Literature DB >> 26630574

A Low Frequency of Losses in 11q Chromosome Is Associated with Better Outcome and Lower Rate of Genomic Mutations in Patients with Chronic Lymphocytic Leukemia.

José Ángel Hernández1, María Hernández-Sánchez2, Ana Eugenia Rodríguez-Vicente2, Vera Grossmann3, Rosa Collado4, Cecilia Heras1, Anna Puiggros5, Ana África Martín6, Noemí Puig6, Rocío Benito2, Cristina Robledo2, Julio Delgado7, Teresa González8, José Antonio Queizán9, Josefina Galende10, Ignacio de la Fuente11, Guillermo Martín-Núñez12, José María Alonso13, Pau Abrisqueta14, Elisa Luño15, Isabel Marugán16, Isabel González-Gascón1, Francesc Bosch14, Alexander Kohlmann3,17, Marcos González2,6, Blanca Espinet5, Jesús María Hernández-Rivas2,6,18.   

Abstract

To analyze the impact of the 11q deleted (11q-) cells in CLL patients on the time to first therapy (TFT) and overall survival (OS), 2,493 patients with CLL were studied. 242 patients (9.7%) had 11q-. Fluorescence in situ hybridization (FISH) studies showed a threshold of 40% of deleted cells to be optimal for showing that clinical differences in terms of TFT and OS within 11q- CLLs. In patients with ≥40% of losses in 11q (11q-H) (74%), the median TFT was 19 months compared with 44 months in CLL patients with <40% del(11q) (11q-L) (P<0.0001). In the multivariate analysis, only the presence of 11q-L, mutated IGHV status, early Binet stage and absence of extended lymphadenopathy were associated with longer TFT. Patients with 11q-H had an OS of 90 months, while in the 11q-L group the OS was not reached (P = 0.008). The absence of splenomegaly (P = 0.02), low LDH (P = 0.018) or β2M (P = 0.006), and the presence of 11q-L (P = 0.003) were associated with a longer OS. In addition, to detect the presence of mutations in the ATM, TP53, NOTCH1, SF3B1, MYD88, FBXW7, XPO1 and BIRC3 genes, a select cohort of CLL patients with losses in 11q was sequenced by next-generation sequencing of amplicons. Eighty % of CLLs with 11q- showed mutations and fewer patients with low frequencies of 11q- had mutations among genes examined (50% vs 94.1%, P = 0.023). In summary, CLL patients with <40% of 11q- had a long TFT and OS that could be associated with the presence of fewer mutated genes.

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Year:  2015        PMID: 26630574      PMCID: PMC4667902          DOI: 10.1371/journal.pone.0143073

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

In chronic lymphocytic leukemia (CLL) the presence of cytogenetic aberrations assessed by fluorescence in situ hybridization (FISH) influences the prognosis, in terms of time to first therapy (TFT), response to treatment, and overall survival (OS) [1]. Deletions on 11q are observed in 9–18% of CLL patients [1,2]. These patients are younger, have abdominal bulky lymph node involvement [3,4], and often show ZAP-70 expression, unmutated status of IGHV and shorter survival, although with a highly variable clinical outcome. The use of chemoimmunotherapy, including rituximab and cyclophosphamide to fludarabine schedules, can improve the response in patients with 11q deletion [5]. Deletions of 11q almost invariably include the ataxia telangiectasia mutated (ATM) gene [6]. This important tumor suppressor gene plays a crucial role in DNA repair and recombination, and regulates cell cycle progression [7]. Although mutations of this gene have been linked to poor prognosis and are associated with 11q deletions in CLL patients, due to its extreme size (62 coding exons) with lack of well characterized (hot-spot) mutations, ATM sequencing studies in CLL have been challenging, leaving several issues unresolved [8-10]. The application of next-generation sequencing (NGS) allows the detection of new candidate genes with frequent mutations in CLL patients as detected by whole-exome and whole-genome sequencing [11-14]. Besides TP53 mutations [15,16], NOTCH1 and SF3B1, found in around 10% of newly diagnosed CLL patients, are the most frequently mutated genes [17,18]. Patients with mutations in some of these genes have been associated with shorter TFT and OS [19,20]. Other recurrent mutations in MYD88, FBXW7, XPO1 and BIRC3 genes have been reported at frequencies below 10% [19,21]. Moreover, BIRC3, a negative regulator of NFKB signaling pathway, is located near to ATM gene, at 11q22 [9]. In the last few years, it has been reported that patients with CLL and 13q deletion may differ in their outcomes depending on the percentage of cells displaying this aberration [2,22-24]. To assess the potential prognostic value of the number of cells with deletion on 11q and to gain insight into the molecular basis of this abnormality in CLL, we have performed a multicenter study of a large series of patients diagnosed with 11q- CLL to determine whether the frequency of losses in 11q has an influence on OS and TFT. Furthermore, NGS studies were carried out, in a subset of patients, to analyze the mutational status of ATM, TP53, NOTCH1, SF3B1, MYD88, FBXW7, XPO1 and BIRC3 in this group of patients.

Methods

Patients

A total of 2,493 patients registered in the DataBase of CLL of the Spanish Group of Cytogenetics (GCECGH) and the Spanish Group of CLL (GELLC) were included. The diagnosis of CLL was made according to the International Workshop on CLL (IWCLL) criteria [25]. In all cases, an immunophenotypic analysis was performed by flow cytometry. FISH studies, including specific probes for at least the 11q22.3–23.1, 12p11.1-q11, 13q14, and 17p13 regions were carried out. A total of 242 patients (9.7%) had an 11q deletion. The final analysis was limited to 197 cases, including 11q deletion performed at diagnosis of CLL, after excluding cases with monoclonal B-cell lymphocytosis, clonal evolution or inappropriate follow-up (Table A in S1 File). Basic clinical and biological data were recorded by reviewing the GCECGH and GELLC DataBase. The study was approved by the local ethical committees “Comité Ético de Investigación Clínica, Hospital Universitario de Salamanca”. Written informed consent was obtained from each patient before they entered the study.

