Acute lymphoblastic leukemia

JAK2 p.G571S in B-cell precursor acute lymphoblastic leukemia: a synergizing germline susceptibility

To the Editor:

Germline predispositions are involved in the development of 5% of childhood leukemias [1], although their contribution is believed to be higher. However, to reveal the full spectrum of pathogenic germline variants, individualized genomic patient analyses, in the context of the respective familial background (trio-calling), are needed.

Here, we present the finding of a germline predisposition to B-cell precursor acute lymphoblastic leukemia (BCP-ALL) that is exerted through two synergizing, separately transmitted germline variants (JAK2 p.G571S and STAT3 p.K370R). We demonstrate a modest proliferation potential of JAK2 p.G571S, which is additionally increased by STAT3 p.K370R through rewiring of intracellular signaling pathways and show that JAK2 G571S can rescue a STAT3 p.K370R-induced cell cycle arrest. Protein modeling of both variants structurally underlines the observed phenotypes. Furthermore, JAK2 p.G571S could be identified in a second patient with Down syndrome ALL, emphasizing its significance as a recurrent synergizing germline susceptibility variant.

Taken together, we describe JAK2 p.G571S as a novel germline predisposition in BCP-ALL. Moreover, our data emphasize the synergistic interplay between separately transmitted germline risk variants that can render B-cell precursors susceptible to additional somatic hits, allowing BCP-ALL development. Expanding this knowledge is a crucial step towards targeted treatments as well as precision-prevention programs.

Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer (4/100,000) under the age of 15, with the majority of cases affecting B-cell precursors (BCP-ALL) [2]. Although survival rates exceed 90%, it remains a significant cause of death in young children. Thus, to develop novel individualized therapeutic approaches, or even better, to envision precision-prevention programs—in particularly for subtypes of high-risk ALL, elucidation of the tumor genetics are fundamental [3]. In this regard, inherited germline variants are of special interest. Recently, novel germline predisposition syndromes have been described [4], and current studies increasingly highlight the importance of trio-calling analyses in childhood cancer [5, 6].

In this study, we performed trio-calling and describe a novel scenario for lymphoid malignancies, in which two susceptibility loci are inherited—a paternal one and a maternal one—and both act synergistically in the same signaling pathway, thereby forming a susceptible B-cell precursor compartment that is prone to secondary mutations driving BCP-ALL.

Utilizing whole-exome sequencing we identified two concomitant germline single-nucleotide variants (SNVs) affecting the JAK2/STAT3 pathway in a boy with BCP-ALL (Fig. S1A). The JAK2 variant, rs139504737 (c.1711G > A), leads to an aminoacid substitution from glycine to serine (p.G571S) and is rarely found within the general population (minor allele frequency (MAF) < 0.01). Interestingly, the same JAK2 p.G571S germline variant was identified in a Down syndrome (DS-ALL) patient from an independent family (Fig. 1a). The second variant found in the BCP-ALL patient, constitutes an extremely rare, and so far for leukemia undescribed, missense mutation in the STAT3 gene (c.1109 A > G), causing an exchange of lysine to arginine (p.K370R). While JAK2 p.G571S was transmitted from the father, STAT3 p.K370R was inherited from the mother’s side (Fig. 1a). Both variants are located in functionally relevant domains, with STAT3 p.K370R being localized in the DNA-binding domain and JAK2 p.G571S in the pseudo-kinase domain, respectively (Fig. 1b).

