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Cytogenetic profile of 1791 adult acute myeloid leukemia in India

Abstract

Background

Cytogenetic analysis continues to have an important role in the management of acute myeloid leukemia (AML) because it is essential for prognostication. It is also necessary to diagnose specific categories of AML and to determine the most effective form of treatment. Reports from South Asia are few because the availability of cytogenetic services is relatively limited.

Methods

We performed a retrospective analysis of the cytogenetic findings in adults with AML seen consecutively in a single centre in India. The results were categorised according to the 2022 World Health Organisation (WHO), International Consensus Classification (ICC) and European LeukemiaNet (ELN) classifications.

Results

There were 1791 patients aged 18–85 years (median age 42, 1086 males). Normal karyotypes were seen in 646 (36%) patients. The 1145 (64%) abnormal karyotypes comprised 585 (32.7%) with recurrent genetic abnormalities (RGA), 403 (22.5%) with myelodysplasia-related cytogenetic abnormalities (MRC), and 157 (8.8%) with other abnormalities. There were 567 (31.7%) patients with solitary abnormalities and 299 (16.7%) with two abnormalities. Among the 279 (15.6%) patients with ≥ 3 abnormalities, 200 (11.2%) had complex karyotypes (CK) as per the WHO/ICC and 184 (10.3%), as per the ELN definition. There were 158 (8.8%) monosomal karyotypes (MK). Patients with normal karyotypes had a higher median age (45 years) than those with abnormal karyotypes (40 years, p < 0.001), and those with ≥ 3 abnormalities (43 years), than those with fewer abnormalities (39 years, p = 0.005). Patients with CK (WHO/ICC) and monosomal karyotypes had a median age of 48 years. Those with RGA had a lower median age (35 years, p < 0.001) than MRC (46 years) or other abnormalities (44 years). The t(15;17) was the most common abnormality (16.7%),followed by trisomy 8 (11.6%), monosomy 7/del 7q (9.3%), t(8;21) (7.2%), monosomy 5/del 5q (6.7%) and monosomy 17/del 17p (5.2%).

Conclusion

Our findings confirm the lower age profile of AML in India and show similarities and differences with respect to the frequencies of individual abnormalities compared to the literature. The frequencies of the t(15;17), trisomy 8 and the high-risk abnormalities monosomy 7 and monosomy 5/del 5q were higher, and that of the inv(16), lower than in most reports.

Background

Cytogenetic analysis continues to be an important part of the work up of acute myeloid leukemia (AML) because the chromosomal constitution of a leukemia has a major impact on prognosis [1]. It is also essential for the diagnosis of two categories which are based upon the presence of specific cytogenetic abnormalities, namely, AML with recurrent genetic abnormalities (AML-RGA) and AML with myelodysplasia-related cytogenetic changes (AML-MRC) [2,3,4,5,6,7,8]. Morphological evidence of dysplasia alone is no longer a criterion for the diagnosis of AML-MRC in the most recent (2022) classifications of AML provided by the World Health Organisation (WHO), The International Consensus Classification of AML (ICC) and the European LeukemiaNet [6,7,8]. The pre-treatment karyotype is also used to assign patients to risk groups in order to determine whether standard therapies or more intensive forms of treatment are likely to be most effective [1, 9]. The presence of multiple abnormalities signifies that there is disease progression [1]. Chromosomal abnormalities have been described in over half of AML in adults but the frequency of specific cytogenetic abnormalities varies in different parts of the world [1, 10, 11]. It is also well-documented that the median age of AML patients in Western countries and Japan is about two decades higher than in the rest of the world [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31]. Whether this is related to different pathogenic processes or is a reflection of the younger population profile is unclear. Reports of cytogenetic changes in AML from South Asian countries are limited, because a large proportion of patients do not have access to diagnostic technologies other than morphology [29,30,31,32]. We describe the chromosomal abnormalities seen in a large group of adult patients with AML diagnosed consecutively at our centre over 15 years and compare our findings with the literature.

Patients and methods

Patients

Karyotypes of all patients with AML aged ≥ 18 years seen at the Christian Medical College, Vellore between 2003 and 2017 and who underwent cytogenetic analysis at diagnosis were included in the analysis. Patients who had received chemotherapy and those with normal karyotypes with < 15 analysable metaphases were excluded.

Cytogenetic analysis

Conventional cytogenetic analysis was performed on unstimulated overnight (or 48-h) cultures of bone marrow using standard protocols, and results reported as per the International System for Human Cytogenomic Nomenclature (ISCN) [33, 34]. Fluorescence in-situ hybridization (FISH) analysis was performed if the bone marrow morphology suggested that a specific abnormality could be present, to confirm a suspected abnormality if the chromosome morphology was suboptimal or to establish base-line values for follow-up post treatment.

Descriptions of abnormalities

We used the terminology and definitions that most resembled the WHO 2016 and earlier classifications of AML for ease of comparison with previous studies because of slight differences between the 2022 WHO, ICC and ELN classifications of AML with respect to the definitions of MRC and complex karyotypes (CK) and the terminology used to describe the subtypes [6,7,8]. Therefore, we used the WHO/ICC definitions to describe complex karyotypes (≥ 3 abnormalities in the absence of class-defining RGA) unlike the ELN definition which also excluded hyperdiploid karyotypes without structural abnormalities (≥ 3 trisomies/polysomies only). Even though trisomy 8, monosomy 17 and the del 20q were termed MRC only by the ICC/ELN and the del 11q and del 13q/monosomy 13, only by the WHO, we categorised all these abnormalities as MRC. Monosomal karyotypes (MK) were those with two or more autosomal monosomies, or one single autosomal monosomy in addition to one or more structural chromosome abnormalities other than core-binding factor AML[8]. Apart from numerical abnormalities, balanced translocations (t) and unbalanced structural rearrangements were regarded as single abnormalities. Each abnormality in a karyotype was recorded separately to determine its absolute frequency and categorised as RGA, MRC or other. The karyotypes were also categorised hierarchically as described by Moorman et al., with each being assigned to only one of four mutually exclusive groups in the following sequence: translocations, inversions and insertions; deletions and monosomies; trisomies and duplications; normal karyotypes [35].