Fluorescence in situ hybridization (FISH)

Interphase FISH was performed in peripheral blood samples using commercially available probes for the 13q14, 12p11.1-q11 (alpha satellite), 11q22/ATM and 17p13/P53 regions (Vysis/Abbott Co, Abbott Park, IL, USA). Dual-color FISH using differently labeled control probes and test probes were performed. The methods used for FISH analysis have been described elsewhere [26]. Signal screening was carried out in at least 200 cells with well-delineated fluorescent spots. In cases with 11q deletion a score of ≥10% was considered positive, according to the cut-off of our laboratories.

Next-generation sequencing analysis

A total of 25 11q- CLL patients were included in sequencing studies. Samples were obtained at diagnosis in all cases. NGS was performed using 454 Titanium Amplicon chemistry (Roche Applied Science, Penzberg, Germany) [27] to investigate the ATM, TP53, NOTCH1, SF3B1, MYD88, FBXW7, XPO1 and BIRC3 mutations in 11q- CLL patients. Information about primer sequences is shown in Table E in S1 File and the PCR conditions are described in Table F in S1 File. The oligonucleotide design was performed as part of the IRON-II network. All data were generated using the GS FLX and Junior Sequencer Instrument software version 2.7 (Roche Applied Science). To detect variants, filters were set to display sequence variants occurring in more than 2% of bidirectional reads per amplicon in at least one patient. Table G in S1 File shows the median number of reads generated for each gene, allowing variants to be identified down to a detection limit of 2% [28]. Detailed methods are described in the S1 File. The sequencing data are uploaded to the Sequence Read Archive (SRA) (http://trace.ncbi.nlm.nih.gov/Traces/sra/) under accession number PRJNA297249. All the information is accessible with the following link http://www.ncbi.nlm.nih.gov/bioproject/297249.

Statistical analysis

Statistical analysis were performed using SPSS 20.0 for Windows (SPSS, Chicago, IL, USA). TFT and OS were analyzed on the date of the initial FISH study, coinciding in all of cases with CLL diagnosis. The number of losses in 11q-deleted nuclei was divided into deciles to better define the most significant cut-off point for TFT and OS. The chi-square test was used to assess associations between categorized variables, while continuous variables were analyzed with the Mann-Whitney U test. Statistically significant variables related to TFT and OS were estimated by the Kaplan-Meier method, using the log-rank test to compare the curves of each group. Univariate and multivariate analyses of the TFT and OS employed the Cox regression method. Results were considered statistically significant for values of P≤0.05.

Results

Clinical and biological characteristics of CLL patients carrying 11q deletion

One hundred ninety-seven patients with 11q deletion were selected for the analysis. There was a predominance of males (76.6%), and the median age was 65 years (range: 28–97 years). Most patients (61%) were in Binet stage A and only 14.9% had B symptoms. In 46.4% of patients the lymphocyte blood count was ≥20 x 109/L, while 31.8% and 28.9% patients, respectively, had high serum β2-microglobulin and high serum LDH levels. A total of 68.5% of patients had lymph node involvement, and splenomegaly was detected in 23.4% of cases. Regarding biological characteristics, IGHV unmutated cases were present in 66.1% of cases, while CD38 ≥30% and ZAP-70 ≥20% were detected in 55% and 55.7% of patients, respectively (Table A in S1 File). Fifty-one patients (25.9%) had <40% of 11q-deleted cells, while 146 cases (74.1%) had ≥40% of such cells. Different cut-off points were analysed, and 40% 11q deleted nuclei was selected to better separate patients with different disease outcome. In 82 out of 197 patients (41.6%) 11q- was the sole cytogenetic aberration, while 115 patients (58.4%) had 11q deletion plus other cytogenetic abnormalities (108 cases had a 13q deletion, 14 had trisomy 12, and 6 patients showed a 17p deletion). No significant differences in clinical or biological features were found between patients with low (<40%) and high (≥40%) frequencies of 11q- cells, except for the number of lymphocytes, Binet stage, IGHV mutational status, need for therapy, and death during follow-up (Table 1).
Table 1

Characteristics of 197 patients with 11q deletion with respect to the number of losses detected by FISH: <40% (n = 51) or ≥40% (n = 146).

CharacteristicCategorydel(11q) <40%,del(11q) ≥40%, P
  N = 51 (26%)N = 146 (74%)  
Age, years 62 (28–84)65 (33–91) 0.13
White blood cells, range /μL 17,900 (7,800–98,100)28,000 (6,600–365,000) 0.008
Lymphocytes, range /μL 12,600 (5,100–84,8500)21,100 (5,200–364,000) 0.007
Lymphocytes > 20 x 109/L     
 Yes1475 0.005
 No3568 
Hemoglobin, range g/dL 14 (6–17)14 (5–17) 0.91
Platelet count, range /μL 195,000 (63,000–352,000)182,000 (2,000–412,000) 0.44
IGHV (n = 56)*       
 Mutated910 0.024
 Unmutated631  
ZAP-70 (n = 79)*      
 +1232 0.44
 -1124 
CD38 (n = 130)*      
 +1640 0.139
 -1956 
del(11q) as sole cytogenetic aberration     
 Yes2062 0.74
 No3184 
del(11q) + del(13q)     
 Yes2977 0.63
 No2269 
Sex     
 Male40111 0.84
 Female1135 
LDH (n = 187)*      
 Normal3499 0.49
 High1341 
β microglobulin (n = 170) *     
 Normal3380 0.19
 High1143 
Binet stage (n = 195)*      
 A3683 0.17
 B1044  
 C414 
Lymphadenopathy (n = 193)*      
 No2041 0.12
 ≤ 2 nodal areas1643 
 > 2 nodal areas1360 
Hepatomegaly (n = 193)*      
 Yes315 0.57
 No46129 
Splenomegaly (n = 193)*      
 Yes1036 0.43
 No39108 
B symptoms (n = 195)*      
 Yes623 0.34
 No44122 
Second Cancer (n = 172)*      
 Yes422 0.23
 No42104 
Died during follow-up     
 Yes1050 0.04
 No4196 
Therapy during follow-up  
 Yes27104 0.025
 No2442 

*Number of cases.

