Abstract
Chronic lymphocytic leukemia (CLL) is characterized by low CD20 expression, in part explained by an epigenetic-driven downregulation triggered by mutations of the NOTCH1 gene. In the present study, by taking advantage of a wide and well-characterized CLL cohort (n=537), we demonstrate that CD20 expression is downregulated in SF3B1-mutated CLL to an extent similar to NOTCH1-mutated CLL. In fact, SF3B1-mutated CLL cells show common features with NOTCH1- mutated CLL cells, including a gene expression profile enriched in NOTCH1-related gene sets and elevated expression of the active intracytoplasmic NOTCH1. Activation of the NOTCH1 signaling and downregulation of surface CD20 in SF3B1-mutated CLL cells correlate with overexpression of an alternatively spliced form of DVL2, a component of the Wnt pathway and negative regulator of the NOTCH1 pathway. These findings were confirmed by separately analyzing the CD20dim and CD20bright cell fractions from SF3B1-mutated cases as well as by DVL2 knockout experiments in CLL-like cell models. Together, the clinical and biological features that characterize NOTCH1-mutated CLL may also be recapitulated in SF3B1-mutated CLL, contributing to explain the poor prognosis of this CLL subset and providing the rationale for expanding therapies based on novel agents to SF3B1-mutated CLL.
Introduction
Chronic lymphocytic leukemia (CLL) is characterized by pronounced clinical and biological heterogeneity.1 Therapy regimens that include monoclonal antibodies against CD20 are widely used, both as single agents and in combination2,3 although, in specific CLL subsets, the efficacy of anti-CD20 therapy may be reduced by the peculiar dimmer expression of CD20 in CLL4-6 compared to other lymphoproliferative disorders.7
A number of factors have been variously associated with CD20 regulation, e.g., NF-B signaling, the CXCR4 pathway, B-cell receptor (BCR) signaling, histone deacetylases and activity of multiple transcription factors (such as IRF4, NF-B, PU.1, OCT1/2);8 in addition, CD20 expression in CLL can be also affected by mutations of the NOTCH1 gene whose presence, detected in up to 25% of cases,9 has been associated with clinical resistance to anti-CD20 immunotherapy both in clinical trials and real-world scenarios.10-12 We previously demonstrated that the reduction of CD20 expression in NOTCH1-mutated CLL cells could be due to a NOTCH1 mutation-driven epigenetic dysregulation involving histone deacetylases.5,13 Although genetic mutations represent the main contributor to the aberrant activation of the NOTCH1 pathway in CLL,14 a mutation-independent activation was also reported for a significant fraction of NOTCH1-unmutated cases.15 In that setting, however, nothing is known regarding the mechanism(s) behind the activation of NOTCH1 and the concomitant modulation of CD20 expression.
Another recurrently mutated gene in CLL is the RNA splicing factor 3b subunit 1 (SF3B1), found mutated in about 10% CLL cases.16-19 SF3B1 is a key component of the splicing machinery, responsible of recognizing the branch-point sequences in proximity of the 3′ splice site (acceptor site) allowing intron removal from precursor messenger RNA. Mutations are predicted to alter the protein’s tertiary structure, hampering the correct high-affinity recognition of the branch-point sequences and resulting in the selection of alternative 3ʹ splice sites. This leads to aberrantly spliced transcripts, gain/change/loss-of-function variants, novel stop codons or downregulation of gene expression through nonsense-mediated decay.20-23
In CLL, mutations of SF3B1 have been shown to induce transcriptome-wide alterations of splicing patterns, resulting in an increased frequency of alternative 3′ splice site selection, with functional consequences on several pathways such as DNA damage, telomere maintenance and, possibly, NOTCH1 signaling,18,19,23,24 although the actual impact of SF3B1 mutations in the pathobiology of CLL remains to be fully elucidated.
In the present study, by taking advantage of a large cohort of primary CLL cases, we demonstrated that SF3B1-mutated CLL have features of NOTCH1 pathway activation and NOTCH1-dependent CD20 downregulation.
Methods
Primary chronic lymphocytic leukemia cells
This study is part of a comprehensive CLL characterization approved by the Internal Review Board of the Centro di Riferimento Oncologico di Aviano (approval n. IRB-05-2010 and IRB-05-2015) upon informed consent in accordance with the Declaration of Helsinki, and included peripheral blood samples from 537 CLL patients (Online Supplementary Table S1).1,25 Primary CLL cells were separated by Ficoll-Hypaque (GE Healthcare, Uppsala, Sweden) density gradient centrifugation and either used directly or cryopreserved until use. All studies were performed on highly purified cells (>95% pure). CLL cases were characterized for IGHV mutational status, the main cytogenetic abnormalities, CD49d expression and mutational status of TP53 as described elsewhere.26,27 In 382/537 cases, time-to-first-treatment (TTFT) data were available (median TTFT 30 months, 95% confidence interval: 27-34 months).
Next-generation sequencing
Mutational status of NOTCH1 and SF3B1 was assessed by next-generation sequencing. An amplicon-based strategy, with at least 2000X coverage, was used for NOTCH1, covering the whole of exon 34 and part of the 3′ untranslated region.9 SF3B1 mutational status was assessed using the Nextera XT DNA Library Prep Kit (Illumina, San Diego, CA, USA) covering exons 10 to 17. For the purpose of the present study, CLL samples were considered mutated for NOTCH1 and SF3B1 if the variant allele frequency (VAF) exceeded 1%9 or 5%, respectively; in the presence of concurrent mutations, cases were assigned to the SF3B1-mutated category.