Statistical analysis

Statistical analysis was performed using STATA 16 (Statcorp). One-way ANOVA was used to compare age differences between groups. We compared our findings with the West (Europe, U.K, USA and Australia), South-East (S.E) Asia (China, Hong Kong, Singapore, Malaysia, South Korea and Japan) and North (N.) Africa (Tunisia, Morocco and Egypt). Weighted average percentages of each abnormality were determined for all three regions (upto 18,850, 8971 and 1646 patients from the West, S.E Asia and N. Africa respectively) and the frequencies compared with our study using the one-sample proportion test. The value p < 0.05 was considered to be significant.

Results

Overview of patient characteristics and cytogenetic abnormalities (Table 1 )

Table 1 Overview of 1791 adult patients with AML

There were 1860 patients with adult AML who presented at diagnosis, of whom 1791 (96.3%) fulfilled the criteria for inclusion. Patients ranged from 18–85 years (median 42 years); 1085 (60.6%) were males. Normal karyotypes were seen in 646 patients (36.1%) and were determined by analysis of ≥ 20 metaphases in 89% of patients and 15–19 metaphases in the remaining 11%. There were 1145 (63.9%) patients with abnormal karyotypes.

Solitary abnormalities were seen in 567 (31.7%) patients and two abnormalities in 299 (16.7%). There were 279 (15.6%) patients with ≥ 3 abnormalities including 79 with RGA; thus, there were 200 (11.2%) complex karyotypes as per the WHO/ICC classifications, and 184 (10.3%) as per the ELN definition, exclusive of 16 karyotypes with hyperdiploidy and no structural abnormalities. Monosomal karyotypes were seen in 158 (8.8%) patients, 123 (77.8%) of which were complex. Categorisation of abnormal karyotypes according to the 2022 WHO, ICC and ELN classifications showed RGA in 585 (32.7%) patients, MRC in 403 (22.5%), and abnormalities other than RGA or MRC (other abnormalities) in the remaining 157 (8.8%). Hierarchical (Moorman) classification of abnormal karyotypes showed 606 (33.8%) translocations, 323 (18%) deletions and 216 (12%) trisomies. These findings are shown in Table 1.

Age distribution (Table 1 , Figs. 1 and 2 )

Fig. 1
figure 1

Age distribution: A. All patients, normal and abnormal karyotypes. B. One, two and three or more abnormalities, complex karyotypes and monosomal karyotypes. C. Abnormalities as per Moorman classification. D. Types of abnormalities/subtypes

Fig. 2
figure 2

Age distribution of A. Common RGA. B. Common MRC and other abnormalities

Patients with normal karyotypes had a higher median age than those with abnormal karyotypes (45 vs 40 years, p < 0.001). Patients with ≥ 3 abnormalities also had a higher median age (43 years) than those with one or two abnormalities (39 years, p = 0.005) (Additional file 1). Patients with CK (WHO/ICC) had the highest median age (48 years, p < 0.001).

The number of patients progressively increased upto the fifth decade (68%) and declined subsequently (13% above 60 years) (Fig. 1A). The age distributions of normal and abnormal karyotypes were similar to the overall distribution, even when the latter was categorised into subgroups. However, there were differences in the age at which each category was most common. Normal karyotypes peaked a decade later (40–59 years) than abnormal karyotypes (Fig. 1A). Karyotypes with ≥ 3 abnormalities had almost the same frequency at 21–29 years (22%) and 40–59 years (20% each) (Fig. 1.B). Complex karyotypes and monosomal karyotypes (25% each), deletions (22%) and trisomies (23%) were most common at 50–59 years of age, two decades later than those with one or two abnormalities or translocations (Fig. 1.B & 1.C). The RGA were most common (29%) at 30–39 years of age, two decades earlier than MRC (22% at 50–59 years). Other abnormalities were also most common (22%) at 30–39 years; however, AML-NOS comprising other abnormalities and normal karyotypes was most common at 40–59 years (Fig. 1.D). The age distribution of the most common abnormalities is shown in Fig. 2.

Cytogenetic subtypes (Tables 2, 3, 4 )

Table 2 Recurrent genetic abnormalities in AML
Table 3 Myelodysplasia-related cytogenetic abnormalities
Table 4 Abnormalities other than RGA and MRC (n =  ≥ 20)

The t(15;17) was our most common abnormality (16.7%), followed by trisomy 8 (11.6%), monosomy 7/del 7q (9.3%), the t(8;21) (7.2%), monosomy 5/del 5q (6.7%) and monosomy 17/del 17p (5.2%).

Recurrent Genetic Abnormalities (RGA) (Table 2 )

The t(15;17) accounted for over half (51%) of the 585 RGA. An isoderivative 17q resulting in loss of 17p was present in seven patients (2.3%). There were three (1%) variant translocations: a t(11;17)(q23;q21), an unbalanced t(5;17)(q35;q21) and a three-way translocation involving chromosome 5q13. The t(8;21) was the next most common RGA (22%) RGA, with four (3.1%) variant translocations comprising three three-way translocations involving chromosomes 3q21, 6p23 and 12q15 and a four-way translocation involving chromosomes 1q22 and 13q34.