*Number of cases.

CLL patients with a low number of 11q- cells have a prolonged time to first therapy (TFT)

All 197 patients were evaluable for analysis of TFT, response to therapy and OS. By the time of analysis, 151/197 (76.6%) had received treatment, with a median TFT of 25 months (95% CI, 31–44 months) (Fig A in S1 File.). In terms of TFT, no differences in the group of 11q deletion as unique FISH cytogenetic aberration compared with the group of 11q deletion plus other FISH alterations were observed. A significantly longer TFT was detected in the cohort of patients with <40% of 11q deleted cells (median, 44 months; 95% CI, 33–55 months) vs those patients ≥40% losses in 11q (median, 19 months; 95% CI, 12–24 months) (P<0.0001) (. 1A). Of note, 52% of patients in the former group required treatment while 70.5% of patients with ≥40% of 11q-deleted nuclei were treated. Variables associated with a longer TFT were early clinical stage (P = 0.024), absence of extended lymphadenopathy (<2 node areas involved) (P<0.0001), absence of splenomegaly (P = 0.045), low serum LDH (P = 0.045), low serum β2M (P = 0.019), low CD38 expression (P = 0.023), low ZAP70 expression (P = 0.025), mutated IGHV status (P<0.0001) and del(11q) in <40% of cells (P<0.0001) (Table B in S1 File). In the multivariate analysis, only the presence of del(11q) in <40% of cells (Hazard Ratio, HR, 4.475; 95% CI, 1.813–7.171; P = 0.001), mutated IGHV status (HR, 3.659; P = 0.005), early Binet stage (HR 2.492; P = 0.023) and absence of extended lymphadenopathy (HR 1.854; P = 0.016) identified independent risk factors associated with longer TFT (Table 2).
Table 2

Multivariate Cox regression analysis of time to first therapy in 11q- CLL patients with respect to the number of losses detected by FISH: <40% (n = 51) or ≥40% (n = 146).*

VariableHazard Ratio95% CI P (log-rank test)
del(11q) <40%4.4751.813–7.171 0.001
Mutated IGHV 3.6591.478–9.057 0.005
Early Binet stage2.4921.137–5.463 0.023
Non-extended lymphadenopathy (≤ 2 nodal areas)1.8541.121–3.065 0.016

*The following covariates were included in the final model: age, sex, Binet stage, splenomegaly, extended lymphadenopathies, LDH, β2 microglobulin, CD38, ZAP70, IGHV mutation status and percentage 11q deleted nuclei.

*The following covariates were included in the final model: age, sex, Binet stage, splenomegaly, extended lymphadenopathies, LDH, β2 microglobulin, CD38, ZAP70, IGHV mutation status and percentage 11q deleted nuclei. In addition, in patients with del(11q) as the sole cytogenetic aberration, a longer TFT was observed in patients with 11q-L (median 45 months vs 15 months, P < 0.0001).

CLL patients with a low number of 11q- cells have longer overall survival (OS)

By the time of analysis, 60/197 patients (30.5%) had died. The median OS of the global series was 106 months (95% CI, 97–128 months) (Fig A in S1 File). Significantly longer survival was observed in patients with a low frequency of losses in 11q-. Thus, in patients with loss of 11q in ≥40% of cells, the OS was 90 months (95% CI, 57–123 months), while in the group with <40% of losses in 11q, the median OS had not been reached (95% CI, 114–157 months) (P = 0.006) (Fig 1B). In the univariate analysis, early clinical Binet stage (P = 0.001), asymptomatic disease (P = 0.034), absence of hepatomegaly (P = 0.025) or splenomegaly (P<0.0001), lymphocyte count <20 x 109/L (P = 0.032), low serum of either LDH level (P<0.0001) or β2M (P<0.0001), the presence of an association of 11q deletion and 13q deletion (P = 0.045), and a low number (<40%) of cells with 11q- (P = 0.006) were associated with longer OS (Table C in S1 File). In the multivariate analysis, the variables independently related to longer OS were the absence of splenomegaly (HR, 1.786; P = 0.023), low serum LDH (HR, 2.076; P = 0.018), low serum β2M (HR, 2.448; P = 0.006) and the presence of del(11q) in <40% of cells (HR, 3.145; 95% CI, 1.474–6.691; P = 0.003) (Table 3).
Fig 1

(A) Time to first therapy (TFT) and (B) overall survival (OS) of 197 patients with 11q deletion CLL and <40% or ≥40% FISH losses.

Table 3

Multivariate Cox regression analysis of overall survival in 11q- CLL patients with respect to the number of losses detected by FISH: <40% (n = 51) or ≥40% (n = 146).*

VariableHazard Ratio95% CI P (log-rank test)
Del 11q <40%3.1451.474–6.691 0.003
Low serum β2 microglobulin2.4481.260–4.753 0.006
Low serum LDH2.0761.061–4.064 0.018
Absence of splenomegaly1.7861.044–4.481 0.023

*The following covariates were included in the final model: age, sex, Binet stage, splenomegaly, extended lymphadenopathies, LDH, β2 microglobulin, CD38, ZAP70, IGHV mutation status and percentage 11q deleted nuclei.

*The following covariates were included in the final model: age, sex, Binet stage, splenomegaly, extended lymphadenopathies, LDH, β2 microglobulin, CD38, ZAP70, IGHV mutation status and percentage 11q deleted nuclei. Regarding the patients with del(11q) as the unique cytogenetic aberration, a longer OS was observed in patients with 11q-L (median not reached vs 70 months, P = 0.007) The analyses of other cut-offs for the number of 11q- cells (<40% vs 40–59% vs ≥60%) showed similar results for TFT and OS (Fig B in S1 File).