Evaluation of CD20 expression
CD20 expression was investigated in the whole cohort by flow cytometry, using an anti-CD20 PE-Cy7 antibody (clone L27, BD Biosciences, Milan, Italy) in the neoplastic CD19+/CD5+ and in the normal CD19+/CD5- compartments. Samples were acquired on a FACSCanto II cell analyzer calibrated with CS&T calibration beads (BD Biosciences) and processed with FACSDiva (BD Biosciences) or FlowJo software (FlowJo LLC, Ashland, OR, USA). A complementary analysis of CD20 distribution was implemented as follows: (i) a linear gate (P1) spanning from the peak value of the histogram and comprising the whole CD20bright population was defined; and (ii) the percentage of the P1-gated population was subtracted from the residual (100-%P1) population.28
Gene expression profiling
For gene expression profiling (GEP) experiments, total RNA was labeled, hybridized on oligonucleotide microarray slides (SurePrint G3 Human GE v2 8x60K) and analyzed as previously described.29 Microarray data are available at the Gene Expression Omnibus (http://www.ncbi.nlm.nih.gov/geo/) under accession number GSE137024.
Statistical analyses
Statistical analyses were performed using Medcalc (Medcalc Software Ltd., Ostend, Belgium) and R (www.r-project.org). Data were compared using a two-sided Mann-Whitney rank-test and are presented with Tukey box-and-whisker plots. For correlation analyses, the Spearman rho correlation coefficient was employed. A P-value smaller than 0.05 was considered statistically significant and is represented with asterisks: *P≤0.05, **P≤0.01, ***P≤0.001.
Further details are provided in the Online Supplementary Methods.
Results
SF3B1 and NOTCH1 mutational status in chronic lymphocytic leukemia
In a cohort of 537 unselected CLL cases, we investigated the mutational status of SF3B1 and NOTCH1 by nextgeneration sequencing. SF3B1 mutations were present in 48/537 cases (8.9%), with a VAF ranging from 5.0 to 53.0% (mean 32.0%) (Online Supplementary Table S1) and all clustered in the previously reported canonical hotspots.16,19,23 The residues surrounding Lys700 were the most frequently mutated (23/48, 48%), followed by Gly742 (13/48, 27%) (Figure 1A). Multiple mutations were rare, with one case having two concomitant mutations and one case having three of them (cases #3647 and #3301, respectively) (Online Supplementary Table S1). SF3B1 mutations were associated with TP53 mutations (2 P=0.0313) and with unmutated IGHV status (P=0.0006), but not with specific IGHV alleles. At difference from previous reports,30,31 SF3B1 mutations did not show significant associations with classical chromosomal abnormalities (Online Supplementary Table S2).
NOTCH1 mutations were present in 89/537 cases (16.6%) and concomitant mutations were more common, with 19 cases (19/89, 21.0%) bearing more than one lesion, increasing the overall mutation frequency to 21.6% (116 mutations in 537 cases). The VAF ranged from 1.6 to 84.0% (mean 33.6%) (Online Supplementary Table S1) with 65 canonical c.7541-7542delCT mutations, 35 other truncating mutations (nonsense or frameshift), 12 mutations in the 3′-untranslated region and four missense mutations (Figure 1B). Co-occurrence of NOTCH1 and SF3B1 mutations was infrequent, being detected in only six cases (1.1%) (Online Supplementary Table S1), suggesting two independent events (2 P=0.4268) (Online Supplementary Table S2). The remaining 406 cases were unmutated in both genes (wild-type, WT).
TTFT data were available for 382/537 cases: the TTFT intervals for SF3B1-mutated and NOTCH1-mutated cases were similar and significantly shorter than those of cases lacking all these mutations (P≤0.0001 in all pairwise comparisons with WT) (Figure 1C), in keeping with previously reported studies,11,16,19,32 irrespective of IGHV status (Online Supplementary Figure S1A) or concomitant SF3B1/NOTCH1 mutations (Online Supplementary Figure S1B).
SF3B1-mutated chronic lymphocytic leukemia displays lower expression of CD20 than wild-type cases and similar to NOTCH1-mutated cases
Low CD20 expression represents a hallmark of CLL compared to other lymphoproliferative disorders or normal B cells (Online Supplementary Figure 2A).7 We previously showed that a reduction of CD20 could be due to NOTCH1 mutation-driven epigenetic dysregulation involving histone deacetylases.5,13 To expand this observation, here we investigated whether low CD20 expression was also associated with SF3B1 mutations in CLL, possibly via a non-mutational activation of the NOTCH1 pathway. 15 In keeping with previous observations,5,33 in the whole cohort of 537 cases, CLL bearing trisomy 12 (121/537 cases, 22.5%) had significantly higher expression of CD20 (P<0.0001) (Online Supplementary Figure S2A) and a strong association with NOTCH1 mutations (36/121, 29.8%, χ2 P<0.0001); conversely, SF3B1 mutations were infrequent (6/121, 5.0%, χ2 P=0.0815) (Online Supplementary Figure S2B, Online Supplementary Table S2). Therefore, to avoid confounding effects, for the main subsequent analyses we considered only cases without evidence of trisomy 12 (416/537 cases), irrespectively of other concomitant chromosomal abnormalities.