Fig. 1
figure1

a Pedigree of two independent families harboring JAK2 p.G571S. The ALL patients are marked with a red triangle, while the transmission of the identified target mutations is highlighted with red symbols (JAK2 = circle; STAT3 = +; trisomy 21 = #). b Domain organization of JAK2 and STAT3 proteins. Identified mutations (red) and the known activating JAK2 mutation p.V617F (black), which was used as a control, are highlighted. c Overview of the STAT3-WT (gray) with bound DNA (orange). The blue rectangle indicates the region with the residues of interest (sticks). A close-up depicts the mutated region in STAT3-WT (gray) and the p.K370R variant (dark green). While in the STAT3-WT, p.K370 only interacts with p.E455, p.R370 of the p.K370R variant interacts with both p.E442 and p.E455 as indicated by the yellow lines. The mutation of lysine to arginine also distorts the local backbone conformation. d Homology model of the p.G571S variant in the JAK2 protein (green). P.S571 (sticks) is located in a loop between two β-strands next to p.Y570 (sticks), which is one of the most important phosphorylation sites in JAK2

Furthermore, 11 somatic mutations were identified in the BCP-ALL (Fig. S1B), with a missense mutation in the CEP89 gene (p.K138T) being the only tumor specific somatic variant. In addition, CytoScan-HD analysis revealed loss of CDKN2A and IKZF1 loci, which groups the patient into the recently described IKZF1plus subgroup that was shown to have a particularly poor outcome [7] (Fig. S1C). Moreover, a somatic JAK2 rearrangement was detected by cytogenetic analysis in the second JAK2 allele. While molecular genetic analysis could rule out a classical JAK2 fusion with ETV6, BCR, or PAX5, the actual fusion partner was not identified. The patient was enrolled into the AIEOP-BFM 2009 therapy protocol, responded poorly to therapy (prednisone-poor response at day 8, nonremission at day 33) and underwent hematopoietic stem cell transplantation from a matched unrelated donor after achieving first remission (MRD level < 10−4).

To understand potential phenotypic influences of both mutant proteins on a structural level, we generated homology models of the mutated pseudokinase domain of JAK2 and the mutated STAT3, and compared the models to their respective wild types.

STAT3 p.K370R is located in a loop adjacent to the DNA binding site (Fig. 1c). Moreover, STAT3 p.K370 is an important site for acetylation, which enables STAT3’s interaction with RELA, in turn promoting further downstream signaling [8]. In the deacetylated state, STAT3 p.K370 interacts with p.E455 in a β-sheet. Substitution of lysine to arginine at position p.370 has two implications: first, the arginine can interact with both p.E455 and p.E442 simultaneously, that way strengthening the interaction in the β-sheet. Second, in contrast to lysine, arginine cannot be acetylated. This combination leads to a constitutively non-acetylated form of STAT3 at position p.370, which was shown to have functional consequences in its interaction capacity with various signaling partners in HEK293T cells [8]. Furthermore, the STAT3 p.K370R protein did not show an activating phenotype in STAT3 reporter luciferase assays in HEK293T cells (Fig. S2A). This is in line with the structural modeling, suggesting impaired acetylation rather than phosphorylation (Fig. S2B).

JAK2 p.G571 is located in a 12-residue loop connecting 2 β-strands (Fig. 1d), adjacent to p.Y570, one of the most important phosphorylation sites in JAK2. This suggests an influence on the phosphorylation of p.Y570 either through steric hindrance, interactions of the serine sidechain or changes in the backbone conformation near p.Y570. Its unique position affecting amino acid 571, which lies adjacent to the p.Y570 residue that downregulates kinase activity via autophosphorylation hints at a potential functional mechanism of p.G571S by inhibiting p.Y570-directed negative feedback.