The inv(16)(p13.1q22)/t(16;16)(p13.1q22) and the inv(3)(q21q26)/t (3;3) (q21;q26) had similar frequencies (5.3% and 5.5% of RGA respectively). Translocations of chromosome 11q23 (KMT2A/MLL) accounted for 7% of all RGA, and the remaining RGA for ≤ 3% each. The inv(16), NUP98 translocations and the rare RGA were more common in females (M:F ratios 1:1.4, 1:1.7 and 1:1.5 respectively) although the latter two were few in number; other 11q23 translocations were equally common in males and females (Additional file 2). Additional cytogenetic abnormalities (ACA) were seen in almost half (46.2%) of all RGA, comprising the majority (57–84.5%) of the t(8;21), inv(3) /t(3;3), t(9;22) and t(9;11). The most common associations were: loss of a sex chromosome (57.4%) with the t(8;21), monosomy 7 (46.9%) with the inv(3)/t(3;3), trisomy 8 (35.7%) with the t(9;11) and trisomy 8 (22.6%) and trisomy 22 (19.4%) with the inv(16)/t(16;16). Trisomy 8 (9.4%) was also the most common ACA associated with the t(15;17) which was usually solitary (70%). Compared to the t(15;17), the median age of the t(8;21) was slightly lower (33 vs 35 years, p = 0.04), that of the inv(3)/t(3;3) was higher (41 vs 35 years, p = 0.02) while the other RGA were comparable. These findings are shown in Table 2.

Myelodysplasia-related cytogenetic abnormalities (MRC) (Table 3 )

There were 403 (22.5%) patients with MRC as defined by the WHO and the ICC/ELN classifications. The most common MRC were trisomy 8 (11.6%), monosomy 7 (6.8%)/del 7q (2.5%), del 5q (3.6%) and monosomy 17 (3.5%). The idic(X)(q13) was not present. The del 13q and t 7q were slightly more common in women (M:F ratio 1:1.3–1.5). The majority (67.8–100%) of each MRC had ACA. The most frequent associations were: trisomies 8 and 21 (17.3%), monosomies 7 and 5 (20.5%), monosomy 7/del 7q and monosomy 5/del 5q (31.7%), and monosomy 17 with monosomies 5 and 18 (41.3% each). RGA were associated with 7–25% of each MRC except the del 20q. Monosomy 13 (100%) and the majority of monosomy 17, del 13q (89% each), del 11q (78.6%) and del 5q (67.7%) and almost half 44–49%) of the other MRCs were part of karyotypes with ≥ 3 abnormalities. The median age of patients with trisomy 8 (43 years) was lower than those with most of the other MRC (49–59.5 years, p =  < 0.05). Monosomy 7/del 7q and monosomy 5/del 5q were seen concurrently in 53 (13.2%) patients. These findings are summarised in Table 2.

Abnormalities other than RGA and MRC (Table 4 ):

There were 157 (8.8%) patients with these abnormalities, the most common being trisomy 21 (4.6%) and minus Y (4.5%). Monosomies 5, 11, 12, 14, 16, 21 and 22 were always present in karyotypes with ≥ 3 abnormalities. The majority (upto ~ 95%) of each of the other abnormalities in this group were also part of such karyotypes except for minus Y, minus X, del 9q and trisomy 4 which were often associated with RGA. The other trisomies reported in AML (trisomies 4, 6, 11, 13,14 and 19) were seen in 2–3% of patients. Monosomy 5 was associated with a significantly higher median age (53 vs.36–43 years, p < 0.001 to p = 0.02) than several others in this group (trisomies 4, 6, 9,19,21 and 22, del 6q, del 9q, minus X and minus Y). These findings are summarised in Table 4. There were 40 (2.2%) balanced translocations other than AML-RGA including four which were previously (WHO 2016) termed myelodysplasia-related, namely, the t(1;16)(p31;q24), t(1;21)(p36;q22), t(4;12)(q12;p13) and t(5;12)(q32;p13.2). The remaining 36 (2.1%) were novel translocations of which 16 involved 7q, 5q, and 3q (four each), 12p13 (three) and 21q22 (one), including one t 7q17p and one t 3q12p each (Additional file 3).

Complex karyotypes

The 200 CK included 109 (54.5%) with abnormalities of chromosomes 5 and/or 7.

Monosomy 5 or del 5q was present in 84 (46.5%) CK and monosomy 7 or del 7q in 62 (33.5%); these abnormalities were concurrent in 45 (22.5%) CK. CK with abnormalities of chromosomes 5 and 7 had a greater number of aberrations (3–28, median 10) than those without these abnormalities (3–23, median 4). These patients also had a higher median age (53 years, range 18–82 years) than those without these abnormalities (40 years, range 18–72 years). Other abnormalities frequently associated with CK were monosomies 17 and 18 in 51 (25.5%) and 42 (21%) karyotypes respectively and trisomies 8 and 21 in 61 (30.5%) and 43 (21.5%) karyotypes respectively. (Additional file 4).

Monosomal karyotypes

There were 158 (8.8%) MK comprising 135 (7.5%) with ≥ 3 abnormalities and 23 (1.5%) with two abnormalities; 123 (77.8%) karyotypes were complex.. The MK included 23 (14.5%) AML-RGA which were distributed as follows: inv(3), n = 11; t(3;3), n = 5; t (9;22), n = 6 and t(9;11), n = 1. Twelve of the AML-RGA had ≥ 3 abnormalities. Monosomy 7 was seen in 72 (45.6%). MK, with 17 (43.5%) associated with RGA. Monosomies 5, 17, 18, 16 and 12 were the other common monosomies seen in 51 (32.3%), 49 (31%), 42 (26.6%), 34 (21.5%) and 30 (19%) MK respectively. Monosomy 5 was associated with one or more additional monosomies in all but one of these karyotypes. Monosomies 5 and 7 were seen concurrently in 22 (13.9%) MK.