CD20 expression, determined by mean fluorescence intensity, was lower in SF3B1-mutated cases than in WT cases (SF3B1-mutated, 42 cases, median 7396; WT, 327 cases, median 9538; P=0.0024) (Figure 2A), without differences from NOTCH1-mutated cases 47 cases, median 8438; P=0.3748) (Figure 2A), whose CD20 expression was lower than that of WT cases (P=0.0248), as reported previously. 5,13
CD20 expression is known to be heterogeneous and dispersed in CLL, often spanning a 2- to 3-log range of fluorescence intensity within the CD19+/CD5+ pathological population.34,35 We, therefore, implemented a complementary strategy of analysis, evaluating the percentage of the “CD20dim fraction”, defined as the differential population fraction between the two sides of the fluorescence distribution with respect to the mode (Online Supplementary Figure S2C).28 As a statistically robust measure of skewness, this method allowed us to discriminate cases with homogeneous or heterogeneous CD20 expression (Online Supplementary Figure S2D), with an inverse correlation with mean fluorescence intensity (rho= -0.417, P<0.001) (Figure 2B) and was consistent over time in sequential blood samples of treatment-naïve CLL cases (Online Supplementary Figure S2E). As shown in Figure 2C, the magnitude of the expansion of the CD20dim fraction was clearly increased in CLL cases with mutations of SF3B1 (median 15.5) or NOTCH1 (median 13.4) compared to WT cases (median 8.2; P<0.001 for both comparisons) while there were no evident differences between the SF3B1 mutational hotspots (Figure 2C, right panel). Again, no difference was found between NOTCH1-mutated and SF3B1-mutated cases (P=0.6365). Of note, when analyzed separately, the six cases with concomitant mutations of SF3B1 and NOTCH1 showed a trend for a progressive expansion of the CD20dim fraction (median 19.3; P=0.0466 vs. WT) (Online Supplementary Figure S2F). Although excluded upfront from the analyses, the lower expression of CD20 was also confirmed in the trisomy 12 subset in NOTCH1-mutated CLL5,13 and with a trend in the context of the few SF3B1-mutated cases (Online Supplementary Figure S2G).
SF3B1-mutated cases show evidence of activation of the NOTCH1 pathway
To evaluate whether activation of the NOTCH1 pathway also occurs in primary SF3B1-mutated CLL, we performed GEP on 28 cases, 13 WT versus nine SF3B1-mutated (VAF: range 21-48%, mean 37%) or six NOTCH1-mutated (VAF: range 17-51%, mean 30%) cases, all with unmutated IGHV and devoid of trisomy 12
In the SF3B1-mutated category, 585 array probes (502 upregulated and 83 downregulated) corresponding to 443 known genes (402 upregulated and 41 downregulated) were differentially expressed (Online Supplementary Table S3) compared to WT samples. On the other hand, when comparing the NOTCH1-mutated and the WT categories, we identified 2,097 differentially expressed array probes (1,147 upregulated and 950 downregulated) (Online Supplementary Table S4), corresponding to 1,274 known genes (840 upregulated and 434 downregulated). When this NOTCH1 gene signature was applied to all samples, SF3B1-mutated cases clustered with the NOTCH1-mutated cases (Online Supplementary Figure S3A), suggesting the presence of a common underlying signature. In fact, by merging the 443 SF3B1-mutated differentially expressed genes with the 1,274 NOTCH1-mutated differentially expressed genes, 419/443 (94.6%) were shared and concordantly regulated in the two signatures (390 upregulated and 29 downregulated) (Figure 3A, B). Consistently, when the SF3B1 signature was applied to all samples, NOTCH1-mutated cases clustered together with SF3B1-mutated cases (Online Supplementary Figure S3B). GEP data were externally validated by quantitative reverse transcriptase polymerase reaction (RT-qPCR), selecting four genes related to the NOTCH1 pathway (CD300A, IL1R2, HEY1, HES4) (Online Supplementary Figure S3C). Although in these signatures the differential expression of the single probe dedicated to MS4A1 (the gene encoding CD20) in our GEP platform (see Online Supplementary Methods) was not statistically significant upon correction for the false discovery rate (Online Supplementary Tables S3 and S4), a re-evaluation of MS4A1 transcript expression by RT-qPCR confirmed its significantly lower levels in NOTCH1-mutated versus WT cases (P=0.001) and in SF3B1-mutated versus WT cases (P<0.001) (Online Supplementary Figure S3D).
Gene set enrichment analysis of NOTCH1-mutated versus WT cases revealed a significant enrichment in 11 out of 17 NOTCH1-related datasets (Online Supplementary Table S5) linked to NOTCH1 transcriptional activity and overexpression (Figure 3C, Online Supplementary Figure S4A). Interestingly, one of the most significantly enriched datasets was a recently published CLL-specific NOTCH1 signature.15 The gene set enrichment analysis, using the same 17 NOTCH1-related datasets, when repeated on SF3B1-mutated versus WT cases, identified ten datasets as significantly enriched (Figure 3D, Online Supplementary Figure S4B, Online Supplementary Table S5), including the CLL-specific NOTCH1 signature,15 again suggesting the presence of an active NOTCH1 pathway; it is noteworthy that all ten datasets were included in the 11 datasets enriched in the NOTCH1-mutated cases.
Finally, using western blotting, we evaluated the expression of the NOTCH1 intracytoplasmic domain (NICD), the cleaved active form of NOTCH1 in whole cell lysates of 34 CLL cases, of which 13 SF3B1-mutated among those with the highest mutational burden and seven NOTCH1-mutated cases. We detected a distinct NICD band in all CLL cases with mutations of NOTCH1, while the other samples showed a varying degree of NICD staining, in agreement with previous observations of NOTCH1 pathway activation independent of NOTCH1 mutations.15 To determine a cutoff for NICD positivity, we defined the threshold as the lowest densitometric intensity among NOTCH1-mutated samples (Figure 3E, dashed line). In agreement with GEP data, positive NICD staining could be detected in the majority (8/13) of SF3B1-mutated cases but in only 2/15 WT cases (Online Supplementary Figure S5A), in keeping with observations of a mutation-independent activation of the NOTCH1 pathway in CLL.15 The NICD intensity correlated positively with the mutational burden for both NOTCH1 and SF3B1 mutations further suggesting, for these events, a modulating role on NOTCH1 signaling (Figure 3E) generally more elevated in NICD-positive samples, as determined by RTqPCR of the NOTCH1 target genes DTX1 and CD300A (Online Supplementary Figure S5B).
