Next Article in Journal
A Low-Therapeutic Dose of Lithium Inhibits GSK3 and Enhances Myoblast Fusion in C2C12 Cells
Next Article in Special Issue
IL7-IL12 Engineered Mesenchymal Stem Cells (MSCs) Improve A CAR T Cell Attack Against Colorectal Cancer Cells
Previous Article in Journal
Feeding Entrainment of the Zebrafish Circadian Clock Is Regulated by the Glucocorticoid Receptor
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

MLL-Rearranged Acute Leukemia with t(4;11)(q21;q23)—Current Treatment Options. Is There a Role for CAR-T Cell Therapy?

1
Division of Biosciences, College of Health and Life Sciences, Institute of Environment, Health and Societies, Brunel University London, Uxbridge UB8 3PH, UK
2
ASYS Pharmaceutical Consultants-APC Inc. 2, Bedford, Nova Scotia B4A 4L2, Canada
*
Author to whom correspondence should be addressed.
Cells 2019, 8(11), 1341; https://doi.org/10.3390/cells8111341
Submission received: 7 October 2019 / Revised: 26 October 2019 / Accepted: 28 October 2019 / Published: 29 October 2019
(This article belongs to the Special Issue Chimeric Antigen Receptor T-Cell Therapy)

Abstract

:
The MLL (mixed-lineage leukemia) gene, located on chromosome 11q23, is involved in chromosomal translocations in a subtype of acute leukemia, which represents approximately 10% of acute lymphoblastic leukemia and 2.8% of acute myeloid leukemia cases. These translocations form fusions with various genes, of which more than 80 partner genes for MLL have been identified. The most recurrent fusion partner in MLL rearrangements (MLL-r) is AF4, mapping at chromosome 4q21, accounting for approximately 36% of MLL-r leukemia and particularly prevalent in MLL-r acute lymphoblastic leukemia (ALL) cases (57%). MLL-r leukemia is associated with a sudden onset, aggressive progression, and notoriously poor prognosis in comparison to non-MLL-r leukemias. Despite modern chemotherapeutic interventions and the use of hematopoietic stem cell transplantations, infants, children, and adults with MLL-r leukemia generally have poor prognosis and response to these treatments. Based on the frequency of patients who relapse, do not achieve complete remission, or have brief event-free survival, there is a clear clinical need for a new effective therapy. In this review, we outline the current therapy options for MLL-r patients and the potential application of CAR-T therapy.

1. Rearrangements of the MLL Gene in Leukemia

Rearrangements of the mixed-lineage leukemia (also known as MLL, KMT2A, HRX, or ALL1) gene are found in de novo and therapy-related myeloid and lymphoblastic leukemias, accounting for 9% of adult cases, 3–5% of children [1,2,3,4] and 61–80% of infants in acute lymphoblastic leukemia (ALL) [5,6,7], as well as 5–11% of adult cases, ~15% of children [8,9,10,11] and 33–75% of infant cases in acute myeloid leukemia (AML) [12,13]. MLL rearrangements (MLL-r) are the most prevalent abnormalities in infants and represents one of the most aggressive leukemia subtypes, generally characterized by a rapid onset, hyperleukocytosis, and dismal prognosis [2,14]. Adult forms, often arising as secondary therapy-related leukemia, which is an aggressive form of AML following DNA topoisomerase II inhibitor treatments, are also associated with generally poor clinical outcomes [15,16]. At the cytogenetic level, the majority of MLL-leukemias are characterized by balanced chromosomal translocations involving the MLL locus mapping at 11q23 [3]. Owing to its designation of ‘promiscuous’ gene, MLL has been shown to rearrange with more than 80 distinct partner genes, of which the most frequently observed are AF4, AF9, ELL, and ENL, resulting in the translocations t(4;11)(q21;q23), t(9;11)(q22;q23), t(11;19)(q23;p13.1), and t(11;19)(q23;p13.3), respectively [17].
The incidence and prevalence of individual subtypes and the corresponding diagnosis vary between adult and pediatric forms [18]. The distribution and prevalence of these subtypes are shown in Figure 1. Phenotypically, leukemic cells with MLL-r exhibit a heterogeneous lineage of pro-B or pro-B/monocytes. Certain phenotypes are more likely to be associated in conjunction with specific partner genes; for example, AF4 is more prevalent in pro-B leukemias [19]. Switches between lineages, referred to as ‘lineage plasticity’, have been reported in patients and are a major therapeutic challenge [20,21]. The World Health Organization (WHO) classification recognizes MLL-leukemias as a recurrent genetic abnormality under AML, B-cell acute lymphoblastic leukemia (B-ALL), and acute leukemias of an ambiguous lineage [22].
The oncogenicity of translocations involving MLL is attributed to the generation of chimeric proteins via the in-frame fusion of the N-terminus of MLL with the C-terminus of the partner [23]. The current understanding of MLL-driven leukemogenesis points at a dysregulation in gene expression (e.g., Hox genes, among others) by the disruption of epigenetic mechanisms and chromatin status. Wild-type MLL is involved in transcriptional regulation and chromatin modifications for the establishment of cell-specific transcriptional programs (or ‘transcriptional memory system’), with a major role in embryogenesis and maintenance of embryonic and adult hematopoiesis. When disrupted due to a translocation, the crucial MLL regulatory domains (e.g., DNA binding, histone marking/recognition, transactivation) become disrupted and fused to a partner gene. Most MLL partners (i.e., AF4, AF9, ENL, ELL, and AF10) are also regulators of transcription by direct or indirect interaction with RNA polymerase II. The resulting MLL chimeras are capable of subverting crucial transcriptional machinery, altering global gene expression and epigenetic signatures of the affected cells. This ultimately results in strongly enhanced and improper expression of genes involved in proliferation and lineage identity, conferring stem cell-like properties and consequent transformation [24,25,26].

2. Leukemia with t(4;11)(q21;q23): Clinical Picture and Risk Stratification

The t(4;11)(q21;q23) (Figure 2) represents one of the most recurrent translocations involving MLL and is most prevalent in lymphoblastic leukemia in both adults and infants/children. Clinically, the phenotype of patients with t(4;11) is B-ALL, with rare cases of AML [14,27]. As with other MLL rearrangements, t(4;11)-positive blasts present as mixed-lineage, morphologically lymphoblastic but exhibiting lymphoid and myeloid markers on the cell surface, such as CD19+/CD10 and CD15+ and CD33+, respectively [14,28,29]. The translocation produces the MLL-AF4 chimeric protein by the fusion of the two loci at 11q23 and 4q21 on the derivative chromosome 11 [17,30]. While the production of the reciprocal AF4-MLL from derivative 4 is also possible, AF4-MLL transcripts are rarely found, as the fusion does not occur in-frame in all cases [31]. The chimera MLL-AF4 is considered to be a major contributor in initiating and maintaining the malignancy, although it is not capable of initiating the malignancy per se [32]. The mutational landscape of MLL-leukemias is extraordinarily simple, with a surprisingly low frequency of secondary mutations that may contribute to leukemogenesis [33,34]. For this reason, the mechanism by which the t(4;11)(q21;q23) abnormality promotes such an aggressive and clinically challenging phenotype remains unclear [35]. The role of the reciprocal fusion AF4-MLL is also a topic of debate [36,37,38,39].
Patients with t(4;11) generally present at diagnosis with a high WBC count (median 180,000/µL), FAB subtype L1 or L2 of B-cell lineage, and an immature B cell immunophenotype with frequent co-expression of myeloid markers (CD10, CD19+, HLA-DR+, CD15+, CDw65+). Central nervous system (CNS) involvement and hepato-, spleno-, and lymphadenomegaly are often described [14], with CNS infiltration being notably common in children with t(4;11) [6]. As introduced before, rearrangements of the MLL gene and particularly the t(4;11) are notoriously linked to poor prognosis in both pediatric and adult forms, although differences exist between age groups. In the context of t(4;11), the poorest clinical outcomes are reported in infants below the age of 1 and adults >25–30 [40,41,42]. Conversely, children 1 to 9 years old exhibit better recovery rates [43,44]. From a biological point of view, gene expression analyses suggest that the development of MLL-driven leukemia in infants is distinct from older children, which could explain the marked, age-dependent differences observed in clinical outcomes [45]. In MLL-r infants, age <6 months, an extremely high WBC count (≥200,000–300,000/μL), lack of expression of CD10, and poor response to induction therapy are especially indicative of dismal prognosis [5,42,46,47,48,49], while in older patients with t(4;11) only in ages above 25 years old appear to be a significant predictor of poor outcome [41]. Nonetheless, the overall low frequency of adult MLL-r patients has hindered the identification of risk markers of high statistical significance, although older age is an established high-risk factor in adult ALL [50,51]. While rare, t(4;11) AML cases are equally associated with dismal prognosis [52] and deemed high risk according to the standard unfavorable prognostic factors for AML, namely ages above 60 years old, high WBC, and therapy-related AML [46].

3. Current Therapy for MLL-r Acute Leukemia Patients

Currently, treatment options for acute leukemias (AML or ALL) are not optimized for patients harboring MLL rearrangements. The MLL-r subgroup is cytogenetically heterogeneous and still hard to treat, with poor treatment outcomes from the available therapies and very short overall survival (OS). Furthermore, no specific treatment options exist for cytogenetic subgroups, including the t(4;11) [41]. Under most protocols, all MLL rearrangements are classified as intermediate-risk cytogenetic abnormalities, except t(4;11), t(6;11), and t(10;11) being recognized as adverse risk groups [52].

3.1. Cytotoxic and Cytoreductive Chemotherapy

Despite great advances in the understanding of targetable biological mechanisms underlining certain leukemia subtypes (e.g., tyrosine kinase inhibitors against BCR/ABL1 fusions and all trans retinoic acid for acute promyelocytic leukemia PML/RARA), the treatment strategy for most patients with acute leukemia still relies on cytotoxic and cytoreductive chemotherapeutic drugs [53,54]. More recently, while targeted agents against specific mutations (e.g., FLT3-ITD or IDH1/2 in AML, CAR-T therapy in ALL) have opened new therapeutic options for some patients, the majority of patients are still treated according to standard chemotherapeutic protocols.
For ALL (with the exclusion of Philadelphia chromosome-positive patients), the standard protocols include an induction with a steroid (dexamethasone or prednisolone) in combination with vincristine (V+P). Asparaginase and an anthracycline (daunorubicin or doxorubicin) are added according to risk groups. Following induction chemotherapy, all patients with ALL receive CNS prophylaxis, this is followed by post-induction consolidation and maintenance chemotherapy. Allogeneic stem cell transplant in first CR is recommended for all adults in all age categories as it has shown to improve survival, while it is not recommended for children with standard risk ALL in first complete remission (CR) (may be recommended for certain subgroups in their first CR such as those with the Philadelphia chromosome positive ALL), and recommended for children who relapse after achieving initial remission. For AML, aggressive induction chemotherapy consisting of cytarabine infusion plus an anthracycline (e.g., daunorubicin or idarubicin) is used for remission induction. Post remission therapy after achieving CR is controversial and depends on several factors such as age, general condition or performance status. Some patients with favorable-risk AML and those who are not proceeding to hematopoietic stem cell transplantation (HSCT), receive intensive consolidation with high dose cytarabine following induction therapy. Patients who are eligible for HSCT proceed to transplantation following their induction therapy. The chemotherapy regimens of choice correlate with the wider risk stratification groups but are not specific to individual cytogenetic entities [55]. Furthermore, although protocols are adjusted by age and body mass, no age-specific drugs are available despite that the biology of infant leukemia is known to be genetically distinct from other age groups, and particularly for MLL-r leukemias [45].
In MLL-r patients, treatment with induction combination chemotherapy according to risk stratification achieves up to 90% of patients in total remission but are followed with high rates of relapse—a trend that was reported in several studies. Five-year event-free survival (EFS) in MLL-r infants is considerably lower than non-MLL-r patients. Although aggressive induction achieves excellent rates of CR (80–90%), MLL-r infant patients are prone to relapse, failure of second remission, and low overall survival [6,56]. A similar picture is seen in adult MLL-r patients, as initial CR in the majority of patients follows high rates of relapse and 30% OS, with the t(4;11) subgroup being the highest risk group for disease reoccurrence [41,57]. The tendency to relapse in these patients is indicative of chemoresistant leukemic cell populations that fail to be eradicated by chemotherapeutic agents, rendering this therapeutic approach unsuitable for achieving a durable cure [58,59]. Interestingly, some MLL-r ALL patients respond more positively to AML-oriented or AML/ALL-hybrid chemotherapeutic regiments, which is attributable to the biphenotypic and early progenitor properties of MLL-r leukemias [6,56], as demonstrated by the sensitivity of MLL-r ALL blast to cytarabine in vitro [60]. A meticulous determination of prevalence of lymphoid versus myeloid blasts in individual patients could dictate the most optimal AML/ALL hybrid protocols to follow [61], although no benefit of hybrid and AML-oriented protocols was shown in the Interfant-06 study [62]. It has also been shown that pediatric protocols may be more effective in young adults up to the age of 25 [63,64,65].
Toxicity and long-term complications are an obvious concern in the use of cytotoxic and cytoreductive chemotherapy, which have led to prospective investigations on minimal effective dosages and number of cycles [6,47,66,67]. The risk/benefit evaluation of more aggressive interventions are unclear, especially in the infant cohorts where therapy-related mortality has been reported as high as 10% [6,62,67], and a dose reduction in induction chemotherapy was correlated with similar CR outcomes and lower fatality [68].

