Literature DB >> 30876435

Pathogenesis and biomarkers of natural killer T cell lymphoma (NKTL).

Nagavalli Somasundaram1, Jing Quan Lim2, Choon Kiat Ong3,2,4, Soon Thye Lim5,6,7.   

Abstract

Natural killer T cell lymphoma (NKTL) is an aggressive disease with very poor treatment outcomes in the advanced stages. With chemotherapy, initial response rates to treatment are high but responses are short lived. A better understanding of the complex molecular pathogenesis of this disease is essential in order to design and develop better therapeutics with improved efficacy. This review aims to summarise the key pathogenic mechanisms in NKTL which may have significant prognostic and therapeutic implications.

Entities:  

Keywords:  EBV; JAK/STAT; NK/T cell lymphoma; PD1; PDL1; Pathogenesis

Year:  2019        PMID: 30876435      PMCID: PMC6420729          DOI: 10.1186/s13045-019-0717-6

Source DB:  PubMed          Journal:  J Hematol Oncol        ISSN: 1756-8722            Impact factor:   17.388


NK T cell lymphoma (NKTL), or extranodal NK T cell lymphoma, nasal type as classified by the World Health Organisation (WHO), is a non-Hodgkin lymphoma that has a predilection for the upper aerodigestive tract and can involve other non-nasal sites such as the gastrointestinal tract, skin, soft tissue and testis [1]. This is an aggressive disease with an Asian and Latin American preponderance [2-4]. This disease is characterised immunophenotypically by positivity for CD2, CD56, cytoplasmic CD3ε and cytotoxic molecules such as granzyme B and  TIA1. Demonstration of EBV-encoded RNA (EBER) is a prerequisite for the histological diagnosis of NKTLs. Early stages of the disease are treated with radiotherapy or a combination of chemoradiation with good clinical outcomes. However, in advanced stages, this disease is invariably fatal despite the initial good responses with multi-agent chemotherapy regimens. Natural killer (NK) cells derive from the lymphoid lineage, together with B and T cells. While NK cells have traditionally been classified as a component of the innate immune system, they have been shown to have characteristics of adaptive immunity such as antigen specificity, immunologic memory and ability to undergo clonal expansion when exposed to a pathogen. NK cells, similar to its T cell counterpart, arise from a common lymphocyte precursor in the bone marrow. Mature NK cells can be found in multiple organs such as the spleen, liver, lung and blood [5, 6]. In recent years, the availability of genome sequencing technologies has changed the diagnostic and therapeutic paradigm in many diseases. NKTL is no exception—the understanding of molecular pathogenesis of NKTL has moved leaps and bounds [7]. Figure 1 provides an overview of our current understanding of the key biologic mechanisms that drive this disease. A discussion of the various pathogenic mechanisms will be presented in this review.
Fig. 1

Summary of the pathways involved in the pathogenesis of NKTL. This figure summarises the key pathways that are involved in the pathogenesis of NKTL, namely, mechanisms of immune evasion, JAK/STAT pathway alterations, CD38 expression and epigenetic dysregulation

Summary of the pathways involved in the pathogenesis of NKTL. This figure summarises the key pathways that are involved in the pathogenesis of NKTL, namely, mechanisms of immune evasion, JAK/STAT pathway alterations, CD38 expression and epigenetic dysregulation