SF3B1 mutations consistently induce alternative splicing of DVL2
In CLL, mutations of SF3B1 have been shown to induce transcriptome-wide splicing alterations in several genes including DVL2, a key component of the Wnt pathway, reported to act as a negative regulator of NOTCH1.36-40
Using next-generation sequencing in 73 primary CLL cases, we first evaluated SF3B1-induced splicing alterations of DVL2 (Figure 4A) and, as a control, two other highly differentially spliced genes, namely GCC2 and MAP3K7 (Online Supplementary Figure S6A).23 For all three genes, the exact reported splicing defects were highly enriched in all SF3B1-mutated cases (P<0.0001) (Online Supplementary Figure S6B) confirming that these alterations are highly consistent both within and between cohorts.
The expression of alternatively spliced DVL2 (altDVL2 hereafter) was then further investigated by RT-qPCR in a wider cohort of 222/537 CLL cases with available RNA, 35 of which with a SF3B1 mutation, 32 with a NOTCH1 mutation and 155 WT (Figure 4B). RT-qPCR results were highly concordant with next-generation sequencing data (rho=0.827, P<0.0001) (Online Supplementary Figure S6C). Expression of altDVL2 was significantly increased in the presence of SF3B1 mutations (P<0.001) (Figure 4B) and highly correlated with the mutational burden (rho=0.694, P<0.0001) (Figure 4C). This analysis also evidenced that the increase in altDVL2 was independent of the type of SF3B1 mutation, in terms of both mutational hotspot (Figure 4D) or amino-acid residue affected (Online Supplementary Figure S6D). Conversely, there was no significant difference between WT cases and cases bearing SF3B1 or NOTCH1 mutations in the expression of total DVL2 (Online Supplementary Figure S6E). Of note, we detected a low frequency of alternative splicing for DVL2 and the other genes also in WT cases (Online Supplementary Figure S6B, right inset), suggesting that the altDVL2 form may be an underrepresented native splicing variation, particularly favored by a splicing machinery containing the mutated form of SF3B1.
Alternative splicing of DVL2 correlates with NOTCH1 signaling and CD20 expression
We then investigated whether altDVL2 could influence NOTCH1 signaling differently from wild-type DVL2. To do so, we overexpressed an exogenous DVL2, either wildtype or alternate, into a HEK293 NOTCH1-dependent luciferase reporter cell line; in this context, the transfection of wild-type DVL2 but not of altDVL2 was able to repress the promoter activity (P=0.0244 and P=0.96, respectively) (Online Supplementary Figure S7A), in agreement with previous observations23 and consistent with a defective inhibitory role of altDVL2 against the NOTCH1- dependent transcriptional machinery. Similarly, after depletion of wild-type DVL2 by siRNA transfection in the SF3B1-wild-type CLL-like MEC1 cell line, NOTCH1 signaling was found to be increased, as demonstrated by HES1 upregulation (P=0.0176) at 24 h; in addition, CD20 expression was reduced at both protein (P=0.0062) and transcript (P=0.0129) levels (Figure 5A). Taken together, these data corroborate the inhibitory role of DVL2 on the NOTCH1 pathway, counteracted by the presence of its alternate splicing isoform.
In agreement with this observation, SF3B1-mutated CLL cases also showed high expression of the NOTCH1 target gene DTX1 (median SF3B1-mutated 0.0029, median WT 0.0013, P=0.0089; rho=0.369, P=0.0348), similar to NOTCH1-mutated cases (median NOTCH1-mutated 0.0033, median WT 0.0013, P=0.002) (Figure 5B). Notably, in SF3B1-mutated cases, the levels of DTX1 correlated directly with the levels of altDVL2, in keeping with the hypothesis of elevated NOTCH1 signaling in the presence of a less functioning alternatively spliced DVL2 (Figure 5C).
In turn, the expression of DTX1 correlated with reduced CD20 expression; as summarized in Figure 5D and Online Supplementary Figure S7B. SF3B1-mutated and NOTCH1-mutated CLL cases showed a progressively enriched double-positive CD20dim/DTX1 population compared to WT cases (WT vs. SF3B1-mutated, P=0.024; WT vs. NOTCH1-mutated, P<0.001; SF3B1-mutated vs. NOTCH1-mutated, P=0.362; χ2 test for proportions) (Online Supplementary Figure S7B). Accordingly, by performing cell sorting on nine SF3B1-mutated CLL cases, all with clonal SF3B1 mutational burden (VAF 10-50%), we isolated two populations characterized by either high or low CD20 protein and transcript expression. Evaluation of altDVL2 by next-generation sequencing in the two subfractions revealed an increased frequency of the alternatively spliced isoform in the CD20low fraction compared to the CD20high fraction in most cases (P=0.0078), paralleled by a higher expression of DTX1 (P=0.05).
Finally, when challenged in a rituximab-driven complement- dependent cytotoxicity assay, CLL cells from either SF3B1-mutated or NOTCH1-mutated samples displayed a lower relative lysis compared to cells from WT samples (Online Supplementary Figure S7D), in agreement with the dose-dependent response of the assay from CD20 expression levels (rho=0.745, P=0.0085).