Biallelic inactivation of the ATM gene is observed in one-third of 11q- CLL patients

ATM mutations were found in eight (32%) of 25 patients with 11q-. In total, 14 different mutations were detected by ATM molecular mutation screening: 11 point mutations (7 missense and 4 nonsense; 78.6%) and three frameshift mutations (2 deletions and 1 insertion; 21.4%). These mutations are shown in Fig 2 and listed in Table 4. All patients with mutated ATM had at least one truncating or damaging mutation. Interestingly, four of the eight patients with ATM mutations carried more than one type of mutation. Thus, two patients with ATM mutations carried two different mutations while two other patients with ATM mutations carried three mutations. It is of note that the patients with several ATM mutations had different mutational loads, suggesting the presence of independent clones or clonal evolution with the acquisition of a second mutation. However, it could not be confirmed whether the mutations from one patient belonged to different clones, since they were located on distinct sequencing reads in different amplicons.
Fig 2

Localization and frequencies of mutations in ATM, SF3B1, NOTCH1, TP53, XPO1 and BIRC3 genes.

Mutations are indicated at the amino-acid level; each detected alteration is represented by a dot. Mutation type is represented by a dark (missense), white (nonsense) or grey (frameshift) dot. The sequenced exons for each gene are represented with a grey line below each schematic protein organization.

Table 4

ATM mutations in 25 CLL patients with del(11q).

Patient IDFISH ATM mutations
% 11q-11q- GroupOther abnormalitiesMutational load (%)Sequence changeExonProtein changeDomain proteinType of mutationConsequence (SIFT)Reported previously
142711q-L30% 13q-13c.85A>T3p.Lys29X-nonsenseT-
142711q-L30% 13q-24c.6452G>C44p.Arg2151ThrFATmissenseNT (Tolerated)-
23311q-L-56.5c.7325A>C50p.Gln2442ProFATmissenseNT (Damaging) 1, 2, 3, 4
33811q-L89% 13q-5.5c.3024insT20p.Gln1009fs-frameshiftT-
33811q-L89% 13q-14.5c.7072C>T48p.Gln2358XFATnonsenseT-
187011q-H37.5% 13q-7c.1304T>A10p.Leu435X-nonsenseT-
187011q-H37.5% 13q-2c.4564G>C30p.Gly1522Arg-missenseNT (Damaging)-
187011q-H37.5% 13q-26c.7328G>A50p.Arg2443GlnFATmissenseNT (Damaging) 5, 6
67311q-H-43c.3185delA22p.Asn1062fs-frameshiftT-
67311q-H-7c.8196C>A56p.Phe2732LeuPI3KmissenseNT (Damaging)-
67311q-H-3.5c.8738A>G60p.Asp2913GlyPI3KmissenseNT (Damaging)-
2382.511q-H-14c.1067delT9p.Phe357LeufsX33-frameshiftT-
168311q-H56% 13q-92.5c.8175T>A56p.Asp2725GluPI3KmissenseNT (Damaging)-
1588.511q-H85% 13q-79.5c.4609C>T30p.Gln1537X-nonsenseT-

11q-L: 11q- with <40% 11q-

11q-H: ≥40% 11q-

T: Truncating mutation

NT: Non-truncating mutation

1 Fujimoto A et al Nature Genetics 2012

2 Ding et al Nature 2008

3 Davies H et al Cancer Research 2005

4 Vorechovsky Nature Genetics 1997

5 Yip S et al. J Pathol 2012

6 Greiner TC et al Proc Natl Acad Sci USA 2006.

Localization and frequencies of mutations in ATM, SF3B1, NOTCH1, TP53, XPO1 and BIRC3 genes.

Mutations are indicated at the amino-acid level; each detected alteration is represented by a dot. Mutation type is represented by a dark (missense), white (nonsense) or grey (frameshift) dot. The sequenced exons for each gene are represented with a grey line below each schematic protein organization. 11q-L: 11q- with <40% 11q- 11q-H: ≥40% 11q- T: Truncating mutation NT: Non-truncating mutation 1 Fujimoto A et al Nature Genetics 2012 2 Ding et al Nature 2008 3 Davies H et al Cancer Research 2005 4 Vorechovsky Nature Genetics 1997 5 Yip S et al. J Pathol 2012 6 Greiner TC et al Proc Natl Acad Sci USA 2006. All the mutations were located in exons 3–60, between amino acids 29 and 2913, and involved the FAT and PI3K domains of the ATM protein. Five mutations resulted in a truncated form of the ATM protein (termed ‘truncating’) while the remaining mutations resulted in the expression of the full-length, but mutated form of the ATM protein (termed ‘non-truncating’). These missense mutations were analyzed with SIFT algorithms, which predicted six of them to be damaging. The median mutational burden was 14.3% (range, 2.0–92.5%). Eight of 14 (57.1%) variants had a mutational load of ≤15% and thus would not have been detected by capillary Sanger sequencing. The TFT and OS were assessed in all patients and related to the mutational status of the ATM gene. There was no difference in TFT or OS between 11q- patients with and without ATM mutations (P<0.970 and P<0.623, respectively). Interestingly, bivariate analyses indicated that the presence of ATM mutations was a useful characteristic for identifying CLL patients with a different TFT in the subgroup of CLL patients with low frequencies of 11q-. Thus, CLL with ATM mutations had a shorter TFT than patients without ATM mutations (36 vs 46 months; P = 0.046). By contrast, 11q patients harboring ≥40% of 11q- had shorter TFT independently of ATM mutational status. Moreover, there was no significant association between the presence of an ATM mutation and other clinical or biological prognostic factors (Table D in S1 File).