EBV infection

Epstein-Barr virus (EBV) infection plays a crucial role in the pathogenesis of NKTL, though the actual mechanism remains to be understood. The identification of EBV genomes in sequencing data or the immunohistochemical stains of EBV non-coding RNA (EBER) in NKTL samples provided initial hints of the oncogenic role of EBV in this disease. A causative relationship between EBV and NKTL was established based on the presence of clonal and episomal forms of EBV in tumour cells, in addition to EBV-encoded proteins [8, 9]. In NKTL, EBV-host integration sites were found in various repeat families of the human genome, such as SINE, LINE and satellite [10]. Notably, a 109 bp long EBV genomic fragment was found to integrate into the intron of the human non-homologous end-joining factor 1 (NHEJ1) gene, which led to the downregulation of the gene transcripts [10]. NHEJ1 is a DNA repair factor essential for the NHEJ pathway, which preferentially mediates repair of double stranded breaks (DSBs). Failure to repair DSBs would result in genome-wide instability that could lead to the onset of NKTL. Infection by EBV induces expression of genes encoding nuclear antigens, membrane proteins and non-coding RNAs in B cells, all of which induce cell proliferation and transformation into lymphoblastoid cell lines. However, in order to escape from T cell mediated immune responses, the infected B cells enter into a latent state. The pattern of gene expression in the various latent phases has been associated with the different EBV-related malignancies. Latency phase II, with expression of EBNA1, LMP1, LMP2A and LMP2B, has been the most implicated in NKTL, in addition to nasopharyngeal carcinoma and Hodgkin lymphoma. The expression of these genes plays an important role in these tumours by modulating cell signalling and forming barriers to apoptotic signals. However, among the Latency II tumours, different mechanisms drive the various gene expressions, contributing to the unique characteristics of each of these malignancies [11]. A novel transcript LMP2 TR was identified at high levels in NKTL, resulting in a high level of expression of LMP2B in the absence of LMP2A. With this, LMP2B has been postulated to play an important role in the pathogenesis of NKTL and may serve as a potential therapeutic target [12]. Consistently, we observed that most of the latent genes were expressed in NKTL, including those of EBNA family, LMP family and BARTs. The BART RNAs are a heterogeneously spliced group of EBV RNAs transcribed rightward from position 138352 to 160531 on the EBV wild-type genetic map [13-15]. Comparatively, this region is highly transcribed and it consists of about 20 microRNA and the putative proteins RPMS1 and A73 [10]. This highly transcribed region of the EBV genome most probably has an important regulatory role on itself and the host genome, in driving the disease and immune evasion, which warrant further investigation.

Genetic associations in NKTL

The genetic factors that predispose individuals to NKTL were not known until recently. Our genome-wide association study (GWAS) in NKTL identified a common SNP (rs9277378) in the HLA-DPB1 allele which conferred a 2.3 times higher risk of NKTL compared to baseline [16]. The four amino acids within HLA-DPB1, namely Gly84-Gly 85-Pro86-Met87, play a crucial role in CD4 T lymphocytes for antigen presentation, hence contributing to its hereditary susceptibility to NKTL. This study also demonstrated that the HLA locus associated with NKTL is distinct from other EBV-driven malignancies such as nasopharyngeal carcinoma and Hodgkin lymphoma. Besides distinct differences in host genetic susceptibility, we have recently demonstrated that different EBV strains predominate among these diseases [10]. These findings imply that these diseases are driven by distinct biological mechanisms. However, the potential implications of different EBV strains with the host genome for these diseases are still unclear and require further investigation. Familial NKTL is a rare phenomenon. At the time of this writing, only two sets of familial NKTL cases have been reported. The earlier report was on a father-son pair with known heavy exposure to pesticides, and no specific genetic element was evident in their tumours [17]. In the later report, a novel recessive and homozygous germline mutation in FAM160A1 was found in the tumours of two male siblings from a non-consanguineous Chinese family [18]. In this recent case report, FAM160A1 was also found to be overexpressed in these patientstumours harbouring the mutant FAM160A1 when compared to sporadic NKTL tumours. Interestingly, FAM160A1 was found to be expressed predominantly in the CD68-positive histiocytes rather than the lymphomatous cells, which suggests that the mutant FAM160A1 might play a role in the pathogenesis of this disease by altering the microenviromnent of the tumour.