Discussion
The CD20 molecule is one of the preferred therapeutic targets for CLL as testified by the widespread use of humanized anti-CD20 antibodies in different therapeutic regimens,2,41 although a dim expression of CD20 is among the peculiar features of CLL and part of the so-called Royal Marsden score for the differential diagnosis of CLL from other B-cell lymphoproliferative disorders.25,42 This notwithstanding, very little is still known about the biological instances that define CD20 expression and determine the stark difference between CLL cells and normal B cells, despite a number of mechanisms having been proposed. Among the many, a few stand out including BCR/CXCR4 signaling,43 NF-B signaling and epigenetic/transcription factors such as histone deacetylases. 8,44
Another of these factors is the presence of mutations of the NOTCH1 gene,5 an emerging novel predictive factor for response to anti-CD20 immunotherapy in patients treated with immuno-chemotherapeutic combinations. 11,12 In the present study, by taking advantage of a large cohort of CLL cases, we show that mutations of the SF3B1 gene represent another factor associated with a reduction of CD20 expression through a mutation-independent activation of the NOTCH1 pathway.
In our cohort, the mutational profile of SF3B1 was consistent with published data, with every mutation falling inside the canonical hotpots.16-19 SF3B1 mutations are consistently associated with an increased rate of aberrant splicing events throughout the transcriptome with varying intensity.23 By analyzing the relative abundance of different splicing variants, we invariably detected a strong increase of aberrantly spliced transcripts on multiple genes in SF3B1-mutated cases, independently of the location of the mutated residue and with a high correlation with the mutational burden. One of these genes was DVL2, whose alternatively spliced form, altDVL2, consisted in an inframe loss of 24 amino acids within exon 11. DVL2 is a key mediator of the Wnt pathway and has demonstrated the ability to act as a negative regulator of the NOTCH1 pathway (Online Supplementary Figure S6A) by binding the NOTCH1-related transcription factor RBPJ.39 and/or the cleaved active form of NOTCH1 (NICD) itself.38
Through co-transfection experiments of exogenous DVL2 in a NOTCH1/RBPJ-dependent luciferase reporter system, we could confirm that the in vitro induction of DVL2 is capable of silencing NOTCH1 signaling, whereas the induction of altDVL2 did not result in proficient silencing, as previously suggested.23 Here, we moved further to primary CLL cells and, using GEP, showed that SF3B1-mutated cases share a gene signature with NOTCH1-mutated cases which drove an unsupervised coclustering of the two categories, with respect to NOTCH1/SF3B1-unmutated cases. In addition, several NOTCH1-specific gene sets were enriched in SF3B1-mutated CLL, further suggesting an active commitment of the NOTCH1 transcriptional machinery in this CLL subset; importantly, one of these gene sets was a custom gene set derived from a CLL-specific NOTCH1 gene signature.15 Consistently, the NICD was clearly detectable in protein lysates of SF3B1-mutated cases, with expression levels often comparable to those observed in NOTCH1-mutated cases. The increased NOTCH1 signaling positively correlated with the expression of altDVL2 and with an elevated CD20dim fraction in SF3B1-mutated CLL cases. These data were corroborated by cell sorting experiments of cell fractions with different CD20 expression levels in the context of SF3B1-mutated CLL cells, and by functional experiments of DVL2 knock-out in a SF3B1-wild-type CLL cell model.
While the NOTCH1 pathway has for long been recognized as active in CLL,14 only few mechanisms are known to explain its activation state. NOTCH1 mutations represent the main but not the sole contributor, as there is evidence of active NOTCH1 signaling occurring in peripheral blood cells of a fraction of NOTCH1-unmutated CLL cases,15 although without a molecular explanation. Our present study may help to sort out at least a fraction of these cases, suggesting that the constitutively activated NOTCH1 pathway can indeed occur in the context of SF3B1-mutated CLL, possibly as the result of diminished repression of the dynamic association between NOTCH1 and RBPJ45 due to higher levels of the inefficient spliced form of DVL2.15,38,39
Wang et al.23 speculated that the numerous changes induced by SF3B1 mutations in the CLL transcriptome may allow neoplastic cells to diversify their evolutionary capacity, most likely through subtle alterations of many gene transcripts rather than through a single fatal lesion. This was hinted by the fact that SF3B1 mutations, usually a later event in CLL evolution,46 may not induce per se neoplastic transformation in B cells but rather drive a more aggressive and adaptive phenotype. This line of reasoning is in keeping with the hypothesis that the activation of the NOTCH1 pathway in CLL may reflect deregulated expression of a physiological signal, required for B lymphocyte maturation and differentiation.15,47
The exploitation of the NOTCH1 pathway by SF3B1- mutated CLL cells may well reflect such a strategy by which the proliferative advantages that characterize NOTCH1-mutated CLL cells can be incorporated in the complex transcriptomic reshaping occurring in SF3B1-mutated CLL, thus contributing to explain the poor prognosis of this CLL subset.11,16,19,32 Also in keeping with the data presented here, it is likely that the documented activation of NOTCH1 in SF3B1-mutated CLL was primarily mediated by the direct involvement of the NICD through the canonical pathway.45 However, the hypothesis of a NICD-independent activation cannot be excluded firsthand, as Notch-independent activity of the transcription factor RBPJ has been documented.48
From a clinical standpoint, the biological similarity of NOTCH1- and SF3B1-mutated CLL could contribute to explain the poor response of these CLL subsets to chemoimmunotherapy. 49,50 As documented by the CLL8 trial for NOTCH1-mutated cases, the clinical behavior of SF3B1-mutated CLL was worse that that of WT CLL, although observed in the context of both FCR (fludarabine, cyclophosphamide and rituximab) and FC (fludarabine and cyclophosphamide) regimens,11 in keeping with the presence of additional mechanism(s) of immunechemo- resistance occurring in SF3B1-mutated CLL cells.23,2
Collectively, our data may provide the biological basis to promote, for SF3B1-mutated CLL patients, the use of novel biological agents, whose activity does not need the addition of anti-CD20 drugs51,52 or of latest-generation anti-CD20 molecules53 which operate independently of specific genetic lesions.54
Footnotes
- Received June 11, 2020
- Accepted October 6, 2020
Correspondence
Disclosures
No conflicts of interests to disclose.