Categorisation into cytogenetic risk groups:

There were 459 (25.6%) patients whose karyotypes were in the favourable risk group and 374 (21%) in the unfavourable risk group which comprised 96 (5.4%) RGA, 78 (4.4%) high-risk MRC, namely, del 5q/monosomy 5, monosomy 7, monosomy 17/abn 17p and 200 (11.2%) CK. The 958 (53.5%) patients in the intermediate risk group consisted of 312 (17.4%) patients with abnormal karyotypes and 646 (36.1%) with normal karyotypes. The abnormal karyotypes in the intermediate risk group comprised 31 (2%) with RGA, 121 with MRC (6.8%) and 160 (15.7%) with other abnormalities (Additional file 5).

Discussion

We have described the demographic and cytogenetic profile of a large series of consecutively evaluated adult patients with AML presenting to a tertiary care centre for haematological disorders in southern India and compared our findings with the West, S.E.Asia and N.Africa (upto 18,850, 8971 and 1646 patients respectively as shown in Tables 5, 6, 7 and Additional files 6–8) [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28]. These reports varied with respect to the criteria used for inclusion as shown in Tables 5, 6, 7. Some studies categorised patients hierarchically [9, 11, 13, 16, 22, 25]. Others did not include one or more of the following major abnormalities: the t(15;17), the inv(16) and trisomy 8 [9, 11, 12, 15, 19]. However, the age at presentation and patterns of cytogenetic abnormalities were fairly consistent in each geographic region, barring one or two studies in which some frequencies differed from others in the same region [15, 20, 24, 27, 28].

Table 5 Comparison of findings with Western literature
Table 6 Comparison of findings with reports from South-East Asia
Table 7 Comparison of findings with reports from North Africa & South Asia

Comparison of age distribution (Tables 5, 6, 7 )

The median age of our patients was lower than in the West (42 vs 52–66 years) as shown in Table 5 even when similar age groups were compared (39 vs 44 years in those ≤ 59 years as reported by Grimwade et al.) [9, 10, 13,14,15, 17, 18]. It was also lower than in one study from Japan (mean age 51.4 years) but comparable to another, as well as the rest of Asia and N. Africa (37–48 years) [11, 17, 19,20,21,22,23,24,25,26,27,28]. The lower age in most of Asia and N. Africa (Tables 6 and 7 respectively) could be due to geographic and/or ethnic differences in the response to environmental factors that predispose to the development of leukemia.

The decline in the number of patients after the sixth decade (13% ≥ 60 years) was similar to several reports from Asia (14–24% ≥ 60 years) but unlike Korea and the West (34–77% ≥ 60 years) [11, 15, 16, 18, 21,22,23,24,25, 35]. The age distribution of abnormalities was also approximately the same across each decade unlike the West in which deletions and trisomies increased with age (51% and 35% respectively in those ≥ 60 years) [12, 13, 15, 35]. The peak age of our normal karyotypes (40–49 years) was two decades lower than in the West (≥ 60 years); it differed from both Malaysian reports (50–59 years and ≤ 30 years) [12, 15, 16, 21, 24, 25, 35].

Our t(15;17), t(8;21) and inv(16), though seen in all age groups, were most common in patients below 40 years, similar to most reports from S.E.Asia [11, 21, 24, 25]. However, the t(15;17) and t(8;21) were equally common at 40–49 years (28% and 25% respectively) in one Chinese study each [11, 21]. In contrast, the peak frequencies of RGA varied from 20–29 years to 40–49 years in the West [15, 16, 35].

Trisomy 8 was most common in the age group 40–49 years and abnormalities of chromosomes 5 and 7 (high-risk abnormalities) at 50–59 years, one to two decades earlier than in the West (60- > 80 years) [16, 35]. The age distribution of these abnormalities which were relatively uncommon in most of S.E.Asia were similar to our study [11, 21, 25]. Deletions are thought to be more common in older individuals because they are considered to be a result of cumulative DNA damage [1, 35] (Fig. 3).

Fig. 3
figure 3

A. Karyotype: 46,XY,t(15;17)(q24;q21). B. FISH: dual colour, dual fusion probe for chromosome 15 (PML, red) and chromosome 17 (RARA, green). Arrows show fusion signals on both derivative chromosomes. C. Karyotype: 46,XX,+8, inv (16)(p13.1q22). D. FISH, dual colour break-apart rearrangement probe for chromosome 16q22.1 (CBFB). Fusion signal on normal chromosome 16 (red, 5’CBFB; green, 3’CBFB). Arrow shows the derivative chromosome 16 with separate red and green signals. Karyotypes are G-banded. FISH from Abbott Molecular, Des Plaines, IL, USA)

Comparison of frequency of abnormalities (Tables 5, 6 7 & Fig. 4 )

Fig. 4
figure 4

Comparison of weighted averages: A. Normal and abnormal karyotypes. B. Common RGA and complex karyotypes C. Other RGA. D. Common MRC and other abnormalities

The frequency of abnormal karyotypes in our study (64%) was comparable to the literature (55–65%) except for one report each from Malaysia (31%), Pakistan (39%) and Germany (42%); these lower frequencies could be because some abnormalities were cryptic, not detected, or excluded from the analysis [1, 12, 24, 29]. Karyotypes with ≥ 3 abnormalities were seen in 15.6%, comparable to the West but more common (p < 0.001) than in S.E Asia (9%) and N. Africa (8%) [9,10,11,12,13,14,15,16, 18,19,20,21,22,23,24, 26,27,28]. The frequency of complex karyotypes as defined by the WHO/ICC was reported only by Meng et al. and was lower (7.2%) than in our study (11.2%) [24]. These findings are summarised in Tables 5, 6, 7 The frequency of monosomal karyotypes determined by conventional cytogenetic analysis was comparable to the literature (8.8% vs 6–14%) [10, 15, 23, 27, 36, 37].