JAK/STAT pathways

The Janus kinase/signal transducers and activators of transcription (JAK/STAT) pathway is crucial to haematopoiesis and immune development, in addition to other essential functions. Using targeted sequencing of 188 genes associated with the JAK/STAT pathway approach, we have recently demonstrated that alteration of this pathway is highly prevalent (73%) in peripheral T-cell lymphoma (PTCL) and NKTL [19]. In this study series, STAT3 was identified to be the most frequently mutated gene followed by TP53, JAK3, JAK1 and SOCS1 of the JAK/STAT cascade, suggesting that targeting this pathway might benefit a large portion of NKTL patients. The prevalence of STAT3 mutations in NKTL was reported to range from 8 to 27% in various studies [19-23]. In addition to the frequent STAT3 activating mutations, JAK3 activating mutations were also identified in NKTL, in 34% of cases [24]. An additional study reported novel JAK3 mutations, residing in the pseudokinase domains of JAK3 [25]. The frequency of JAK3 mutations varies across different populations, ranging from 0 to 35% [26, 27]. Functional overexpression of JAK3 resulted in the phosphorylation of downstream effector proteins, STAT3 and STAT5. Importantly, preclinical study with Tofacitinib, a pan-JAK inhibitor, could effectively reduce tumour growth and metastatic spread of NKTL [26] indicating that JAK3 is a promising therapeutic target for NKTL. A novel JAK3-specific inhibitor (PRN371) was further developed, to supersede tofacitinib in terms of specificity and durability in inhibiting JAK3 in NKTL [28]. However, the single-agent regime with PRN371 did not confer complete response in mice. While this observation could partially be attributed to suboptimal dosing or delivery of the drug to the target tumour site, this could also reflect the complexity of the JAK/STAT signalling pathway that has yet to be understood fully and hence may warrant combination therapeutic approaches for improved efficacy. Activating STAT3 mutations was also demonstrated to confer resistance to PRN371 by rescuing the inhibition STAT3/5 phosphorylation in NKTL [28] suggesting that the activation of STAT3 could be a biomarker of resistance to JAK3-inhibition therapy. In activated B cell subtype of diffuse large B cell lymphomas (DLBCL-ABC), in vivo inhibition of STAT3 was found to be a more effective strategy in suppressing tumour growth than targeting upstream JAK inhibition [29]. Hong et al. demonstrated that AZD9150, an antisense oligonucleotide (ASO) inhibitor of STAT3, achieved an almost complete inhibition of STAT3 in lymphoma and lung patient-derived explant models [30]. This provided the proof-of-concept that STAT3, a notoriously difficult protein to inhibit therapeutically, can now be better positioned for better treatment outcome. Another interesting role of STAT3 in NKTL is its relationship with immune surveillance and evasion. We demonstrated that activated STAT3 could upregulate PD-L1 by binding directing to the proximal promoter of PD-L1 [19] Inversely, blocking STAT3 with ASO or Statiic downregulated PD-L1 expression effectively. It was further shown that NKTL tumours with high expression of phosphorylated STAT3 correlated significantly with PD-L1 levels highlighting its clinical importance in immune checkpoint inhibition. STAT3 contributes to tumour immune evasion through the accumulation and activation of tolerogenic dendritic and Treg cells, as well as the upregulation of immune checkpoint proteins such as CTLA-4, programmed cell death protein 1 (PD-1), and programmed death ligand 1 (PD-L1) [31]. PD-L1 expression in NK/T cell lymphoma has been reported to be 56–93% in various studies and this has stirred excitement in the use of PD-1/PD-L1 inhibitors in NKTL [19, 32–34]. These studies suggest that inhibiting STAT3 could effectively challenge the survivability of NKTL by simultaneously disrupting its immune evasion pathway. A combination strategy, using PD1/PDL1 antibodies and STAT3 inhibitors, may be yet another therapeutic strategy that can be explored.

PD-L1 structural variations

Anti-PD1 therapy has shown promising activity in relapsed/refractory (R/R) NKTL [35]. This was echoed in another study that demonstrated 57% response rates in R/R NKTL with pembrolizumab (PD1 blockade) [36]. In an attempt to understand the mechanism of response or resistance, we performed whole genome sequencing on the tumour of 11 NKTL patients treated with pembrolizumab [37]. Our data revealed that PD-L1 structural variations (SV) in the 3′UTR region of the PD-L1 gene were seen exclusively in 4 out of 7 patients who achieved complete response (CR) to pembrolizumab (PD-1 antibody) and not seen in any of the non-responders. Structural variation in 3′UTR region of the PD-L1 gene was also demonstrated in a patient with chemorefractory ovarian cancer who had CR to pembrolizumab [38]. While these findings need to be validated in a larger dataset, this illustrates a molecular mechanism that would explain the efficacious activity of anti-PD-1 therapy in NKTL patients. In the same study, we have also identified recurrent JAK3-activating mutations in two of the seven patients who had achieved CR to pembrolizumab [37]. JAK3 mutations were also seen in one patient who had prolonged benefit from anti-PD-L1 therapy in refractory lung adenocarcinoma [39]. JAK3 activation deregulated the cytokine receptor signal transduction in lung cell lines, led to the upregulation of PD-L1, and provided the explanation to the durable response seen in this patient with anti-PD-L1 blockade therapy. Taken together, JAK3-activating mutation and PD-L1 3′UTR SV are potential biomarkers which could better select NKTL patient for immune checkpoint blockade therapy.