3.2. Other Treatment Strategies

Despite the efforts in improvements and adaptation of regimens over the years, the use of chemotherapeutic agents has proven inefficient in achieving satisfactory cure rates for MLL-r patients [61,62]. Additional combinatory agents are being investigated to complement the cytotoxic activity of current protocols. Various attempts have been reported in selectively targeting the oncogenic MLL-AF4 fusion, as well as related proteins, pathways, and complexes, but these have not been successfully translated into clinical use yet (reviewed by Steinhilber and Marschalek, 2018) [26]. An attractive therapeutic target for MLL-r leukemia is the epigenetic dysregulation brought about by MLL fusions, which could be treated by the use of nucleoside analogs hypomethylating agents such as decitabine, azacytidine, and clofarabine (NCT02828358) [69,70]. Decitabine, in particular, was shown to exert anti-proliferative action in cell lines and in patient-derived xenografts bearing t(4;11) [71]. A wide range of potentially targetable epigenetic and chromatin regulators have been identified, many of which have not reached clinical stages as of yet [72,73]. An example that has undergone clinical trials and shown limited improvements for MLL-r are DOT1L (a histone methyltransferase) inhibitors [74,75]. Histone deacetylase (HDAC) inhibitors, such as vorinostat and romidepsin, are also of clinical interest, following promising in vitro studies demonstrating anti-leukemic activity in cell lines and patient samples with MLL-r including t(4;11) [76,77], as well as in vivo with the HDAC inhibitor panobinostat [78].
The extraordinarily simple mutational landscape of MLL-r leukemias poses an additional challenge in the identification of druggable targets [34]. Infant MLL-r ALL, in particular, holds the title for one of the lowest number of somatic mutations across all malignancies [34,79], highlighting the limited window of genetic and molecular therapeutic targets for these patients. Between 30–50% of MLL-r patients harbor N-RAS and K-RAS mutations, which, however, do not appear to be essential in leukemogenesis, as they are subclonal or lost at relapse [79,80,81]. In the case of t(4;11) patients, approximately 30–40% have RAS mutations [80,81]. The overexpression of the Fms-like receptor tyrosine kinase-3 (FLT-3) in MLL-r leukemia, which results in the constitutive activation of FLT-3 signaling, could provide an opportunity for therapeutic targeting [82]. It is, however, a topic of debate whether the overexpression of FLT-3 results from activating mutations, as some groups argue that FLT-3 mutations are uncommon [83] or even completely absent in MLL-r ALL [84,85,86]. The high expression of FLT-3 in t(4;11) patients has been suggested to derive from FLT-3 being a direct transcriptional target of MLL-AF4 [87], and they act cooperatively in impairing differentiation but not overproliferation and transformation [88]. Nevertheless, the FLT-3 inhibitor lestaurtinib did not benefit infants with ALL in a trial by the Children’s Oncology Group [89]. A phase I trial testing a new generation FLT-3 inhibitor quizartinib showed promising outcomes in children with MLL-r ALL or refractory AML [90], although concerns on resistance in AML have been reported [91].

3.3. Hematopoietic Stem Cell Transplant

Allogeneic and autologous hematopoietic stem cell transplant is one of the few curative treatments for acute leukemia and often the sole option for refractory/chemoresistant patients. Due to its classification in poor risk cytogenetics, patients with t(4;11) are recommended to receive HSCT as intensification treatment. Since a large proportion of MLL-r patients achieve first CR, the major clinical question has revolved around the benefit of HSCT versus chemotherapy as consolidation options to prevent relapse. However, conflicting evidence has been gathered on the efficacy of HSCT in the treatment of all MLL-r leukemias [43,92,93].
According to the Interfant-99 international ALL trial, the majority of infant MLL-r patients did not benefit from HSCT over standard consolidation chemotherapy [43], which was in agreement with other studies [42,67,94,95]. Nonetheless, only a sub-cohort of MLL-r infants with high-risk factors (<6 months of age, high WBC count, and/or poor response to steroidal induction) showed improved outcomes with HSCT in Interfant-99 [43], while Pui et al. (2002; 2003) [40,42] reported that infants with t(4;11) receiving HSCT had worse OS than those treated with chemotherapy only. Other studies concluded that HSCT is beneficial in improving survival in MLL-r infants at first CR [96] and following high intensity induction chemotherapy [97,98].
Limited studies have addressed the benefits of HSCT in adult MLL-r patients with ALL, with inconclusive results. An improvement in OS and three-year relapse in comparison to chemotherapy was only reported by Yu et al. (2014) [99] for MLL-r patients. In adult t(4;11) patients, not only did HSCT not outperform consolidation chemotherapy, but mortality following HSCT was reported to be 30% [41]. Patients under 25 years of age were, however, good responders to HSCT with a low rate of relapse (6%) [41]. In earlier studies, HSCT was shown to be beneficial for t(4;11) patients [100] or only MLL-r patients with further high-risk markers [101]. In adult AML patients with MLL-r, HSCT was shown to be beneficial following the first CR [102].
While the MLL status alone is generally indicative of poor risk, it is apparent that the risk stratification within the MLL-r group is not sufficiently defined to identify sub-risk factors that influence outcomes for HSCT. Even within the established high-risk cytogenetics, including t(4;11), the response to HSCT is heterogeneous and unpredictable based on current risk evaluators (i.e., WBC, age, initial treatment response). The feasibility of monitoring minimal residual disease (MRD) by quantification of the MLL-AF4 fusion at the molecular level (e.g., by RT-PCR) has been shown to be a reliable evaluation marker in eligibility of HSCT in t(4;11) patients [103]. In most practices, all patients in high-risk groups are recommended for HSCT regardless of MRD, which may increase the risk of subjecting patients to unnecessary HSCT-related complications (e.g., graft-versus-host disease). HSCT and the preparatory procedures, which include radiation and chemotherapy, are also attributable to toxicity and late-onset adverse effects, which are of special concern in pediatric patients [92,104].
The success of HSCT is also attributable to the ’graft-vs-leukemia’ effect, by which the donor marrow cells exert anti-leukemic activity against leukemic cells in the recipient; in other words, an opposite mechanism to the graft-vs-host complication of transplants [105,106]. The culprit behind the variable response of MLL-r patients to HSCT could be linked to a resistance mechanism of these leukemias to the benefits of graft-vs-leukemia phenomenon. Tamai et al. (2010) [107], for instance, described a potential mechanism of apoptotic escape in cell lines with t(4;11) via tumor necrosis factor-alpha (TNF-α)-mediated pathways, which is known to be involved in graft-vs-leukemia cytotoxicity.

3.4. Immunotherapy

Immunotherapy including chimeric antigen receptor T cell (CAR-T) therapy for B-ALL is a new exciting approach. Although MLL-r patients have been permitted the use of this therapy, studies using CAR-T cell therapy have excluded infants <1 year with MLL-r, partially due to challenges in the production process when using autologous T-cells isolated from infants [61,108].

4. What Is CAR-T?

Chimeric antigen receptor T cell (CAR-T) therapy is an immunotherapy whereby the body’s own immune system is harnessed to target and destroy cancer cells [109]. Previous immunotherapies have relied on the use of monoclonal antibodies against tumor-associated targets, most notably CD19. The principle behind CAR-T, however, involves autologous CD4+ and CD8+ T lymphocytes being engineered with receptors specific to an antigen present uniquely on cancer cells, enabling the recognition of the particular antigen to selectively target the malignant cells. Chimeric antigen receptors (CARs) are synthetically engineered receptors that are grafted to T lymphocytes creating specificity to the chosen target antigen on cancer cells. The CARs consist of three components: an ectodomain, transmembrane domain, and endodomain, as illustrated in Figure 3.
The endodomain components have varied throughout the development of CARs in order to produce a more effective response. The most recent generation of CAR (fourth) consists of a co-stimulatory molecule such as CD28 and an interleukin-12 (IL-12) that connects to the CD3 zeta immunoreceptor tyrosine-based motifs [111]. The fourth generation of CARs are referred to as T cells redirected for universal cytokine-mediated killing (TRUCKs) because of their ability to increase T cell activation and trigger the destruction of antigen-presenting cancer cells by native immune cells [111].
The process from CAR-T cell production to administration is a multifaceted procedure, as displayed in Figure 4. Firstly, leukocytes are removed from the patients’ (autologous) or donors’ (allogeneic) peripheral blood by leukapheresis/apheresis. The CD4+ and CD8+ T lymphocytes are then separated from the leukocytes and are transfected with a CAR encoded viral or non-viral vector. The modified T cells (CAR-T cells) undergo ex vivo proliferation and purification until the required quantity is produced [103,105]. Following the ex vivo engineering procedure, the modified T cells are subsequently reinfused back into the patient [109,111].
The selection of appropriate tumor-associated antigens is of utmost importance in ensuring a targeted activity against malignant cells only. Currently, CD19 is used as the target antigen in B-ALL; however, other extracellular receptors are also being investigated to expand the use of CAR-T therapies against tumor cells not expressing CD19 [109,113]. CD19 is used as a target antigen because of its lineage selectivity and relatively universal expression on the cell surface of B cells and absence from hematopoietic stem/progenitor cells and non-hematopoietic tissues [114]; therefore, the CAR-T cells are able to target only cancer cells in B-ALL, minimizing the destruction of healthy cells [112].
In August 2017, the FDA approved tisagenlecleucel (Kymriah), the first CAR-T cell therapy for the treatment of relapsed and refractory B-ALL [115]. Tisangenlecleucel is currently indicated for CD19+ B-cell ALL patients who are under 25 years old and have relapsed twice or more or relapsed following an HSCT. Tisagenlecleucel has also received approval from the European Commission and has the recommendation of marketing authorization by the European Medicines Agency. Studies conducted in ALL patients who previously have been heavily pre-treated have shown a very high CR rate reaching 91% [116], with some studies showing remissions lasting up to 2 years [117]. The only other clinically approved CAR-T therapy is axicabtagene-ciloleucel (Yescarta) for the treatment of selected CD19+ B-cell lymphoma subtypes in adults [118].

5. Treatment of MLL-r with CAR-T Cell Therapy: Advantages and Challenges

CAR-T has shown great potential as seen with the impressive rates of CR achieved in patients who have relapsed following other treatments, with the potential of fulfilling the clinical gap in the treatment of refractory t(4;11) patients. CAR-T possesses several favorable attributes compared to the standard protocols, including the ability to treat patients irrespective of their human leukocyte antigen (HLA) haplotype through a major histocompatibility complex-independent antigen recognition method, unlike other immunotherapies [119]. As a result of the therapy’s ability to target a specific antigen with single-cell lineage or universal tumor specificity, the toxicity and lethality against healthy cells are lessened compared to chemotherapeutic agents. For MLL-r patients, whose cytogenetic and phenotypic manifestations are variable, treatment with CAR-T offers the opportunity for personalized medicine by identifying the key target for each patient through immunophenotypic and cytogenetic techniques. However, despite these promising findings in recent clinical studies, there are some challenges that must be addressed. A summary of the advantages and challenges is outlined in Table 1.
The proportion of MLL-r patient enrolled in CAR-T studies is limited. In a study conducted at the Memorial Sloan Kettering Cancer Center, out of 16 patients, one had MLL-r in the form of t(9;11), and another patient had an MLL deletion. The overall CR for all patients was 85%, with the six-months survival being 58%. The patient with MLL-r t(9;11) achieved MRD; however, the patient with the MLL deletion showed no response to the treatment [120]. Gardner et al. [121] reported the outcome of the treatment of seven B-ALL patients harboring an MLL-r with CD19-targeted CAR-T cells. All patients first underwent chemotherapy, followed by the infusion of the CD19-CAR-T cells. Following the treatment, all seven patients achieved CR in the blood and bone marrow. One month after treatment, two of the seven patients, one harboring t(4;11), developed AML. The AML clonally related to the original B-ALL, which was considered a unique mechanism of CD19 immune escape in MLL-r leukemias, as this event was not observed in any B-ALL patients without MLL-r in the study [121]. The age restriction of <25 applied to current clinically approved CAR-T therapies is a major drawback for the older adult t(4;11) cohort, who are poor responders to standard treatments and still in need of more effective interventions [41]. Also, the exclusion of infants below the age of one from the majority of CAR-T clinical trials is discouraging for the highest risk group of under six months. From a technical point of view, the process of manufacturing sufficient amounts of autologous T cells is often challenging, especially in heavily pre-treated patients and infants suffering from therapy-related lymphopenia. As a solution to these limitations, Qasim et al. [122] used gene editing to generate universal CAR19 (UCART19) allogeneic T cells from healthy donors to be administered as ‘off-the-shelf’ CAR-T cells. UCART19 were successful in achieving remission in two infants with relapsed refractory CD19+ B-ALL, in conjunction with chemotherapy and anti-CD52 serotherapy. UCART19 therapy for adult and pediatric relapsed/refractory B-ALL is currently under clinical investigation (NCT02735083, NCT02808442, NCT02746952).