Contributions
FP contributed to design the study, performed the research, analyzed and interpreted the data and wrote the manuscript; TB performed the research; ET, FV, EV, AZ, RB and FMR contributed to perform the research; LL, GDA, JO, FDR, AC, FZ, GP and GDP provided well characterized biological samples and contributed to writing the manuscript; MDB contributed to design the study; VG designed the study, interpreted the data, wrote and edited the manuscript.
References
- Hallek M. Chronic lymphocytic leukemia: 2017 update on diagnosis, risk stratification, and treatment. Am J Hematol. 2017; 92(9):946-965. https://doi.org/10.1002/ajh.24826PubMedGoogle Scholar
- Falchi L, Ferrajoli A, Jacobs I, Nava-Parada P. An evidence-based review of anti-CD20 antibody-containing regimens for the treatment of patients with relapsed or refractory chronic lymphocytic leukemia, diffuse large B-cell lymphoma, or follicular ymphoma. Clin Lymphoma Myeloma Leuk. 2018; 18(8):508-518. https://doi.org/10.1016/j.clml.2018.05.009PubMedGoogle Scholar
- Brown JR, Cymbalista F, Sharman J, Jacobs I, Nava-Parada P, Mato A. The role of rituximab in chronic lymphocytic leukemia treatment and the potential utility of biosimilars. Oncologist. 2018; 23(3):288-296. https://doi.org/10.1634/theoncologist.2017-0150PubMedPubMed CentralGoogle Scholar
- Golay J, Lazzari M, Facchinetti V. CD20 levels determine the in vitro susceptibility to rituximab and complement of Bcell chronic lymphocytic leukemia: further regulation by CD55 and CD59. Blood. 2001; 98(12):3383-3389. https://doi.org/10.1182/blood.V98.12.3383PubMedGoogle Scholar
- Pozzo F, Bittolo T, Arruga F. NOTCH1 mutations associate with low CD20 level in chronic lymphocytic leukemia: evidence for a NOTCH1 mutation-driven epigenetic dysregulation. Leukemia. 2016; 30(1):182-189. https://doi.org/10.1038/leu.2015.182PubMedGoogle Scholar
- van Meerten T, Hagenbeek A. CD20-targeted therapy: a breakthrough in the treatment of non-Hodgkin's lymphoma. Neth J Med. 2009; 67(7):251-259. Google Scholar
- Prevodnik VK, Lavrencak J, Horvat M, Novakovic BJ. The predictive significance of CD20 expression in B-cell lymphomas. Diagn Pathol. 2011; 6:33-636. https://doi.org/10.1186/1746-1596-6-33PubMedPubMed CentralGoogle Scholar
- Pavlasova G, Mraz M. The regulation and function of CD20: an "enigma" of B-cell biology and targeted therapy. Haematologica. 2020; 105(6):1494-1506. https://doi.org/10.3324/haematol.2019.243543PubMedPubMed CentralGoogle Scholar
- D'Agaro T, Bittolo T, Bravin V. NOTCH1 mutational status in chronic lymphocytic leukaemia: clinical relevance of subclonal mutations and mutation types. Br J Haematol. 2018; 182(4):597-602. https://doi.org/10.1111/bjh.14843PubMedGoogle Scholar
- Dal Bo M, Del Principe MI, Pozzo F. NOTCH1 mutations identify a chronic lymphocytic leukemia patient subset with worse prognosis in the setting of a rituximab- based induction and consolidation treatment. Ann Hematol. 2014; 93(10):1765-1774. https://doi.org/10.1007/s00277-014-2117-xPubMedGoogle Scholar
- Stilgenbauer S, Schnaiter A, Paschka P. Gene mutations and treatment outcome in chronic lymphocytic leukemia: results from the CLL8 trial. Blood. 2014; 123(21):3247-3254. https://doi.org/10.1182/blood-2014-01-546150PubMedGoogle Scholar
- Tausch E, Beck P, Schlenk RF. Prognostic and predictive role of gene mutations in chronic lymphocytic leukemia: results from the pivotal phase III study COMPLEMENT1. Haematologica. 2020; 105(10):2440-2447. https://doi.org/10.3324/haematol.2019.229161PubMedPubMed CentralGoogle Scholar
- Bittolo T, Pozzo F, Bomben R. Mutations in the 3' untranslated region of NOTCH1 are associated with low CD20 expression levels chronic lymphocytic leukemia. Haematologica. 2017; 102(8):e305-e309. https://doi.org/10.3324/haematol.2016.162594PubMedPubMed CentralGoogle Scholar
- Rosati E, Sabatini R, Rampino G. Constitutively activated Notch signaling is involved in survival and apoptosis resistance of B-CLL cells. Blood. 2009; 113(4):856-865. https://doi.org/10.1182/blood-2008-02-139725PubMedGoogle Scholar
- Fabbri G, Holmes AB, Viganotti M. Common nonmutational NOTCH1 activation in chronic lymphocytic leukemia. Proc Natl Acad Sci U S A. 2017; 114(14)https://doi.org/10.1073/pnas.1702564114PubMedPubMed CentralGoogle Scholar
- Rossi D, Bruscaggin A, Spina V. Mutations of the SF3B1 splicing factor in chronic lymphocytic leukemia: association with progression and fludarabine-refractoriness. Blood. 2011; 118(26):6904-6908. https://doi.org/10.1182/blood-2011-08-373159PubMedPubMed CentralGoogle Scholar