Epigenetic dysregulation

EZH2

Enhancer of zeste homologue 2 (EZH2) is a H3K27-specific histone methyltransferase and a catalytic subunit of the polycomb repressive complex 2 (PRC2) molecule. EZH2 is aberrantly expressed in NKTL, at both the protein and mRNA levels, as opposed to normal NK cells. [40, 41]. MYC activation has been shown to play a significant role in EZH2 overexpression by suppression of its negative regulatory microRNAs [41, 42].and its canonical oncogenic function is to transcriptionally silence the expression of tumour suppressor genes with its histone methyltransferase. One such example is the suppression of tumour suppressor gene TNFAIP3/A20 mediated by EZH2 histone methyltransferase, thereby activating NFkB pathway and resulting in resistance to apoptosis in NKTL cell lines [43]. In NKTLs, EZH2 has also been shown to an additional PRC2 complex non-canonical function—a transcriptional coactivator attributed from genome-wide decreased H3K27me3 levels. The phosphorylation of EZH2 by JAK3 results in the dissociation of the PRC2 complex, lifting H3K27me3 epigenetic markers off the genome, hence giving EZH2 its non-canonical role of being a transcriptional coactivator in NKTL [44]. Targeting EZH2 has gained interest in recent years and some of the therapeutics have been summarised in Table 1.
Table 1

This table describes the genes implicated in the pathogenesis of NKTL and the potential therapeutic targets

GeneTherapeutic targetComments
JAK3TofacitinibFirst in class JAK 3 inhibitor. Single-agent JAK3 inhibition did not result in CR in NKTL cell lines [28]. Combination strategies may need to be explored
STAT3AZD9150—antisense oligonucleotide inhibitor [30]AZD9150 demonstrated promising activity in preclinical and clinical studies in lymphoma.Given that STAT3 activation leads to high PDL1 expression, combination of STAT3 and PD1/PDL1 inhibitors may be explored [19]
EZH2DZNEP [43]Non-specific EZH2 inhibitor that had significant toxicities in animal models
Tazemetostat [50]Phase 2 study shows promising activity in follicular lymphoma, especially in EZH2 mutated patients
SHR2554Selective small molecule inhibitor of the EZH2 histone-lysine methyltransferase ongoing phase 1 study in refractory lymphomas (NCT03603951)
EPZ005687 [51]Reduces H3K27 methylation in various lymphoma cell lines
GSK126 [52]Competitive small molecule inhibitor of S-adenosylmethionine. Has been tested in Diffuse large B cell lymphoma (DLBCL) and myeloma cell lines [52] and DLBCL xenograft models [53]
PD 1 inhibitionPembrolizumab [35, 36]PD 1 inhibitors have demonstrated promising activity in relapsed/refractory NKTL. Potential biomarkers that may allow better selection of patients for PD-1 inhibitors need to be explored
Nivolumab [54]
CD38Daratumumab [55]Interim analysis of phase 2 study demonstrated 35.7% response in NKTL. CD38 status did not correlate with responses
This table describes the genes implicated in the pathogenesis of NKTL and the potential therapeutic targets

BCOR and MLL

BCOR, also known as BCL6 co-repressor, is another epigenetic modifier and it forms a component of the PRC1 complex [45]. The prevalence of BCOR mutations in various studies has been shown to be from 12 to 32% in NKTL [22, 23]. These mutations result in loss of BCOR function. EBV-positive tumours, including solid tumours, have been noted to harbour BCOR mutations suggesting that BCOR mutations may be an important aspect of EBV-related pathogenesis. MLL2 is an epigenetic regulator which plays a crucial role in cell development and metabolism [46]. Its function as a tumour suppressor has been described as well [47]. Varying frequency of MLL2 mutations has been reported, ranging from 6.7 to 80%. However, the functional implications of this mutation in NKTL remain to be understood.