A comparison of the frequencies of our common abnormalities with the literature is shown in Additional files 6–8 and Fig. 4. The t (15;17), our most common abnormality (16.7%), had a higher frequency (p < 0.001) than in the West (9.6%) and N. Africa (7.7%) and S.E. Asia (13.1%) [10, 11, 13, 14, 16,17,18, 20,21,22,23,24,25,26,27,28]. Its frequency was low (< 4%) in Morocco and Malaysia, where it was not the most common abnormality [24, 27]. The higher frequency of the t(15;17) in most of S.E Asia (11–17% in all but one study) compared to the West could be related to the younger age at presentation, as well as genetic and ethnic factors that predispose individuals to breakage of the PML gene [22, 38]. The high frequency in our study could also be because ours is a referral centre for acute promyelocytic leukemia having initiated arsenic trioxide treatment very early in India. The t(15;17) can be overlooked in karyotypes with suboptimal morphology. FISH analysis was done in most of our patients with/suspected to have acute promyelocytic leukemia, for confirmation, and to establish baseline values for assessment of cytogenetic response post treatment.

The frequency of the t(8;21), our second most common translocation (7.2%) was higher than in the West (4.5%, p < 0.001) but lower than in S.E. Asia and N. Africa (11.3% and 12% respectively, p < 0.001) [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28]. Its frequency was far higher in Japan (13% and 18%) and Morocco (12.5%), where it was the most common abnormality, Tunisia (12%) and a report from China (15%) [17, 19, 21, 26, 27]. We had fewer patients (1.7%, p < 0.001) with the inv (16)/t(16;16) than in all three regions (S.E. Asia, 3.2%, the West and N. Africa, 3.7% each) [9, 10, 13,14,15,16,17,18,19,20,21,22,23,24,25]. It was more than twice as common in the U.S.A, Korea, Egypt and one report each from the U.K, Australia, Japan and Malaysia (4–8%) [9, 10, 17, 19, 23, 25, 28]. The inv(16) can also be overlooked if the morphology is suboptimal, especially if cytogenetic analysis is not correlated with bone marrow morphology. FISH analysis was performed for confirmation if the bone marrow morphology showed myelomonocytic/monocytic differentiation or eosinophilia or if chromosome morphology was suggestive of this abnormality, and was negative in 14 such patients. It is possible that the frequency of our inversion (16) could be higher if FISH analysis were done in every patient.

The t(8;21) was the most common abnormality in all three other reports from South Asia (8.3–20.8%) [29,30,31] The t(8;21) and the inv(16) were twice as common (14.7% and 4% respectively, p < 0.001) as in our patients in the large study from India (1906 patients) [30].These differences could be due to the reasons mentioned above. The frequencies of t(8;21) and the inv(16)/t(16;16) were similar (21% each) in the other Indian study in which AML M2, M4 and M5 subtypes accounted for 43%,23% and 8% respectively; these unusually high frequencies which differ from all other reports could be because of referral bias, the short duration (two years) and the relatively small number (173) of patients from a single institution [31].

The inv(3/t(3;3) was more common (1.8%) than in S.E. Asia (< 1%, p < 0.001) and N. Africa but was comparable to the West (1.3%) [9, 10, 12, 14,15,16, 18,19,20,21,22,23, 27, 28]. The (9;11), the t(9;22) and the t(6;9) were comparable to the literature, although the (6;9) was not reported from N. Africa [9,10,11, 13, 15, 16, 18,19,20,21,22,23, 27, 28]. However, the frequency of 11q23 abnormalities (KMT2A/MLL translocations) was lower than in N. Africa (p = 0.02) but comparable to the West and S.E.Asia [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28]. We had fewer NUP98 translocations than in the study from Hong Kong which was the only one that reported these abnormalities separately (0.4 vs 1.1%) [22].

Trisomy 8, monosomy 7/del 7q and del 5q/monosomy 5 were more common (p < 0.001) among our patients than in the other regions; their frequencies, which varied widely in the West (4–11%, 1.8–13% and 0.5–13% respectively), were lower in N. Africa and S.E.Asia (3–7%, 0.3–5% and 0.3–3% respectively) except for Singapore (monosomy 7/del 7q and del 5q/monosomy 5 in 7% each) [9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28]. The combined frequency of these three abnormalities among our patients (27.6%) was twice and almost four times as high (p < 0.001) as in Australia (14%) and Japan (7.5%), as reported by Nakase et al. [17]. Similarly, chromosome 5 and chromosome 7 abnormalities (16%) were three and four times more common (p < 0.001) than in Malaysia (5.3%) and Hong Kong (4%) [22, 25]. True monosomy 5 is reported to be uncommon in AML because evaluation with FISH/multicolour FISH or spectral karyotyping showed that the majority of such karyotypes had complex rearrangements involving chromosome 5q, with preservation of 5p [1, 39,40,41,42,43,44]. Therefore, it is possible that the frequency of our monosomy 5 could change significantly if these karyotypes were evaluated further with these techniques. However, the change in the frequency of our MK would be negligible because of the presence of one or more additional monosomies.

We had more patients with monosomy 17/del 17p than in China (p < 0.001) and Egypt (p = 0.03) [21, 28]. Trisomy 21 was more common (p < 0.001) than in the West and S.E.Asia; it was not reported from N. Africa [9,10,11,12, 18, 21, 22]. The higher frequency of high-risk abnormalities in our study as compared to S.E Asia could be due to the interplay of environmental factors and ethnic differences because abnormalities such as the t(15;17) have frequencies more similar to our findings than the West.