To assess the cooperative potential of both variants, BaF3 depletion assays were carried out. In normal BaF3 cells, neither STAT3 p.K370R nor JAK2 p.G571S protein expression alone were sufficient to induce IL-3 independent growth, although immunoblot analyses confirmed increased p-STAT3 levels in cells expressing both JAK2 p.G571S and STAT3 p.K370R (Fig. 2a). Since dimerization by a cytokine receptor facilitates the constitutive activation of JAK2 mutants, we further transfected BaF3 cells which expressed human CRLF2 and the IL7R alpha chain (leading to the formation of the heterodimeric receptor for thymic stromal lymphopoietin (TSLP) [9]) with the identified target variants. In BaF3/CRLF2-IL-7RWT cells, JAK2 p.G571S protein expression conferred IL-3 independent growth. Moreover, the combination of both mutant proteins (JAK2 p.G571S + STAT3 p.K370R) showed a mild but significant growth advantage starting 2 days after IL-3 withdrawal (Fig. 2b). Immunoblot analysis revealed high-p-AKT levels in cells expressing JAK2 p.G571S, which was changed to p-STAT3 through additional expression of STAT3 p.K370R. Since hyperactivation of p-AKT negatively affects precursor B-cell survival [10], the here observed signal rewiring indicates a synergistic effect of both variants by balancing out signaling strengths.

Fig. 2
figure2

a Top: Proliferation curve showing prolonged survival for BaF3 cells expressing either JAK2 p.G571S protein alone or both JAK2 p.G571S and STAT3 p.K370R proteins. Transfected BaF3 cells were cultured in media without IL-3 for 7 days and their proliferation measured every day using trypan blue. JAK2 p.V617F serves as positive control. Values represent the mean out of three replicates with essentially identical datasets (n = 3). Bottom: Immunoblot analysis of BaF3 cells expressing STAT3-WT, STAT3-p.K370R, JAK2-p.G571S, JAK2-p.V617F, or STAT3-p.K370R+JAK2-p.G571S. Depicted are p-STAT3 and p-STAT5 levels of the respective cells. Total STAT3, STAT5, as well as beta-ACTIN serve as loading controls (n = 2). b Top: Proliferation curve showing prolonged survival for BaF3/CRLF2-IL-7RWT cells expressing either JAK2 p.G571S alone or both JAK2 p.G571S and STAT3 p.K370R. Cells harboring both mutants show a significantly higher proliferation rate compared to cells expressing JAK2 p.G571S, starting at day 2 after IL-3 withdrawal (calculated by Student’s t test: p values are indicated). Cells were cultured as described in (a) (n = 3). Bottom: Immunoblot of BaF3/CRLF2-IL-7RWT cells harboring Empty Vector (EV), STAT3-WT, STAT3-p.K370R, JAK2-p.G571S, or STAT3-p.K370R+JAK2-p.G571S expression plasmids. Depicted are p-STAT3, p-STAT5, and p-AKT levels of the respective cells. Total STAT3, STAT5, AKT, as well as GAPDH serve as loading controls (n = 2). c Top: Cell cycle analysis showing an accumulation of >4n, as well as a reduction of cells in the G1-phase for STAT3 p.K370R expressing BaF3 cells, as compared to cells expressing STAT3-WT or STAT3 p.K370R+JAK2 p.G571S. p Values are indicated as calculated by Student’s t test (n = 3). Bottom: Immunoblot depicting the expression of the cell cycle related proteins CDC2 and Cyclin-B1/B2/A2 in BaF3 cells expressing either EV, STAT3-WT, STAT3-p.K370R, JAK2-p.G571S, or both mutant proteins. GAPDH serves as loading control

Besides the cooperating capacity of both identified germline variants, we further observed that the STAT3 p.K370R mutant protein alone changed the phenotype of the cells in culture, with an accumulation of enlarged BaF3 cells. Surprisingly, this phenotype was reversed in the double mutant cells expressing both STAT3 p.K370R and JAK2 p.G571S (Fig. S2C). Cell cycle analysis was in line with this observation, showing a significant increase in >4n cells (p = 0.0009), while those in the G-1 phase were significantly decreased (p = 0.0031) in STAT3 p.K370R expressing BaF3 cells compared to STAT3-WT cells (Fig. 2c). Again, this phenotype was reduced in BaF3 cells transfected with both mutants simultaneously (G1 phase p = 0.0026; > 4n, p = 0.0032). In line with the reversed cell cycle phenotype in the double mutant cells, immunoblot analysis of the different conditions confirmed increased p-CDC-2, p-CyclinB1/Cyclin-B1, and Cyclin-A2 in BaF3 cells expressing both JAK2 p.G571S and STAT3 p.K370R compared to STAT3 p.K370R alone (Fig. 2c). Taken together, STAT3 p.K370R conferred a cell cycle arrest in BaF3 cells which is consistent with a loss-of-function phenotype in the STAT3 reporter luciferase assay and the structural modeling.