Other contributing factors to NKTL pathogenesis

DDX3X

Alterations in DDX3X gene are another mechanism contributing to the pathogenesis of NKTL. DDX3X is a gene located on the X chromosome, and alterations in this gene result in disruption of its RNA-unwinding function and suppression of cell proliferation through interactions between NFkB and MAPK pathways. DDX3X alterations were found at a frequency of 12% and 20% of NKTL cases from Japan and China, respectively, and have been associated with advanced stage disease and poor outcomes [21].

CD38

CD38 is a transmembrane glycoprotein which is strongly expressed in NKTL. Wang et al. demonstrated that CD38 is expressed in majority of NKTL with strong expression being seen in almost 50% of the NKTL population. Strong CD38 expression was associated with poor treatment outcomes [48]. Daratumumab is a novel anti CD38 human monoclonal antibody that has shown to have promising activity in preclinical models. Complete remission was reported in one heavily pretreated patient with advanced NKTL, resulting in further ongoing trials to assess efficacy of this strategy in this disease [49].

Conclusions

The recent data on the various driving mechanisms behind NKTL attempt to unravel the complex pathogenesis driving this disease, which at present has poor treatment outcomes. A summary of current therapeutic targets is presented in Table 1. With a better understanding of the underlying pathogenic mechanisms, biologically sound therapeutic strategies can be employed to potentially overcome this disease.
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3.  CD38 expression predicts poor prognosis and might be a potential therapy target in extranodal NK/T cell lymphoma, nasal type.

Authors:  Liang Wang; Hua Wang; Peng-fei Li; Yue Lu; Zhong-jun Xia; Hui-qiang Huang; Yu-jing Zhang
Journal:  Ann Hematol       Date:  2015-04-14       Impact factor: 3.673

4.  Exceptional Response to Pembrolizumab in a Metastatic, Chemotherapy/Radiation-Resistant Ovarian Cancer Patient Harboring a PD-L1-Genetic Rearrangement.

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Journal:  Clin Cancer Res       Date:  2018-01-19       Impact factor: 12.531

5.  Expression of programmed cell death 1 and programmed cell death ligand 1 in extranodal NK/T-cell lymphoma, nasal type.

Authors:  Jae-Cheol Jo; Misung Kim; Yunsuk Choi; Hyun-Jung Kim; Ji Eun Kim; Seoung Wan Chae; Hawk Kim; Hee Jeong Cha
Journal:  Ann Hematol       Date:  2016-10-03       Impact factor: 3.673

6.  EZH2 overexpression in natural killer/T-cell lymphoma confers growth advantage independently of histone methyltransferase activity.

Authors:  Junli Yan; Siok-Bian Ng; Jim Liang-Seah Tay; Baohong Lin; Tze Loong Koh; Joy Tan; Viknesvaran Selvarajan; Shaw-Cheng Liu; Chonglei Bi; Shi Wang; Shoa-Nian Choo; Norio Shimizu; Gaofeng Huang; Qiang Yu; Wee-Joo Chng
Journal:  Blood       Date:  2013-03-25       Impact factor: 22.113

7.  MYC stimulates EZH2 expression by repression of its negative regulator miR-26a.

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8.  AZD9150, a next-generation antisense oligonucleotide inhibitor of STAT3 with early evidence of clinical activity in lymphoma and lung cancer.

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Journal:  Sci Transl Med       Date:  2015-11-18       Impact factor: 17.956

9.  Blocking EZH2 methylation transferase activity by GSK126 decreases stem cell-like myeloma cells.

Authors:  Delong Zeng; Maoxing Liu; Jingxuan Pan
Journal:  Oncotarget       Date:  2017-01-10