SF3B1 is a frequently mutated gene in CLL patients with 11q-

Mutations in TP53, NOTCH1, SF3B1, MYD88, FBXW7, XPO1 and BIRC3 were analyzed in the entire cohort of 25 CLL patients. In total, 20 mutations were detected: eight patients had SF3B1 mutations, five cases had mutations in NOTCH1, four in TP53, two in XPO1, while one CLL had a mutation in BIRC3. Most of them had previously been described as mutations in the COSMIC database. The median mutational burden was 27% (range, 3–81%). In 7/20 (35%) variants the mutation load was ≤15%. The frequency of 11q- CLL with associated mutations was 8/25 (32%) for SF3B1, 5/25 (20%) for NOTCH1, 4/25 (16%) for TP53, 2/25 (8%) for XPO1 and 1/25 (4%) for BIRC3. These mutations are shown in Fig 2 and listed in Table 5. Confirming previously published sequencing data, the most frequent SF3B1 mutation was p.Lys700Glu (4/8, 50%) while the presence of p.Pro2514Argfs*4 was the most frequent NOTCH1 mutation (5/5, 100%). In addition, 50% of the 11q- CLL patients with TP53 mutations also showed 17p-.
Table 5

Mutations in other genes in 25 CLL patients with del(11q).

Patient IDFISHMutations
% 11q-11q- groupOther abnormalitiesGeneMutational load (%)Sequence changeExonProtein changeCOSMIC database
102611q-L- SF3B1 17c.2225G>A16p.Gly742AspCOSM145923
142711q-L30% 13q- NOTCH1 6c.7541_7542delCT34p.Pro2514ArgfsX4COSM12774
224811q-H- SF3B1 4c.2098A>G15p.Lys700GluCOSM84677
224811q-H- TP53 28c.824G>A8p.Cys275TyrCOSM10893
2148.511q-H81.5% 13q- SF3B1 25c.1645C>T12p.Arg549CysCOSM1014502
2148.511q-H81.5% 13q- TP53 16c.1024C>T10p.Arg342XCOSM11073
256211q-H- NOTCH1 68.5c.7541_7542delCT34p.Pro2514ArgfsX4COSM12774
187011q-H37.5% 13q- SF3B1 34c.2098A>G15p.Lys700GluCOSM84677
67311q-H- SF3B1 39c.2098A>G15p.Lys700GluCOSM84677
67311q-H- NOTCH1 4c.7541_7542delCT34p.Pro2514ArgfsX4COSM12774
207811q-H63% 13q- SF3B1 46.5c.1988C>T14p.Thr663IleCOSM145921
168311q-H56% 13q- SF3B1 4c.2098A>G15p.Lys700GluCOSM84677
138311q-H86% 13q- TP53 7.5c.613T>G6p.Tyr205AspCOSM43844
983.511q-H61% 13q- NOTCH1 3c.7541_7542delCT34p.Pro2514ArgfsX4COSM12774
584.511q-H87% 17p- NOTCH1 45c.7541_7542delCT34p.Pro2514ArgfsX4COSM12774
1984.511q-H85% 13q- XPO1 47.5c.1711G>A15p.Glu571LysCOSM96797
48911q-H87% 17p- TP53 81c.833C>G8p.Pro278ArgCOSM10887
48911q-H87% 17p- BIRC3 12c.1813T>C9p.X605ArgextX11-
19011q-H87%13q- SF3B1 50.5c.1986C>G14p.His662GlnCOSM110692
179711q-H97% 13q- XPO1 51c.1712A>C15p.Glu571AlaCOSM1291526
In terms of prognostic relevance, significant differences were observed only in TFT between 11q- patients with and without NOTCH1 mutations (5 vs 36 months; P = 0.031) and in OS between patients with and without TP53 mutations (1 vs 197 months; P<0.003) (Fig C in S1 File).

Genetic mutations are associated with a higher percentage of 11q- cells

As a next step towards understanding the clinical differences within the 11q- subgroup, the association between the presence of genetic mutations and the percentage of 11q- cells in CLL patients was examined. The incidence of ATM mutations was similar in the two groups. Thus, 29.4% of patients with a high frequency of 11q- exhibited ATM mutations while 37.5% of patients with a low frequency of 11q losses had ATM mutations (P = 0.513). However, considering the mutations of all the genes analyzed, fewer patients with low frequencies of 11q- had mutations among genes examined compared with the subgroup of a high number of losses 11q- (4/8, 50% vs 16/17, 94.1%; P = 0.023) (Fig 3). Interestingly, among the CLL patients without a gene mutation, the median proportion of the CLL tumor population with an 11q deletion was significantly lower than that of CLL patients with mutated genes (20.5%, range, 12–71.5% vs 80.3%, range, 26–97%; P = 0.007). TP53 mutations were present only in patients with a high frequency of 11q- cells.
Fig 3

Distribution of mutations of ATM, SF3B1, NOTCH1, TP53, XPO1 and BIRC3 among 11q- CLL patients with respect to the percentage of 11q- cells.

In the heat maps, rows correspond to identical genes, and columns represent individual patients color-coded on the basis of gene status (white: wild type; grey: mutated gene).

Distribution of mutations of ATM, SF3B1, NOTCH1, TP53, XPO1 and BIRC3 among 11q- CLL patients with respect to the percentage of 11q- cells.

In the heat maps, rows correspond to identical genes, and columns represent individual patients color-coded on the basis of gene status (white: wild type; grey: mutated gene).