These data suggest that the two mutations can act in concert to exert a germline susceptibility toward BCP-ALL development by the accumulation of a susceptible precursor compartment. This compartment might be prone to acquire additional secondary lesions in IKZF1 and CDKN2A or alterations of the JAK2 WT allele, which act as somatic oncogenic drivers leading to malignant growth.

Activation of the JAK-STAT pathway is known to be a key event in a variety of hematological malignancies. JAK2 p.V617F leads to constitutively active STAT5 signaling in about 80% of patients suffering from myeloproliferative neoplasms [11], and a high frequency of somatic rearrangements or SNVs activating JAK2 are found in Ph-like ALL [12] and DS-ALL [13, 14]. However, germline JAK2 mutations particularly in BCP-ALL are rare. Here, we identified a second patient harboring germline JAK2 p.G571S in a DS-ALL cohort of 88 patients (Fig. 1a and Fig. S3) [14]. A major proportion of DS-ALL shows high expression of CRLF2 and somatic JAK/STAT pathway activation [15]. Although the analyzed DS-ALL patient did not express a P2RY8-CRLF2 transcript or show a CRLF2 p.232 mutation, he may harbor an activating translocation of CRLF2 into the IGH chain locus. However, due to the lack of patient material we could not test this hypothesis. Therefore, though CRLF2 activation in association with JAK2 p.G571S and trisomy 21 seems highly likely, we cannot confirm an active CRLF2 status in this patient. Nevertheless, the germline JAK2 p.G571S mutation in combination with trisomy 21 can be a complementary scenario of two germline variants acting in synergy to render cells susceptible to additional somatic alterations that can drive ALL development. This insight further strengthens the unique and important role of weak oncogenic germline risk variants (e.g., JAK2 p.G571S) and how they can synergize with additional low-penetrance mutations/alterations to predispose to ALL development.

Thus, we suggest a scenario where STAT3 p.K370R or trisomy 21 in synergy with JAK2 p.G571S prime precursor B-cells susceptible for oncogenic transformation through the acquisition of secondary somatic hits. This can be a rational explanation why parents of affected children are healthy throughout life, whereas children who carry both germline variants develop ALL. Increasing knowledge of inherited di-/polygenic variants will be of great importance for the development of novel precision-prevention approaches in the future.

We are indebted to all members of our groups for useful discussions and for their critical reading of the manuscript. Special thanks go to Silke Furlan, Friederike Opitz and Bianca Killing. F.A. is supported by the Deutsche Forschungsgemeinschaft (DFG, AU 525/1-1). J.H. has been supported by the German Children’s Cancer Foundation (Translational Oncology Program 70112951), the German Carreras Foundation (DJCLS 02R/2016), Kinderkrebsstiftung (2016/2017) and ERA PerMed GEPARD. Support by Israel Science Foundation, ERA-NET and Science Ministry (SI). A.B. is supported by the German Consortium of Translational Cancer Research, DKTK. We are grateful to the Jülich Supercomputing Centre at the Forschungszemtrum Jülich for granting computing time on the supercomputer JURECA (NIC project ID HKF7) and to the “Zentrum für Informations-und Medientechnologie” (ZIM) at the Heinrich Heine University Düsseldorf for providing computational support to H.G. The study was performed in the framework of COST action CA16223 “LEGEND”.

References

  1. 1.

