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. Author manuscript; available in PMC: 2013 Aug 5.
Published in final edited form as: Leukemia. 2012 Aug 20;27(3):740–743. doi: 10.1038/leu.2012.239

Trisomy 12 CLLs progress through NOTCH1 mutations

V Balatti 1, S Lerner 2, L Rizzotto 3, LZ Rassenti 4, A Bottoni 1, A Palamarchuk 1, L Cascione 1,5, H Alder 1, MJ Keating 2, TJ Kipps 4, Y Pekarsky 1, CM Croce 1
PMCID: PMC3733494  NIHMSID: NIHMS488023  PMID: 22902365

B-cell chronic lymphocytic leukemia (CLL) is the most common adult leukemia in Western societies.1 CLL cases can be subgrouped into two types, aggressive or indolent, defined as cases that express high levels of Zeta-chain-associated protein kinase 70 (ZAP70) and unmutated immunoglobulin heavy-chain variable-region genes (IGHV), or low to negligible ZAP70 and mutated IGHV. Chromosomal aberrations can be identified in more than 80% of patients.1 The most frequent genetic alterations include deletion/ inactivation of 13q14 (450%), deletion of 11q22–23 (18%), trisomy of 12 (12–16%) and deletion 17p (7–10%).1

Two recent studies reported whole-genome sequencing of CLL samples and found NOTCH1 is the most frequently mutated gene in CLL,2,3 although we found a mutation frequency of only 3.5% in a large cohort of CLL.4

Our recent report showed that NOTCH1 mutations in CLL associate with trisomy 12.4 We found 41.9% NOTCH1 mutation frequency in aggressive trisomy 12 CLL cases, suggesting that activation of NOTCH1 has a critical role in IGVH unmutated/ ZAP70 + trisomy 12 CLL.4

NOTCH1 encodes a class I transmembrane protein functioning as a ligand-activated transcription factor.5,6 Upon ligand binding, Notch1 undergoes several proteolytic cleavages resulting in translocation of the Notch1 intracellular domain (ICN) to the nucleus where it has an important role in cell differentiation, proliferation and apoptosis, leading to transcriptional activation of multiple target genes, including MYC.7 ICN contains PEST domain targeting ICN for ubiquitinylation and degradation.5,6 Almost all NOTCH1 mutations in CLL are represented by the two base deletion frame-shift, resulting in a truncated constantly active protein lacking the C-teminal PEST degradation domain.2,3

On the basis of our previous findings, we investigated whether NOTCH1 mutations are early events in trisomy 12 CLL, or these mutations are associated with CLL progression. Mutations were most commonly observed in 100% of cells with one WT allele and one mutant allele, but we also found samples with different mutation frequencies.4 Looking for change in mutation frequencies, we sequenced serial samples of 78 trisomy 12 CLL patients, and found 10 informative cases (Table 1). First, we studied two samples from each patient taken as far as possible. Patients were than subgrouped in two categories: patients with constant NOTCH1 mutation rate and patients with changes in NOTCH1 mutation rate. Only samples showing changes in NOTCH1 mutation rate were considered informative. Clinical data were obtained to verify the disease progression and middle time points of these patients were tested to verify changes in NOTCH1 mutation rate during progression. In these cases mutation frequency varied from 100% WT alleles (both alleles were WT) to 10% WT allele and 90% mutated allele (in most cells both alleles were mutated) (Supplementary Figure 1).

Table 1.

Detailed description of informative CLL samples showing that NOTCH1 mutations associate with CLL progression