5.1. Immune Escape

Loss of the CD19 antigen and immune escape is a crucial obstacle for MLL-r patients and especially the t(4;11) subtype. The escape of MLL-cells targeted by anti-CD19 immunotherapy is not unprecedented, as earlier reports have described similar issues with the anti-CD19-directed antibody blinatumomab by the loss of CD19 antigen expression [21,123]. Several mechanisms have been proposed for CD19 antigen loss in B-ALL following CD19-targeted therapies, including mutations or alternative splicing of CD19, antigenic masking, and lineage switch (reviewed by Shah et al.) [124]. As discussed earlier, the distinctive biphenotypic nature of MLL-r leukemias has been shown to confer the ability to switch between lineages in affected leukemic cells under selective pressure. This peculiar ability, which is seen inpatient [20,21] and in vitro [125], poses a challenge in therapies based on immune recognition of cellular markers in MLL-r patients. Lymphoid-to-myeloid, but extremely rarely myeloid-to-lymphoid, phenotypic transitions in MLL-r patients have been observed following chemotherapy and HSCT [20], and recently, following CD19-CAR-T administration [121,126]. The mechanism behind the development of clonally-related AML in the study by Gardner et al. [121] is not clear, but the investigators suggested that immunological pressure by CAR-T cells selectively advantaged a rare myeloid clone, or it could represent a de-differentiation from a lymphoid blast following the treatment [20,121]. In t(4;11), MLL-AF4 is held responsible for the dictation of predominantly lymphoid lineage identity, and a subsequent shift to myeloid lineage is thought to result from additional mutational events that override the lymphoid identity [127,128]. In fact, loss of CD19 alone is not sufficient to induce lineage switch, as demonstrated by Jacoby et al. [129] in vivo in a non-MLL-r B-ALL murine model. MLL-r patients’ susceptibility to the CD19 lineage switch could also be attributed to the intrinsic increased lineage plasticity of the MLL-r leukemic cell of origin, as the translocation of t(4;11) occurs at an early non-committed progenitor stage [81].
Lineage switch at relapse (irrespective of CD19-therapies) has been associated with the presence of an occult, multipotent pre-leukemic clone that follows the myeloid lineage over lymphoid by the acquisition of new genetic aberrations, which have recently been linked to an epigenetic dysregulation affecting transcriptional programs responsible for lineage identity [130]. In the case of post-CD19-CAR-T therapy, it remains to be elucidated whether the observed CD19 immune escape is a unique mechanism in response to CAR-T specifically. For instance, this may be associated with specific immunological alterations in the bone marrow microenvironment that confer a new context and possibly clonal advantage to CD19 populations, which is also supported by the observations that microenvironment clues are able to modulate lineage identity and oncogenicity in MLL-r leukemia [127]. An interesting possibility is that a common side effect of CAR-T (in detail in 5.2), cytokine-release syndrome (CRS), could lay the ground for myeloid lineage switch. Supported by in vitro evidence on t(4;11) cell lines, it has been proposed that exposure to high levels of cytokines, such as interleukin 6 (IL-6), is able to induce myeloid differentiation [131].

5.2. Target Specificity and Alternative Antigens

Although CAR-T cell therapy displays impressive specificity against tumor cells, the majority of target antigens may also be expressed on healthy tissue; this leads to the targeting of normal cells producing an increase in toxicity. This is referred to as ‘on-target/off-tumor recognition’ [132]. While this still remains a concern, off-target toxicity is reduced compared to other less targeted therapies. Even the elimination of tumor cells can cause complications such as tumor lysis syndrome [133]. In the case of a CD19-specific target, some non-pathogenic B cells are lysed, often resulting in B-cell aplasia. This is of particular concern as the targeting of plasma cells may result in compromised humoral immunity. Despite the universality of CD19 on B cells of various maturation stages, CD19 expression decreases with differentiation. Plasma cells have been shown to exist as both CD19+ and CD19 subsets, with the latter prevailing in the bone marrow and orchestrating long-term humoral responses [134]. In a study by Bhoj et al., anti-CD19 CAR-T therapy was shown to reduce circulating antibody levels but maintaining pathogen-specific antibodies stable, suggesting that CD19 plasma cells are functional in sustaining long-term immunity even under CD19+ B cell aplasia [135]. More long-term observations are, however, needed to establish prolonged effects on the immune system. Interestingly, Garfall et al. [136] reported successful use of CD19-directed CAR-T in a myeloma patient with an extremely low proportion of CD19-expressing myeloma cells, suggesting that CD19 populations are also attacked. Subsequent analysis by super-resolution microscopy revealed that seemingly CD19 cells did express CD19 on the surface below the resolution of flow cytometry and qPCR and were, therefore, successfully targeted by CAR-T. Despite this study proving an exceptional threshold of recognition by CAR-T cells at less than 100 CD19 molecules per cell [137], the efficacy of CAR-T activity has been shown to be reduced at low antigen densities [138], but the thresholds are variable [139]. Interestingly, although CD19 is a characteristic marker in MLL-r leukemia, it does not seem to be indispensable for the B-ALL malignant phenotype in t(4;11) leukemia, as demonstrated in xenograft repopulation experiments [28,140]. This concept may be applicable in the design of the next generation of CAR-T therapies in order to identify the most appropriate antigens beyond CD19 for the MLL-r group [113]. The co-expression of myeloid antigens could qualify t(4;11) patients (as well as other MLL-r groups) for future multi-target or AML-oriented CAR-T interventions (e.g., anti-CD33) [124,141], similarly to how chemotherapeutic protocols have been adapted to MLL-r patients with AML/ALL hybrid regimens.
In the attempt of refining target specificity and circumventing antigen escape mechanisms, alternative t(4;11) tumor-specific antigens are being explored. CAR-T against CD22 have been developed following the observations that relapsed B-ALL with CD19 antigen loss retain the B-cell antigen CD22. Comparable to CD19-targeted CAR-T, CD22-CAR-T has shown promising results in both adult and pediatric patients, including relapses from previous CD19-directed therapies [142,143]. Nonetheless, low CD22 density, which is notorious of MLL-r leukemia [144], could render CAR-T cells less effective against the target. Modulation of antigen density on tumor cells, as demonstrated by Ramakrishna et al. for upregulation of CD22 using bryostatin 1, could increase success rates. Multi-target CAR-T against CD19 and CD22 simultaneously has been shown to achieve remission in a B-ALL adult patient [145]. An alternative multi-target CAR-T option specifically for MLL-r B-ALL is to target CD19 and CD133 [146]. CD133 is highly specific for MLL-r leukemic cells and particularly for the t(4;11) [146,147]. Nonetheless, it will require further evaluations to establish the feasibility of CD133 as a target to minimize potential on-target/off-tumor effects, as later reports by Bueno et al. (2019) [148] showed that CD133 appears to be expressed on healthy hematopoietic progenitors. Another attractive target is neuron-glial antigen 2 (NG2), which is a selective marker of MLL-r leukemia [149]. Lopez-Millan et al. [150] demonstrated that NG2 targeting resulted in the mobilization of MLL-r cells from the bone marrow into circulation in vivo, proposing that anti-NG2 therapies can selectively render MLL-r blasts more vulnerable to co-administered antileukemic agents. Also highly specific to MLL-r [151], chondroitin sulfate proteoglycan 4 (CSPG4) is a potential candidate target for MLL-r patients, with promising in vitro observations of CSPG4-directed CAR-T selective lysing cells harboring t(11;19) [152]. Overall, with high-resolution technologies, as demonstrated by Nerreter et al. [137], it will be possible to redefine the current immunophenotypic profiling of MLL-r cells to identify unique markers that fall under the current detection limitations of widely used techniques.

5.3. Toxicity

Toxicity following CAR-T cell infusion has many potential contributory causes and can have a multifactorial nature, the most prevalent being the triggering of cytokine-release syndrome (CRS). Cytokine-release syndrome is an inflammatory response initiated by the overproduction of cytokines induced by the binding of CAR-T cell receptors to its target antigen causing a cascade of activation and release of excessive levels of potent cytokines [153], including interleukin-6 (IL-6), interferon-gamma (IFNγ), and tumor necrosis factor (TNF) [153,154]. Severe CRS can be life-threatening and can also lead to hemophagocytic lymphohistiocytosis, an inflammatory syndrome caused by hypercytokinemia [155], and macrophage activation syndrome, a severe disorder caused by the dysregulation of T cell and macrophage activation [156]. Anaphylaxis can also occur as a result of the scFv on the CAR, often originating from a murine monoclonal antibody, which can be recognized as foreign [132]. CRS-associated neurotoxicity has also been reported in the form of delirium and epileptic episodes, which were, however, deemed reversible and clinically manageable [120,133,157,158,159], but may pose additional risks to patients with t(4;11) who often present leukemia-related CNS involvement. The identification of susceptibility factors for the development of CRS will improve the management of these complications.

5.4. Persistence and Long-Term Effects

CAR-T cell persistence is still an area of debate as the duration of which CAR-T cells remain in the blood varies based on multiple factors, including the co-stimulatory signaling molecules selected for the endodomain of the CAR structure. Certain co-stimulatory domains appear to improve CAR-T cell persistence, such as 4-1BB (CD137) [160]; however, it is unclear whether this increased longevity facilitates sustained remissions. Inconsistencies between cases are often observed; a study by Maude et al. reported the average duration of persistence of CD19-specific CAR-T cells in the blood to be 168 days in the 60 patients tested [161]. In contrast, a study by Davila et al. showed that the CAR-T cell levels were low to undetectable after 2–3 months [120]. This emphasizes the need for the proper CAR structure/design to be chosen for the best outcome. Despite the differences in persistence, a long-term follow-up study found no association between CAR-T cell persistence and longevity of remission [162].

6. Conclusions

In conclusion, CAR-T therapy is currently the most effective therapy for patients with CD19-positive B-ALL who have failed previous lines of therapy. The majority of the studies did not pro-actively select patients with MLL-r, which affected the number of cases harboring this rearrangement enrolled and, consequently, our ability to fully assess the benefit/risk of this treatment for patients with t(4;11). Despite the small number of patients, CAR-T therapy has shown encouraging CR rates. Unfortunately, MLL-r patients are prone to the unique immune escape from CD19-targeted immunotherapies by clonal evolution and lineage switch. The benefit/risk assessment of the treatment of MLL-r acute leukemias with CAR-T cell therapy can only be fully assessed with more studies with a sufficient number of patients with these rearrangements, and by identifying possible differences among cytogenetic subgroups. Long-term EFS and OS results still remain relatively undetermined on account of the novelty of this treatment. With particular focus on the cytogenetic subgroup t(4;11), the expression of CD19 allows the successful use of the current clinically approved CAR-T therapy, but the discovery of targetable antigens other than CD19 will expand its use in the clinic. The variability in clinical phenotypes associated with different MLL rearrangements is an obstacle in the accessibility of CAR-T for all MLL-r patients. Hence, more studies involving MLL-r patients will enable the identification of more efficient therapies using CAR-T or other targeted agents for this hard-to-treat subgroup of acute leukemias.

Funding

This research received no external funding.

Acknowledgments

The authors wish to thank Uday Kishore, Brunel University London, for critical reading of the manuscript.

Conflicts of Interest

Y.M.K.’s affiliation does not involve any conflict of interest, financial relationship, nor involvement in any company developing compounds related to the topic of the review. All the data presented in the manuscript and the recommendations therein are evidence-based and available as published. O.B.; D.R.; and S.T. confirm that there is no conflict of interest with any entity or company involved in the production of any compound related to the topic of this research. There is no financial relationship, no stock option, and no research funding received from any commercial entity related to the topic of this manuscript to disclose.