    Zhang J, Walsh MF, Wu G, Edmonson MN, Gruber TA, Easton J, et al. Germline mutations in predisposition genes in pediatric cancer. N Engl J Med. 2015;373:2336–46.

  2. 2.

    Mullighan CG. Molecular genetics of B-precursor acute lymphoblastic leukemia. J Clin Invest. 2012;122:3407–15.

  3. 3.

    Holmfeldt L, Wei L, Diaz-Flores E, Walsh M, Zhang J, Ding L, et al. The genomic landscape of hypodiploid acute lymphoblastic leukemia. Nat Genet. 2013;45:242–52.

  4. 4.

    Churchman ML, Qian M, Te Kronnie G, Zhang R, Yang W, Zhang H, et al. Germline genetic IKZF1 variation and predisposition to childhood acute lymphoblastic leukemia. Cancer Cell. 2018.

  5. 5.

    Brozou T, Taeubner J, Velleuer E, Dugas M, Wieczorek D, Borkhardt A, et al. Genetic predisposition in children with cancer—affected families’ acceptance of Trio-WES. Eur J Pediatr. 2018;177:53–60.

  6. 6.

    Kuhlen M, Borkhardt A. Trio sequencing in pediatric cancer and clinical implications. EMBO Mol Med. 2018.

  7. 7.

    Stanulla M, Dagdan E, Zaliova M, Moricke A, Palmi C, Cazzaniga G, et al. IKZF1(plus) defines a new minimal residual disease-dependent very-poor prognostic profile in pediatric b-cell precursor acute lymphoblastic leukemia. J Clin Oncol. 2018;36:1240–9.

  8. 8.

    Nan J, Hu H, Sun Y, Zhu L, Wang Y, Zhong Z, et al. TNFR2 stimulation promotes mitochondrial fusion via Stat3- and NF-kB-dependent activation of OPA1 expression. Circ Res. 2017;121:392–410.

  9. 9.

    Shochat C, Tal N, Bandapalli OR, Palmi C, Ganmore I, te Kronnie G, et al. Gain-of-function mutations in interleukin-7 receptor-alpha (IL7R) in childhood acute lymphoblastic leukemias. J Exp Med. 2011;208:901–8.

  10. 10.

    Shojaee S, Chan LN, Buchner M, Cazzaniga V, Cosgun KN, Geng H, et al. PTEN opposes negative selection and enables oncogenic transformation of pre-B cells. Nat Med. 2016;22:379–87.

  11. 11.

    James C, Ugo V, Le Couedic JP, Staerk J, Delhommeau F, Lacout C, et al. A unique clonal JAK2 mutation leading to constitutive signalling causes polycythaemia vera. Nature. 2005;434:1144–8.

  12. 12.

    Roberts KG, Li Y, Payne-Turner D, Harvey RC, Yang YL, Pei D, et al. Targetable kinase-activating lesions in Ph-like acute lymphoblastic leukemia. N Engl J Med. 2014;371:1005–15.

  13. 13.

    Schwartzman O, Savino AM, Gombert M, Palmi C, Cario G, Schrappe M, et al. Suppressors and activators of JAK-STAT signaling at diagnosis and relapse of acute lymphoblastic leukemia in Down syndrome. Proc Natl Acad Sci USA. 2017;114:E4030–e9.

  14. 14.

    Bercovich D, Ganmore I, Scott LM, Wainreb G, Birger Y, Elimelech A, et al. Mutations of JAK2 in acute lymphoblastic leukaemias associated with Down’s syndrome. Lancet. 2008;372:1484–92.

  15. 15.

    Izraeli S. The acute lymphoblastic leukemia of Down syndrome—genetics and pathogenesis. Eur J Med Genet. 2016;59:158–61.

Download references

Author information

Correspondence to Julia Hauer or Franziska Auer.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Supplemenary Figures S1-S3

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and Permissions

About this article

Verify currency and authenticity via CrossMark

Further reading