Patient no. Sample date NOTCH1 Mut Sample-ID WT% Mut% WBC (109/l) Spleen (cm) B2M (mg/dl) %ZAP %VH
11 13/7/2009 ΔCT 51V 90 10 30.9 0 1.5 10.4 99.7
16/5/2011 ΔCT 1069 60 40 126.3 0 1.3
15 9/4/2002 ΔCGC 8Y 90 10 43.7 3 2.1 25.1 100
Treated 21/1/2003
31/7/2003 ΔCGC 1046 90 10 ND 2 3
14/12/2005 ΔCGC 1047 65 35 439 ND 8.2
Treated 11/4/2006–31/8/2006
1/11/2006 ΔCGC 1048 100 0 3.5 ND 1.9
56 7/4/2009 ΔCT 1024 100 0 24.8 2 2.8 91.9 100
Treated 1/1/2009–1/9/2009
9/11/2010 ΔCT 1137 95 5 5.1 ND 2.7
7/6/2011 ΔCT 1023 80 20 35.5 2 3.5
8/7/2011 ΔCT 1111 80 20 53 2 3.8
65 8/8/2006 ΔCT 59R 50 50 21.9 Edge palpable 2.5 92.4 99.6
30/10/2007 ΔCT 6V 25 75 87.2 ND 3.5
Treated 17/6/2008–11/9/2008
21/11/2008 ΔCT 1013 50 50 5 ND 3.6
15/6/2009 ΔCT 1014 25 75 45.4 5 5.1
Treated 1/8/2009–1/10/2009
30/11/2009 ΔCT 1118 50 50 5.4 ND 3.9
Treated 14/7/2010–1/11/2010
11/1/2011 ΔCT 1119 100 0 ND ND ND
69 31/7/2007 ΔCT 50V 50 50 26.5 ND 2.9 97.7 100
25/1/2008 ΔCT 1121 25 75 71.5 5 6.4
36 17/1/2006 ΔCT 33V 50 50 56.8 5 5.1 83 100
Treated 18/1/2006–7/1/2006
9/10/2008 ΔCT 38M 100 0 3.4 0 2.5
52 22/7/2005 ΔCT 5E 100 0 4.8 0 2.5 67.6 Unmuted
Treated 2007
5/3/2008 ΔCT 5M 50 50 13.2 Enlarged 7.3
77 27/1/2006 ΔCT 49EM 75 25 15 0 1.9 Pos Unmuted
21/1/2009 ΔCT 49M 25 75 216 0 3.7
66 21/4/2009 ΔCT 1139 100 0 4.6 ND ND 73.1 100
28/7/2010 ΔCT 1015 10 90 18.6 ND ND
28 28/2/2007 ΔCT 57R 100 0 88.3 Not palpable ND 61.1 99.6
Treated 9/1/2007
22/10/2008 ΔCT 1006 80 20 8.5 Not palpable ND
15/12/2010 ΔCT 1132 65 35 48.2 Not palpable ND

Abbreviations: B2M, beta(2)-microglobulin; CLL, chronic lymphocytic leukemia; MUT%, ND, not determined; NOTCH1 mutated percentage calculated on both alleles; VH%, percentage of mutation in the variable-heavy region of immunoglobulin chain genes; WBC, white blood count; WT%: NOTCH1 wild-type percentage calculated on both alleles; ZAP70: Zeta-chain-associated protein kinase 70.

Four cases (28, 52, 56 and 66) did not show mutations at the first time points, however, increased mutation frequency was evident at later time points. In all these cases increases in NOTCH1 mutation frequencies were associated with progression of the disease.

Patient 56 showed increase in the mutant allele from 5 to 20%, while white blood cell count (WBC) increased from 5.1 to 53×109/l, and beta(2)-microglobulin (B2M) increased from 2.7 to 3.8 mg/dl. Clinical data supported CLL progression between the time points provided. Patient was first diagnosed in 2001. In April 2009, patient was treated with flurabine and rituximab and showed 0% of NOTCH1 mutation rate. After successful treatment ended in September 2009, NOTCH1 mutation rate rise to 5% as observed in 2010. Patient relapsed and progressed with increase of NOTCH1 mutation to 20% in 2011. In August 2011, patient reinitiated fludarabine and rituximab treatment.

Patient 66 showed increase in the mutant allele from 0 to 90% while WBC increased from 4.6 to 18.6 × 109/l. Patient was treated before the first time point achieving complete response and showed wild-type (WT) NOTCH1 in April 2009. However, contemporaneously with raising of percentage of NOTCH1 mutation rate to 90%, patient developed progressive disease. Bone marrow biopsy revealed presence of lymphocytes constituting 50–60% of overall cellularity, 39% of them having immunophenotype consistent with CLL at flow cytometry evaluation.

Patient 52 showed increase in the mutant allele from 0 to 50%, while WBC increased from 4.8 to 13.2 × 109/l, and B2M increased from 2.5 to 7.3 mg/dl. Patient was initially treated in 2004 and achieved partial response. In 2005, NOTCH1 gene sequence was WT. In 2007, indolent relapse of disease with hemolytic anemia occurred and patient was treated with rituxan. In April 2008, patient relapsed again, disease progressed and NOTCH1 mutation rise to 50%. Consecutively, patient was treated with oxiplatin, fludarabine, cytarabine and rituximab.

Five other cases (11, 15, 65, 69 and 77) also showed increased mutation frequency with disease progression, although in these cases mutations were already present in the first time point samples. Interestingly, in three patients (15, 65 and 36) decreased mutation frequency was associated with treatment response. Patient 15 showed decrease in the mutant allele from 35 to 0%, while WBC decreased after treatment with fludarabine, rituximab and cyclophosphamide from 439 to 3.5 × 109/l, and B2M decreased from 8.2 to 1.9mg/dl. Patient 36 showed decrease in the mutant allele from 50 to 0%, while WBC decreased after treatment with cyclophosphamide, fludarabine, alemtuzumab and rituximab from 56.8 to 3.4 × 109/l, and B2M decreased from 5.1 to 2.5mg/dl.