- Puente XS, Pinyol M, Quesada V. Whole-genome sequencing identifies recurrent mutations in chronic lymphocytic leukaemia 50. Nature. 2011; 475(7354):101-105. https://doi.org/10.1038/nature10113PubMedPubMed CentralGoogle Scholar
- Nadeu F, Clot G, Delgado J. Clinical impact of the subclonal architecture and mutational complexity in chronic lymphocytic leukemia. Leukemia. 2017; 32(3):645-653. https://doi.org/10.1038/leu.2017.291PubMedPubMed CentralGoogle Scholar
- Quesada V, Conde L, Villamor N. Exome sequencing identifies recurrent mutations of the splicing factor SF3B1 gene in chronic lymphocytic leukemia. Nat Genet. 2011; 44(1):47-52. https://doi.org/10.1038/ng.1032PubMedGoogle Scholar
- Kesarwani AK, Ramirez O, Gupta AK. Cancer-associated SF3B1 mutants recognize otherwise inaccessible cryptic 3' splice sites within RNA secondary structures. Oncogene. 2017; 36(8):1123-1133. https://doi.org/10.1038/onc.2016.279PubMedPubMed CentralGoogle Scholar
- Alsafadi S, Houy A, Battistella A, Popova T, Wassef M, Henry E. Cancer-associated SF3B1 mutations affect alternative splicing by promoting alternative branchpoint usage. Nat Commun. 2016; 7:10615. https://doi.org/10.1038/ncomms10615PubMedPubMed CentralGoogle Scholar
- Cretu C, Schmitzova J, Ponce-Salvatierra A. Molecular architecture of SF3b and structural consequences of its cancer-related mutations. Mol Cell. 2016; 64(2):307-319. https://doi.org/10.1016/j.molcel.2016.08.036PubMedGoogle Scholar
- Wang L, Brooks AN, Fan J. Transcriptomic characterization of SF3B1 mutation reveals its pleiotropic effects in chronic lymphocytic leukemia. Cancer Cell. 2016; 30(5):750-763. https://doi.org/10.1016/j.ccell.2016.10.005PubMedPubMed CentralGoogle Scholar
- Te Raa GD, Derks IA, Navrkalova V. The impact of SF3B1 mutations in CLL on the DNA-damage response. Leukemia. 2015; 29(5):1133-1142. https://doi.org/10.1038/leu.2014.318PubMedGoogle Scholar
- Matutes E, Owusu-Ankomah K, Morilla R. The immunological profile of B-cell disorders and proposal of a scoring system for the diagnosis of CLL. Leukemia. 1994; 8(10):1640-1645. Google Scholar
- Dal Bo M, Bulian P, Bomben R. CD49d prevails over the novel recurrent mutations as independent prognosticator of overall survival in chronic lymphocytic leukemia. Leukemia. 2016; 30(10):2011-2018. https://doi.org/10.1038/leu.2016.88PubMedGoogle Scholar
- Bulian P, Shanafelt TD, Fegan C. CD49d is the strongest flow cytometry-based predictor of overall survival in chronic lymphocytic leukemia. J Clin Oncol. 2014; 32(9):897-904. https://doi.org/10.1200/JCO.2013.50.8515PubMedPubMed CentralGoogle Scholar
- Bickel DR. Robust estimators of the mode and skewness of continuous data. Comput Stat Data Anal. 2002; 39(2):153-163. https://doi.org/10.1016/S0167-9473(01)00057-3Google Scholar
- Pozzo F, Bittolo T, Vendramini E. NOTCH1-mutated chronic lymphocytic leukemia cells are characterized by a MYCrelated overexpression of nucleophosmin 1 and ribosome-associated components. Leukemia. 2017; 31(11):2407-2415. https://doi.org/10.1038/leu.2017.90PubMedGoogle Scholar
- Wang L, Lawrence MS, Wan Y. SF3B1 and other novel cancer genes in chronic lymphocytic leukemia. N Engl J Med. 2011; 365(26):2497-2506. https://doi.org/10.1056/NEJMoa1109016PubMedPubMed CentralGoogle Scholar
- Hernandez JA, Hernandez-Sanchez M, Rodriguez-Vicente AE. A low fre quency of losses in 11q chromosome is associated with better outcome and lower rate of genomic mutations in patients with chronic lymphocytic leukemia. PLoS One. 2015; 10(11):e0143073. https://doi.org/10.1371/journal.pone.0143073PubMedPubMed CentralGoogle Scholar
- Oscier DG, Rose-Zerilli MJ, Winkelmann N. The clinical significance of NOTCH1 and SF3B1 mutations in the UK LRF CLL4 trial. Blood. 2013; 121(3):468-475. https://doi.org/10.1182/blood-2012-05-429282PubMedGoogle Scholar
- Tam CS, Otero-Palacios J, Abruzzo LV. Chronic lymphocytic leukaemia CD20 expression is dependent on the genetic subtype: a study of quantitative flow cytometry and fluorescent in-situ hybridization in 510 patients. Br J Haematol. 2008; 141(1):36-40. https://doi.org/10.1111/j.1365-2141.2008.07012.xPubMedGoogle Scholar
- Almasri NM, Duque RE, Iturraspe J, Everett E, Braylan RC. Reduced expression of CD20 antigen as a characteristic marker for chronic lymphocytic leukemia. Am J Hematol. 1992; 40(4):259-263. https://doi.org/10.1002/ajh.2830400404PubMedGoogle Scholar
- Marti GE, Faguet G, Bertin P. CD20 and CD5 expression in B-chronic lymphocytic leukemia. Ann N Y Acad Sci. 1992; 651:480-483. https://doi.org/10.1111/j.1749-6632.1992.tb24651.xPubMedGoogle Scholar