10.  Whole exome sequencing identifies recessive germline mutations in FAM160A1 in familial NK/T cell lymphoma.

Authors:  Jason Yongsheng Chan; Alvin Yu Jin Ng; Chee Leong Cheng; Maarja-Liisa Nairismägi; Byrappa Venkatesh; Daryl Ming Zhe Cheah; Shao-Tzu Li; Sock Hoai Chan; Joanne Ngeow; Yurike Laurensia; Jing Quan Lim; Jane Wan Lu Pang; Sanjanaa Nagarajan; Tammy Song; Burton Chia; Jing Tan; Dachuan Huang; Yeow Tee Goh; Eileen Poon; Nagavalli Somasundaram; Miriam Tao; Richard Hong Hui Quek; Mohamad Farid; Chiea Chuen Khor; Jin-Xin Bei; Soo Yong Tan; Soon Thye Lim; Choon Kiat Ong; Tiffany Tang
Journal:  Blood Cancer J       Date:  2018-11-12       Impact factor: 11.037

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1.  Plasma circulating tumor DNA assessment reveals KMT2D as a potential poor prognostic factor in extranodal NK/T-cell lymphoma.

Authors:  Qiong Li; Wei Zhang; Jiali Li; Jingkang Xiong; Jia Liu; Ting Chen; Qin Wen; Yunjing Zeng; Li Gao; Lei Gao; Cheng Zhang; Peiyan Kong; Xiangui Peng; Yao Liu; Xi Zhang; Jun Rao
Journal:  Biomark Res       Date:  2020-07-17

2.  sATP‑binding cassette subfamily G member 2 enhances the multidrug resistance properties of human nasal natural killer/T cell lymphoma side population cells.

Authors:  Shaoxuan Wu; Xudong Zhang; Meng Dong; Zhenzhen Yang; Mingzhi Zhang; Qingjiang Chen
Journal:  Oncol Rep       Date:  2020-08-10       Impact factor: 3.906

3.  Autologous EBV-specific T cell treatment results in sustained responses in patients with advanced extranodal NK/T lymphoma: results of a multicenter study.

Authors:  Won Seog Kim; Yasuhiro Oki; Seok Jin Kim; Sang Eun Yoon; Kirit M Ardeshna; Yi Lin; Jia Ruan; Pierluigi Porcu; Jonathan E Brammer; Eric D Jacobsen; Dok Hyun Yoon; Cheolwon Suh; Felipe Suarez; John Radford; Lihua E Budde; Jin Seok Kim; Emmanuel Bachy; Hun Ju Lee; Catherine M Bollard; Arnaud Jaccard; Hye Jin Kang; Shannon Inman; Maryann Murray; Katherin E Combs; Daniel Y Lee; Ranjana Advani; Kurt C Gunter; Cliona M Rooney; Helen E Heslop
Journal:  Ann Hematol       Date:  2021-07-24       Impact factor: 3.673

4.  [How I diagnose and treat NK/T cell lymphoma].

Authors:  W L Zhao; M C Cai; H J Zhong
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2020-06-14

5.  The identification of gene signatures in patients with extranodal NK/T-cell lymphoma from a pair of twins.

Authors:  Yang Wang; Huaicheng Tan; Ting Yu; Xuelei Ma; Xiaoxuan Chen; Fangqi Jing; Liqun Zou; Huashan Shi
Journal:  BMC Cancer       Date:  2021-12-06       Impact factor: 4.430

6.  Comprehensive analysis of peripheral T-cell and natural killer/T-cell lymphoma in Asian patients: A multinational, multicenter, prospective registry study in Asia.

Authors:  Sang Eun Yoon; Yuqin Song; Seok Jin Kim; Dok Hyun Yoon; Tsai-Yun Chen; Youngil Koh; Ka Won Kang; Ho Sup Lee; Kevin Kuang Wei Tay; Soon Thye Lim; Michele Poon; Cosphiadi Irawan; Weili Zhao; Young Rok Do; Mark Hong Lee; Soo Chin Ng; Won-Sik Lee; Ye Guo; Huilai Zhang; Hye Jin Kang; Hwan Jung Yun; Hyo Jung Kim; Daryl Tan Chen Lung; Jae-Yong Kwak; Jae Joon Han; Yeung-Chul Mun; Sung Yong Oh; Hyeok Shim; Jung Hye Kwon; Byeong Seok Sohn; Seong Kyu Park; Jae-Cheol Jo; Young Hyeh Ko; Zhu Jun; Won Seog Kim
Journal:  Lancet Reg Health West Pac       Date:  2021-03-22
  6 in total

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