Discussion

In this study, we analyzed the outcome of 11q-deleted CLL patients at diagnosis with respect to TFT and OS, and the presence of mutations in the most relevant genes to date in CLL. The importance of the percentage of cells displaying a genetic aberration determined by FISH, as an independent prognostic factor in CLL, has recently been recognized in 17p-, 13q- and +12 [2,22-24,29,30], whereby a high number of cells with 13q deletion has been associated with a worse outcome [2,22-24]. In fact, patients displaying a high degree of infiltration of 13q- had an intermediate prognosis, with a shorter time to first therapy and survival than those with normal cytogenetics or trisomy 12 [2,22-24]. In addition, patients with fewer losses in 17p or patients with a low number of trisomy 12 have a better outcome [29,31]. Several reports have shown the 11q deletion to be a factor predicting poor prognosis in CLL [1,25,32]. In the present study, we have confirmed these previous observations, whereby CLL patients with 11q- had a median time of 2 years to receipt of first therapy and an overall survival of 8 years. Although the present study is a retrospective and multicenter analysis of a series of CLLs, the characteristics of the patients agree real-world basis. Thus, a median age of 65 years, predominance of male sex (76%) and frequent lymphadenopathy (69%) were observed, as previously described [1]. In addition, 66% of patients had unmutated IGHV status with more than 50% of cases expressing CD38 and/or ZAP-70. Of note, we have observed that the number of cells carrying 11q- influences the disease outcome in terms of time to first therapy and overall survival. These results are consistent with those of two recently published series that reported a longer TFT in patients with 11q deletion and a low number of losses [33,34]. However, one of these studies found no improvement in the overall survival in this group of patients [34]. Therefore, the present study confirms that patients with 11q deletion do not comprise a homogeneous subgroup. We identified a threshold of 40% of deleted cells to be optimal for showing that a low number of losses in 11q is associated with a better outcome in terms of TFT and OS. However, the use of other cut-off points (i.e., <40% vs 40–59% vs ≥60%) yielded similar results. Interestingly, this study showed that CLL with losses in 11q with early clinical stage, mutated IGHV status and/or a low number of losses in the 11q chromosome had a TFT of more than two years compared with cases with >40% of cells with 11q deletion (median, 44 vs 19 months), similar to previously reported results [34]. Therefore, we identified the presence of advanced clinical stages, unmutated IGHV, and a high number of losses in 11q as the main predictors indicating therapy in the group of CLL displaying 11q-. Moreover, CLL patients with a lower percentage of 11q deletion had a better OS than those with ≥40% of 11q-deleted nuclei (median, not reached vs 90 months), with an estimated 3 years longer survival in patients with less than 40% of 11q deletions. In addition, clinical (absence of splenomegaly) or biological variables (low 11q-, low LDH and β2M) were included in the final multivariate model of OS. Therefore, the assessment of the number of 11q- cells should be included to better define survival in patients with CLL displaying this genetic abnormality and could be incorporated into the design of clinical trials to define their influence on the response to new therapies and on survival. To better define the molecular characteristics of the CLL patients displaying losses in 11q, a mutational study performed by next-generation sequencing, including the most frequently mutated genes in CLL, was carried out. The results showed that patients with a low number of 11q losses displayed fewer mutations. Interestingly, ATM mutations were present in both cohorts of 11q- patients at a similar frequency to those previously reported [9,35-37]. We found no significant impact of ATM mutations on prognosis for all the 11q- patients, as described by other authors [9,37]. However, focusing on the group of patients with a low number of 11q losses, ATM mutations were useful for identifying CLL patients with a shorter TFT. Thus, our results suggest that the integration of molecular markers, such as ATM mutations, and the FISH analysis, in patients showing loss of 11q could provide a better prognostic stratification than has been recently demonstrated in other CLL patients [20]. The presence of gene mutations has been widely demonstrated in CLL [11-14]. Mutations of TP53, NOTCH1, SF3B1 and BIRC3 are known to be associated with a worse prognosis, while mutations in MYD88 are related to a better outcome [18,19,21,38,39]. However, some of the results concerning the incidence and independent prognostic value of these mutations are controversial [12,14]. We observed a higher percentage of CLL patients with XPO1 mutations in our cohort of patients than in those described by others [12,13,19,40]. However, it should be taken in account the limitation of the size of our sequencing samples cohort. Consistent with previous studies, mutations of NOTCH1 and TP53 occurred as mutually exclusive events [13,15]. Of note, TP53 mutations were only detected in patients with a high frequency of 11q losses. Furthermore, NOTCH1 and SF3B1 mutations were more frequent in this group of 11q- CLLs (Fig 3). Therefore, our study provides new insights into the molecular basis of the worse outcome of CLL patients who have losses in 11q. It should be noted that the high frequency of gene mutations did not involve the ATM gene, suggesting that the clonal evolution (heterogeneity) affecting any CLL-related gene could be the basis of the dismal prognosis of patients with a high frequency of 11q- [12,40,41]. In summary, our results suggest that in patients with CLL, the frequency of 11q-deleted cells influences the clinical outcome, and a low number of 11q- is associated with a longer time to progression and overall survival. In addition, this study shows that fewer CLL patients with low frequencies of 11q- had mutations among genes examined. Our findings, derived from a large retrospective cohort of CLL patients from several Spanish institutions, need to be validated in prospective clinical trials.

Supplementary methods data.

Characteristics of the series of 197 CLL patients with 11q deletion (Table A). Univariate analysis of time to first therapy in 11q- CLL patients with respect to the number of losses detected by FISH: <40% (n = 51) or ≥40% (n = 146) (Table B). Univariate analysis of overall survival in 11q- CLL patients with respect to the number of losses detected by FISH: <40% (n = 51) or ≥40% (n = 146) (Table C). Main clinical and biological characteristics of 25 CLL patients with 11q- with respect to ATM mutational status (Table D). PCR primers used for next-generation sequencing studies (Table E). A: PCR amplification protocol for ATM. B. B: PCR amplification protocol for the remaining genes (Table F). Median frequency of reads generated by next-generation sequencing (NGS) (Table G). A. Time to first therapy (TFT) and B. Overall survival (OS) of the global series of 197 CLL patients with 11q deletion (Fig A), A. Time to first therapy (TFT) and B. Overall survival (OS) of patients with CLL and 11q deletion and a percentage of FISH losses <40%, 41–59% or ≥60% (Fig B). Kaplan-Meier plots of time to first therapy (TFT) (A) and overall survival (OS) (B) from diagnosis for 11q- CLL patients sequenced for NOTCH1 and TP53, respectively (Fig C) (DOC) Click here for additional data file.
  41 in total

1.  The value of fluorescence in situ hybridization for the detection of 11q in multiple myeloma.

Authors:  M Belén González; Jesús M Hernández; Juan L García; Eva Lumbreras; Mariana Castellanos; José M Hernández; Javier Fernández-Calvo; Norma C Gutiérrez; Jesús F San Miguel
Journal:  Haematologica       Date:  2004-10       Impact factor: 9.941