References

  1. Moorman, A.V.; Ensor, H.M.; Richards, S.M.; Chilton, L.; Schwab, C.; Kinsey, S.E.; Vora, A.; Mitchell, C.D.; Harrison, C.J. Prognostic effect of chromosomal abnormalities in childhood B-cell precursor acute lymphoblastic leukaemia: Results from the UK Medical Research Council ALL97/99 randomised trial. Lancet Oncol. 2010, 11, 429–438. [Google Scholar] [CrossRef]
  2. Behm, F.G.; Raimondi, S.C.; Frestedt, J.L.; Liu, Q.; Crist, W.M.; Downing, J.R.; Rivera, G.K.; Kersey, J.H.; Pui, C.H. Rearrangement of the MLL gene confers a poor prognosis in childhood acute lymphoblastic leukemia, regardless of presenting age. Blood 1996, 87, 2870–2877. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Raimondi, S.C.; Frestedt, J.L.; Pui, C.H.; Downing, J.R.; Head, D.R.; Kersey, J.H.; Behm, F.G. Acute lymphoblastic leukemias with deletion of 11q23 or a novel inversion (11)(p13q23) lack MLL gene rearrangements and have favorable clinical features. Blood 1995, 86, 1881–1886. [Google Scholar] [CrossRef]
  4. Armstrong, S.A.; Look, A.T. Molecular Genetics of Acute Lymphoblastic Leukemia. J. Clin. Oncol. 2005, 23, 6306–6315. [Google Scholar] [CrossRef] [PubMed]
  5. Rubnitz, J.E.; Link, M.P.; Shuster, J.J.; Carroll, A.J.; Hakami, N.; Frankel, L.S.; Pullen, D.J.; Cleary, M.L. Frequency and prognostic significance of HRX rearrangements in infant acute lymphoblastic leukemia: A Pediatric Oncology Group study. Blood 1994, 84, 570–573. [Google Scholar] [CrossRef] [PubMed]
  6. Pieters, R.; Schrappe, M.; De Lorenzo, P.; Hann, I.; De Rossi, G.; Felice, M.; Hovi, L.; LeBlanc, T.; Szczepanski, T.; Ferster, A.; et al. A treatment protocol for infants younger than 1 year with acute lymphoblastic leukaemia (Interfant-99): An observational study and a multicentre randomised trial. Lancet 2007, 370, 240–250. [Google Scholar] [CrossRef]
  7. Sam, T.N.; Kersey, J.H.; Linabery, A.M.; Johnson, K.J.; Heerema, N.A.; Hilden, J.M.; Davies, S.M.; Reaman, G.H.; Ross, J.A. MLL gene rearrangements in infant leukemia vary with age at diagnosis and selected demographic factors: A Children’s Oncology Group (COG) study. Pediatr. Blood Cancer 2011, 58, 836–839. [Google Scholar] [CrossRef]
  8. Shih, L.Y.; Liang, D.C.; Fu, J.F.; Wu, J.H.; Wang, P.N.; Lin, T.L.; Dunn, P.; Kuo, M.C.; Tang, T.C.; Lin, T.H.; et al. Characterization of fusion partner genes in 114 patients with de novo acute myeloid leukemia and MLL rearrangement. Leukemia 2006, 20, 218–223. [Google Scholar] [CrossRef]
  9. Palle, J.; Frost, B.M.; Forestier, E.; Gustafsson, G.; Nygren, P.; Hellebostad, M.; Jonsson, O.G.; Kanerva, J.; Schmiegelow, K.; Larsson, R.; et al. Cellular drug sensitivity in MLL-rearranged childhood acute leukaemia is correlated to partner genes and cell lineage. Br. J. Haematol. 2005, 129, 189–198. [Google Scholar] [CrossRef]
  10. Grimwade, D.; Walker, H.; Oliver, F.; Wheatley, K.; Harrison, C.; Harrison, G.; Rees, J.; Hann, I.; Stevens, R.; Burnett, A.; et al. The Importance of Diagnostic Cytogenetics on Outcome in AML: Analysis of 1,612 Patients Entered Into the MRC AML 10 Trial. Blood 1998, 92, 2322–2333. [Google Scholar] [CrossRef] [Green Version]
  11. Raimondi, S.C.; Chang, M.N.; Ravindranath, Y.; Behm, F.G.; Gresik, M.V.; Steuber, C.P.; Weinstein, H.J.; Carroll, A.J. Chromosomal abnormalities in 478 children with acute myeloid leukemia: Clinical characteristics and treatment outcome in a cooperative pediatric oncology group study-POG 8821. Blood 1999, 94, 3707–3716. [Google Scholar] [PubMed]
  12. Pais, A.; Amare Kadam, P.; Raje, G.; Sawant, M.; Kabre, S.; Jain, H.; Advani, S.; Banavali, S. Identification of various MLL gene aberrations that lead to MLL gene mutation in patients with acute lymphoblastic leukemia (ALL) and infants with acute leukemia. Leuk. Res. 2005, 29, 517–526. [Google Scholar] [CrossRef] [PubMed]
  13. Masetti, R.; Vendemini, F.; Zama, D.; Biagi, C.; Pession, A.; Locatelli, F. Acute Myeloid Leukemia in Infants: Biology and Treatment. Front. Pediatr. 2015, 3, 37. [Google Scholar] [CrossRef] [PubMed]
  14. Pui, C.H.; Frankel, L.S.; Carroll, A.J.; Raimondi, S.C.; Shuster, J.J.; Head, D.R.; Crist, W.M.; Land, V.J.; Pullen, D.J.; Steuber, C.P. Clinical characteristics and treatment outcome of childhood acute lymphoblastic leukemia with the t(4;11)(q21;q23): A collaborative study of 40 cases. Blood 1991, 77, 440–447. [Google Scholar] [CrossRef]
  15. Schoch, C.; Schnittger, S.; Klaus, M.; Kern, W.; Hiddemann, W.; Haferlach, T. AML with 11q23/MLL abnormalities as defined by the WHO classification: Incidence, partner chromosomes, FAB subtype, age distribution, and prognostic impact in an unselected series of 1897 cytogenetically analyzed AML cases. Blood 2003, 102, 2395–2402. [Google Scholar] [CrossRef] [PubMed]
  16. Tamai, H.; Inokuchi, K. 11q23/MLL acute leukemia: Update of clinical aspects. J. Clin. Exp. Hematop. 2010, 50, 91–98. [Google Scholar] [CrossRef] [PubMed]
  17. Meyer, C.; Burmeister, T.; Gröger, D.; Tsaur, G.; Fechina, L.; Renneville, A.; Sutton, R.; Venn, N.C.; Emerenciano, M.; Pombo-de-Oliveira, M.S.; et al. The MLL recombinome of acute leukemias in 2017. Leukemia 2018, 32, 273–284. [Google Scholar] [CrossRef]
  18. Krivtsov, A.V.; Armstrong, S.A. MLL translocations, histone modifications and leukaemia stem-cell development. Nat. Rev. Cancer. 2007, 7, 823–833. [Google Scholar] [CrossRef]
  19. Bueno, C.; Montes, R.; Catalina, P.; Rodríguez, R.; Menendez, P. Insights into the cellular origin and etiology of the infant pro-B acute lymphoblastic leukemia with MLL-AF4 rearrangement. Leukemia 2011, 25, 400–410. [Google Scholar] [CrossRef]
  20. Rossi, J.G.; Bernasconi, A.R.; Alonso, C.N.; Rubio, P.L.; Gallego, M.S.; Carrara, C.A.; Guitter, M.R.; Eberle, S.E.; Cocce, M.; Zubizarreta, P.A.; et al. Lineage switch in childhood acute leukemia: An unusual event with poor outcome. Am. J. Hematol. 2012, 87, 890–897. [Google Scholar] [CrossRef]
  21. Rayes, A.; McMasters, R.L.; O’Brien, M.M. Lineage Switch in MLL-Rearranged Infant Leukemia Following CD19-Directed Therapy. Pediatr. Blood Cancer 2016, 63, 1113–1115. [Google Scholar] [CrossRef] [PubMed]
  22. Arber, D.A.; Orazi, A.; Hasserjian, R.; Thiele, J.; Borowitz, M.J.; Le Beau, M.M.; Bloomfield, C.D.; Cazzola, M.; Vardiman, J.W. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood 2016, 127, 2391–2405. [Google Scholar] [CrossRef] [PubMed]
  23. Marschalek, R.; Nilson, I.; Löchner, K.; Greim, R.; Siegler, G.; Greil, J.; Beck, J.D.; Fey, G.H. The structure of the human ALL-1/MLL/HRX gene. Leuk. Lymphoma 1997, 27, 417–428. [Google Scholar] [CrossRef] [PubMed]
  24. Marschalek, R. Systematic Classification of Mixed-Lineage Leukemia Fusion Partners Predicts Additional Cancer Pathways. Ann. Lab. Med. 2016, 36, 85–100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Yokoyama, A. Molecular mechanisms of MLL-associated leukemia. Int. J. Hematol. 2015, 101, 352–361. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  26. Steinhilber, D.; Marschalek, R. How to effectively treat acute leukemia patients bearing MLL-rearrangements? Biochem. Pharmacol. 2018, 147, 183–190. [Google Scholar] [CrossRef]
  27. Blütters-Sawatzki, R.; Borkhardt, A.; Grathwohl, J.; Repp, R.; Rheinisch-Becker, I.; Bohle, R.M.; Lampert, F. Secondary acute myeloid leukemia with translocation (4;11) and MLL/AF4 rearrangement in a 15-year-old boy treated for common acute lymphoblastic leukemia 11 years earlier. Ann. Hematol. 1995, 70, 31–35. [Google Scholar] [CrossRef]
  28. Aoki, Y.; Watanabe, T.; Saito, Y.; Kuroki, Y.; Hijikata, A.; Takagi, M.; Tomizawa, D.; Eguchi, M.; Eguchi-Ishimae, M.; Kaneko, A.; et al. Identification of CD34+ and CD34 leukemia-initiating cells in MLL-rearranged human acute lymphoblastic leukemia. Blood 2015, 125, 967–980. [Google Scholar] [CrossRef]
  29. Pui, C.H. Acute leukemias with the t(4;11)(q21;q23). Leuk. Lymphoma 1992, 7, 173–179. [Google Scholar] [CrossRef]
  30. Domer, P.H.; Fakharzadeh, S.S.; Chen, C.S.; Jockel, J.; Johansen, L.; Silverman, G.A.; Kersey, J.H.; Korsmeyer, S.J. Acute mixed-lineage leukemia t(4;11)(q21;q23) generates an MLL-AF4 fusion product. Proc. Natl. Acad. Sci. 1993, 90, 7884–7888. [Google Scholar] [CrossRef]
  31. Downing, J.R.; Head, D.R.; Raimondi, S.C.; Carroll, A.J.; Curcio-Brint, A.M.; Motroni, T.A.; Hulshof, M.G.; Pullen, D.J.; Domer, P.H. The der(11)-encoded MLL/AF-4 fusion transcript is consistently detected in t(4;11)(q21;q23)-containing acute lymphoblastic leukemia. Blood 1994, 83, 330–335. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Montes, R.; Ayllón, V.; Gutierrez-Aranda, I.; Prat, I.; Hernández-Lamas, M.C.; Ponce, L.; Bresolin, S.; Te Kronnie, G.; Greaves, M.; Bueno, C.; et al. Enforced expression of MLL-AF4 fusion in cord blood CD34+ cells enhances the hematopoietic repopulating cell function and clonogenic potential but is not sufficient to initiate leukemia. Blood 2011, 117, 4746–4758. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Tamai, H.; Miyake, K.; Takatori, M.; Miyake, N.; Yamaguchi, H.; Dan, K.; Shimada, T.; Inokuchi, K. Activated K-Ras protein accelerates human MLL AF4-induced leukemo-lymphomogenicity in a transgenic mouse model. Leukemia 2011, 25, 888–891. [Google Scholar] [CrossRef] [PubMed]
  34. Dobbins, S.E.; Sherborne, A.L.; Ma, Y.P.; Bardini, M.; Biondi, A.; Cazzaniga, G.; Lloyd, A.; Chubb, D.; Greaves, M.F.; Houlston, R.S. The silent mutational landscape of infant MLL-AF4 pro-B acute lymphoblastic leukemia. Genes Chromosom. Cancer 2013, 52, 954–960. [Google Scholar] [CrossRef] [PubMed]
  35. Stam, R.W. MLL-AF4 driven leukemogenesis: What are we missing? Cell Res. 2012, 22, 948–949. [Google Scholar] [CrossRef]
  36. Bursen, A.; Schwabe, K.; Rüster, B.; Henschler, R.; Ruthardt, M.; Dingermann, T.; Marschalek, R. The AF4.MLL fusion protein is capable of inducing ALL in mice without requirement of MLL.AF4. Blood 2010, 115, 3570–3579. [Google Scholar] [CrossRef] [PubMed]
  37. Wilkinson, A.C.; Ballabio, E.; Geng, H.; North, P.; Tapia, M.; Kerry, J.; Biswas, D.; Roeder, R.G.; Allis, C.D.; Melnick, A.; et al. RUNX1 is a key target in t(4;11) leukemias that contributes to gene activation through an AF4-MLL complex interaction. Cell Rep. 2013, 3, 116–127. [Google Scholar] [CrossRef]
  38. Kumar, A.R.; Yao, Q.; Li, Q.; Sam, T.A.; Kersey, J.H. t(4;11) leukemias display addiction to MLL-AF4 but not to AF4-MLL. Leuk. Res. 2011, 35, 305–309. [Google Scholar] [CrossRef] [Green Version]
  39. Prieto, C.; Marschalek, R.; Kühn, A.; Bursen, A.; Bueno, C.; Menéndez, P. The AF4-MLL fusion transiently augments multilineage hematopoietic engraftment but is not sufficient to initiate leukemia in cord blood CD34+ cells. Oncotarget 2017, 8, 81936–81941. [Google Scholar] [CrossRef] [Green Version]
  40. Pui, C.H.; Chessells, J.M.; Camitta, B.; Baruchel, A.; Biondi, A.; Boyett, J.M.; Carroll, A.; Eden, O.B.; Evans, W.E.; Gadner, H.; et al. Clinical heterogeneity in childhood acute lymphoblastic leukemia with 11q23 rearrangements. Leukemia 2003, 17, 700–706. [Google Scholar] [CrossRef] [Green Version]
  41. Marks, D.I.; Moorman, A.V.; Chilton, L.; Paietta, E.; Enshaie, A.; DeWald, G.; Harrison, C.J.; Fielding, A.K.; Foroni, L.; Goldstone, A.H.; et al. The clinical characteristics, therapy and outcome of 85 adults with acute lymphoblastic leukemia and t(4;11)(q21;q23)/MLL-AFF1 prospectively treated in the UKALLXII/ECOG2993 trial. Haematologica 2013, 98, 945–952. [Google Scholar] [CrossRef] [PubMed]
  42. Pui, C.; Gaynon, P.S.; Boyett, J.M.; Chessells, J.M.; Baruchel, A.; Kamps, W.; Silverman, L.B.; Biondi, A.; Harms, D.; Vilmer, E.; et al. Outcome of treatment in childhood acute lymphoblastic leukaemia with rearrangements of the 11q23 chromosomal region. Lancet 2002, 359, 1909–1915. [Google Scholar] [CrossRef]
  43. Mann, G.; Attarbaschi, A.; Schrappe, M.; De Lorenzo, P.; Peters, C.; Hann, I.; De Rossi, G.; Felice, M.; Lausen, B.; LeBlanc, T.; et al. Improved outcome with hematopoietic stem cell transplantation in a poor prognostic subgroup of infants with mixed-lineage-leukemia (MLL)–rearranged acute lymphoblastic leukemia: Results from the Interfant-99 Study. Blood 2010, 116, 2644–2650. [Google Scholar] [CrossRef] [PubMed]
  44. De Lorenzo, P.; Moorman, A.V.; Pieters, R.; Dreyer, Z.E.; Heerema, N.A.; Carroll, A.J.; Hunger, S.P.; Harvey, R.; Willman, C.L.; Devidas, M.; et al. Cytogenetics and outcome of infants with acute lymphoblastic leukemia and absence of MLL rearrangements. Leukemia 2014, 28, 428–430. [Google Scholar] [CrossRef]
  45. Kang, H.; Wilson, C.S.; Harvey, R.C.; Chen, I.M.; Murphy, M.H.; Atlas, S.R.; Bedrick, E.J.; Devidas, M.; Carroll, A.J.; Robinson, B.W.; et al. Gene expression profiles predictive of outcome and age in infant acute lymphoblastic leukemia: A Children’s Oncology Group study. Blood 2012, 119, 1872–1881. [Google Scholar] [CrossRef]
  46. Kistler, M.; Schiller, G. Acute Leukemia and Myelodysplastic Syndromes. In Manual of Clinical Oncology, 8th ed.; Chmielowski, B., Territo, M., Eds.; Wolters Kluwer: Philadelphia, PA, USA, 2017; pp. 592–593. [Google Scholar]
  47. Hilden, J.M.; Dinndorf, P.A.; Meerbaum, S.O.; Sather, H.; Villaluna, D.; Heerema, N.A.; McGlennen, R.; Smith, F.O.; Woods, W.G.; Salzer, W.L.; et al. Analysis of prognostic factors of acute lymphoblastic leukemia in infants: Report on CCG 1953 from the Children’s Oncology Group. Blood 2006, 108, 441–451. [Google Scholar] [CrossRef]
  48. Reaman, G.H.; Sposto, R.; Sensel, M.G.; Lange, B.J.; Feusner, J.H.; Heerema, N.A.; Leonard, M.; Holmes, E.J.; Sather, H.N.; Pendergrass, T.W.; et al. Treatment outcome and prognostic factors for infants with acute lymphoblastic leukemia treated on two consecutive trials of the Children’s Cancer Group. J. Clin. Oncol. 1999, 17, 445–455. [Google Scholar] [CrossRef]
