Background:

Single nucleotide polymorphisms (SNPs) within the genes involving drug detoxification enzymes of anthracyclines could lead to interindividual differences in treatment outcome. Several studies suggested, in different kinds of cancer, that SNPs of genes coding anthracyclines metabolism may influence their effectiveness or toxicity, being well-known their association with cardiotoxicity. The impact of these polymorphisms in adult acute myeloid leukemia (AML) patients treated with the combination of cytarabine and anthracyclines for induction remains undetermined.

Methods:

SNPs of anthracycline metabolism genes previously associated with clinical significance in other malignances (CBR3:rs1056892, rs8133052, NQO1 rs1800566, NQO2 rs1143684, NOS3:rs1799983, rs2070744, MnSOD rs4880) were evaluated in 225 adult patients at initial diagnosis from AML using a Sequenom (iPLEX) mass spectrometry-based multiplex genotyping assay (Sequenom, San Diego, CA). All patients received induction chemotherapy consisting of idarubicin plus cytarabine (PETHEMA-LMA 99, 2007 and 2010 trials).

Efficacy of first induction cycle was evaluated comparing complete remission (CR) vs. partial remission or resistance. Patients dying during induction were considered as no evaluable for efficacy. Based on WHO grading scale, toxicities were grouped as binary variables (grade 0-1 vs. grade 2-4). The grade of toxicity assigned to an organ group was the maximum grade of all the specific toxicities within that group. Hematologic toxicity was measured with the time to neutropenia and thrombocytopenia recovery since first day of chemotherapy. Genotypes were studied with co-dominant model. Association between variables was assessed using linear and logistic regression adjusting for age, gender, ECOG, leukocyte and platelet count at diagnosis (R® version 3.1.2).

Results:

The median age of patients was 51.1 years (16-78 years). There were no statistically significant differences in CR. Nevertheless, several associations were obtained between NQO1, NQO2, NOS3 and MnSOD polymorphisms and toxicities (significant toxicities were summarized in table 1 and 2).

Table 1.

Significant association between SNPs in gene metabolizers and different toxicities

