To the editor:

Sellick et al1  showed the prognostic role of single nucleotide polymorphisms (SNPs) in chronic lymphocytic leukemia (CLL). The primary end point of the study was progression-free survival (PFS) after first treatment.1  Several factors may limit the general applicability of these results. (1) PFS after first treatment applies to a CLL population biased for unfavorable characteristics compared with a consecutive CLL cohort. (2) The search for SNPs relevant for PFS after first treatment may be enriched with pharmacogenetic SNPs more related to chemotherapy than to CLL kinetics. (3) One of the SNPs identified by Sellick et al1  remained significantly associated with CLL outcome after adjusting for multiple comparisons. (4) Validation in an independent CLL cohort was not performed.1 

Our aim was 2-fold: to explore the prognostic impact of SNPs identified by Sellick et al1  on time to first treatment (TTFT) and overall survival (OS) from CLL diagnosis; and to validate the prognostic role on PFS and OS from first line treatment.

Forty-two SNPs from the study by Sellick et al1  were selected for genotyping according to the following criteria: (1) involvement in immune regulation or DNA damage-response; and (2) functional relevance according to PolyPhen and SIFT algorithms.2,3  Three additional SNPs belonging to the MDM2, CD38, and IRF4 genes and previously associated with CLL prognosis were also analyzed.4-6 

After a median follow-up from diagnosis of 75 months, 163 of 331 patients were treated and 86 of 331 died. By Cox analysis adjusted for age at diagnosis, sex, stage, immunoglobulin gene (IGHV) mutations, CD38 expression, and TP53 deletion/mutation, SNPs significantly associated with TTFT were THBS1 rs2228262 (P = .007), ERBB2IP rs3213837 (P = .020), BARD1 rs2229571 (P = .026), LRP2 rs4667591 (P = .027), and LILRA4 rs2241384 (P = .034). In the same series, SNPs significantly associated with OS were MGMT rs12917 (P < .001), FHL5 rs9373985 (P = .042), and BARD1 rs2229571 (P = .017; Table 1). After correction for multiple testing by false discovery rate (FDR), a significant association with OS (q = .022) was demonstrated for MGMT rs12917 (Table 1), whereas no SNPs associated with TTFT (q ≥ .2 in all instances).7 

Table 1

SNPs showing significant association with CLL outcome

Reference alleleGenotype at riskN*HR95% CIP§q
TTFT        
    BARD1 rs2229571 CG/GG 198 0.69 0.49-0.95 .026 0.486 
    LILRA4 rs2241384 TT 2.69 1.07-6.74 .034 0.490 
    ERBB2IP rs3213837 GA/AA 70 1.53 1.06-2.21 .020 0.486 
    LRP2 rs4667591 GT/TT 106 1.43 1.04-1.96 .027 0.486 
    THBS1 rs2228262 AG/GG 74 0.59 0.40-0.86 .007 0.486 
OS from diagnosis        
    BARD1 rs2229571 CG/GG 198 0.57 0.36-0.90 .017 0.586 
    BARD1 rs2229571 GG 69 0.54 0.30-0.98 .043 0.586 
    FHL5 rs9373985 CG/GG 202 0.62 0.40-0.98 .042 0.586 
    MGMT rs12917 TT 7.28 2.42-21.88 < .001 0.022 
PFS from first treatment        
    APOE rs7412 CT/TT 16 2.15 1.19-3.89 .011 0.648 
    BARD1 rs2229571 CG/GG 91 0.64 0.43-0.95 .029 0.648 
OS from first treatment        
    APOE rs7412 CT/TT 16 3.20 1.47-6.94 .003 0.183 
    BARD1 rs2229571 CG/GG 91 0.47 0.26-0.84 .012 0.366 
    BARD1 rs2229571 GG 31 0.48 0.24-0.97 .042 0.453 
    KLRC4 rs1841958 CA/AA 96 0.57 0.33-0.99 .047 0.453 
    THBS1 rs2228262 AG/GG 35 1.85 1.00-3.40 .047 0.453 
    XRCC2 rs3218536 GA/AA 29 0.43 0.19-0.95 .037 0.453 
Reference alleleGenotype at riskN*HR95% CIP§q
TTFT        
    BARD1 rs2229571 CG/GG 198 0.69 0.49-0.95 .026 0.486 
    LILRA4 rs2241384 TT 2.69 1.07-6.74 .034 0.490 
    ERBB2IP rs3213837 GA/AA 70 1.53 1.06-2.21 .020 0.486 
    LRP2 rs4667591 GT/TT 106 1.43 1.04-1.96 .027 0.486 
    THBS1 rs2228262 AG/GG 74 0.59 0.40-0.86 .007 0.486 
OS from diagnosis        
    BARD1 rs2229571 CG/GG 198 0.57 0.36-0.90 .017 0.586 
    BARD1 rs2229571 GG 69 0.54 0.30-0.98 .043 0.586 
    FHL5 rs9373985 CG/GG 202 0.62 0.40-0.98 .042 0.586 
    MGMT rs12917 TT 7.28 2.42-21.88 < .001 0.022 
PFS from first treatment        
    APOE rs7412 CT/TT 16 2.15 1.19-3.89 .011 0.648 
    BARD1 rs2229571 CG/GG 91 0.64 0.43-0.95 .029 0.648 
OS from first treatment        
    APOE rs7412 CT/TT 16 3.20 1.47-6.94 .003 0.183 
    BARD1 rs2229571 CG/GG 91 0.47 0.26-0.84 .012 0.366 
    BARD1 rs2229571 GG 31 0.48 0.24-0.97 .042 0.453 
    KLRC4 rs1841958 CA/AA 96 0.57 0.33-0.99 .047 0.453 
    THBS1 rs2228262 AG/GG 35 1.85 1.00-3.40 .047 0.453 
    XRCC2 rs3218536 GA/AA 29 0.43 0.19-0.95 .037 0.453 

CI indicates confidence interval, and HR, hazard ratio.

