/?l, respectively. Hence, of 254 patients, 25% (64) patients were APML and 190 (75%) were non-M3, either phenotypically or non-t(15;17). Of 190 patients, only 127 (67%) patients received treatment. All non-M3 patients received standard treatment depending upon performance status and age. Only five patients received low-dose cytarabine, and rest 122 patients received standard 3:7 induction regimen. Cytarabine was given 200 mg/m2?for 7 days with daunorubicin at a dose of 45 mg/m2?or 60 mg/m2. Remission was assessed on average of day 45 of APML protocol and day 28 of 3:7 protocol [Table 8]. There was no difference in outcome in different doses of daunorubicin. Around 2.2% of APML patients were refractory to initial treatment induction, 1.6% succumbed during induction, and 16.0% of non-M3 did not achieve CR with 20.8% induction deaths. Of 97 patients of non-M3 phenotype, only 61 patients were available to high-dose cytosine arabinoside consolidation of 3 g/m2?[Table 9].



Table 8

Phenotype and remission status

Phenotype

Number of patients

Treatment received

No treatment received

Percentage of patients

Valid percentage

CR status (%)

CR ? Complete remission; APML ? Acute promyelocyte leukemia

M3 or APML

64

64

0

25

100

96.2

Non-M3

190

95

95

75

50

63.2

Table 9

Consolidation status of non-M3 patients

Effect of different variables on overall and event-free survival was studied. Sex had no significant impact, but age had significant impact on survival. There was a statistically significant relationship between age group and outcome (P?< 0>60 years (88.9%). The odds ratio of death was 8.0 (95% confidence interval [CI] 1.626, 39.354) times more in the age group of >60 years as compared to the age group of <10>Table 10]. Smoking of any kind also had significant impact on final outcome of patient [Table 11].



Number of Ara-C cycles in consolidation

Number of patients available (%)

Valid percentage

3 cycles

35 (13.8)

50.0

4 cycles

18 (7.1)

33.1

<3>

1 (0.4)

1.4

Table 10

Impact of age on final outcome


Number of patients/ percentages

Outcome

Total

P Value (Chi-square test)

Odds Ratio (95% CI)

Alive

Dead

Age

<10>

Count

7

7

14

<0>

% within Age

50.0%

50.0%

100.0%

11-20 years

Count

28

14

42

0.500 (0.146, 1.708)

% within Age

66.7%

33.3%

100.0%

|?Figure. 1? Study design|

|?Figure. 2 (a)? Promyelocytes with granular cytoplasm. (b) With Auer rods|

|?Figure. 3 (a)? Conventional karyotype revealing t(8;21)|

|?Figure. 4? Figure 4: Multivariate analysis revealing lowest hazard for acute promyelocytic leukemia (M3)

|?Figure. 5? Overall survival curve with 87% and 16% survival at 80 months for M3 and non-M3 types, respectively. (b) Overall survival was 40% at 80 months

  • References

  1. Lichtman MA, Beutler E, Kipps TJ, Seligsohn U, Kaushansky K.?Acute myelogenous leukemia. Williams Hematology. Malignant Diseases. Part IX. Ch. 87 7th ed. McGraw-Hill; 2006
  2. Vardiman JW, Harris NL, Brunning RD.?The World Health Organization (WHO) classification of the myeloid neoplasms. Blood 2002; 100: 2292-302
  3. Smith MT, Skibola CF, Allan JM, Morgan GJ.?Causal models of leukaemia and lymphoma. IARC Sci Publ 2004; 157: 373-92
  4. Ghosh S, Shinde SC, Kumaran GS, Sapre RS, Dhond SR, Badrinath Y. et al.?Haematologic and immunophenotypic profile of acute myeloid leukemia: An experience of Tata memorial hospital. Indian J Cancer 2003; 40: 71-6
  5. Howlader N, Noone AM, Krapcho M, Miller D, Bishop K, Kosary CL. et al. editors?SEER Cancer Statistics Review, 1975-2014. Bethesda, MD: National Cancer Institute; Available from: http://www.seer.cancer.gov/csr/1975_2014/based/on/November/2016/SEER/data/submission/posted/to/the/SEER/web/site/. [Last accessed on 2017 Apr].
  6. Smith RE, Bryant J, DeCillis A, Anderson S.?National Surgical Adjuvant Breast and Bowel Project Experience. Acute myeloid leukemia and myelodysplastic syndrome after doxorubicin-cyclophosphamide adjuvant therapy for operable breast cancer: The National Surgical Adjuvant Breast and Bowel Project Experience. J Clin Oncol 2003; 21: 1195-204
  7. Andersen MK, Larson RA, Mauritzson N, Schnittger S, Jhanwar SC, Pedersen-Bjergaard J. et al.?Balanced chromosome abnormalities inv(16) and t(15;17) in therapy-related myelodysplastic syndromes and acute leukemia: Report from an international workshop. Genes Chromosomes Cancer 2002; 33: 395-400
  8. Arber DA, Orazi A, Hasserjian R, Thiele J, Borowitz MJ, Le Beau MM. et al.?The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood 2016; 127: 2391-405
  9. D?hner H, Estey E, Grimwade D, Amadori S, Appelbaum FR, B?chner T. et al.?Diagnosis and management of AML in adults: 2017 ELN recommendations from an international expert panel. Blood 2017; 129: 424-47
  10. NCCN Clinical Practice Guidelines in Oncology.?Acute Myeloid Leukemia: Version 1.2017. National Comprehensive Cancer Network. Available from: http://www.NCCN/Clinical/Practice/Guidelinesin/Oncology/Acute/Myeloid/Leukemia/Version/1.2017. [Last accessed on 2017 Feb 24].
  11. Swaminathan R, Rama R, Shanta V.?Childhood cancers in Chennai, India, 1990-2001: Incidence and survival. Int J Cancer 2008; 122: 2607-11
  12. Philip C, George B, Ganapule A, Korula A, Jain P, Alex AA. et al.?Acute myeloid leukaemia: Challenges and real world data from India. Br J Haematol 2015; 170: 110-7
  13. Appelbaum FR, Gundacker H, Head DR, Slovak ML, Willman CL, Godwin JE. et al.?Age and acute myeloid leukemia. Blood 2006; 107: 3481-5
  14. Pouls RK, Shamoon RP, Muhammed NS.?Clinical and haematological parameters in adult AML patients: A four year experience at Nanakaly hospital for blood diseases. Zanco J Med Sci 2012; 16: 2012
  15. Varadarajan R, Licht AS, Hyland AJ, Ford LA, Sait SN, Block AW. et al.?Smoking adversely affects survival in acute myeloid leukemia patients. Int J Cancer 2012; 130: 1451-8
  16. Cheng Y, Wang Y, Wang H, Chen Z, Lou J, Xu H. et al.?Cytogenetic profile of de novo acute myeloid leukemia: A study based on 1432 patients in a single institution of China. Leukemia 2009; 23: 1801-6
  17. Ayesh M, Khassawneh B, Matalkah I, Alawneh K, Jaradat S.?Cytogenetic and morphological analysis of de novo acute myeloid leukemia in adults: A single center study in Jordan. Balkan J Med Genet 2012; 15: 5-10
  18. Schlenk RF, D?hner K, Krauter J, Fr?hling S, Corbacioglu A, Bullinger L. et al.?Mutations and treatment outcome in cytogenetically normal acute myeloid leukemia. N Engl J Med 2008; 358: 1909-18
//