2.  Mutations of NOTCH1 are an independent predictor of survival in chronic lymphocytic leukemia.

Authors:  Davide Rossi; Silvia Rasi; Giulia Fabbri; Valeria Spina; Marco Fangazio; Francesco Forconi; Roberto Marasca; Luca Laurenti; Alessio Bruscaggin; Michaela Cerri; Sara Monti; Stefania Cresta; Rosella Famà; Lorenzo De Paoli; Pietro Bulian; Valter Gattei; Anna Guarini; Silvia Deaglio; Daniela Capello; Raul Rabadan; Laura Pasqualucci; Riccardo Dalla-Favera; Robin Foà; Gianluca Gaidano
Journal:  Blood       Date:  2011-11-10       Impact factor: 22.113

3.  SF3B1 mutations correlated to cytogenetics and mutations in NOTCH1, FBXW7, MYD88, XPO1 and TP53 in 1160 untreated CLL patients.

Authors:  S Jeromin; S Weissmann; C Haferlach; F Dicker; K Bayer; V Grossmann; T Alpermann; A Roller; A Kohlmann; T Haferlach; W Kern; S Schnittger
Journal:  Leukemia       Date:  2013-09-12       Impact factor: 11.528

4.  High fluorescence in situ hybridization percentage of deletion 11q in patients with chronic lymphocytic leukemia is an independent predictor of adverse outcome.

Authors:  Preetesh Jain; Michael Keating; Phillip A Thompson; Long Trinh; Xuemei Wang; William Wierda; Alessandra Ferrajoli; Jan Burger; Hagop Kantarjian; Zeev Estrov; Lynne Abruzzo; Susan O'Brien
Journal:  Am J Hematol       Date:  2015-03-30       Impact factor: 10.047

5.  A high proportion of cells carrying trisomy 12 is associated with a worse outcome in patients with chronic lymphocytic leukemia.

Authors:  Isabel González-Gascón Y Marín; María Hernández-Sánchez; Ana-Eugenia Rodríguez-Vicente; Carmen Sanzo; Anna Aventín; Anna Puiggros; Rosa Collado; Cecilia Heras; Carolina Muñoz; Julio Delgado; Margarita Ortega; María-Teresa González; Isabel Marugán; Ignacio de la Fuente; Isabel Recio; Francesc Bosch; Blanca Espinet; Marcos González; Jesús-María Hernández-Rivas; José-Ángel Hernández
Journal:  Hematol Oncol       Date:  2015-02-17       Impact factor: 5.271

6.  SF3B1 and other novel cancer genes in chronic lymphocytic leukemia.

Authors:  Lili Wang; Michael S Lawrence; Youzhong Wan; Petar Stojanov; Carrie Sougnez; Kristen Stevenson; Lillian Werner; Andrey Sivachenko; David S DeLuca; Li Zhang; Wandi Zhang; Alexander R Vartanov; Stacey M Fernandes; Natalie R Goldstein; Eric G Folco; Kristian Cibulskis; Bethany Tesar; Quinlan L Sievers; Erica Shefler; Stacey Gabriel; Nir Hacohen; Robin Reed; Matthew Meyerson; Todd R Golub; Eric S Lander; Donna Neuberg; Jennifer R Brown; Gad Getz; Catherine J Wu
Journal:  N Engl J Med       Date:  2011-12-12       Impact factor: 91.245

7.  Guidelines for the diagnosis and treatment of chronic lymphocytic leukemia: a report from the International Workshop on Chronic Lymphocytic Leukemia updating the National Cancer Institute-Working Group 1996 guidelines.

Authors:  Michael Hallek; Bruce D Cheson; Daniel Catovsky; Federico Caligaris-Cappio; Guillaume Dighiero; Hartmut Döhner; Peter Hillmen; Michael J Keating; Emili Montserrat; Kanti R Rai; Thomas J Kipps
Journal:  Blood       Date:  2008-01-23       Impact factor: 22.113

8.  Patients with chronic lymphocytic leukaemia and clonal deletion of both 17p13.1 and 11q22.3 have a very poor prognosis.

Authors:  Patricia T Greipp; Stephanie A Smoley; David S Viswanatha; Lori S Frederick; Kari G Rabe; Ruchi G Sharma; Susan L Slager; Daniel L Van Dyke; Tait D Shanafelt; Renee C Tschumper; Clive S Zent
Journal:  Br J Haematol       Date:  2013-08-27       Impact factor: 6.998

9.  The clinical significance of NOTCH1 and SF3B1 mutations in the UK LRF CLL4 trial.

Authors:  David G Oscier; Matthew J J Rose-Zerilli; Nils Winkelmann; David Gonzalez de Castro; Belen Gomez; Jade Forster; Helen Parker; Anton Parker; Anne Gardiner; Andrew Collins; Monica Else; Nicholas C P Cross; Daniel Catovsky; Jonathan C Strefford
Journal:  Blood       Date:  2012-10-18       Impact factor: 22.113

10.  Assessment of fludarabine plus cyclophosphamide for patients with chronic lymphocytic leukaemia (the LRF CLL4 Trial): a randomised controlled trial.

Authors:  D Catovsky; S Richards; E Matutes; D Oscier; Mjs Dyer; R F Bezares; A R Pettitt; T Hamblin; D W Milligan; J A Child; M S Hamilton; C E Dearden; A G Smith; A G Bosanquet; Z Davis; V Brito-Babapulle; M Else; R Wade; P Hillmen
Journal:  Lancet       Date:  2007-07-21       Impact factor: 79.321

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  10 in total

1.  An extensive molecular cytogenetic characterization in high-risk chronic lymphocytic leukemia identifies karyotype aberrations and TP53 disruption as predictors of outcome and chemorefractoriness.