ToxicityGene/SNPGenotypesGrade 0-1 n (%)Grade 2-4 n (%)OR (95%IC)P
Cardiotoxicity NQO2 rs1143684 TT
TC 
119 (86.2)
74 (94.9) 
19 (13.8)
4 (5.1) 
0.26
(0.07-0.77) 
0.025 
Neurotoxicity NOS3 rs1799983 GG
GT 
71 (84.5)
101 (94.4) 
13 (15.5)
6 (5.6) 
0.28
(0.09-0.80) 
0.022 
Skin toxicity NOS3 rs1799983 GG
GT
TT 
45 (53.6)
78 (72.9)
26 (76.5) 
39 (46.4)
29 (27.1)
8 (23.5) 
0.44
(0.24-0.82)
0.36
(0.14-0.88) 
0.010
0.030 
Skin toxicity NQO1 rs1800566 CC
CT 
78 (60.9)
64 (74.4) 
50 (39.1)
29 (25.6) 
0.53
(0.28-0.97) 
0.042 
Skin toxicity NQO2 rs1143684 TT
CC 
  5.49
(1.19-38.9) 
0.044 
Gastrointestinal toxicity NQO2 rs1143684 TT
CC 
91 (65.9)
2 (25.0) 
47 (34.1)
6 (75.0) 
5.5
(1.19-38.99) 
0.043 
Mucositis NQO1 rs1800566 CC
TT 
119 (93.0)
8 (72.7) 
9 (7.0)
3 (27.3) 
6.1
(1.03-33.1) 
0.035 
Mucositis NQO2 rs1143684 TT
CC 
128 (92.8)
5 (62.5) 
10 (7.2)
3 (37.5) 
8.8
(1.53-45.60) 
0.010 
Nephrotoxicity MnSOD rs4880 TT
CC 
47 (81.0)
55 (94.8) 
11 (19.0)
3 (5.2) 
0.23
(0.05-0.86) 
0.042 
Nephrotoxicity NQO1 rs1800566 CC
TT 
114 (89.1)
8 (72.7) 
14 (10.9)
3 (27.3) 
6.66
(1.07-38.35) 
0.033 
Hepatotoxicity grades 3-4 NOS3 rs2070744 CC
CT 
19 (24.8)
100 (67.1) 
20 (51.3)
49 (32.9) 
0.44
(0.20-0.94) 
0.035 
ToxicityGene/SNPGenotypesGrade 0-1 n (%)Grade 2-4 n (%)OR (95%IC)P
Cardiotoxicity NQO2 rs1143684 TT
TC 
119 (86.2)
74 (94.9) 
19 (13.8)
4 (5.1) 
0.26
(0.07-0.77) 
0.025 
Neurotoxicity NOS3 rs1799983 GG
GT 
71 (84.5)
101 (94.4) 
13 (15.5)
6 (5.6) 
0.28
(0.09-0.80) 
0.022 
Skin toxicity NOS3 rs1799983 GG
GT
TT 
45 (53.6)
78 (72.9)
26 (76.5) 
39 (46.4)
29 (27.1)
8 (23.5) 
0.44
(0.24-0.82)
0.36
(0.14-0.88) 
0.010
0.030 
Skin toxicity NQO1 rs1800566 CC
CT 
78 (60.9)
64 (74.4) 
50 (39.1)
29 (25.6) 
0.53
(0.28-0.97) 
0.042 
Skin toxicity NQO2 rs1143684 TT
CC 
  5.49
(1.19-38.9) 
0.044 
Gastrointestinal toxicity NQO2 rs1143684 TT
CC 
91 (65.9)
2 (25.0) 
47 (34.1)
6 (75.0) 
5.5
(1.19-38.99) 
0.043 
Mucositis NQO1 rs1800566 CC
TT 
119 (93.0)
8 (72.7) 
9 (7.0)
3 (27.3) 
6.1
(1.03-33.1) 
0.035 
Mucositis NQO2 rs1143684 TT
CC 
128 (92.8)
5 (62.5) 
10 (7.2)
3 (37.5) 
8.8
(1.53-45.60) 
0.010 
Nephrotoxicity MnSOD rs4880 TT
CC 
47 (81.0)
55 (94.8) 
11 (19.0)
3 (5.2) 
0.23
(0.05-0.86) 
0.042 
Nephrotoxicity NQO1 rs1800566 CC
TT 
114 (89.1)
8 (72.7) 
14 (10.9)
3 (27.3) 
6.66
(1.07-38.35) 
0.033 
Hepatotoxicity grades 3-4 NOS3 rs2070744 CC
CT 
19 (24.8)
100 (67.1) 
20 (51.3)
49 (32.9) 
0.44
(0.20-0.94) 
0.035 

Table 2.

Significant association between SNPs in gene metabolizers and hematologic toxicities

Hematologic toxicityGene/SNPGenotypesMean daysLogarithm of the difference (95%IC)P
Time to neutropenia recovery NOS3 rs2070744 CC
TT 
32.7
26.7 
-0.17
(-0.35 to -0.01) 
0.048 
Time to thrombocytopenia recovery NOS3 rs1799983 GG
GT
TT 
35.6
28.8
30.3 
-0.17
(-0.17 to -0.06)
-0.15
(-0.28 to -0.01) 
0.002
0.034 
Hematologic toxicityGene/SNPGenotypesMean daysLogarithm of the difference (95%IC)P
Time to neutropenia recovery NOS3 rs2070744 CC
TT 
32.7
26.7 
-0.17
(-0.35 to -0.01) 
0.048 
Time to thrombocytopenia recovery NOS3 rs1799983 GG
GT
TT 
35.6
28.8
30.3 
-0.17
(-0.17 to -0.06)
-0.15
(-0.28 to -0.01) 
0.002
0.034 

Conclusions:

This study reveals that, as in other cancers, there is a prognostic impact of anthracycline metabolism gene polymorphisms in adult AML patients. Further studies with larger population are needed to validate these associations, which could be useful biomarkers in clinical practice.

Disclosures

No relevant conflicts of interest to declare.

Author notes

*

Asterisk with author names denotes non-ASH members.

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