  49. Heerema, N.A.; Arthur, D.C.; Sather, H.; Albo, V.; Feusner, J.; Lange, B.J.; Steinherz, P.G.; Zeltzer, P.; Hammond, D.; Reaman, G.H. Cytogenetic features of infants less than 12 months of age at diagnosis of acute lymphoblastic leukemia: Impact of the 11q23 breakpoint on outcome: A report of the Childrens Cancer Group. Blood 1994, 83, 2274–2284. [Google Scholar] [CrossRef]
  50. Chessells, J.M.; Hall, E.; Prentice, H.G.; Durrant, J.; Bailey, C.C.; Richards, S.M. The impact of age on outcome in lymphoblastic leukaemia; MRC UKALL X and XA compared: A report from the MRC Paediatric and Adult Working Parties. Leukemia 1998, 12, 463–473. [Google Scholar] [CrossRef]
  51. Rowe, J.M.; Buck, G.; Burnett, A.K.; Chopra, R.; Wiernik, P.H.; Richards, S.M.; Lazarus, H.M.; Franklin, I.M.; Litzow, M.R.; Ciobanu, N.; et al. Induction therapy for adults with acute lymphoblastic leukemia: Results of more than 1500 patients from the international ALL trial: MRC UKALL XII/ECOG E2993. Blood 2005, 106, 3760–3767. [Google Scholar] [CrossRef]
  52. Balgobind, B.V.; Raimondi, S.C.; Harbott, J.; Zimmermann, M.; Alonzo, T.A.; Auvrignon, A.; Beverloo, H.B.; Chang, M.; Creutzig, U.; Dworzak, M.N.; et al. Novel prognostic subgroups in childhood 11q23/MLL-rearranged acute myeloid leukemia: Results of an international retrospective study. Blood 2009, 114, 2489–2496. [Google Scholar] [CrossRef] [PubMed]
  53. Döhner, H.; Estey, E.H.; Amadori, S.; Appelbaum, F.R.; Büchner, T.; Burnett, A.K.; Dombret, H.; Fenaux, P.; Grimwade, D.; Larson, R.A.; et al. Diagnosis and management of acute myeloid leukemia in adults: Recommendations from an international expert panel, on behalf of the European LeukemiaNet. Blood 2010, 115, 453–474. [Google Scholar] [CrossRef] [PubMed]
  54. Dombret, H.; Gardin, C. An update of current treatments for adult acute myeloid leukemia. Blood 2016, 127, 53–61. [Google Scholar] [CrossRef] [PubMed]
  55. Grimwade, D.; Walker, H.; Chatters, S.; Goldstone, A.H.; Wheatley, K.; Burnett, A.K.; on behalf of the National Cancer Research Institute Adult Leukaemia Working Group; Hills, R.K.; Moorman, A.V.; Harrison, C.J.; et al. Refinement of cytogenetic classification in acute myeloid leukemia: Determination of prognostic significance of rare recurring chromosomal abnormalities among 5876 younger adult patients treated in the United Kingdom Medical Research Council trials. Blood 2010, 116, 354–365. [Google Scholar] [CrossRef]
  56. Tomizawa, D.; Koh, K.; Hirayama, M.; Miyamura, T.; Hatanaka, M.; Saikawa, Y.; Ishii, E. Outcome of recurrent or refractory acute lymphoblastic leukemia in infants with MLL gene rearrangements: A report from the Japan infant leukemia study group. Pediatric. Blood Cancer 2009, 52, 808–813. [Google Scholar] [CrossRef]
  57. Badar, T.; Kantarjian, H.M.; O’Brien, S.; Garcia-Manero, G.; Jabbour, E.; Garris, R.; Pemmaraju, N.; Daver, N.; Ravandi, F.; Cortes, J.; et al. Clinical Outcome of De Novo Adult Acute Lymphoblastic Leukemia (ALL) with 11q23/Mixed Lineage Leukemia (MLL) Gene Rearrangements. Blood 2014, 124, 5342. [Google Scholar] [CrossRef]
  58. Kersey, J.H.; Wang, D.; Oberto, M. Resistance of t(4;11) (MLL-AF4 fusion gene) leukemias to stress-induced cell death: Possible mechanism for extensive extramedullary accumulation of cells and poor prognosis. Leukemia 1998, 12, 1561–1564. [Google Scholar] [CrossRef]
  59. Gaussmann, A.; Wenger, T.; Eberle, I.; Bursen, A.; Bracharz, S.; Herr, I.; Dingermann, T.; Marschalek, R. Combined effects of the two reciprocal t(4;11) fusion proteins MLL.AF4 and AF4.MLL confer resistance to apoptosis, cell cycling capacity and growth transformation. Oncogene 2007, 26, 3352–3363. [Google Scholar] [CrossRef]
  60. Stam, R.W.; den Boer, M.L.; Meijerink, J.P.P.; Ebus, M.E.G.; Peters, G.J.; Noordhuis, P.; Janka-Schaub, G.E.; Armstrong, S.A.; Korsmeyer, S.J.; Pieters, R. Differential mRNA expression of Ara-C–metabolizing enzymes explains Ara-C sensitivity in MLL gene–rearranged infant acute lymphoblastic leukemia. Blood 2003, 101, 1270–1276. [Google Scholar] [CrossRef]
  61. Brown, P.; Pieters, R.; Biondi, A. How I treat infant leukemia. Blood 2019, 133, 205–214. [Google Scholar] [CrossRef]
  62. Pieters, R.; De Lorenzo, P.; Ancliffe, P.; Aversa, L.A.; Brethon, B.; Biondi, A.; Campbell, M.; Escherich, G.; Ferster, A.; Gardner, R.A.; et al. Outcome of Infants Younger Than 1 Year With Acute Lymphoblastic Leukemia Treated With the Interfant-06 Protocol: Results From an International Phase III Randomized Study. J. Clin. Oncol. 2019, 37, 2246–2256. [Google Scholar] [CrossRef] [PubMed]
  63. Goldstone, A.H.; Chopra, R.; Buck, G.; Richards, M.; Franklin, J.M.; Lazarus, H.M.; Wiemik, P.H.; Tallman, M.S.; Prentice, H.G.; Durrant, J.; et al. The outcome of 267 Philadelphia positive adults in the international UKALL12/ECOG E 2993 study. Final analysis and the role of allogeneic transplant in those under 50 years. 2003, 102, 80A. [Google Scholar]
  64. Barry, E.; DeAngelo, D.J.; Neuberg, D.; Stevenson, K.; Loh, M.L.; Asselin, B.L.; Barr, R.D.; Clavell, L.A.; Hurwitz, C.A.; Moghrabi, A.; et al. Favorable Outcome for Adolescents with Acute Lymphoblastic Leukemia Treated on Dana-Farber Cancer Institute Acute Lymphoblastic Leukemia Consortium Protocols. J. Clin. Oncol. 2007, 25, 813–819. [Google Scholar] [CrossRef]
  65. Kliman, D.S.; Barnett, M.J.; Broady, R.; Forrest, D.L.; Gerrie, A.S.; Hogge, D.E.; Nantel, S.H.; Narayanan, S.; Nevill, T.J.; Power, M.M.; et al. Pediatric-Based Versus Adult Treatment Protocols in Young Adults (18-40 years) with Standard Risk Acute Lymphoblastic Leukemia: The BC Cancer Agency Experience. Blood 2015, 126, 3770. [Google Scholar] [CrossRef]
  66. Burnett, A.K.; Russell, N.; Hills, R.K.; Kell, J.; Cavenagh, J.; Kjeldsen, L.; McMullin, M.F.; Cahalin, P.; Dennis, M.; Milligan, D.; et al. A Randomised Comparison of Daunorubicin 90mg/m2 Vs 60mg/m2 in AML Induction: Results from the UK NCRI AML17 Trial in 1206 Patients. Blood 2014, 124, 7. [Google Scholar] [CrossRef]
  67. Dreyer, Z.E.; Hilden, J.M.; Jones, T.L.; Devidas, M.; Winick, N.J.; Willman, C.L.; Harvey, R.C.; Chen, I.; Behm, F.G.; Pullen, J.; et al. Intensified chemotherapy without SCT in infant ALL: Results from COG P9407 (Cohort 3). Pediatric. Blood Cancer 2015, 62, 419–426. [Google Scholar] [CrossRef]
  68. Salzer, W.L.; Jones, T.L.; Devidas, M.; Dreyer, Z.E.; Gore, L.; Winick, N.J.; Sung, L.; Raetz, E.; Loh, M.L.; Wang, C.Y.; et al. Decreased Induction Morbidity and Mortality Following Modification to Induction Therapy in Infants with Acute Lymphoblastic Leukemia Enrolled on AALL0631: A Report from the Children’s Oncology Group. Pediatric. Blood Cancer 2014, 62, 414–418. [Google Scholar] [CrossRef]
  69. Lubecka-Pietruszewska, K.; Kaufman-Szymczyk, A.; Stefanska, B.; Cebula-Obrzut, B.; Smolewski, P.; Fabianowska-Majewska, K. Clofarabine, a novel adenosine analogue, reactivates DNA methylation-silenced tumour suppressor genes and inhibits cell growth in breast cancer cells. Eur. J. Pharmacol. 2014, 723, 276–287. [Google Scholar] [CrossRef]
  70. Stumpel, Dominique, J.P.M.; Schneider, P.; Pieters, R.; Stam, R.W. The potential of clofarabine in MLL -rearranged infant acute lymphoblastic leukaemia. Eur. J. Cancer 2015, 51, 2008–2021. [Google Scholar] [CrossRef] [Green Version]
  71. Roolf, C.; Richter, A.; Konkolefski, C.; Knuebel, G.; Sekora, A.; Krohn, S.; Stenzel, J.; Krause, B.J.; Vollmar, B.; Murua Escobar, H.; et al. Decitabine demonstrates antileukemic activity in B cell precursor acute lymphoblastic leukemia with MLL rearrangements. J. Hematol. Oncol. 2018, 11, 62. [Google Scholar] [CrossRef]
  72. Xu, X.; Schneider, B. Therapeutic targeting potential of chromatin-associated proteins in MLL-rearranged acute leukemia. Cell. Oncol. 2019, 42, 117–130. [Google Scholar] [CrossRef] [PubMed]
  73. Winters, A.C.; Bernt, K.M. MLL-Rearranged Leukemias—An Update on Science and Clinical Approaches. Front. Pediatr. 2017, 5. [Google Scholar] [CrossRef] [PubMed]
  74. Stein, E.M.; Garcia-Manero, G.; Rizzieri, D.A.; Tibes, R.; Berdeja, J.G.; Savona, M.R.; Jongen-Lavrenic, M.; Altman, J.K.; Thomson, B.; Blakemore, S.J.; et al. The DOT1L inhibitor pinometostat reduces H3K79 methylation and has modest clinical activity in adult acute leukemia. Blood 2018, 131, 2661–2669. [Google Scholar] [CrossRef] [PubMed]
  75. Shukla, N.; Wetmore, C.; O’Brien, M.M.; Silverman, L.B.; Brown, P.; Cooper, T.M.; Thomson, B.; Blakemore, S.J.; Daigle, S.; Suttle, B.; et al. Final Report of Phase 1 Study of the DOT1L Inhibitor, Pinometostat (EPZ-5676), in Children with Relapsed or Refractory MLL-r Acute Leukemia. Blood 2016, 128, 2780. [Google Scholar] [CrossRef]
  76. Bhatla, T.; Wang, J.; Morrison, D.J.; Raetz, E.A.; Burke, M.J.; Brown, P.; Carroll, W.L. Epigenetic reprogramming reverses the relapse-specific gene expression signature and restores chemosensitivity in childhood B-lymphoblastic leukemia. Blood 2012, 119, 5201–5210. [Google Scholar] [CrossRef] [Green Version]
  77. Stumpel, D.J.P.M.; Schneider, P.; Seslija, L.; Osaki, H.; Williams, O.; Pieters, R.; Stam, R.W. Connectivity mapping identifies HDAC inhibitors for the treatment of t(4;11)-positive infant acute lymphoblastic leukemia. Leukemia 2012, 26, 682–692. [Google Scholar] [CrossRef]
  78. Garrido Castro, P.; van Roon, E.H.J.; Pinhanços, S.S.; Trentin, L.; Schneider, P.; Kerstjens, M.; te Kronnie, G.; Heidenreich, O.; Pieters, R.; Stam, R.W. The HDAC inhibitor panobinostat (LBH589) exerts in vivo anti-leukaemic activity against MLL-rearranged acute lymphoblastic leukaemia and involves the RNF20/RNF40/WAC-H2B ubiquitination axis. Leukemia 2018, 32, 323–331. [Google Scholar] [CrossRef]
  79. Andersson, A.K.; Ma, J.; Wang, J.; Chen, X.; Gedman, A.L.; Dang, J.; Nakitandwe, J.; Holmfeldt, L.; Parker, M.; Easton, J.; et al. The landscape of somatic mutations in infant MLL-rearranged acute lymphoblastic leukemias. Nat. Genet. 2015, 47, 330–337. [Google Scholar] [CrossRef]
  80. Prelle, C.; Bursen, A.; Dingermann, T.; Marschalek, R. Secondary mutations in t(4;11) leukemia patients. Leukemia 2013, 27, 1425–1427. [Google Scholar] [CrossRef]
  81. Agraz-Doblas, A.; Bueno, C.; Bashford-Rogers, R.; Roy, A.; Schneider, P.; Bardini, M.; Ballerini, P.; Cazzaniga, G.; Moreno, T.; Revilla, C.; et al. Unraveling the cellular origin and clinical prognostic markers of infant B-cell acute lymphoblastic leukemia using genome-wide analysis. Haematologica 2019, 104, 1176–1188. [Google Scholar] [CrossRef]
  82. Armstrong, S.A.; Staunton, J.E.; Silverman, L.B.; Pieters, R.; den Boer, M.L.; Minden, M.D.; Sallan, S.E.; Lander, E.S.; Golub, T.R.; Korsmeyer, S.J. MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemia. Nat. Genet. 2002, 30, 41–47. [Google Scholar] [CrossRef] [PubMed]
  83. Taketani, T.; Taki, T.; Sugita, K.; Furuichi, Y.; Ishii, E.; Hanada, R.; Tsuchida, M.; Sugita, K.; Ida, K.; Hayashi, Y. FLT3 mutations in the activation loop of tyrosine kinase domain are frequently found in infant ALL with MLL rearrangements and pediatric ALL with hyperdiploidy. Blood 2004, 103, 1085–1088. [Google Scholar] [CrossRef] [PubMed]
  84. Stam, R.W.; den Boer, M.L.; Schneider, P.; Meier, M.; Beverloo, H.B.; Pieters, R. D-HPLC analysis of the entire FLT3 gene in MLL rearranged and hyperdiploid acute lymphoblastic leukemia. Haematologica 2007, 92, 1565–1568. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Bardini, M.; Galbiati, M.; Lettieri, A.; Bungaro, S.; Gorletta, T.A.; Biondi, A.; Cazzaniga, G. Implementation of array based whole-genome high-resolution technologies confirms the absence of secondary copy-number alterations in MLL-AF4-positive infant ALL patients. Leukemia 2011, 25, 175–178. [Google Scholar] [CrossRef]
  86. Chillón, M.C.; Gómez-Casares, M.T.; López-Jorge, C.E.; Rodriguez-Medina, C.; Molines, A.; Sarasquete, M.E.; Alcoceba, M.; Miguel, J.D.G.-S.; Bueno, C.; Montes, R.; et al. Prognostic significance of FLT3 mutational status and expression levels in MLL-AF4+ and MLL-germline acute lymphoblastic leukemia. Leukemia 2012, 26, 2360–2366. [Google Scholar] [CrossRef]
  87. Guenther, M.G.; Lawton, L.N.; Rozovskaia, T.; Frampton, G.M.; Levine, S.S.; Volkert, T.L.; Croce, C.M.; Nakamura, T.; Canaani, E.; Young, R.A. Aberrant chromatin at genes encoding stem cell regulators in human mixed-lineage leukemia. Genes Dev. 2008, 22, 3403–3408. [Google Scholar] [CrossRef] [Green Version]
  88. Bueno, C.; Ayllón, V.; Montes, R.; Navarro-Montero, O.; Ramos-Mejia, V.; Real, P.J.; Romero-Moya, D.; Araúzo-Bravo, M.J.; Menendez, P. FLT3 activation cooperates with MLL-AF4 fusion protein to abrogate the hematopoietic specification of human ESCs. Blood 2013, 121, 3867–3878. [Google Scholar] [CrossRef] [Green Version]
  89. Brown, P.; Kairalla, J.; Wang, C.; Dreyer, Z.; Salzer, W.; Sorenson, M.; Borowitz, M.; Carroll, A.; Heerema, N.; Rao, K.; et al. Addition of FLT3 inhibitor lestaurtinib to post-induction chemotherapy does not improve outcomes in MLL-rearranged infant acute lymphoblastic leukemia (ALL): AALL0631, a Children’s Oncology Group study. Pediatr. Blood Cancer 2016, 63, S7–S10. [Google Scholar]
  90. Cooper, T.M.; Cassar, J.; Eckroth, E.; Malvar, J.; Sposto, R.; Gaynon, P.; Chang, B.H.; Gore, L.; August, K.; Pollard, J.A.; et al. A Phase I Study of Quizartinib Combined with Chemotherapy in Relapsed Childhood Leukemia: A Therapeutic Advances in Childhood Leukemia & Lymphoma (TACL) Study. Clin. Cancer Res. 2016, 22, 4014–4022. [Google Scholar]