To investigate the molecular consequences of the expression of constantly active Notch1 protein in trisomy 12 CLLs, we performed genome-wide Affymetrix array analysis by comparing NOTCH1 WT and NOTCH1-mutated samples. To insure reliability of the results all chosen samples were IGVH unmutated/ZAP70 + , and >50% of cells showed trisomy 12 (Supplementary Table 1). Ten of ten NOTCH1 WT samples and six of seven NOTCH1-mutated samples showed tight clustering (Supplementary Figure 2A), the remaining NOTCH1-mutated sample (Mut1) showed only partial clustering (Supplementary Figure 2A). Among 20 most upregulated genes in NOTCH1-mutated samples, we did not find any genes with known oncogenic function. However, 10 of the 20 most downregulated genes in NOTCH1-mutated samples have known tumor suppressor or pro-apoptotic function (Table 2). Among these downregulated genes, we found three members of the FOS gene family associated with apoptotic cell death in CLL8(c-FOS, FOSB and FOSL2), CDKN1A (p21), a p53-dependent cell cycle inhibitor,9 and NR4A3 (NOR1), a known inducer of apoptosis in lymphoid cells10 (Table 2). Microarray data were confirmed by real-time reverse-transcription PCR for the following genes: CDKN1A (p21), c-FOS and FOSB (Supplementary Figure 2B). Thus, we concluded that activated Notch1 inhibits multiple tumor suppressors in trisomy 12 CLLs.

Table 2.

Ten out of 20 most downregulated genes in NOTCH1-mutated samples have known tumor suppressor or pro-apoptotic function.

Gene name Reference P-value FC Function
CDKN1A Harper et al.9 0.00457 2.43 Tumor suppressor
FOS Pekarsky et al.8 0.00589 3.62 Pro-apoptotic
FOSB Pekarsky et al.8 0.01604 6.56 Pro-apoptotic
DUSP10 Tanoue et al.11 0.02811 2.30 Anti-proliferative
IFIT2 Stawowczyk et al.12 0.03051 2.19 Tumor suppressor
NR4A3 Mullican et al.10 0.03151 2.52 Pro-apoptotic
EGR1 Huang et al.13 0.03359 3.60 Pro-apoptotic
KLF4 Shields et al.14 0.03436 3.01 Anti-proliferative
FOSL2 Pekarsky et al.8 0.03591 2.10 Pro-apoptotic
IFIT3 Xiao et al.15 0.05028 3.08 Anti-proliferative

Abbreviation: FC, fold change.

As recent studies identified NOTCH1 as the most mutated protein-coding gene in CLL,2,4 it is important to determine whether NOTCH1 mutations are essential in the initiation of CLL, or whether these mutations are associated with progression of trisomy 12 CLLs. Here we found nine CLL cases showing increase of NOTCH1 mutation frequencies associated with severity of the disease including four cases showing WT NOTCH1 at initial time points. Activation of NOTCH1 appears to be involved in downregulation of tumor suppressor and apoptotic key factors, accelerating the progression of the disease. Taken together, these data indicate that NOTCH1 mutations do not cause CLL but rather associate with CLL progression leading to more aggressive form of the disease with poor outcome.

Supplementary Material

Supplementary Materials

Supplementary Figure 1. Examples of different NOTCH1 mutations rates in CLL samples.

Supplementary Figure 2. Microarray analysis of NOTCH1 WT and Mutated samples. A. Clustering of the samples. B. Real time RT-PCR validation of microarray data.

Acknowledgments

The research was supported by the ACS Research Scholar Grant (YP), gift from Swan family (YP), NIH RO1-CA151319 (CMC, PO1-CA81534 of the CLL Research Consortium (lZR, TJK, CMC) and AIL-sezione di Ferrara (lR). We thank Nyla A Heerema (The Ohio State University), Paola Dal Cin, Brigham & Women's Hospital), Marie L Dell' Aquila (Moores Cancer Center) Ayala Aviram (North Shore Hospital) and Daniel Van Dyke (Mayo Clinic) for cytogenetic analysis of CLL samples.

Footnotes

Conflict of Interest: The authors declare no conflict of interest.

Author Contributions: YP and CMC designed research; LZR, TJK, SL and MJK provided patient samples and clinical data; VB, AB, YP, AP, HA, LC and LR performed research and analyzed data; and YP, VB and CMC wrote the paper. All authors critically reviewed and edited the paper.

Contributor Information

Y Pekarsky, Email: pekarsky.yuri@osumc.edu.

CM Croce, Email: carlo.croce@osumc.edu.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Materials

Supplementary Figure 1. Examples of different NOTCH1 mutations rates in CLL samples.

Supplementary Figure 2. Microarray analysis of NOTCH1 WT and Mutated samples. A. Clustering of the samples. B. Real time RT-PCR validation of microarray data.

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