-Author name in bold denotes the presenting author
-Asterisk * with author name denotes a Non-ASH member
Clinically Relevant Abstract denotes an abstract that is clinically relevant.

PhD Trainee denotes that this is a recommended PHD Trainee Session.

Ticketed Session denotes that this is a ticketed session.

1675 Prognostic Impact of TS, MTHFR and XRCC1 Genetic Variants in 113 Patients with Myelodysplastic Syndromes

Myelodysplastic Syndromes – Clinical Studies
Program: Oral and Poster Abstracts
Session: 637. Myelodysplastic Syndromes – Clinical Studies: Poster I
Saturday, December 5, 2015, 5:30 PM-7:30 PM
Hall A, Level 2 (Orange County Convention Center)

Federica Loscocco, PhD1*, Giuseppe Visani, M.D.1*, Elisa Giacomini2*, Annamaria Ruzzo2*, Sara Galimberti, MD3*, Maria Teresa Voso, MD, PhD4*, Carlo Finelli, MD5*, Elena Ciabatti6*, Emiliano Fabiani4*, Francesco Graziano7*, Sara Barulli1*, Antonio Volpe, MD8*, Domenico Magro9*, Pier Paolo Piccaluga, MD, PhD10, Fabio Fuligni11*, Marco Vignetti12*, Paola Fazi12*, Alfonso Piciocchi12*, Cristina Clissa, M.D.1*, Elisa Gabucci1*, Marco Rocchi13*, Mauro Magnani2* and Alessandro Isidori, M.D. PhD1

1Hematology and Stem Cell Transplant Center, AORMN Hospital, Pesaro, Italy
2Department of Biomolecular Sciences, Section of Biochemistry and Molecular Biology, University of Urbino "Carlo Bo", Urbino, Italy
3UO University Hematology, AOU Pisana, Pisa, Italy
4Hematology, Catholic University, Rome, Italy
5Hematology, S.Orsola-Malpighi University Hospital, Bologna, Italy
6University of Pisa, Department of Clinical and Experimental Medicine, Section of Hematology, Italy, Pisa, Italy
7Oncology, Marche Nord Hospital, Pesaro, Italy
8Hematology, S.Giuseppe Moscati Hospital, Avellino, Italy
9Hematology, Pugliese-Ciacco Hospi, Catanzaro, Italy
10Department of Experimental, Diagnostic, and Specialty Medicine, Bologna University, Bologna, Italy
11The Hospital for Sick Children, Paediatric Laboratory Medicine (PLM), Toronto, ON, Canada
12GIMEMA Data Center, Rome, Italy
13Institute of Biomathematics, Urbino University, Urbino, Italy

Background: Several studies have suggested that genetic variability related with single nucleotide polymorphisms (SNPs) of the BER system, DNA synthesis and folate-metabolizing pathway genes could modulate DNA repair capacity. Moreover, these genes are supposed to be related to cancer risk. However, the prognostic impact of the association of individual and/or combined genetic variants in patients with myelodysplastic syndromes (MDS) remains undetermined.

Methods: We genotyped 113 MDS patients, 54 with IPSS low/int-1 receiving only best supportive care (BSC group) and 59 with IPSS int-2/high treated with azacitidine (AZA-group), for the following polymorphisms: XRCC1 194 and 399, APE1 148, XRCC3 241, TS5'-UTR (2R/3R and G/C) and 3'-UTR (6bp+/6bp-), MTHFR 677 and 1298. Genomic DNA was analyzed by High Resolution Melting assay and restriction digests of PCR products. Overall survival (OS) was calculated using the Kaplan-Meier estimate probabilities, and differences between survival curves were analyzed by the log-rank test. Multivariate analyses were performed using the Cox method.

Results: For all the target genes, the distribution of genotypes was consistent with the Hardy-Weinberg equilibrium. Among the baseline characteristics analyzed (age, sex, diagnosis according to WHO, hemoglobin) there was no statistically significant difference in the genotype distribution of studied polymorphisms. In the BSC group, the variants XRCC1 399 GG [Hazard ratio (HR)= 7.07; p=0.02], -6/-6 of TS3’-UTR (HR=4.65; p=0.05), 2R/3G, 3C/3G, 3G/3G of TS5’-UTR (HR=11.44; p=0.02) and TT of MTHFR 677 (HR=67.12; p<0.001), were associated with a statistically significant adverse clinical outcome compared to variant alleles (Table 1). This is consistent with the enzymatic activity reduction attributed to these genetic variants. Multivariable regression model analysis was also performed in the AZA group for the same genetic variants. We found similar results for the association between XRCC1 399 GG(HR=5.71 p=0.002), TS3’-UTR +6/+6(HR=0.097 p=0.004), MTHFR 677 TT (HR=8.58 p<0.001) and survival, but not for SNPs in TS5’-UTR (Table 2). Finally, we performed an exploratory analysis to investigate the combined effect of the unfavorable genotypes on survival.  In the BSC group, the 3-year OS was 33% for those patients with ≥2 variant alleles, as compared to 62.5%, and 100%, respectively, for those with 2 or 0/1 variant alleles. The predictive role of the adverse genotypes combination on survival was confirmed also in the AZA group, suggesting that patients with a higher number of genetic variants had a shorter survival. Interestingly, when we compared survival of patients with adverse genotypes between BSC and AZA groups, we did not find any statistically significant difference between the 2 groups (Kaplan-Meyer and Log-rank test). Therefore, we speculated that azacitidine could give a survival advantage to patients with unfavorable genetic variants, independently from IPSS at diagnosis.

Conclusion: Our study reveals, for the first time, an associations between genetic variants in TS, MTHFR and XRCC1 genes, BSC, azacitidine and survival in MDS patients. If confirmed, they could represent new prognostic markers able to provide guidance for clinical management of MDS patients. In particular, the presence of adverse genotypes could represent a biomarker to treat patients with low-risk IPSS with azacitidine, if confirmed on larger series. Further studies with larger population are needed to validate these associations, especially in SNPs with low variant allele frequency.

Table 1.

Gene

Genotype

Hazard risk

95,0% CI for

Hazard Risk Lower

95,0% CI for

Hazard Risk Upper

p value

XRCC1 399

[G/G]

versus

[A/G-A/A]

7,072

1,295

38,619

0,024

TS5’-UTR

[3G/3G, 3G/3C, 2R/3G]

versus

[2R/2R, 2R/3C, 3C/3C]

11,447

1,330

98,544

0,026

TS3’-UTR

[Del/Del]

versus

[Del/Ins, Ins/Ins]

4,653

0,946

22,874

0,058

MTHFR 677

[T/T]

versus

[C/T-C/C]

67,125

6,409

703,081

<0,001

Table2.

Gene

Genotype

Hazard risk

95,0% CI for

Hazard Risk Lower

95,0% CI for

Hazard Risk Upper

p value

XRCC1   399           

[G/G]

versus

[A/G-A/A]

5,713

1,904

17,142

0,002

TS3’-UTR  

[Ins/Ins]

versus

[Ins6/del6,   del6/del6]

0,097

0,019

0,479

0,004

MTHFR   677

[T/T]

versus

[C/T-C/C]

8,587

2,749

26,828

<0,001

Disclosures: Finelli: Celgene: Other: Speaker , Research Funding ; Novartis: Other: Speaker ; Janssen: Other: Speaker .

*signifies non-member of ASH