To summarise, our data confirms the lower (one to two decades) median age of patients (~ 42 years) with AML in Asia and Africa compared to Western countries. While the frequency of our abnormal karyotypes is comparable to the literature, there are similarities and differences with respect to the common abnormalities. We had more patients with the t(8;21) than in the West, but fewer than in the rest of Asia and Africa. Other major differences included higher frequencies of the t(15;17), trisomy 8 and trisomy 21, and a lower frequency of the inv(16). The high-risk abnormalities such as monosomy 7 and del 5q/monosomy 5 were also more common than in other regions while the inv(3)/t(3;3) and monosomy 17/del 17p had higher frequencies than in S.E. Asia and N. Africa; these abnormalities were more common in younger patients (≤ 60 years) compared to the West. A limitation of this report is the lack of molecular profile of these patients who were evaluated over a long period of time when such assessment was not always feasible. These differences in the median age and frequency of AML-associated cytogenetic abnormalities in different parts of the world could reflect ethnic/genetic differences in the susceptibility to environmental agents associated with leukemogenesis and the response to genetic damage. More detailed epidemiological studies of possible environmental exposure coupled with next-generation sequencing and emerging technologies such as optical genome mapping to look for germline abnormalities that could predispose to these conditions would help to better understand why some chromosomal abnormalities are more common than others in different geographic regions and ethnic groups.

Availability of data and materials

The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.

Abbreviations

abn:

Abnormality/abnormalities

ACA:

Additional cytogenetic abnormalities

AML:

Acute myeloid leukemia

AML-RGA:

AML with recurrent genetic abnormalities

AML-MRC:

AML with myelodysplasia-related cytogenetic changes

CK:

Complex karyotype(s)

del:

Deletion

CBFB:

Core-binding factor subunit beta

ELN:

European LeukemiaNet

ISH:

Fluorescence in situ hybridization

ICC:

International Consensus Classification of Acute Myeloid Leukemia

ISCN:

International System for Human Cytogenomic Nomenclature

i:

Isochromosome

ider:

Isoderivative

inv:

Inversion

M:F ratio:

Male:female ratio

MK:

Monosomal karyotypes

MRC:

Myelodysplasia-related cytogenetic abnormalities

N.Africa:

North Africa

PML:

Promyelocytic leukemia nuclear body scaffold

RARA:

Retinoic acid receptor alpha

RGA:

Recurrent genetic abnormalities

S.E.Asia:

South-East Asia

t:

Translocation

UK:

United Kingdom

USA:

United States of America

WHO:

World Health Organisation

References

  1. Heim S, Mitelman F, editors. Cancer cytogenetics: chromosomal and molecular genetic aberrations of tumor cells. Fourth edition. Chichester, West Sussex; Hoboken, NJ: Wiley Blackwell; 2015. P.632

  2. Harris NL, Jaffe ES, Diebold J, Flandrin G, Muller-Hermelink HK, Vardiman J, et al. The World Health Organization classification of neoplastic diseases of the hematopoietic and lymphoid tissues. Report of the Clinical Advisory Committee meeting, Airlie House, Virginia, November, 1997. Ann Oncol. 1999;10 (12):1419–32.

  3. Vardiman JW, Harris NL, Brunning RD. The World Health Organization (WHO) classification of the myeloid neoplasms. Blood. 2002;100(7):2292–302.

    Article  CAS  PubMed  Google Scholar 

  4. Vardiman JW, Thiele J, Arber DA, Brunning RD, Borowitz MJ, Porwit A, et al. The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes. Blood. 2009;114(5):937–51.

    Article  CAS  PubMed  Google Scholar 

  5. 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(20):2391–405.

    Article  CAS  PubMed  Google Scholar 

  6. Khoury JD, Solary E, Abla O, Akkari Y, Alaggio R, Apperley JF, et al. The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Myeloid and Histiocytic/Dendritic Neoplasms. Leukemia. 2022;36 (7):1703–19.

  7. Arber DA, Orazi A, Hasserjian RP, Borowitz MJ, Calvo KR, Kvasnicka HM, et al. International Consensus Classification of Myeloid Neoplasms and Acute Leukemias: integrating morphologic, clinical, and genomic data. Blood. 2022;140(11):1200–28.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Döhner H, Wei AH, Appelbaum FR, Craddock C, DiNardo CD, Dombret H, et al. Diagnosis and management of AML in adults: 2022 recommendations from an international expert panel on behalf of the ELN. Blood. 2022;140(12):1345–77.

    Article  PubMed  Google Scholar 

  9. Byrd JC, Mrózek K, Dodge RK, Carroll AJ, Edwards CG, Arthur DC, et al. Pretreatment cytogenetic abnormalities are predictive of induction success, cumulative incidence of relapse, and overall survival in adult patients with de novo acute myeloid leukemia: results from Cancer and Leukemia Group B (CALGB 8461). Blood. 2002;100(13):4325–36.

    Article  CAS  PubMed  Google Scholar 

  10. Grimwade D, Hills RK, Moorman AV, Walker H, Chatters S, Goldstone AH, et al. Refinement of cytogenetic classification in acute myeloid leukemia: determination of prognostic significance of rare recurring chromosomal abnormalities among 5876 younger adult patients treated in the United Kingdom Medical Research Council trials. Blood. 2010;116(3):354–65.

    Article  CAS  PubMed  Google Scholar 

  11. 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(10):1801–6.

    Article  CAS  PubMed  Google Scholar 

  12. Bacher U, Kern W, Schnittger S, Hiddemann W, Schoch C, Haferlach T. Further correlations of morphology according to FAB and WHO classification to cytogenetics in de novo acute myeloid leukemia: a study on 2,235 patients. Ann Hematol. 2005;84(12):785–91. https://doi.org/10.1007/s00277-005-1099-0.