- Lu D, Zhao Y, Tawatao R. Activation of the Wnt signaling pathway in chronic lymphocytic leukemia. Proc Natl Acad Sci U S A. 2004; 101(9):3118-3123. https://doi.org/10.1073/pnas.0308648100PubMedPubMed CentralGoogle Scholar
- Axelrod JD, Matsuno K, Artavanis-Tsakonas S, Perrimon N. Interaction between Wingless and Notch signaling pathways mediated by dishevelled. Science. 1996; 271(5257):1826-1832. https://doi.org/10.1126/science.271.5257.1826PubMedGoogle Scholar
- Munoz-Descalzo S, Sanders PG, Montagne C, Johnson RI, Balayo T, Arias AM. Wingless modulates the ligand independent traffic of Notch through Dishevelled. Fly (Austin). 2010; 4(3):182-193. https://doi.org/10.4161/fly.4.3.11998PubMedGoogle Scholar
- Collu GM, Hidalgo-Sastre A, Acar A. Dishevelled limits Notch signalling through inhibition of CSL. Development. 2012; 139(23):4405-4415. https://doi.org/10.1242/dev.081885PubMedPubMed CentralGoogle Scholar
- Hayward P, Kalmar T, Arias AM. Wnt/Notch signalling and information processing during development. Development. 2008; 135(3):411-424. https://doi.org/10.1242/dev.000505PubMedGoogle Scholar
- Hallek M. On the architecture of translational research designed to control chronic lymphocytic leukemia. Hematology Am Soc Hematol Educ Program. 2018; 1:1-8. https://doi.org/10.1182/asheducation-2018.1.1PubMedPubMed CentralGoogle Scholar
- Delgado J, Matutes E, Morilla AM. Diagnostic significance of CD20 and FMC7 expression in B-cell disorders. Am J Clin Pathol. 2003; 120(5):754-759. https://doi.org/10.1309/FNGCYEMJE3MAE5L2Google Scholar
- Pavlasova G, Borsky M, Seda V. Ibrutinib inhibits CD20 upregulation on CLL B cells mediated by the CXCR4/SDF-1 axis. Blood. 2016; 128(12):1609-1613. https://doi.org/10.1182/blood-2016-04-709519PubMedPubMed CentralGoogle Scholar
- Tomita A. Genetic and epigenetic modulation of CD20 expression in B-cell malignancies: molecular mechanisms and significance to rituximab resistance. J Clin Exp Hematop. 2016; 56(2):89-99. https://doi.org/10.3960/jslrt.56.89PubMedPubMed CentralGoogle Scholar
- Castel D, Mourikis P, Bartels SJ, Brinkman AB, Tajbakhsh S, Stunnenberg HG. Dynamic binding of RBPJ is determined by Notch signaling status. Genes Dev. 2013; 27(9):1059-1071. https://doi.org/10.1101/gad.211912.112PubMedPubMed CentralGoogle Scholar
- Landau DA, Carter SL, Stojanov P. Evolution and impact of subclonal mutations in chronic lymphocytic leukemia. Cell. 2013; 152(4):714-726. https://doi.org/10.1016/j.cell.2013.01.019PubMedPubMed CentralGoogle Scholar
- Arruga F, Vaisitti T, Deaglio S. The NOTCH pathway and its mutations in mature B cell malignancies. Front Oncol. 2018; 8:550. https://doi.org/10.3389/fonc.2018.00550PubMedPubMed CentralGoogle Scholar
- Wang H, Zou J, Zhao B. Genomewide analysis reveals conserved and divergent features of Notch1/RBPJ binding in human and murine T-lymphoblastic leukemia cells. Proc Natl Acad Sci U S A. 2011; 108(36):14908-14913. https://doi.org/10.1073/pnas.1109023108PubMedPubMed CentralGoogle Scholar
- Thompson PA, Tam CS, O'Brien SM. Fludarabine, cyclophosphamide, and rituximab treatment achieves long-term diseasefree survival in IGHV-mutated chronic lymphocytic leukemia. Blood. 2016; 127(3):303-309. https://doi.org/10.1182/blood-2015-09-667675PubMedPubMed CentralGoogle Scholar
- Rossi D, Terzi-di-Bergamo L, De Paoli L. Molecular prediction of durable remission after first-line fludarabine-cyclophosphamide- rituximab in chronic lymphocytic leukemia. Blood. 2015; 126(16):1921-1924. https://doi.org/10.1182/blood-2015-05-647925PubMedPubMed CentralGoogle Scholar
- Burger JA, Sivina M, Jain N. Randomized trial of ibrutinib vs ibrutinib plus rituximab in patients with chronic lymphocytic leukemia. Blood. 2019; 133(10):1011-1019. https://doi.org/10.1182/blood-2018-10-879429PubMedPubMed CentralGoogle Scholar
- Ten Hacken E, Valentin R, Regis FFD. Splicing modulation sensitizes chronic lymphocytic leukemia cells to venetoclax by remodeling mitochondrial apoptotic dependencies. JCI Insight. 2018; 3(19):e121438. https://doi.org/10.1172/jci.insight.121438PubMedPubMed CentralGoogle Scholar
- Goede V, Fischer K, Busch R. Obinutuzumab plus chlorambucil in patients with CLL and coexisting conditions. N Engl J Med. 2014; 370(12):1101-1110. https://doi.org/10.1056/NEJMoa1313984PubMedGoogle Scholar
- Tausch E, Schneider C, Robrecht S. Prognostic and predictive impact of genetic markers in patients with CLL treated with obinutuzumab and venetoclax. Blood. 2020; 135(26):2402-2412. https://doi.org/10.1182/blood.2019004492PubMedGoogle Scholar
Data Supplements
Figures & Tables
Article Information
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.