  91. Smith, C.C.; Paguirigan, A.; Jeschke, G.R.; Lin, K.C.; Massi, E.; Tarver, T.; Chin, C.; Asthana, S.; Olshen, A.; Travers, K.J.; et al. Heterogeneous resistance to quizartinib in acute myeloid leukemia revealed by single-cell analysis. Blood 2017, 130, 48–58. [Google Scholar] [CrossRef]
  92. Hunger, S.P.; Loh, K.M.; Baker, K.S.; Schultz, K.R. Controversies of and unique issues in hematopoietic cell transplantation for infant leukemia. Boil. Blood Marrow Transplant. 2009, 15, 79–83. [Google Scholar] [CrossRef] [PubMed]
  93. Sison, E.A.R.; Brown, P. Does hematopoietic stem cell transplantation benefit infants with acute leukemia? Hematology ASH Educ. Program 2013, 2013, 601–604. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  94. Chessells, J.M.; Harrison, C.J.; Watson, S.L.; Vora, A.J.; Richards, S.M. Treatment of infants with lymphoblastic leukaemia: Results of the UK Infant Protocols 19871999. Br. J. Haematol. 2002, 117, 306–314. [Google Scholar] [CrossRef] [PubMed]
  95. Dreyer, Z.E.; Dinndorf, P.A.; Camitta, B.; Sather, H.; La, M.K.; Devidas, M.; Hilden, J.M.; Heerema, N.A.; Sanders, J.E.; McGlennen, R.; et al. Analysis of the Role of Hematopoietic Stem-Cell Transplantation in Infants With Acute Lymphoblastic Leukemia in First Remission and MLL Gene Rearrangements: A Report From the Children’s Oncology Group. J. Clin. Oncol. 2010, 29, 214–222. [Google Scholar] [CrossRef] [PubMed]
  96. Sanders, J.E.; Im, H.J.; Hoffmeister, P.A.; Gooley, T.A.; Woolfrey, A.E.; Carpenter, P.A.; Andrews, R.G.; Bryant, E.M.; Appelbaum, F.R. Allogeneic hematopoietic cell transplantation for infants with acute lymphoblastic leukemia. Blood 2005, 105, 3749–3756. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  97. Kosaka, Y.; Koh, K.; Kinukawa, N.; Wakazono, Y.; Isoyama, K.; Oda, T.; Hayashi, Y.; Ohta, S.; Moritake, H.; Oda, M.; et al. Infant acute lymphoblastic leukemia with MLL gene rearrangements: Outcome following intensive chemotherapy and hematopoietic stem cell transplantation. Blood 2004, 104, 3527–3534. [Google Scholar] [CrossRef] [PubMed]
  98. Marco, F.; Bureo, E.; Ortega, J.J.; Badell, I.; Verdaguer, A.; Martínez, A.; Muñoz, A.; Madero, L.; Olivé, T.; Cubells, J.; et al. High Survival Rate in Infant Acute Leukemia Treated With Early High-Dose Chemotherapy and Stem-Cell Support. J. Clin. Oncol. 2000, 18, 3256–3261. [Google Scholar] [CrossRef]
  99. Yu, W.; Qi-Fa, L.; Ya-Zhen, Q.; Dai-Hong, L.; Lan-Ping, X.; Bin, J.; Qian, J.; Min, D.; Si-Jian, Y.; Xin-Miao, J.; et al. Improved outcome with hematopoietic stem cell transplantation in a poor prognostic subgroup of patients with mixed-lineage-leukemia-rearranged acute leukemia: Results from a prospective, multi-center study. Am. J. Hematol. 2014, 89, 130–136. [Google Scholar] [CrossRef]
  100. Wetzler, M.; Dodge, R.K.; Mrózek, K.; Carroll, A.J.; Tantravahi, R.; Block, A.W.; Pettenati, M.J.; Le Beau, M.M.; Frankel, S.R.; Stewart, C.C.; et al. Prospective karyotype analysis in adult acute lymphoblastic leukemia: The cancer and leukemia Group B experience. Blood 1999, 93, 3983–3993. [Google Scholar]
  101. Thomas, X.; Boiron, J.; Huguet, F.; Dombret, H.; Bradstock, K.; Vey, N.; Kovacsovics, T.; Delannoy, A.; Fegueux, N.; Fenaux, P.; et al. Outcome of Treatment in Adults With Acute Lymphoblastic Leukemia: Analysis of the LALA-94 Trial. J. Clin. Oncol. 2004, 22, 4075–4086. [Google Scholar] [CrossRef]
  102. Konuma, T.; Mizuno, S.; Kondo, T.; Yamaguchi, H.; Fukuda, T.; Uchida, N.; Najima, Y.; Kanamori, H.; Ota, S.; Nakamae, H.; et al. Adult Acute Myeloid Leukemia Working Group of the Japan Society for Hematopoietic, Cell Transplantation Allogeneic hematopoietic cell transplantation in adult acute myeloid leukemia with 11q23 abnormality: A retrospective study of the Adult Acute Myeloid Leukemia Working Group of the Japan Society for Hematopoietic Cell Transplantation (JSHCT). Ann. Hematol. 2018, 97, 2173–2183. [Google Scholar] [CrossRef] [PubMed]
  103. Bassan, R.; Spinelli, O.; Oldani, E.; Intermesoli, T.; Tosi, M.; Peruta, B.; Rossi, G.; Borlenghi, E.; Pogliani, E.M.; Terruzzi, E.; et al. Improved risk classification for risk-specific therapy based on the molecular study of minimal residual disease (MRD) in adult acute lymphoblastic leukemia (ALL). Blood 2009, 113, 4153–4162. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  104. Leung, W.; Hudson, M.; Zhu, Y.; Rivera, G.K.; Ribeiro, R.C.; Sandlund, J.T.; Bowman, L.C.; Evans, W.E.; Kun, L.; Pui, C.H. Late effects in survivors of infant leukemia. Leukemia 2000, 14, 1185–1190. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  105. Horowitz, M.M.; Gale, R.P.; Sondel, P.M.; Goldman, J.M.; Kersey, J.; Kolb, H.J.; Rimm, A.A.; Ringdén, O.; Rozman, C.; Speck, B. Graft-versus-leukemia reactions after bone marrow transplantation. Blood 1990, 75, 555–562. [Google Scholar] [CrossRef] [Green Version]
  106. Dickinson, A.M.; Norden, J.; Li, S.; Hromadnikova, I.; Schmid, C.; Schmetzer, H.; Jochem-Kolb, H. Graft-versus-Leukemia Effect Following Hematopoietic Stem Cell Transplantation for Leukemia. Front. Immunol. 2017, 8, 496. [Google Scholar] [CrossRef]
  107. Tamai, H.; Miyake, K.; Yamaguchi, H.; Okabe, M.; Dan, K.; Inokuchi, K.; Shimada, T. MLL/AF4 Positive Acute Lymphoblastic Leukemia Has Resistance to Tumor Necrosis Factor-Alpha Caused by up-Regration of S100A6. Blood 2010, 116, 2477. [Google Scholar] [CrossRef]
  108. von Stackelberg, A.; Locatelli, F.; Zugmaier, G.; Handgretinger, R.; Trippett, T.M.; Rizzari, C.; Bader, P.; O’Brien, M.M.; Brethon, B.; Bhojwani, D.; et al. Phase I/Phase II Study of Blinatumomab in Pediatric Patients with Relapsed/Refractory Acute Lymphoblastic Leukemia. J. Clin. Oncol. 2016, 34, 4381–4389. [Google Scholar] [CrossRef]
  109. Zhao, Z.; Chen, Y.; Francisco, N.M.; Zhang, Y.; Wu, M. The application of CAR-T cell therapy in hematological malignancies: Advantages and challenges. Acta Pharm. Sin. B 2018, 8, 539–551. [Google Scholar] [CrossRef]
  110. Ramos, C.A.; Dotti, G. Chimeric antigen receptor (CAR)-engineered lymphocytes for cancer therapy. Expert Opin. Boil. Ther. 2011, 11, 855–873. [Google Scholar] [CrossRef]
  111. Zhang, C.; Liu, J.; Zhong, J.F.; Zhang, X. Engineering CAR-T cells. Biomark. Res. 2017, 5, 22. [Google Scholar] [CrossRef]
  112. An, N.; Tao, Z.; Li, S.; Xing, H.; Tang, K.; Tian, Z.; Rao, Q.; Wang, M.; Wang, J. Construction of a new anti-CD19 chimeric antigen receptor and the anti-leukemia function study of the transduced T cells. Oncotarget 2016, 7, 10638–10649. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  113. Townsend, M.H.; Shrestha, G.; Robison, R.A.; O’Neill, K.L. The expansion of targetable biomarkers for CAR T cell therapy. J. Exp. Clin. Cancer Res. 2018, 37, 163. [Google Scholar] [CrossRef] [PubMed]
  114. Scheuermann, R.H.; Racila, E. CD19 antigen in leukemia and lymphoma diagnosis and immunotherapy. Leuk. Lymphoma 1995, 18, 385–397. [Google Scholar] [CrossRef] [PubMed]
  115. O’Leary, M.C.; Lu, X.; Huang, Y.; Lin, X.; Mahmood, I.; Przepiorka, D.; Gavin, D.; Lee, S.; Liu, K.; George, B.; et al. FDA Approval Summary: Tisagenlecleucel for Treatment of Patients with Relapsed or Refractory B-cell Precursor Acute Lymphoblastic Leukemia. Clin. Cancer Res. 2019, 25, 1142–1146. [Google Scholar] [CrossRef]
  116. Park, J.; Riviere, I.; Wang, X.; Bernal, Y.; Purdon, T.; Halton, E.; Curran, K.; Sauter, C.; Sadelain, M.; Brentjens, R. Efficacy and safety of CD19-targeted 19-28z CAR modified T cells in adult patients with relapsed or refractory B-ALL. Haematologica 2015, 33, 7010. [Google Scholar] [CrossRef]
  117. Maude, S.L.; Frey, N.; Shaw, P.A.; Aplenc, R.; Barrett, D.M.; Bunin, N.J.; Chew, A.; Gonzalez, V.E.; Zheng, Z.; Lacey, S.F.; et al. Chimeric antigen receptor T cells for sustained remissions in leukemia. N. Engl. J. Med. 2014, 371, 1507–1517. [Google Scholar] [CrossRef]
  118. Jain, M.D.; Bachmeier, C.A.; Phuoc, V.H.; Chavez, J.C. Axicabtagene ciloleucel (KTE-C19), an anti-CD19 CAR T therapy for the treatment of relapsed/refractory aggressive B-cell non-Hodgkin’s lymphoma. Ther. Clin. Risk Manag. 2018, 14, 1007–1017. [Google Scholar] [CrossRef]
  119. Muhammad, N.; Mao, Q.; Xia, H. CAR T-cells for cancer therapy. Biotechnol. Genet. Eng. Rev. 2017, 33, 190–226. [Google Scholar] [CrossRef]
  120. Davila, M.L.; Riviere, I.; Wang, X.; Bartido, S.; Park, J.; Curran, K.; Chung, S.S.; Stefanski, J.; Borquez-Ojeda, O.; Olszewska, M.; et al. Efficacy and Toxicity Management of 19-28z CAR T Cell Therapy in B Cell Acute Lymphoblastic Leukemia. Sci. Transl. Med. 2014, 6, 224ra25. [Google Scholar] [CrossRef]
  121. Gardner, R.; Wu, D.; Cherian, S.; Fang, M.; Hanafi, L.; Finney, O.; Smithers, H.; Jensen, M.C.; Riddell, S.R.; Maloney, D.G.; et al. Acquisition of a CD19-negative myeloid phenotype allows immune escape of MLL-rearranged B-ALL from CD19 CAR-T-cell therapy. Blood 2016, 127, 2406–2410. [Google Scholar] [CrossRef] [Green Version]
  122. Qasim, W.; Zhan, H.; Samarasinghe, S.; Adams, S.; Amrolia, P.; Stafford, S.; Butler, K.; Rivat, C.; Wright, G.; Somana, K.; et al. Molecular remission of infant B-ALL after infusion of universal TALEN gene-edited CAR T cells. Sci. Transl. Med. 2017, 9, eaaj2013. [Google Scholar] [CrossRef] [PubMed]
  123. Haddox, C.L.; Mangaonkar, A.A.; Chen, D.; Shi, M.; He, R.; Oliveira, J.L.; Litzow, M.R.; Al-Kali, A.; Hogan, W.J.; Elliott, M.A. Blinatumomab-induced lineage switch of B-ALL with t(4:11)(q21;q23) KMT2A/AFF1 into an aggressive AML: Pre- and post-switch phenotypic, cytogenetic and molecular analysis. Blood Cancer J. 2017, 7, e607. [Google Scholar] [CrossRef] [PubMed]
  124. Shah, N.N.; Maatman, T.; Hari, P.; Johnson, B. Multi Targeted CAR-T Cell Therapies for B-Cell Malignancies. Front. Oncol. 2019, 9, 146. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  125. Lin, S.; Luo, R.T.; Ptasinska, A.; Kerry, J.; Assi, S.A.; Wunderlich, M.; Imamura, T.; Kaberlein, J.J.; Rayes, A.; Althoff, M.J.; et al. Instructive Role of MLL-Fusion Proteins Revealed by a Model of t(4;11) Pro-B Acute Lymphoblastic Leukemia. Cancer Cell 2016, 30, 737–749. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  126. Lucero, O.M.; Parker, K.; Funk, T.; Dunlap, J.; Press, R.; Gardner, R.A.; Chang, B.H. Phenotype switch in acute lymphoblastic leukaemia associated with 3 years of persistent CAR T cell directed-CD19 selective pressure. Br. J. Haematol. 2019, 186, 333–336. [Google Scholar] [CrossRef]
  127. Lin, S.; Luo, R.T.; Shrestha, M.; Thirman, M.J.; Mulloy, J.C. The full transforming capacity of MLL-Af4 is interlinked with lymphoid lineage commitment. Blood 2017, 130, 903–907. [Google Scholar] [CrossRef]
  128. Heidenreich, O.; Tirtakusuma, R.; Bomken, S.; Williamson, D.; Fordham, S.; McNeill, H.; Meyer, C.; Marschalek, R.; Vormoor, J.; Hall, A.; et al. The Genomic Landscape of Lineage Switch Acute Leukemia. Blood 2013, 122, 2552. [Google Scholar] [CrossRef]
  129. Jacoby, E.; Nguyen, S.M.; Fountaine, T.J.; Welp, K.; Gryder, B.; Qin, H.; Yang, Y.; Chien, C.D.; Seif, A.E.; Lei, H.; et al. CD19 CAR immune pressure induces B-precursor acute lymphoblastic leukaemia lineage switch exposing inherent leukaemic plasticity. Nat. Commun. 2016, 7, 12320. [Google Scholar] [CrossRef]
  130. Tirtakusuma, R.; Milne, P.; Ptasinska, A.; Meyer, C.; Nakjang, S.; Komkov, A.; Williamson, D.; Cauchy, P.; Assi, S.; Blair, H.; et al. Epigenetic Regulator Genes Direct the Fate of Multipotent Progenitor Cell of Origin in Lineage Switched MLL-AF4 Leukaemia. Available online: http:// dx.doi.org/10.2139/ssrn.3432467 (accessed on 23 October 2019).
  131. Cohen, A.; Petsche, D.; Grunberger, T.; Freedman, M.H. Interleukin 6 induces myeloid differentiation of a human biphenotypic leukemic cell line. Leuk. Res. 1992, 16, 751–760. [Google Scholar] [CrossRef]
  132. Bonifant, C.L.; Jackson, H.J.; Brentjens, R.J.; Curran, K.J. Toxicity and management in CAR T-cell therapy. Mol. Ther.-Oncolytics 2016, 3, 16011. [Google Scholar] [CrossRef]
  133. Grupp, S.A.; Kalos, M.; Barrett, D.; Aplenc, R.; Porter, D.L.; Rheingold, S.R.; Teachey, D.T.; Chew, A.; Hauck, B.; Wright, J.F.; et al. Chimeric Antigen Receptor–Modified T Cells for Acute Lymphoid Leukemia. N. Engl. J. Med. 2013, 368, 1509–1518. [Google Scholar] [CrossRef] [PubMed]
  134. Halliley, J.L.; Tipton, C.M.; Liesveld, J.; Rosenberg, A.F.; Darce, J.; Gregoretti, I.V.; Popova, L.; Kaminiski, D.; Fucile, C.F.; Albizua, I.; et al. Long-Lived Plasma Cells Are Contained within the CD19(−)CD38(hi)CD138(+) Subset in Human Bone Marrow. Immunity 2015, 43, 132–145. [Google Scholar] [CrossRef] [PubMed]
  135. Bhoj, V.G.; Arhontoulis, D.; Wertheim, G.; Capobianchi, J.; Callahan, C.A.; Ellebrecht, C.T.; Obstfeld, A.E.; Lacey, S.F.; Melenhorst, J.J.; Nazimuddin, F.; et al. Persistence of long-lived plasma cells and humoral immunity in individuals responding to CD19-directed CAR T-cell therapy. Blood 2016, 128, 360–370. [Google Scholar] [CrossRef] [PubMed]
  136. Garfall, A.L.; Maus, M.V.; Hwang, W.; Lacey, S.F.; Mahnke, Y.D.; Melenhorst, J.J.; Zheng, Z.; Vogl, D.T.; Cohen, A.D.; Weiss, B.M.; et al. Chimeric Antigen Receptor T Cells against CD19 for Multiple Myeloma. N. Engl. J. Med. 2015, 373, 1040–1047. [Google Scholar] [CrossRef] [PubMed]
  137. Nerreter, T.; Letschert, S.; Götz, R.; Doose, S.; Danhof, S.; Einsele, H.; Sauer, M.; Hudecek, M. Super-resolution microscopy reveals ultra-low CD19 expression on myeloma cells that triggers elimination by CD19 CAR-T. Nat. Commun. 2019, 10, 3137. [Google Scholar] [CrossRef] [PubMed]
  138. Walker, A.J.; Majzner, R.G.; Zhang, L.; Wanhainen, K.; Long, A.H.; Nguyen, S.M.; Lopomo, P.; Vigny, M.; Fry, T.J.; Orentas, R.J.; et al. Tumor Antigen and Receptor Densities Regulate Efficacy of a Chimeric Antigen Receptor Targeting Anaplastic Lymphoma Kinase. Mol. Ther. 2017, 25, 2189–2201. [Google Scholar] [CrossRef] [Green Version]