    Article  PubMed  Google Scholar 

  13. Sanderson RN, Johnson PRE, Moorman AV, Roman E, Willett E, Taylor PR, et al. Population-Based Demographic Study of Karyotypes in 1709 Patients with Adult Acute Myeloid Leukemia. Leukemia. 2006;20(3):444–50.

    Article  CAS  PubMed  Google Scholar 

  14. Sierra M, Alonso A, Odero MD, Gonzalez MB, Lahortiga I, Pérez JJ, et al. Geographic differences in the incidence of cytogenetic abnormalities of acute myelogenous leukemia (AML) in Spain. Leuk Res. 2006;30(8):943–8.

    Article  PubMed  Google Scholar 

  15. Lazarevic V, Hörstedt AS, Johansson B, Antunovic P, Billström R, Derolf Å, et al. Incidence and prognostic significance of karyotypic subgroups in older patients with acute myeloid leukemia: the Swedish population-based experience. Blood Cancer J. 2014;4 (2): e188. https://doi.org/10.1038/bcj.2014.10

  16. Creutzig U, Zimmermann M, Reinhardt D, Rasche M, von Neuhoff C, Alpermann T, et al. Changes in cytogenetics and molecular genetics in acute myeloid leukemia from childhood to adult age groups. Cancer. 2016;122(24):3821–30.

    Article  CAS  PubMed  Google Scholar 

  17. Nakase K, Bradstock K, Sartor M, Gottlieb D, Byth K, Kita K, et al. Geographic heterogeneity of cellular characteristics of acute myeloid leukemia: a comparative study of Australian and Japanese adult cases. Leukemia. 2000;14(1):163–8.

    Article  CAS  PubMed  Google Scholar 

  18. Gangatharan SA, Leahy MF, Crawford J, Wright M, Martin AM. Trends in acute myeloid leukaemia in Western Australia over time: Improved outcomes with contemporary management. Tasman Med J. 2020;3(1):17–22.

    Google Scholar 

  19. Wakui M, Kuriyama K, Miyazaki Y, Hata T, Taniwaki M, Ohtake S, et al. Diagnosis of acute myeloid leukemia according to the WHO classification in the Japan Adult Leukemia Study Group AML-97 protocol. Int J Hematol. 2008;87(2):144–51.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Enjeti AK, Tien SL, Sivaswaren CR. Cytogenetic abnormalities in de novo acute myeloid leukemia in adults: relation to morphology, age, sex and ethnicity – a single center study from Singapore. Hematol J. 2004;5(5):419–25.

    Article  PubMed  Google Scholar 

  21. Li X, Li X, Xie W, Hu Y, Li J, Du W, et al. Comprehensive profile of cytogenetics in 2308 Chinese children and adults with de novo acute myeloid leukemia. Blood Cells Mol Dis. 2012;49(2):107–13.

    Article  CAS  PubMed  Google Scholar 

  22. So CC, Wan TS, Chow JL, Hui KC, Choi WW, Lam CC, et al. A single-center cytogenetic study of 629 Chinese patients with de novo acute myeloid leukemia–evidence of major ethnic differences and a high prevalence of acute promyelocytic leukemia in Chinese patients. Cancer Genet. 2011;204(8):430–8.

    Article  PubMed  Google Scholar 

  23. Byun JM, Kim YJ, Yoon HJ, Kim SY, Kim HJ, Yoon J, et al. Cytogenetic profiles of 2806 patients with acute myeloid leukemia-a retrospective multicenter nationwide study. Ann Hematol. 2016;95(8):1223–32.

    Article  PubMed  Google Scholar 

  24. Meng CY, Noor PJ, Ismail A, Ahid MFM, Zakaria Z. Cytogenetic Profile of de novo Acute Myeloid Leukemia Patients in Malaysia. Int J Biomed Sci. 2013;9(1):26–32.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Ambayya A, Moorman AV, Sathar J, Eswaran J, Sulong S, Hassan R. Genetic Profiles and Risk Stratification in Adult De Novo Acute Myeloid Leukaemia in Relation to Age, Gender, and Ethnicity: A Study from Malaysia. Int J Mol Sci. 2021;23(1):258.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Gmidène A, Sennana H, Wahchi I, Youssef YB, Jeddi R, Elloumi M, et al. Cytogenetic profile of a large cohort of Tunisian de novo acute myeloid leukemia. Hematology. 2012;17(1):9–14. https://doi.org/10.1179/102453312X13221316477417.

    Article  PubMed  Google Scholar 

  27. Khoubila N, Bendari M, Hda N, Lamchahab M, Qachouh M, Rachid M, et al. Cytogenetic profile of a representative cohort of young adults with de novo acute myéloblastic leukaemia in Morocco. Cancer Genet. 2019;1(238):1–9.

    Article  Google Scholar 

  28. Elnaggar MG, Mosad E, Makboul A, Shafik EA. Cytogenetic profile of adult acute myeloid leukemia in Egypt: a single-center experience. Mol Cytogenet. 2022;15(1):1–8.

    Article  Google Scholar 

  29. Shaikh MS, Ahmed ZA, Shaikh MU, Adil SN, Khurshid M, Moatter T, et al. Distribution of Chromosomal Abnormalities Commonly Observed in Adult Acute Myeloid Leukemia in Pakistan as Predictors of Prognosis. Asian Pac J Cancer Prev. 2018;19(7):1903–6.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Amare PSK, Jain H, Kabre S, Deshpande Y, Pawar P, Banavali S, et al. Cytogenetic Profile in 7209 Indian Patients with de novo Acute Leukemia: A Single Centre Study from India. J Cancer Ther. 2016;7(7):530–44.