*

Number of patients with at-risk genotype.

HR adjusted for (?) age, sex, Binet stage, immunoglobulin gene mutations, CD38 expression, TP53 deletion/mutation at diagnosis for TTFT and OS from diagnosis.

age, sex, Binet stage, immunoglobulin gene mutations, CD38 expression, TP53 deletion/mutation, and treatment regimen for PFS and OS from first treatment.

§

P value (calculated by Cox regression) considered significant if < .05.

q value calculated by false discovery rate to adjust for multiple testing.

Significant (q < 0.2).

After a median follow-up since first treatment of 60 months, 118 of 163 patients progressed, and 63 of 163 died. By Cox analysis adjusted for age at first treatment, sex, stage, IGHV mutations, CD38 expression, TP53 deletion/mutation, and type of treatment, SNPs significantly associated with PFS after first treatment were APOE rs7412 SNP (P = .011) and BARD1 rs2229571 (P = .041). In the same series, SNPs significantly associated with OS after first treatment were APOE rs7412 (P = .003), XRCC2 rs3218536 (P = .037), BARD1 rs2229571 (P = .043), KLRC4 rs1841958 (P = .047), and THBS1 rs2228262 (P = .047; Table 1). After correction for multiple testing, a significant association with OS after first treatment (q = .183) was documented for APOE rs7412 (Table 1), whereas no SNPs associated with PFS after first treatment (q ≥ .2 in all instances).

This study confirms in an independent CLL series the predictive value of selected SNPs identified by Sellick et al1  and corroborates their relevance by controlling statistical associations for multiple testing. Our results expand the observations by Sellick et al1  by documenting that selected SNPs also predict TTFT and survival from diagnosis in addition to PFS from treatment.

This study has been approved by the local institutional review board and was supported by Ricerca Sanitaria Finalizzata, Regione Piemonte, Torino, Italy; Progetto Integrato Oncologia, Ministero della Salute, Rome, Italy; Novara-AIL Onlus, Novara, Italy; and AIRC, Milan, Italy.

Contribution: D.R. designed the study, analyzed data and wrote the manuscript; S.R. and A.B. performed and interpreted molecular analysis; E.S. collected clinical data; and G.G. and F.F. contributed to data analysis and drafting of the manuscript.

Conflict-of-interest disclosure: The authors declare no competing financial interests.

Correspondence: Davide Rossi, MD, Division of Hematology, Department of Clinical and Experimental Medicine, Amedeo Avogadro University of Eastern Piedmont, Novara, Italy; e-mail: rossidav@med.unipmn.it.

1
Sellick
 
GS
Wade
 
R
Richards
 
S
Oscier
 
DG
Catovsky
 
D
Houlston
 
RS
Scan of 977 nonsynonymous SNPs in CLL4 trial patients for the identification of genetic variants influencing prognosis.
Blood
2008
, vol. 
111
 
3
(pg. 
1625
-
1633
)
2
Ramensky
 
V
Bork
 
P
Sunyaev
 
S
Human non-synonymous SNPs: server and survey.
Nucleic Acids Res
2002
, vol. 
30
 
17
(pg. 
3894
-
3900
)
3
Ng
 
PC
Henikoff
 
S
SIFT: Predicting amino acid changes that affect protein function.
Nucleic Acids Res
2003
, vol. 
31
 
13
(pg. 
3812
-
3814
)
4
Aydin
 
S
Rossi
 
D
Bergui
 
L
et al. 
CD38 gene polymorphism and chronic lymphocytic leukemia: a role in transformation to Richter syndrome?
Blood
2008
, vol. 
111
 
12
(pg. 
5646
-
5653
)
5
Di Bernardo
 
MC
Crowther-Swanepoel
 
D
Broderick
 
P
et al. 
A genome-wide association study identifies six susceptibility loci for chronic lymphocytic leukemia.
Nat Genet
2008
, vol. 
40
 
10
(pg. 
1204
-
1210
)
6
Gryshchenko
 
I
Hofbauer
 
S
Stoecher
 
M
et al. 
MDM2 SNP309 is associated with poor outcome in B-cell chronic lymphocytic leukemia.
J Clin Oncol
2008
, vol. 
26
 
14
(pg. 
2252
-
2257
)
7
Benjamini
 
Y
Hochberg
 
Y
Controlling false discovery rate: a practicable and powerful approach to multiple testing.
J R Stat Soc Br
1995
, vol. 
57
 (pg. 
289
-
300
)
Sign in via your Institution