  139. Watanabe, K.; Kuramitsu, S.; Posey, A.D.; June, C.H. Expanding the Therapeutic Window for CAR T Cell Therapy in Solid Tumors: The Knowns and Unknowns of CAR T Cell Biology. Front. Immunol. 2018, 9, 2486. [Google Scholar] [CrossRef] [Green Version]
  140. Cox, C.V.; Evely, R.S.; Oakhill, A.; Pamphilon, D.H.; Goulden, N.J.; Blair, A. Characterization of acute lymphoblastic leukemia progenitor cells. Blood 2004, 104, 2919–2925. [Google Scholar] [CrossRef] [Green Version]
  141. Hofmann, S.; Schubert, M.; Wang, L.; He, B.; Neuber, B.; Dreger, P.; Müller-Tidow, C.; Schmitt, M. Chimeric Antigen Receptor (CAR) T Cell Therapy in Acute Myeloid Leukemia (AML). J Clin. Med 2019, 8, 200. [Google Scholar] [CrossRef]
  142. Pan, J.; Niu, Q.; Deng, B.; Liu, S.; Wu, T.; Gao, Z.; Liu, Z.; Zhang, Y.; Qu, X.; Zhang, Y.; et al. CD22 CAR T-cell therapy in refractory or relapsed B acute lymphoblastic leukemia. Leukemia 2019, 1–13. [Google Scholar] [CrossRef]
  143. Fry, T.J.; Shah, N.N.; Orentas, R.J.; Stetler-Stevenson, M.; Yuan, C.M.; Ramakrishna, S.; Wolters, P.; Martin, S.; Delbrook, C.; Yates, B.; et al. CD22-targeted CAR T cells induce remission in B-ALL that is naive or resistant to CD19-targeted CAR immunotherapy. Nat. Med. 2018, 24, 20–28. [Google Scholar] [CrossRef] [PubMed]
  144. Shah, N.N.; Stevenson, M.S.; Yuan, C.M.; Richards, K.; Delbrook, C.; Kreitman, R.J.; Pastan, I.; Wayne, A.S. Characterization of CD22 expression in acute lymphoblastic leukemia. Pediatr. Blood Cancer 2015, 62, 964–969. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  145. Jia, H.; Wang, Z.; Wang, Y.; Liu, Y.; Dai, H.; Tong, C.; Guo, Y.; Guo, B.; Ti, D.; Han, X.; et al. Haploidentical CD19/CD22 bispecific CAR-T cells induced MRD-negative remission in a patient with relapsed and refractory adult B-ALL after haploidentical hematopoietic stem cell transplantation. J. Hematol. Oncol. 2019, 12, 57. [Google Scholar] [CrossRef] [PubMed]
  146. Li, D.; Hu, Y.; Jin, Z.; Zhai, Y.; Tan, Y.; Sun, Y.; Zhu, S.; Zhao, C.; Chen, B.; Zhu, J.; et al. TanCAR T cells targeting CD19 and CD133 efficiently eliminate MLL leukemic cells. Leukemia 2018, 32, 2012–2016. [Google Scholar] [CrossRef] [PubMed]
  147. Mak, A.B.; Nixon, A.M.L.; Moffat, J. The mixed lineage leukemia (MLL) fusion-associated gene AF4 promotes CD133 transcription. Cancer Res. 2012, 72, 1929–1934. [Google Scholar] [CrossRef] [PubMed]
  148. Bueno, C.; Velasco-Hernandez, T.; Gutiérrez-Agüera, F.; Zanetti, S.R.; Baroni, M.L.; Sánchez-Martínez, D.; Molina, O.; Closa, A.; Agraz-Doblás, A.; Marín, P.; et al. CD133-directed CAR T-cells for MLL leukemia: On-target, off-tumor myeloablative toxicity. Leukemia 2019, 33, 2090–2125. [Google Scholar] [CrossRef] [PubMed]
  149. Bueno, C.; Montes, R.; Martín, L.; Prat, I.; Hernandez, M.C.; Orfao, A.; Menendez, P. NG2 antigen is expressed in CD34+ HPCs and plasmacytoid dendritic cell precursors: Is NG2 expression in leukemia dependent on the target cell where leukemogenesis is triggered? Leukemia 2008, 22, 1475–1478. [Google Scholar] [CrossRef]
  150. Lopez-Millan, B.; Sanchéz-Martínez, D.; Roca-Ho, H.; Gutiérrez-Agüera, F.; Molina, O.; de la Guardia, R.D.; Torres-Ruiz, R.; Fuster, J.L.; Ballerini, P.; Suessbier, U.; et al. NG2 antigen is a therapeutic target for MLL-rearranged B-cell acute lymphoblastic leukemia. Leukemia 2019, 33, 1557–1569. [Google Scholar] [CrossRef] [Green Version]
  151. Smith, F.O.; Rauch, C.; Williams, D.E.; March, C.J.; Arthur, D.; Hilden, J.; Lampkin, B.C.; Buckley, J.D.; Buckley, C.V.; Woods, W.G.; et al. The human homologue of rat NG2, a chondroitin sulfate proteoglycan, is not expressed on the cell surface of normal hematopoietic cells but is expressed by acute myeloid leukemia blasts from poor-prognosis patients with abnormalities of chromosome band 11q23. Blood 1996, 87, 1123–1133. [Google Scholar] [CrossRef]
  152. Harrer, D.C.; Schuler, G.; Dörrie, J.; Schaft, N. CSPG4-Specific CAR T Cells for High-Risk Childhood B Cell Precursor Leukemia. Int. J. Mol. Sci. 2019, 20, 2764. [Google Scholar] [CrossRef]
  153. Shimabukuro-Vornhagen, A.; Gödel, P.; Subklewe, M.; Stemmler, H.J.; Schlößer, H.A.; Schlaak, M.; Kochanek, M.; Böll, B.; von Bergwelt-Baildon, M.S. Cytokine release syndrome. J. Immunother. Cancer 2018, 6, 56. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  154. Brudno, J.N.; Kochenderfer, J.N. Toxicities of chimeric antigen receptor T cells: Recognition and management. Blood 2016, 127, 3321–3330. [Google Scholar] [CrossRef] [PubMed]
  155. Rosado, F.G.N.; Kim, A.S. Hemophagocytic LymphohistiocytosisAn Update on Diagnosis and Pathogenesis. Am J Clin. Pathol. 2013, 139, 713–727. [Google Scholar] [CrossRef] [PubMed]
  156. Billiau, A.D.; Roskams, T.; Van Damme-Lombaerts, R.; Matthys, P.; Wouters, C. Macrophage activation syndrome: Characteristic findings on liver biopsy illustrating the key role of activated, IFN-γ-producing lymphocytes and IL-6- and TNF-α-producing macrophages. Blood 2005, 105, 1648–1651. [Google Scholar] [CrossRef] [PubMed]
  157. Prudent, V.; Breitbart, W.S. Chimeric antigen receptor T-cell neuropsychiatric toxicity in acute lymphoblastic leukemia. Palliat. Support. Care 2017, 15, 499–503. [Google Scholar] [CrossRef] [Green Version]
  158. Brentjens, R.J.; Davila, M.L.; Riviere, I.; Park, J.; Wang, X.; Cowell, L.G.; Bartido, S.; Stefanski, J.; Taylor, C.; Olszewska, M.; et al. CD19-Targeted T Cells Rapidly Induce Molecular Remissions in Adults with Chemotherapy-Refractory Acute Lymphoblastic Leukemia. Sci. Transl. Med. 2013, 5, 177ra38. [Google Scholar] [CrossRef]
  159. Kochenderfer, J.N.; Dudley, M.E.; Feldman, S.A.; Wilson, W.H.; Spaner, D.E.; Maric, I.; Stetler-Stevenson, M.; Phan, G.Q.; Hughes, M.S.; Sherry, R.M.; et al. B-cell depletion and remissions of malignancy along with cytokine-associated toxicity in a clinical trial of anti-CD19 chimeric-antigen-receptor–transduced T cells. Blood 2012, 119, 2709–2720. [Google Scholar] [CrossRef]
  160. Weinkove, R.; George, P.; Dasyam, N.; McLellan, A.D. Selecting costimulatory domains for chimeric antigen receptors: Functional and clinical considerations. Clin. Transl. Immunol. 2019, 8, e1049. [Google Scholar] [CrossRef]
  161. Maude, S.L.; Laetsch, T.W.; Buechner, J.; Rives, S.; Boyer, M.; Bittencourt, H.; Bader, P.; Verneris, M.R.; Stefanski, H.E.; Myers, G.D.; et al. Tisagenlecleucel in Children and Young Adults with B-Cell Lymphoblastic Leukemia. N. Engl. J. Med. 2018, 378, 439–448. [Google Scholar] [CrossRef]
  162. Park, J.H.; Rivière, I.; Gonen, M.; Wang, X.; Sénéchal, B.; Curran, K.J.; Sauter, C.; Wang, Y.; Santomasso, B.; Mead, E.; et al. Long-Term Follow-up of CD19 CAR Therapy in Acute Lymphoblastic Leukemia. N. Engl. J. Med. 2018, 378, 449–459. [Google Scholar] [CrossRef]
Figure 1. The age distribution of 2345 patients with MLL rearrangements (MLL-r) by diagnosis (acute myeloid leukemia (AML) or acute lymphoblastic leukemia (ALL)), as analyzed by Meyer et al. [17]. Above, the distribution and prevalence of the most frequent MLL partner genes are subdivided on the basis of age groups in ALL and AML. Age groups are defined as: infant (0–2 years old), pediatric (2–18 years old), and adult (>18 years). Overall, AF4 is the one most frequent gene in the majority of the subgroups, with the exception of AML in all age groups, in which AF9 and AF10 prevail. Figure adapted from [17].
Figure 1. The age distribution of 2345 patients with MLL rearrangements (MLL-r) by diagnosis (acute myeloid leukemia (AML) or acute lymphoblastic leukemia (ALL)), as analyzed by Meyer et al. [17]. Above, the distribution and prevalence of the most frequent MLL partner genes are subdivided on the basis of age groups in ALL and AML. Age groups are defined as: infant (0–2 years old), pediatric (2–18 years old), and adult (>18 years). Overall, AF4 is the one most frequent gene in the majority of the subgroups, with the exception of AML in all age groups, in which AF9 and AF10 prevail. Figure adapted from [17].
Cells 08 01341 g001
Figure 2. The t(4;11)(q21;q23) rearrangement involving MLL. Schematic representation of the translocation between chromosomes 4 and 11 giving rise to the two derivative chromosomes der(4) and der(11) (A). The location of the fluorescence in situ hybridization (FISH) probe XL MLL (Metasystems) is also indicated on the normal chromosome 11, consisting of one green and one red signal flanking the MLL locus at 11q23. In the event of the translocation, the two signals split, indicating the disruption of the MLL locus. As a result, the der(11) retains the red signal proximal to MLL, while the der(4) will contain the green signal corresponding to the distal portion of MLL. These patterns are visible in a representative metaphase from the RS4;11 cell line, known to harbor a t(4;11)(q23;q21), hybridized with the XL MLL probe (B). The same rearrangement is shown in (C), obtained by G-banding.
Figure 2. The t(4;11)(q21;q23) rearrangement involving MLL. Schematic representation of the translocation between chromosomes 4 and 11 giving rise to the two derivative chromosomes der(4) and der(11) (A). The location of the fluorescence in situ hybridization (FISH) probe XL MLL (Metasystems) is also indicated on the normal chromosome 11, consisting of one green and one red signal flanking the MLL locus at 11q23. In the event of the translocation, the two signals split, indicating the disruption of the MLL locus. As a result, the der(11) retains the red signal proximal to MLL, while the der(4) will contain the green signal corresponding to the distal portion of MLL. These patterns are visible in a representative metaphase from the RS4;11 cell line, known to harbor a t(4;11)(q23;q21), hybridized with the XL MLL probe (B). The same rearrangement is shown in (C), obtained by G-banding.
Cells 08 01341 g002
Figure 3. Interaction between anti-CD19 CAR-T cell receptor and CD19 antigen-presenting tumor cell. Chimeric antigen receptors on the anti-CD19 CAR-T cells consist of extracellular, transmembrane, and endodomain/intracytoplasmic regions, which are inserted into T cells to form an antigen recognition domain for a chosen target. This antigen recognition site is connected to the intracellular components, which triggers the activation of the T cell when in contact with the target antigen to destroy the tumor cell via cytokine killing. The single chain variable fragment (scFv) in a CAR is a chimeric protein consisting of the variable domains of the light and heavy chains of an antibody/immunoglobulin bound by a linker peptide. Its function is to recognize and bind to the chosen tumor-specific antigen. The spacer provides the bridge between the scFv and the transmembrane domain [109,110,111,112].
Figure 3. Interaction between anti-CD19 CAR-T cell receptor and CD19 antigen-presenting tumor cell. Chimeric antigen receptors on the anti-CD19 CAR-T cells consist of extracellular, transmembrane, and endodomain/intracytoplasmic regions, which are inserted into T cells to form an antigen recognition domain for a chosen target. This antigen recognition site is connected to the intracellular components, which triggers the activation of the T cell when in contact with the target antigen to destroy the tumor cell via cytokine killing. The single chain variable fragment (scFv) in a CAR is a chimeric protein consisting of the variable domains of the light and heavy chains of an antibody/immunoglobulin bound by a linker peptide. Its function is to recognize and bind to the chosen tumor-specific antigen. The spacer provides the bridge between the scFv and the transmembrane domain [109,110,111,112].
Cells 08 01341 g003
Figure 4. Cycle of the procedure of CAR-T cell production and infusion. Commencing with the harvesting of peripheral blood, from which T cells are separated by leukapheresis. The T lymphocytes are transfected by a viral or non-viral vector, e.g., retrovirus, carrying the genes encoding the CAR sequence in order to modify the T cells with the CAR component. The CAR-T cells undergo expansion and are then infused into the patient.
Figure 4. Cycle of the procedure of CAR-T cell production and infusion. Commencing with the harvesting of peripheral blood, from which T cells are separated by leukapheresis. The T lymphocytes are transfected by a viral or non-viral vector, e.g., retrovirus, carrying the genes encoding the CAR sequence in order to modify the T cells with the CAR component. The CAR-T cells undergo expansion and are then infused into the patient.
Cells 08 01341 g004
Table 1. Advantages and disadvantages of the application of CAR-T cell therapy in the treatment of B-cell acute lymphoblastic leukemia (B-ALL).
Table 1. Advantages and disadvantages of the application of CAR-T cell therapy in the treatment of B-cell acute lymphoblastic leukemia (B-ALL).
AdvantagesDisadvantages/Challenges
Independent of HLA and major histocompatibility complexToxicity/Neurotoxicity:
Cytokine-release syndrome
Macrophage activation syndrome/Hemophagocytic lymphohistiocytosis
Anaphylaxis
Avoid majority of unnecessary killing of healthy tissueLysis of some healthy cells expressing the target antigen
Numerous accounts of efficacy Antigen escape/Lineage switch
Personalized treatment (many potential target antigens)CAR-T cell persistence
Treatment of advanced ALL when there are no other effective available optionsCost of treatment is very high in addition to the need for hospitalization of the patients and close observation during and after treatment
Current regulatory approved age restriction of <25 and >1 year old limits accessibility to more patients