    Article  Google Scholar 

  31. Namratha Udupa MS, Babu KG, Suresh Babu MC, Lakshmaiah KC, Lokanatha D, Jacob AL, et al. Clinical profile, cytogenetics and treatment outcomes of adult acute myeloid leukemia. J Cancer Res Ther. 2020;16(1):18–22.

    Article  CAS  PubMed  Google Scholar 

  32. 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 (1):110–7. https://doi.org/10.1111/bjh.13406

  33. Dal Cin P. Metaphase harvest and cytogenetic analysis of malignant hematological specimens. Curr Protoc Hum Genet. 2003;Chapter 10:Unit 10.2.

  34. McGowan-Jordan J, Simons A, Schmid M (2016). An International System for Human Cytogenomic Nomenclature.Basel: S. Karger,2016. 2016th ed.

  35. Moorman AV, Roman E, Willett EV, Dovey GJ, Cartwright RA, Morgan GJ. Karyotype and age in acute myeloid leukemia. Are they linked? Cancer Genet Cytogenet. 2001;126 (2):155–61.

  36. Medeiros BC, Othus M, Fang M, Roulston D, Appelbaum FR. Prognostic impact of monosomal karyotype in young adult and elderly acute myeloid leukemia: the Southwest Oncology Group (SWOG) experience. Blood. 2010;116(13):2224.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Breems DA, Löwenberg B. Acute myeloid leukemia with monosomal karyotype at the far end of the unfavorable prognostic spectrum. Haematologica. 2011;96(4):491–3.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Douer D, Santillana S, Ramezani L, Samanez C, Slovak ML, Lee MS, et al. Acute promyelocytic leukaemia in patients originating in Latin America is associated with an increased frequency of the bcr1 subtype of the PML/RARα fusion gene. Br J Haematol. 2003;122 (4):563–70. https://doi.org/10.1046/j.1365-2141.2003.04480.x

  39. Bram S, Swolin B, Rödjer S, Stockelberg D, Ogärd I, Bäck H. Is monosomy 5 an uncommon aberration? Fluorescence in situ hybridization reveals translocations and deletions in myelodysplastic syndromes or acute myelocytic leukemia. Cancer Genet Cytogenet. 2003;142(2):107–14.

    Article  CAS  PubMed  Google Scholar 

  40. Galván AB, Mallo M, Arenillas L, Salido M, Espinet B, Pedro C, et al. Does monosomy 5 really exist in myelodysplastic syndromes and acute myeloid leukemia? Leuk Res. 2010;34(9):1242–5.

    Article  PubMed  Google Scholar 

  41. Mrózek K, Heinonen K, Theil KS, Bloomfield CD. Spectral karyotyping in patients with acute myeloid leukemia and a complex karyotype shows hidden aberrations, including recurrent overrepresentation of 21q, 11q, and 22q. Genes Chromosomes Cancer. 2002;34(2):137–53.

    Article  PubMed  Google Scholar 

  42. Van Limbergen H, Poppe B, Michaux L, Herens C, Brown J, Noens L, et al. Identification of cytogenetic subclasses and recurring chromosomal aberrations in AML and MDS with complex karyotypes using M-FISH. Genes Chromosomes Cancer. 2002;33(1):60–72.

    Article  PubMed  Google Scholar 

  43. Herry A, Douet-Guilbert N, Morel F, Le Bris MJ, De Braekeleer M. Redefining monosomy 5 by molecular cytogenetics in 23 patients with MDS/AML. Eur J Haematol. 2007;78(6):457–67.

    Article  PubMed  Google Scholar 

  44. Jerez A, Gondek LP, Jankowska AM, Makishima H, Przychodzen B, Tiu RV, et al. Topography, Clinical, and Genomic Correlates of 5q Myeloid Malignancies Revisited. J Clin Oncol. 2012;30 (12):1343–9. doi/https://doi.org/10.1200/JCO.2011.36.1824

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Acknowledgements

We thank Dr. M. Gowri for her valuable suggestions regarding statistical analysis.

Funding

None. No funding was received for conducting this study.

Author information

Authors and Affiliations

Authors

Contributions

VMS: design, manuscript preparation, cytogenetic analysis, data analysis; MS, KML: Statistical analysis, data analysis; SCN, MTM: Morphologic analysis, manuscript review; UPK, AK, AA: clinical data acquisition, manuscript review; AJD, FNA: clinical data acquisition, manuscript editing and review; AS: clinical data acquisition, literature search, manuscript editing and review. All authors have read and approved the manuscript.

Corresponding author

Correspondence to Vivi M. Srivastava.

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Ethics approval and consent to participate

The study was approved by the institutional Review Board: IRB minute no. 13082 [Retro] June 2020.

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See above.

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Supplementary Information

Additional file 1

. Comparison of age in normal and abnormal karyotypes.

Additional file 2

. Other 11q23 (KMT2A / MLL), NUP98 and raretranslocations in AML.

Additional file 3

. Other (non-RGA) translocations.

Additional file 4

. Abnormalities frequently seen in complex karyotypes.

Additional file 5

. Distribution of abnormalities according to cytogenetic risk groups.

Additional file 6

. Raw data and statistical analysis for comparison with reports from the West.

Additional file 7

. Raw data and statistical analysis for comparison of our findings with reports from S.E Asia.

Additional file 8

. Raw data and statistical analysis for comparison with reports from N.Africa.

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Srivastava, V.M., Nair, S.C., Sappani, M. et al. Cytogenetic profile of 1791 adult acute myeloid leukemia in India. Mol Cytogenet 16, 24 (2023). https://doi.org/10.1186/s13039-023-00653-1

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