Authors:  Gian Matteo Rigolin; Luca Formigaro; Maurizio Cavallari; Francesca Maria Quaglia; Enrico Lista; Antonio Urso; Emanuele Guardalben; Sara Martinelli; Elena Saccenti; Cristian Bassi; Laura Lupini; Maria Antonella Bardi; Eleonora Volta; Elisa Tammiso; Aurora Melandri; Massimo Negrini; Francesco Cavazzini; Antonio Cuneo
Journal:  Oncotarget       Date:  2017-04-25

2.  Next-generation sequencing and FISH studies reveal the appearance of gene mutations and chromosomal abnormalities in hematopoietic progenitors in chronic lymphocytic leukemia.

Authors:  Miguel Quijada-Álamo; María Hernández-Sánchez; Cristina Robledo; Jesús-María Hernández-Sánchez; Rocío Benito; Adrián Montaño; Ana E Rodríguez-Vicente; Dalia Quwaider; Ana-África Martín; María García-Álvarez; María Jesús Vidal-Manceñido; Gonzalo Ferrer-Garrido; María-Pilar Delgado-Beltrán; Josefina Galende; Juan-Nicolás Rodríguez; Guillermo Martín-Núñez; José-María Alonso; Alfonso García de Coca; José A Queizán; Magdalena Sierra; Carlos Aguilar; Alexander Kohlmann; José-Ángel Hernández; Marcos González; Jesús-María Hernández-Rivas
Journal:  J Hematol Oncol       Date:  2017-04-11       Impact factor: 17.388

3.  Distinct immunoglobulin heavy chain variable region gene repertoire and lower frequency of del(11q) in Taiwanese patients with chronic lymphocytic leukaemia.

Authors:  Ying-Jung Huang; Ming-Chung Kuo; Hung Chang; Po-Nan Wang; Jin-Hou Wu; Yen-Min Huang; Ming-Chun Ma; Tzung-Chih Tang; Ching-Yuan Kuo; Lee-Yung Shih
Journal:  Br J Haematol       Date:  2019-06-23       Impact factor: 6.998

4.  Dissecting the role of TP53 alterations in del(11q) chronic lymphocytic leukemia.

Authors:  Miguel Quijada-Álamo; Claudia Pérez-Carretero; María Hernández-Sánchez; Ana-Eugenia Rodríguez-Vicente; Ana-Belén Herrero; Jesús-María Hernández-Sánchez; Marta Martín-Izquierdo; Sandra Santos-Mínguez; Mónica Del Rey; Teresa González; Araceli Rubio-Martínez; Alfonso García de Coca; Julio Dávila-Valls; José-Ángel Hernández-Rivas; Helen Parker; Jonathan C Strefford; Rocío Benito; José-Luis Ordóñez; Jesús-María Hernández-Rivas
Journal:  Clin Transl Med       Date:  2021-02

Review 5.  The Evolving Landscape of Chronic Lymphocytic Leukemia on Diagnosis, Prognosis and Treatment.

Authors:  Claudia Pérez-Carretero; Isabel González-Gascón-Y-Marín; Ana E Rodríguez-Vicente; Miguel Quijada-Álamo; José-Ángel Hernández-Rivas; María Hernández-Sánchez; Jesús María Hernández-Rivas
Journal:  Diagnostics (Basel)       Date:  2021-05-10

Review 6.  Next-generation sequencing in chronic lymphocytic leukemia: recent findings and new horizons.

Authors:  Ana E Rodríguez-Vicente; Vasilis Bikos; María Hernández-Sánchez; Jitka Malcikova; Jesús-María Hernández-Rivas; Sarka Pospisilova
Journal:  Oncotarget       Date:  2017-07-24

7.  CRISPR/Cas9-generated models uncover therapeutic vulnerabilities of del(11q) CLL cells to dual BCR and PARP inhibition.

Authors:  Miguel Quijada-Álamo; María Hernández-Sánchez; Verónica Alonso-Pérez; Ana E Rodríguez-Vicente; Ignacio García-Tuñón; Marta Martín-Izquierdo; Jesús María Hernández-Sánchez; Ana B Herrero; José María Bastida; Laura San Segundo; Michaela Gruber; Juan Luis García; Shanye Yin; Elisa Ten Hacken; Rocío Benito; José Luis Ordóñez; Catherine J Wu; Jesús María Hernández-Rivas
Journal:  Leukemia       Date:  2020-01-23       Impact factor: 11.528

Review 8.  Recent progress of prognostic biomarkers and risk scoring systems in chronic lymphocytic leukemia.

Authors:  Xiaoya Yun; Ya Zhang; Xin Wang
Journal:  Biomark Res       Date:  2020-09-07

9.  <i>SF3B1</i>-mutated chronic lymphocytic leukemia shows evidence of NOTCH1 pathway activation including CD20 downregulation

Authors:  Federico Pozzo; Tamara Bittolo; Erika Tissino; Filippo Vit; Elena Vendramini; Luca Laurenti; Giovanni D'Arena; Jacopo Olivieri; Gabriele Pozzato; Francesco Zaja; Annalisa Chiarenza; Francesco Di Raimondo; Antonella Zucchetto; Riccardo Bomben; Francesca Maria Rossi; Giovanni Del Poeta; Michele Dal Bo; Valter Gattei
Journal:  Haematologica       Date:  2021-12-01       Impact factor: 9.941

10.  Biological significance of monoallelic and biallelic BIRC3 loss in del(11q) chronic lymphocytic leukemia progression.

Authors:  José Luis Ordóñez; Jesús-María Hernández-Rivas; Miguel Quijada-Álamo; María Hernández-Sánchez; Ana-Eugenia Rodríguez-Vicente; Claudia Pérez-Carretero; Alberto Rodríguez-Sánchez; Marta Martín-Izquierdo; Verónica Alonso-Pérez; Ignacio García-Tuñón; José María Bastida; María Jesús Vidal-Manceñido; Josefina Galende; Carlos Aguilar; José Antonio Queizán; Isabel González-Gascón Y Marín; José-Ángel Hernández-Rivas; Rocío Benito
Journal:  Blood Cancer J       Date:  2021-07-09       Impact factor: 11.037

  10 in total

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