Share and Cite

MDPI and ACS Style

Britten, O.; Ragusa, D.; Tosi, S.; Mostafa Kamel, Y. MLL-Rearranged Acute Leukemia with t(4;11)(q21;q23)—Current Treatment Options. Is There a Role for CAR-T Cell Therapy? Cells 2019, 8, 1341. https://doi.org/10.3390/cells8111341

AMA Style

Britten O, Ragusa D, Tosi S, Mostafa Kamel Y. MLL-Rearranged Acute Leukemia with t(4;11)(q21;q23)—Current Treatment Options. Is There a Role for CAR-T Cell Therapy? Cells. 2019; 8(11):1341. https://doi.org/10.3390/cells8111341

Chicago/Turabian Style

Britten, Oliver, Denise Ragusa, Sabrina Tosi, and Yasser Mostafa Kamel. 2019. "MLL-Rearranged Acute Leukemia with t(4;11)(q21;q23)—Current Treatment Options. Is There a Role for CAR-T Cell Therapy?" Cells 8, no. 11: 1341. https://doi.org/10.3390/cells8111341

APA Style

Britten, O., Ragusa, D., Tosi, S., & Mostafa Kamel, Y. (2019). MLL-Rearranged Acute Leukemia with t(4;11)(q21;q23)—Current Treatment Options. Is There a Role for CAR-T Cell Therapy? Cells, 8(11), 1341. https://doi.org/10.3390/cells8111341

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop