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Mirandari, A.; Oscier, D.; Stamatopoulos, K.; Strefford, J. The Genomics of Hairy Cell Leukaemia. Encyclopedia. Available online: https://encyclopedia.pub/entry/20422 (accessed on 22 December 2024).
Mirandari A, Oscier D, Stamatopoulos K, Strefford J. The Genomics of Hairy Cell Leukaemia. Encyclopedia. Available at: https://encyclopedia.pub/entry/20422. Accessed December 22, 2024.
Mirandari, Amatta, David Oscier, Kostas Stamatopoulos, Jonathan Strefford. "The Genomics of Hairy Cell Leukaemia" Encyclopedia, https://encyclopedia.pub/entry/20422 (accessed December 22, 2024).
Mirandari, A., Oscier, D., Stamatopoulos, K., & Strefford, J. (2022, March 10). The Genomics of Hairy Cell Leukaemia. In Encyclopedia. https://encyclopedia.pub/entry/20422
Mirandari, Amatta, et al. "The Genomics of Hairy Cell Leukaemia." Encyclopedia. Web. 10 March, 2022.
The Genomics of Hairy Cell Leukaemia
Edit

Hairy cell leukaemia is a rare chronic lymphoid malignancy with distinctive clinical and laboratory features which include an enlarged spleen, low blood counts, and infiltration of the spleen and bone marrow, with lymphocytes that have a villous or hairy cytoplasmic border. Historically it has been responsive to a range of treatment modalities including splenectomy, alpha interferon, and more recently chemotherapy, but none are curative. The Genomics of hairy cell leukaemia involves the chromosome abnormalities, genomic mutations, DNA methylation patterns, and immunoglobulin gene usage in this disease.

hairy cell leukaemia HCLc HCLv SDRPL BRAFV600E Tbet

1. Introduction

The 2017 WHO classification of haematological malignancies recognises classical hairy cell leukaemia (HCLc) as a discrete entity and its variant form (HCLv) and splenic diffuse red pulp lymphoma (SDRPL) as provisional entities [1]. HCLc is a rare chronic lymphoproliferative disorder, with an incidence of 0.4/100,000. It is approximately four times more common in men than women and typically presents in middle age, with fatigue, infections, and abdominal discomfort due to splenomegaly. A complete blood count frequently shows cytopenia with almost universal monocytopenia, and a blood film usually reveals small numbers of medium-sized lymphoid cells with a ‘kidney-shaped nucleus’, infrequent nucleoli, weakly basophilic cytoplasm, and hairy projections. A modest lymphocytosis is seen in 5–10% of cases. Splenic histology shows diffuse infiltration of the red pulp with atrophy of the white pulp, a pattern also seen in HCLv and SDRPL, in contrast to the predominant white pulp involvement found in Splenic Marginal Zone Lymphoma (SMZL). Although originally believed to represent a tumour of haemopoietic progenitor reticuloendothelial cells [2], immunophenotyping identified HCLc as a tumour of mature B cells, typically expressing CD19, CD20, CD200, Tbet, PD1, and four markers of diagnostic value: CD11c and CD103, components of integrin receptors, and CD25 and CD123, components of interleukin receptors, of which at least three are expressed in all cases. Hairy cells do not express CD5 or CD27. Immunohistochemistry of bone marrow trephines additionally shows the expression of cyclin D1, CD72 (DBA-44), and Annexin A1, a specific marker for HCLc among B-cell malignancies, while bone marrow aspiration is usually unsuccessful due to the presence of reticulin fibrosis [3][4].
HCLv has an incidence of 0.04/100,000, a median age at presentation of 70 years, and a male-to-female ratio of 1.5–2. It was first described in 1980 in two patients with bulky splenomegaly, a marked leucocytosis with villous lymphocytes, and splenic histology showing red pulp involvement similar to that seen in HCLc, together with a number of distinctive features not found in HCLc. These include the absence of monocytopenia, larger tumour cells with prominent nucleoli, and bone marrow that is easy to aspirate due to absence or minimal marrow reticulin. Immunophenotyping shows the expression of CD19, CD20, and of the four archetypal HCLc markers, only CD11c and CD103 are commonly expressed, while CD25, CD123, and CD200 are negative or only weakly expressed. Immunohistochemistry shows the expression of CD72 but not annexin A1, and cyclin D1 is negative or weak [5][6].
In 2008, the term SDRPL was introduced to describe a further type of splenic lymphoma with circulating villous lymphocytes [7]. The frequency of SDRPL has not been established in the general population but represented 9% of splenic B-cell lymphomas seen in a 12-year period reviewed at the Spanish National Cancer Research Centre [8]. The clinical and laboratory features overlap those seen in HCLv, but the tumour cells generally lack a prominent nucleolus, and patients pursue a more indolent clinical course. Key demographic, morphological, phenotypic, and clinical differences between the three disorders are shown in Table 1.
Table 1. Key Differences between HCLc, HCLv, and SDRPL.
    HCLc HCLv SDRPL
Demographics Incidence 0.4/100,000 0.03/100,000 ?
Median age 55–63 70 70
M:F ratio 3–4: 1 1–2: 1 1.6–2.4: 1
Haematology Monocytopenia Yes No No
Nucleolus Inconspicuous Single prominent Inconspicuous
Immunophenotype Surface IgH Usually, multiple isotypes Usually IgG +/− other isotypes M+/−D, M+G, G
CD11c Strong Strong Moderate
CD25 Strong Negative Negative (weak in 3%)
CD103 Strong Moderate Negative (weak in 33%)
CD123 Strong Negative Negative (weak in 15%)
CD27 Negative ? Negative (positive in 20%)
CD200 Strong Weak or negative Weak
Immunohistochemistry Annexin A1 Positive Negative Negative
  Cyclin D1 Positive Negative Negative
Outcome Need for treatment Yes Yes Approx. 50%

2. Hairy Cell Leukaemia

2.1. BRAF V600E Mutations

The whole-exome sequencing of a single case of HCLc led to the discovery of a single somatic, point mutation in the DNA sequence of v-Raf murine sarcoma viral oncogene homolog B (BRAF), a kinase-encoding proto-oncogene. The same mutation was subsequently found in all 47 additional cases studied. The mutation replaces thymine (T) with adenine (A) in exon 15 of BRAF at position 1799 of the gene-coding sequence located in chromosome 7q34. In turn, this produces an amino acid change from valine (V) to glutamate (E) at position 600 (V600E) of the protein sequence, ultimately leading to aberrant activation of the BRAF oncogenic kinase and, thus, of the downstream MEK–ERK signalling pathway, such that ERK phosphorylation (pERK), detectable by immunohistochemistry, is a ubiquitous finding in BRAF-V600E positive HCLc [9][10]. The BRAF-V600E mutation in HCL is clonal and heterozygous, except in a minority of patients who lose the wild-type allele as a result of a concomitant 7q deletion [11]. Details of the RAS–RAF–MEK–ERK pathway and the BRAF protein with the site of the BRAFV600E mutation are shown in Figure 1 and Figure 2, respectively, and described in the accompanying legends.
Cancers 14 00697 g001
Figure 1. The RAS–RAF–MEK–ERK signal transduction cascade is one of four mitogen-activated protein kinase (MAPK) cascades which are activated in response to extracellular signals. RAS activation occurs within biomolecular condensates at the inner part of the cell membrane and recruits members of the RAF kinase family (A-RAF, B-RAF, and C-RAF/RAF-1) to the plasma membrane for activation. Active RAF kinases phosphorylate downstream mitogen-activated protein kinase/extracellular signal-regulated kinase ERK kinase (MEK). A transient tetramer, consisting of two RAF-MEK dimers, is formed to facilitate MEK activation by RAF. Active MEK then dually phosphorylates its only downstream targets, extracellular signal-related kinases 1 and 2 (ERK1/2). In contrast, ERK1/2 has extremely broad substrate specificity and is capable of activating both nuclear and cytosolic targets, many of which are transcription factors essential for the regulation of cell proliferation, survival, growth, metabolism, migration, and differentiation. In addition, ERKs also phosphorylate RAFs themselves at specific inhibitory amino acid residues, which releases RAF from RAS and extinguishes the signal via a negative feedback mechanism [12][13]. Created with Biorender.com (accessed on 28 December 2021).
Cancers 14 00697 g002
Figure 2. The BRAF protein includes three highly conserved regions—CR1 which functions as an auto-inhibitor of the BRAF kinase domain and contains a RAS-GTP binding domain (RBD), CR2 which acts as a flexible hinge between CR1 and CR3, and CR3, the kinase domain, which comprises multiple subregions including the P loop, the dimerisation interface (DIF), the DFG motif, and the activation segment. In the wild-type protein, inactive RAF exists in an auto-inhibited state. Under activating conditions, RAS-GTP binds to the RBD, disrupting auto-inhibition. BRAF is then phosphorylated at T599 and S602 within the DFG motif and activation segments, destabilising interactions with the P loop and allowing the activation segment to flip into its active conformation. The majority of BRAF mutants are located within either the P loop or the activation segment and adjacent DFG motif. The BRAF-V600E mutation occurs in the kinase activation segment, thereby inducing a change to the active conformation independently from upstream RAS activation. This results in constitutive kinase activity and aberrant signalling through the RAF–MEK–ERK pathway [14][15]. Created with Biorender.com (accessed on 28 December 2021).
BRAF mutations are found in a wide range of both solid and haematopoietic tumours, with a particularly high incidence in benign melanocytic nevi, malignant melanoma, papillary carcinoma of the thyroid [16], and the primary histiocytic disorders, Langerhans cell histiocytosis (LCH) and Erdheim–Chester disease (ECD) [17][18]. The clinical and biological consequences of BRAF mutations are highly variable and include the induction of a senescent phenotype, oncogenic transformation, and the emergence of secondary histiocytic sarcomas in a variety of acute or chronic, B or T cell, leukaemia, or lymphomas [19][20][21]. This variability may reflect the acquisition of additional genomic abnormalities such as the inactivation of cell cycle inhibitors, and the differentiation stage, transcriptomic and epigenetic features of the cell type in which the BRAF mutation arises [22][23].

2.1.1. Haematopoietic Stem Cell Origin of BRAFV600E Mutation in HCLc

To identify the cell population from which the BRAFV600E mutation arises, immunophenotypically distinct CD34+, CD38− lineage-negative cells which encompass haemopoietic stem cells (HSCs) and their immediate multipotent progenitors [24][25], CD34+, CD38+ pro-B cells, myeloid progenitor cells, and HCLc cells were isolated with >97% purity from the bone marrow of 14 HCLc patients and age-matched controls [26].
HCLc patients were characterised by an expansion of HSCs and a marked decrease in the frequency of granulocyte-macrophage progenitor cells, consistent with the neutropenia and monocytopenia characteristics of HCLc. The BRAFV600E mutation was identified in the HSC, pro-B cell, and HCL cell populations, and quantitative sequencing analysis revealed a mean BRAFV600E-mutant allele frequency of 4.97% in the HSCs. Furthermore, in one patient who also had chronic lymphocytic leukaemia (CLL), the BRAFV600E mutation was present in both tumour cell populations, consistent with the mutation arising in a common precursor. To identify additional co-occurring genetic lesions that might cooperate with the BRAFV600E mutation to promote haematopoietic transformation, targeted mutational analysis was performed on HCL cells from three patients in whom the BRAFV600E mutation had been detected in HSCs. An additional ARID1A or KMT2C mutation was present in the leukemic cells but not the HSCs of 2/3 cases. HCLc patients treated with vemurafenib showed restoration of normal myelopoiesis, demonstrating that the impaired myeloid differentiation in HCL is dependent on mutant BRAFV600E signalling. This raises the question as to whether the clinical response to BRAF inhibitors may be mediated through their effects on mature leukemic cells, as well as through targeted inhibition of signalling and survival in mutant HSPCs.
Although both arise from HSCs, the co-existence of HCLc and LCH in the same patient has rarely been reported [27], possibly reflecting the different skewing of BRAFV600E mutant HPC differentiation in mouse models along lymphoid or myeloid pathways in HCLc and LCH, respectively. [26][28][29].

2.1.2. Biological Consequences of the BRAFV600E Mutation in HCLc

The biology of HCLc reflects both cell-intrinsic factors as well as interactions with antigen(s), the extracellular matrix, the multiple cell types, and their secreted products present in the tissue microenvironment (TME) [30][31]. To ascertain the contribution of mutant BRAF to the HCLc phenotype, hairy cells from 26 patients were exposed in vitro to the specific BRAF inhibitors, vemurafenib or dabrafenib, or the MEK inhibitor trametinib. This resulted in the silencing of a gene expression signature which is specific to HCLc among B-cell tumours, with downregulation of genes including CCND1CD25, and feedback inhibitors of ERK signalling such as members of the dual-specificity phosphatase (DSP) gene family. Additionally, BRAF or MEK inhibition caused loss of the hairy morphology and induced apoptosis which could be partially abrogated by co-culture with a bone marrow stromal cell line. BRAF and MEK inhibitors did not elicit any of the above-described biological effects in leukemic cells from four cases with HCLv, although the MAP2K1 mutation status of these cases was not documented [32][33][34].

2.2. Other Genomic Abnormalities

The most frequent cytogenetic and genomic abnormalities and immunogenetic features found in BRAFV600E mutated HCLc, BRAF WT HCLc, HCLv, and SDRPL are summarised in Table 2.
Table 2. Most frequent features of HCLc, HCLv, and SDRPL.
  HCLc HCLv SDRPL
HCLc BRAF
WT
HCLc BRAF
Mutated or Upregulated
Recurring CNAs * 7q Loss   Y Y Y
8q Loss
(MAPK15)
  Y N N
17p Loss   Rare Y Rare
X or Xp Loss
(BCOR)
  N N Y
5q Gain   Y Y N
Genomic
Mutations
MAPK Pathway BRAFV600E 0% >99% 0% 0%
MAP2K1 22% 0% 22–41% 7–13%
Cell Cycle CDKN1B   16%    
CCND3   0% 13% 21–24%
Epigenetic Regulators ** KMT2C   15% 25%  
KDM6A   0% 50%  
CREBBP   5% 12–25%  
ARID1A   4% 4% 9%
Transcriptional Repressors BCOR   0% 0% 16%
NFKβ Pathway KLF2   13% 0% 2%
Spliceosome U2AF1   0% 2/7 0%
TP53   2%    
IGHV Genes Homology 100%   <5% 18–22% 11%
98–100%   17–20% 27–53% 14%
<98%   80% 47–73% 86%
Gene Usage IGHV3-23   7–10%   14%
IGHV3-30   7–10%   6%
IGHV4-34 50% 7–10% 17–36% 22%
* % incidence of CNAs is not provided due to wide variations among studies. ** % incidence of mutations in epigenetic regulators is based on small samples.

2.3. Germline Variants

Familial HCLc exhibits similar clinical features to sporadic HCLc but is rare, with fewer than 20 families reported. Four multiplex HCLc pedigrees were recently screened for shared germline variants, conferring HCLc susceptibility. Although there was only limited overlap between the pedigrees on a variant or gene level, several functional pathways such as neutrophil-mediated immunity and G-protein-coupled receptor signalling were shared in 3/4 and MAPK and RAS signalling in 2/4 pedigrees, respectively [35].

2.4. DNA Methylation Profile

DNA methylation profiling was analysed with the low-resolution Infinium Human Methylation27 array in 11 cases of BRAFV600E mutated HCLc, together with cases of CLL, SMZL, and normal B-cell subsets. HCLc had a distinct global methylation profile which, nevertheless, was more closely related to SMZL than to CLL and to normal post germinal centre (GC) memory B cells and marginal zone B cells than to pre-GC and GC B cells. An integrated analysis of the HCL methylation profile and the previously published gene expression profile showed an inverse correlation between gene expression and methylation, alluding to a role for DNA promoter methylation in the regulation of specific gene expression. Gene expression patterns were consistent with constitutive activation of the RAS–RAF–MEK–ERK pathway and also affected pathways involved in the homing, migration, and survival of HCL cells [36].

2.5. Immunogenetic Features

The analysis of immunoglobulin gene repertoires in B-cell malignancies has provided key insights into their ontogeny, including their cell(s) of origin, the role and nature of antigenic stimulation in tumour development and evolution; moreover, in some diseases, especially CLL, IGHV gene SHM status has prognostic and predictive value [37].
While the majority of cases of HCLc have mutated IGHV genes, 17–20% are unmutated using a 98% cut-off and <5% have completely unmutated IGHV genes, with 100% identity to the germline. Compared with the normal B-cell repertoire [38], there is biased usage of the IGHV3-21, IGHV3-30, IGHV3-33, and IGHV4-34 genes, each found in 7–10% of cases, with preferential use of IGHV3-30 and IGHV4-34, especially among the unmutated cases. Biased usage of IGHD genes has also been documented [39][40][41][42].
While kappa is the most frequently used immunoglobulin light chain in the normal B-cell repertoire and in other B-cell tumours, HCLc is associated with preferential use of lambda light chains, resulting in an inverted Igκ:Igλ ratio (0.7:1). The explanation for this is unclear but may derive from secondary IG light chain gene rearrangements as part of receptor editing, a physiological process leading to the pairing of the authentic heavy chain with a novel light chain as a means to alleviate intense autoreactivity.
While there is much less diversity within the light chain, compared with the heavy chain repertoire, there is evidence of biased usage in HCLc, as virtually all cases that express lambda light chains utilise the IGLJ3 gene. All of the above features support a role for antigen selective pressure in tumour ontogeny. Moreover, the presence of intra-clonal diversification within the clonotypic IG genes indicates that ongoing SHM occurs post-transformation likely in a context of continuous interactions with antigen(s).
An unusual feature of HCLc is the expression of multiple IGH isotypes on the cell surface, documented in 40% to over 80% of cases. Single-cell analysis has confirmed that this phenomenon is attributable to the expression of multiple isotypes in individual cells rather than to clonal heterogeneity [43]. The expression of multiple CH isotypes, including IgM with IgG or IgA, has also been reported in HCLv and SDRPL, although it has not been demonstrated if they are expressed in single cells. If so, this might point to a microenvironmental factor.
A further anomalous immunogenetic feature of HCLc is an increased incidence of cells expressing both IG kappa and lambda light chains. Dual expression of IG K and L light chains is rare in health, documented in only 0.2–0.5% of B cells from five normal controls [44]. The functional consequences of dual kappa and lambda light-chain expression are still unknown. That notwithstanding, evidence exists that compromised allelic exclusion leading to dual kappa/lambda expression might allow autoreactive cells to avoid clonal deletion, a mechanism described by the term receptor dilution [45].

2.6. Biological Implications: Cell of Origin

The stem cell origin of the clonal BRAFV600E mutation in HCLc, together with the induction of a lethal haematopoietic disorder with features of HCLc in BRAFV600E mice [26], are consistent with the role of BRAFV600E as an early/initiating event in hairy cell leukemogenesis. However, there remains uncertainty about the nature of the mature B-cell population(s) expanded in HCLc and whether additional genetic and/or epigenetic alterations or a suitable TME are required to give rise to mature HCL cells. Dysregulation of the G1 phase of the cell cycle is a common finding in HCLc, but as yet, no subsequent genomic final transforming event has been discovered.
Data relevant to determining the COO in HCLc include the following:
  • The presence of mutated IGHV genes, with evidence for antigen selection, in the majority of cases and preferential use of the IGHV4-34 gene in the minority of cases with low or no SHM;
  • A gene expression profile and methylome more similar to that of CD27 positive memory and marginal zone B cells than to naïve or germinal centre B cells [32][46];
  • A phenotype which includes expression of CD11c+, Tbet+, and PD1+ but not CD27 [47][48][49][50].

This phenotype also delineates a subset of normal B cells present in blood and splenic red pulp but rarely in lymph nodes. CD11c+, Tbet+ B cell numbers increase with age and are expanded in conditions associated with chronic antigenic stimulation such as infections with human immunodeficiency virus and malaria, and in autoimmune diseases such as SLE. However, the CD11c+ Tbet+ phenotype does not, by itself, identify a distinct B-cell population, nor a specific B-cell lineage, and can be found in activated naïve B cells and in memory B cells believed to be generated through follicular or extra-follicular maturation pathways [51][52][53][54][55][56][57]. It would be interesting to analyze the transcriptomic and methylation data in HCLc using normal splenic CD11c+ Tbet+ CD27- cells rather than CD27+ memory B cells as the comparator. However, currently, and as in CLL despite extensive studies [58], the COO of HCLc remains enigmatic.

2.7. Clinical Implications of Genetic Features

2.7.1. Diagnosis

The initial description of BRAFV600E in HCLc failed to find the same mutation in 195 cases of other mature B-cell tumours including CLL, follicular lymphoma, DLBCL, and other splenic lymphomas [9]. However, subsequent screening of larger cohorts of CLL and myeloma for both BRAFV600E and other BRAF hotspot mutations has identified a low incidence of predominantly subclonal V600E and non V600E BRAF mutations, usually associated with a poorer outcome [59][60][61][62][63].
Whilst a confident diagnosis of HCLc can be made without knowledge of the BRAF mutation status, the specificity of the BRAFV600E mutation for HCLc among splenic lymphomas is valuable when there is diagnostic uncertainty, and its presence underpins the use of targeted inhibitors. If it emerges that widely available diagnostic criteria are unable to distinguish BRAFV600E HCLc from BRAFWT HCLc, this would provide an additional rationale for BRAFV600E mutation screening. Allele-specific PCR performed on blood or marrow aspirate samples has superseded less sensitive molecular techniques such as Sanger sequencing, pyrosequencing, or melting curve analysis [64]. Digital, droplet PCR has comparable specificity and superior sensitivity to QT–PCR and is a potential method for MRD analysis [65]. Immunohistochemistry (IHC) using a BRAFV600E-specific antibody is an alternative method suitable for bone marrow trephine or other tissue sections, with comparable sensitivity and specificity to allele-specific PCR. Next-generation sequencing (NGS) also has high sensitivity but, currently, also has higher costs and longer turnaround time, compared with allele-specific tests [66].

2.7.2. Prognostic Significance of IGHV Gene Somatic Hypermutation Status

The clinical significance of IGHV gene SHM status in HCLc has been evaluated in two studies with discordant results. In a trial of single-agent cladribine in 58 previously untreated patients, all expressing annexin A1, failure to respond was observed in 5/6 patients with unmutated IGHV genes using a 98% cut-off value, only one of whom used IGHV4-34. Bulky splenomegaly, leucocytosis, and TP53 abnormalities were present in four, three, and two of the five cases, respectively [40].
In a cohort of 62 patients with HCLc and 20 with HCLv diagnosed according to the WHO 2008 criteria [67], IGHV4-34 was used in 6 (10%) of HCLc and 8 (40%) of HCLv cases, respectively, and was unmutated in all but 1 case, using a 98% cut-off value. A suboptimal response to first-line treatment with cladribine was seen in 4/6 IGHV4-34 HCLc positive cases, compared with 4/56 IGHV4-34 negative cases. A worse response was also seen in IGHV4-34 positive HCLv cases, suggesting that outcome was more closely related to IGHV4-34 status than to whether or not patients had HCL or HCLv. However, many of the HCLc cases were BRAFV600E negative [68].

2.7.3. BRAFV600E as a Therapeutic Target

The purine nucleoside analogues (PNAs), pentostatin, and cladribine remain the current treatment of choice for first-line therapy of HCLc. However, PNAs may cause short-term myelosuppression, with an increased risk of infection and an increased risk of secondary malignancies, and approximately 50% of patients eventually relapse. Single-agent vemurafenib or dabrafenib resulted in high overall response rates without minimal/measurable residual disease (MRD) negativity in relapsed/refractory HCL, but the median relapse-free survival in responders was less than 1 year [69][70]. In contrast, a phase II study of vemurafenib plus rituximab achieved a CR rate of 87%, of whom 65% were MRD negative and with relapse-free survival of 85% at a median follow-up of 34 months [71].

2.7.4. Genomic Abnormalities as Predictors of Drug Resistance

  • To PNAs
Targeted mutational and copy number analysis showed no difference in the pattern of genomic abnormalities between treatment naïve cases and those refractory to a PNA [11]. Serial samples from two HCL-c cases tested both at diagnosis and relapse post-PNA therapy, revealed two additional subclonal mutations of BCOR (BCORE1430X) and XPO1 (XPO1E571K) in one case, while the second case remained genomically stable [72]. However, there is no clear evidence to suggest that genomic mutations confer resistance to PNAs in HCLc.
  • To BRAF Inhibitors
Of 13 evaluable HCLc cases treated with vemurafenib, 6 showed persistence of ERK phosphorylation in bone marrow cells, suggesting that, in at least some patients, the growth of HCL cells remains dependent on MEK–ERK signalling, likely reactivated through mechanisms bypassing BRAF inhibition by vemurafenib. In support, targeted sequencing of 300 genes performed in one patient who was refractory to vemurafenib showed two separate activating subclonal KRAS mutations at relapse [71].
A further case with vemurafenib resistance had heterozygous deletions of BRAF, NF1, NF2, and TP53 and subclonal mutations in CREBBP and IRS1 in a pretreatment sample. NF1 and NF2 encode tumour suppressors that have been experimentally implicated in RAF inhibitor resistance in epithelial cancer cells [73] and downregulation of either or both Nf1 or Nf2 in Ba/F3 cells stably expressing BRAFV600E conferred vemurafenib resistance in vitro [11].
Seven distinct activating mutations in KRAS and two mutations in MAP2K1 were detected in the relapse sample of a patient resistant to a PNA and vemurafenib plus rituximab. Allele frequencies were consistent with the parallel, convergent evolution of multiple clones with KRAS mutations appearing before MAP2K1 mutations. Treatment with MEK inhibitor cobimetinib in combination with vemurafenib resulted in significant clinical and haematological improvement, associated with suppression of mutant allele frequencies for BRAF, KRAS, and MAP2K1 mutations and of ERK activity [74].
Elucidating the mechanisms of resistance to BRAF inhibitors in solid tumours, especially melanoma, is an area of intensive investigation. In addition to the selection of genomic mutations such as mutations of RAS or MAP2K1/MEK1 or of drug-tolerant persister cells, it is increasingly recognised that tumour cells may undergo non-genetic adaptive changes such as metabolic reprograming or reversion to a progenitor cell phenotype which result in drug resistance. It remains to be seen whether such adaptive changes will emerge in HCLc, a tumour with significantly less genomic complexity and instability [75][76][77][78][79].

3. Conclusions and Future Studies

The major focus was the key role that the discovery of the almost ubiquitous clonal BRAFV600E mutation has played in understanding the biology of HCLc and its importance both in differential diagnosis and as a therapeutic target. However, there remain many unanswered questions regarding the diagnosis and biology of both HCLc and, particularly, HCLv and SDRPL. Of greater clinical importance is an unmet need for potentially curative non-chemotherapeutic regimens for HCLc and more effective treatments for HCLv which additional genetic data may help to resolve.
While the finding of a BRAFV600E mutation in HCLc unequivocally identifies a disorder with largely uniform laboratory and clinical features, methylome and clinical course, the pathogenesis of less frequent features such as skeletal involvement, found in 3% of cases [80], and a propensity to autoimmune disease [81] remain unexplained. Additionally, there is still much to learn about the incidence, biology, and optimal management of cases with a typical HCLc phenotype that lacks the BRAFV600E mutation or another mechanism for BRAF upregulation.
It is also unlikely to be coincidental that BRAF WT HCLc cases display enrichment for IGHV4-34 gene usage, frequently accompanied by activating MAP2K1 mutations, and that these two features are also found in a subset of cases with HCLv, raising questions about the inter-relationship between these two patient groups. If IGHV4-34-positive, MAP2K1-mutated cases of HCLc and HCLv do exhibit the typical phenotypes of HCLc and HCLv, respectively, what might account for the differences between the two phenotypes?
There is also uncertainty about the relationship between HCLv and SDRPL, given their many overlapping features and the current absence of disease-defining genetic abnormalities. The absence of reports of the rare cases of SDRPL with progressive disease acquiring typical features of HCLv such as TP53 abnormalities or prominent nucleoli would suggest they are not simply different stages of a single disease.
These uncertainties are, in large part, a consequence of the rarity of these disorders, the lack of cell lines and animal models, and the difficulty in obtaining tumour cells, especially in HCLc, where the circulating tumour cell count is usually low, bone marrow aspiration is unsuccessful, and splenectomy rarely performed [82][83]. This is reflected in the lack of genomic data on HCLc and especially HCLv and SDRPL, compared with that available in the more common B-cell tumours, such that the published genomic landscapes are unlikely to reflect the full range or true incidence of CNAs and mutations present in all three disorders.
New biological insights are likely to require studies in larger multi-institution patient cohorts, together with the application of newer technologies such as WGS, and transcriptomic and epigenetic analyses, both at the bulk and single-cell levels, comparing data from tumour cells with that from normal splenic B-cell subsets.
It is conceivable that these studies, in conjunction with a more detailed analysis of the TME, may lead to the identification of new disease subsets within or spanning the current diagnoses of BRAF WT HCLc, HCLv, and SDRPL, offer new insights into their cells of origin, and give rise to a more genetically based classification, offering more precise diagnostic and prognostic features and targeted therapies.

References

  1. Swerdlow, S.H.; Campo, E.; Pileri, S.A.; Harris, N.L.; Stein, H.; Siebert, R.; Advani, R.; Ghielmini, M.; Salles, G.A.; Zelenetz, A.D.; et al. The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood 2016, 127, 2375–2390.
  2. Bouroncle, B.A.; Wiseman, B.K.; Doan, C.A. Leukemic reticuloendotheliosis. Blood 1958, 13, 609–630.
  3. Cross, M.; Dearden, C. Hairy Cell Leukaemia. Curr. Oncol. Rep. 2020, 22, 42.
  4. Maitre, E.; Cornet, E.; Troussard, X. Hairy cell leukemia: 2020 update on diagnosis, risk stratification, and treatment. Am. J. Hematol. 2019, 94, 1413–1422.
  5. Cawley, J.C.; Burns, G.F.; Hayhoe, F.G. A chronic lymphoproliferative disorder with distinctive features: A distinct variant of hairy-cell leukaemia. Leuk. Res. 1980, 4, 547–559.
  6. Matutes, E. Diagnostic and therapeutic challenges in hairy cell leukemia-variant: Where are we in 2021? Expert Rev. Hematol. 2021, 14, 355–363.
  7. Traverse-Glehen, A.; Baseggio, L.; Bauchu, E.C.; Morel, D.; Gazzo, S.; Ffrench, M.; Verney, A.; Rolland, D.; Thieblemont, C.; Magaud, J.P.; et al. Splenic red pulp lymphoma with numerous basophilic villous lymphocytes: A distinct clinicopathologic and molecular entity? Blood 2008, 111, 2253–2260.
  8. Kanellis, G.; Mollejo, M.; Montes-Moreno, S.; Rodriguez-Pinilla, S.M.; Cigudosa, J.C.; Algara, P.; Montalban, C.; Matutes, E.; Wotherspoon, A.; Piris, M.A. Splenic diffuse red pulp small B-cell lymphoma: Revision of a series of cases reveals characteristic clinico-pathological features. Haematologica 2010, 95, 1122–1129.
  9. Tiacci, E.; Trifonov, V.; Schiavoni, G.; Holmes, A.; Kern, W.; Martelli, M.P.; Pucciarini, A.; Bigerna, B.; Pacini, R.; Wells, V.A.; et al. BRAF mutations in hairy-cell leukemia. N. Engl. J. Med. 2011, 364, 2305–2315.
  10. Tiacci, E.; Schiavoni, G.; Martelli, M.P.; Boveri, E.; Pacini, R.; Tabarrini, A.; Zibellini, S.; Santi, A.; Pettirossi, V.; Fortini, E.; et al. Constant activation of the RAF-MEK-ERK pathway as a diagnostic and therapeutic target in hairy cell leukemia. Haematologica 2013, 98, 635–639.
  11. Durham, B.H.; Getta, B.; Dietrich, S.; Taylor, J.; Won, H.; Bogenberger, J.M.; Scott, S.; Kim, E.; Chung, Y.R.; Chung, S.S.; et al. Genomic analysis of hairy cell leukemia identifies novel recurrent genetic alterations. Blood 2017, 130, 1644–1648.
  12. Lavoie, H.; Therrien, M. Regulation of RAF protein kinases in ERK signalling. Nat. Rev. Mol. Cell Biol. 2015, 16, 281–298.
  13. Lavoie, H.; Gagnon, J.; Therrien, M. ERK signalling: A master regulator of cell behaviour, life and fate. Nat. Rev. Mol. Cell Biol. 2020, 21, 607–632.
  14. Wan, P.T.; Garnett, M.J.; Roe, S.M.; Lee, S.; Niculescu-Duvaz, D.; Good, V.M.; Jones, C.M.; Marshall, C.J.; Springer, C.J.; Barford, D.; et al. Mechanism of activation of the RAF-ERK signaling pathway by oncogenic mutations of B-RAF. Cell 2004, 116, 855–867.
  15. Dankner, M.; Rose, A.A.N.; Rajkumar, S.; Siegel, P.M.; Watson, I.R. Classifying BRAF alterations in cancer: New rational therapeutic strategies for actionable mutations. Oncogene 2018, 37, 3183–3199.
  16. Michaloglou, C.; Vredeveld, L.C.; Mooi, W.J.; Peeper, D.S. BRAF(E600) in benign and malignant human tumours. Oncogene 2008, 27, 877–895.
  17. Allen, C.E.; Merad, M.; McClain, K.L. Langerhans-Cell Histiocytosis. N. Engl. J. Med. 2018, 379, 856–868.
  18. Gulati, N.; Allen, C.E. Langerhans cell histiocytosis: Version 2021. Hematol. Oncol. 2021, 39 (Suppl. S1), 15–23.
  19. Feldman, A.L.; Arber, D.A.; Pittaluga, S.; Martinez, A.; Burke, J.S.; Raffeld, M.; Camos, M.; Warnke, R.; Jaffe, E.S. Clonally related follicular lymphomas and histiocytic/dendritic cell sarcomas: Evidence for transdifferentiation of the follicular lymphoma clone. Blood 2008, 111, 5433–5439.
  20. Tsai, Y.T.; Lakshmanan, A.; Lehman, A.; Harrington, B.K.; Lucas, F.M.; Tran, M.; Sass, E.J.; Long, M.; Flechtner, A.D.; Jaynes, F.; et al. BRAF(V600E) accelerates disease progression and enhances immune suppression in a mouse model of B-cell leukemia. Blood Adv. 2017, 1, 2147–2160.
  21. Egan, C.; Lack, J.; Skarshaug, S.; Pham, T.A.; Abdullaev, Z.; Xi, L.; Pack, S.; Pittaluga, S.; Jaffe, E.S.; Raffeld, M. The mutational landscape of histiocytic sarcoma associated with lymphoid malignancy. Mod. Pathol. 2021, 34, 336–347.
  22. Tao, Y.; Kang, B.; Petkovich, D.A.; Bhandari, Y.R.; In, J.; Stein-O’Brien, G.; Kong, X.; Xie, W.; Zachos, N.; Maegawa, S.; et al. Aging-like Spontaneous Epigenetic Silencing Facilitates Wnt Activation, Stemness, and Braf(V600E)-Induced Tumorigenesis. Cancer Cell 2019, 35, 315–328.
  23. Baggiolini, A.; Callahan, S.J.; Montal, E.; Weiss, J.M.; Trieu, T.; Tagore, M.M.; Tischfield, S.E.; Walsh, R.M.; Suresh, S.; Fan, Y.; et al. Developmental chromatin programs determine oncogenic competence in melanoma. Science 2021, 373, eabc1048.
  24. Velten, L.; Haas, S.F.; Raffel, S.; Blaszkiewicz, S.; Islam, S.; Hennig, B.P.; Hirche, C.; Lutz, C.; Buss, E.C.; Nowak, D.; et al. Human haematopoietic stem cell lineage commitment is a continuous process. Nat. Cell Biol. 2017, 19, 271–281.
  25. Triana, S.; Vonficht, D.; Jopp-Saile, L.; Raffel, S.; Lutz, R.; Leonce, D.; Antes, M.; Hernandez-Malmierca, P.; Ordonez-Rueda, D.; Ramasz, B.; et al. Single-cell proteo-genomic reference maps of the hematopoietic system enable the purification and massive profiling of precisely defined cell states. Nat. Immunol. 2021, 22, 1577–1589.
  26. Chung, S.S.; Kim, E.; Park, J.H.; Chung, Y.R.; Lito, P.; Teruya-Feldstein, J.; Hu, W.; Beguelin, W.; Monette, S.; Duy, C.; et al. Hematopoietic stem cell origin of BRAFV600E mutations in hairy cell leukemia. Sci. Transl. Med. 2014, 6, 238ra271.
  27. Loghavi, S.; Khoury, J.D. Langerhans cell histiocytosis in a patient with hairy cell leukemia: A tale of divergence. Blood 2017, 129, 1563.
  28. Bigenwald, C.; Le Berichel, J.; Wilk, C.M.; Chakraborty, R.; Chen, S.T.; Tabachnikova, A.; Mancusi, R.; Abhyankar, H.; Casanova-Acebes, M.; Laface, I.; et al. BRAF(V600E)-induced senescence drives Langerhans cell histiocytosis pathophysiology. Nat. Med. 2021, 27, 851–861.
  29. Biavasco, R.; Lettera, E.; Giannetti, K.; Gilioli, D.; Beretta, S.; Conti, A.; Scala, S.; Cesana, D.; Gallina, P.; Norelli, M.; et al. Oncogene-induced senescence in hematopoietic progenitors features myeloid restricted hematopoiesis, chronic inflammation and histiocytosis. Nat. Commun. 2021, 12, 4559.
  30. Sivina, M.; Burger, J.A. The importance of the tissue microenvironment in hairy cell leukemia. Best Pract. Res. Clin. Haematol. 2015, 28, 208–216.
  31. Bohn, J.P.; Salcher, S.; Pircher, A.; Untergasser, G.; Wolf, D. The Biology of Classic Hairy Cell Leukemia. Int. J. Mol. Sci. 2021, 22, 7780.
  32. Basso, K.; Liso, A.; Tiacci, E.; Benedetti, R.; Pulsoni, A.; Foa, R.; Di Raimondo, F.; Ambrosetti, A.; Califano, A.; Klein, U.; et al. Gene expression profiling of hairy cell leukemia reveals a phenotype related to memory B cells with altered expression of chemokine and adhesion receptors. J. Exp. Med. 2004, 199, 59–68.
  33. Pratilas, C.A.; Taylor, B.S.; Ye, Q.; Viale, A.; Sander, C.; Solit, D.B.; Rosen, N. (V600E)BRAF is associated with disabled feedback inhibition of RAF-MEK signaling and elevated transcriptional output of the pathway. Proc. Natl. Acad. Sci. USA 2009, 106, 4519–4524.
  34. Pettirossi, V.; Santi, A.; Imperi, E.; Russo, G.; Pucciarini, A.; Bigerna, B.; Schiavoni, G.; Fortini, E.; Spanhol-Rosseto, A.; Sportoletti, P.; et al. BRAF inhibitors reverse the unique molecular signature and phenotype of hairy cell leukemia and exert potent antileukemic activity. Blood 2015, 125, 1207–1216.
  35. Pemov, A.; Pathak, A.; Jones, S.J.; Dewan, R.; Merberg, J.; Karra, S.; Kim, J.; Arons, E.; Ravichandran, S.; Luke, B.T.; et al. In search of genetic factors predisposing to familial hairy cell leukemia (HCL): Exome-sequencing of four multiplex HCL pedigrees. Leukemia 2020, 34, 1934–1938.
  36. Arribas, A.J.; Rinaldi, A.; Chiodin, G.; Kwee, I.; Mensah, A.A.; Cascione, L.; Rossi, D.; Kanduri, M.; Rosenquist, R.; Zucca, E.; et al. Genome-wide promoter methylation of hairy cell leukemia. Blood Adv. 2019, 3, 384–396.
  37. Gemenetzi, K.; Agathangelidis, A.; Zaragoza-Infante, L.; Sofou, E.; Papaioannou, M.; Chatzidimitriou, A.; Stamatopoulos, K. B Cell Receptor Immunogenetics in B Cell Lymphomas: Immunoglobulin Genes as Key to Ontogeny and Clinical Decision Making. Front. Oncol. 2020, 10, 67.
  38. Brezinschek, H.P.; Foster, S.J.; Brezinschek, R.I.; Dorner, T.; Domiati-Saad, R.; Lipsky, P.E. Analysis of the human VH gene repertoire. Differential effects of selection and somatic hypermutation on human peripheral CD5(+)/IgM+ and CD5(−)/IgM+ B cells. J. Clin. Investig. 1997, 99, 2488–2501.
  39. Forconi, F.; Sozzi, E.; Rossi, D.; Sahota, S.S.; Amato, T.; Raspadori, D.; Trentin, L.; Leoncini, L.; Gaidano, G.; Lauria, F. Selective influences in the expressed immunoglobulin heavy and light chain gene repertoire in hairy cell leukemia. Haematologica 2008, 93, 697–705.
  40. Forconi, F.; Sozzi, E.; Cencini, E.; Zaja, F.; Intermesoli, T.; Stelitano, C.; Rigacci, L.; Gherlinzoni, F.; Cantaffa, R.; Baraldi, A.; et al. Hairy cell leukemias with unmutated IGHV genes define the minor subset refractory to single-agent cladribine and with more aggressive behavior. Blood 2009, 114, 4696–4702.
  41. Hockley, S.L.; Giannouli, S.; Morilla, A.; Wotherspoon, A.; Morgan, G.J.; Matutes, E.; Gonzalez, D. Insight into the molecular pathogenesis of hairy cell leukaemia, hairy cell leukaemia variant and splenic marginal zone lymphoma, provided by the analysis of their IGH rearrangements and somatic hypermutation patterns. Br. J. Haematol. 2010, 148, 666–669.
  42. Arons, E.; Roth, L.; Sapolsky, J.; Suntum, T.; Stetler-Stevenson, M.; Kreitman, R.J. Evidence of canonical somatic hypermutation in hairy cell leukemia. Blood 2011, 117, 4844–4851.
  43. Forconi, F.; Sahota, S.S.; Raspadori, D.; Ippoliti, M.; Babbage, G.; Lauria, F.; Stevenson, F.K. Hairy cell leukemia: At the crossroad of somatic mutation and isotype switch. Blood 2004, 104, 3312–3317.
  44. Giachino, C.; Padovan, E.; Lanzavecchia, A. κ+λ+ dual receptor B cells are present in the human peripheral repertoire. J. Exp. Med. 1995, 181, 1245–1250.
  45. Kenny, J.J.; Rezanka, L.J.; Lustig, A.; Fischer, R.T.; Yoder, J.; Marshall, S.; Longo, D.L. Autoreactive B cells escape clonal deletion by expressing multiple antigen receptors. J. Immunol. 2000, 164, 4111–4119.
  46. Arribas, A.J.; Rinaldi, A.; Chiodin, G.; Kwee, I.; Mensah, A.A.; Cascione, L.; Rossi, D.; Kanduri, M.; Rosenquist, R.; Zucca, E.; et al. Genome-wide promoter methylation of hairy cell leukemia. Blood Adv. 2019, 3, 384–396.
  47. Dorfman, D.M.; Hwang, E.S.; Shahsafaei, A.; Glimcher, L.H. T-bet, a T-cell-associated transcription factor, is expressed in a subset of B-cell lymphoproliferative disorders. Am. J. Clin. Pathol. 2004, 122, 292–297.
  48. Toth-Liptak, J.; Piukovics, K.; Borbenyi, Z.; Demeter, J.; Bagdi, E.; Krenacs, L. A comprehensive immunophenotypic marker analysis of hairy cell leukemia in paraffin-embedded bone marrow trephine biopsies—A tissue microarray study. Pathol. Oncol. Res. 2015, 21, 203–211.
  49. Johrens, K.; Moos, V.; Schneider, T.; Anagnostopoulos, I. T-box-expressed-in-T-cells (T-bet) expression by the tumor cells of hairy-cell leukemia correlates with interferon-gamma production. Leuk. Lymphoma 2009, 50, 1687–1692.
  50. Kumar, P.; Gao, Q.; Chan, A.; Lewis, N.; Sigler, A.; Pichardo, J.; Xiao, W.; Roshal, M.; Dogan, A. Hairy cell leukemia expresses programmed death-1. Blood Cancer J. 2020, 10, 115.
  51. Cancro, M.P. Age-Associated B Cells. Annu. Rev. Immunol. 2020, 38, 315–340.
  52. Elsner, R.A.; Shlomchik, M.J. Germinal Center and Extrafollicular B Cell Responses in Vaccination, Immunity, and Autoimmunity. Immunity 2020, 53, 1136–1150.
  53. Glass, D.R.; Tsai, A.G.; Oliveria, J.P.; Hartmann, F.J.; Kimmey, S.C.; Calderon, A.A.; Borges, L.; Glass, M.C.; Wagar, L.E.; Davis, M.M.; et al. An Integrated Multi-omic Single-Cell Atlas of Human B Cell Identity. Immunity 2020, 53, 217–232.e215.
  54. Johnson, J.L.; Rosenthal, R.L.; Knox, J.J.; Myles, A.; Naradikian, M.S.; Madej, J.; Kostiv, M.; Rosenfeld, A.M.; Meng, W.; Christensen, S.R.; et al. The Transcription Factor T-bet Resolves Memory B Cell Subsets with Distinct Tissue Distributions and Antibody Specificities in Mice and Humans. Immunity 2020, 52, 842–855.e846.
  55. Sutton, H.J.; Aye, R.; Idris, A.H.; Vistein, R.; Nduati, E.; Kai, O.; Mwacharo, J.; Li, X.; Gao, X.; Andrews, T.D.; et al. Atypical B cells are part of an alternative lineage of B cells that participates in responses to vaccination and infection in humans. Cell Rep. 2021, 34, 108684.
  56. Sanz, I.; Wei, C.; Jenks, S.A.; Cashman, K.S.; Tipton, C.; Woodruff, M.C.; Hom, J.; Lee, F.E. Challenges and Opportunities for Consistent Classification of Human B Cell and Plasma Cell Populations. Front. Immunol. 2019, 10, 2458.
  57. Stewart, A.; Ng, J.C.; Wallis, G.; Tsioligka, V.; Fraternali, F.; Dunn-Walters, D.K. Single-Cell Transcriptomic Analyses Define Distinct Peripheral B Cell Subsets and Discrete Development Pathways. Front. Immunol. 2021, 12, 602539.
  58. Ng, A.; Chiorazzi, N. Potential Relevance of B-cell Maturation Pathways in Defining the Cell(s) of Origin for Chronic Lymphocytic Leukemia. Hematol. Oncol. Clin. N. Am. 2021, 35, 665–685.
  59. Gimenez, N.; Martinez-Trillos, A.; Montraveta, A.; Lopez-Guerra, M.; Rosich, L.; Nadeu, F.; Valero, J.G.; Aymerich, M.; Magnano, L.; Rozman, M.; et al. Mutations in the RAS-BRAF-MAPK-ERK pathway define a specific subgroup of patients with adverse clinical features and provide new therapeutic options in chronic lymphocytic leukemia. Haematologica 2019, 104, 576–586.
  60. Vendramini, E.; Bomben, R.; Pozzo, F.; Benedetti, D.; Bittolo, T.; Rossi, F.M.; Dal Bo, M.; Rabe, K.G.; Pozzato, G.; Zaja, F.; et al. KRAS, NRAS, and BRAF mutations are highly enriched in trisomy 12 chronic lymphocytic leukemia and are associated with shorter treatment-free survival. Leukemia 2019, 33, 2111–2115.
  61. Blakemore, S.J.; Clifford, R.; Parker, H.; Antoniou, P.; Stec-Dziedzic, E.; Larrayoz, M.; Davis, Z.; Kadalyayil, L.; Colins, A.; Robbe, P.; et al. Clinical significance of TP53, BIRC3, ATM and MAPK-ERK genes in chronic lymphocytic leukaemia: Data from the randomised UK LRF CLL4 trial. Leukemia 2020, 34, 1760–1774.
  62. Andrulis, M.; Lehners, N.; Capper, D.; Penzel, R.; Heining, C.; Huellein, J.; Zenz, T.; von Deimling, A.; Schirmacher, P.; Ho, A.D.; et al. Targeting the BRAF V600E mutation in multiple myeloma. Cancer Discov. 2013, 3, 862–869.
  63. Rustad, E.H.; Dai, H.Y.; Hov, H.; Coward, E.; Beisvag, V.; Myklebost, O.; Hovig, E.; Nakken, S.; Vodak, D.; Meza-Zepeda, L.A.; et al. BRAF V600E mutation in early-stage multiple myeloma: Good response to broad acting drugs and no relation to prognosis. Blood Cancer J. 2015, 5, e299.
  64. Tiacci, E.; Schiavoni, G.; Forconi, F.; Santi, A.; Trentin, L.; Ambrosetti, A.; Cecchini, D.; Sozzi, E.; Francia di Celle, P.; Di Bello, C.; et al. Simple genetic diagnosis of hairy cell leukemia by sensitive detection of the BRAF-V600E mutation. Blood 2012, 119, 192–195.
  65. Guerrini, F.; Paolicchi, M.; Ghio, F.; Ciabatti, E.; Grassi, S.; Salehzadeh, S.; Ercolano, G.; Metelli, M.R.; Del Re, M.; Iovino, L.; et al. The Droplet Digital PCR: A New Valid Molecular Approach for the Assessment of B-RAF V600E Mutation in Hairy Cell Leukemia. Front. Pharmacol. 2016, 7, 363.
  66. Cardus, B.; Colling, R.; Hamblin, A.; Soilleux, E. Comparison of methodologies for the detection of BRAF mutations in bone marrow trephine specimens. J. Clin. Pathol. 2019, 72, 406–411.
  67. WHO. WHO Classification of Tumours of Haematopoietic and Lymphoid Tissues; Swerdlow, S.H., Campo, E., Harris, N.L., Jaffe, E.S., Pileri, S.A., Stein, H., Thiele, J., Vardiman, J.W., Eds.; WHO Press: Geneva, Switzerland, 2008.
  68. Arons, E.; Suntum, T.; Stetler-Stevenson, M.; Kreitman, R.J. VH4-34+ hairy cell leukemia, a new variant with poor prognosis despite standard therapy. Blood 2009, 114, 4687–4695.
  69. Tiacci, E.; Park, J.H.; De Carolis, L.; Chung, S.S.; Broccoli, A.; Scott, S.; Zaja, F.; Devlin, S.; Pulsoni, A.; Chung, Y.R.; et al. Targeting Mutant BRAF in Relapsed or Refractory Hairy-Cell Leukemia. N. Engl. J. Med. 2015, 373, 1733–1747.
  70. Tiacci, E.; De Carolis, L.; Simonetti, E.; Merluzzi, M.; Bennati, A.; Perriello, V.M.; Pucciarini, A.; Santi, A.; Venanzi, A.; Pettirossi, V.; et al. Safety and efficacy of the BRAF inhibitor dabrafenib in relapsed or refractory hairy cell leukemia: A pilot phase-2 clinical trial. Leukemia 2021, 35, 3314–3318.
  71. Tiacci, E.; De Carolis, L.; Simonetti, E.; Capponi, M.; Ambrosetti, A.; Lucia, E.; Antolino, A.; Pulsoni, A.; Ferrari, S.; Zinzani, P.L.; et al. Vemurafenib plus Rituximab in Refractory or Relapsed Hairy-Cell Leukemia. N. Engl. J. Med. 2021, 384, 1810–1823.
  72. Maitre, E.; Bertrand, P.; Maingonnat, C.; Viailly, P.J.; Wiber, M.; Naguib, D.; Salaun, V.; Cornet, E.; Damaj, G.; Sola, B.; et al. New generation sequencing of targeted genes in the classical and the variant form of hairy cell leukemia highlights mutations in epigenetic regulation genes. Oncotarget 2018, 9, 28866–28876.
  73. Whittaker, S.R.; Theurillat, J.P.; Van Allen, E.; Wagle, N.; Hsiao, J.; Cowley, G.S.; Schadendorf, D.; Root, D.E.; Garraway, L.A. A genome-scale RNA interference screen implicates NF1 loss in resistance to RAF inhibition. Cancer Discov. 2013, 3, 350–362.
  74. Caeser, R.; Collord, G.; Yao, W.Q.; Chen, Z.; Vassiliou, G.S.; Beer, P.A.; Du, M.Q.; Scott, M.A.; Follows, G.A.; Hodson, D.J. Targeting MEK in vemurafenib-resistant hairy cell leukemia. Leukemia 2019, 33, 541–545.
  75. Marine, J.C.; Dawson, S.J.; Dawson, M.A. Non-genetic mechanisms of therapeutic resistance in cancer. Nat. Rev. Cancer 2020, 20, 743–756.
  76. Ciriello, G.; Magnani, L. The many faces of cancer evolution. iScience 2021, 24, 102403.
  77. Emert, B.L.; Cote, C.J.; Torre, E.A.; Dardani, I.P.; Jiang, C.L.; Jain, N.; Shaffer, S.M.; Raj, A. Variability within rare cell states enables multiple paths toward drug resistance. Nat. Biotechnol. 2021, 39, 865–876.
  78. Sadras, T.; Chan, L.N.; Xiao, G.; Muschen, M. Metabolic Gatekeepers of Pathological B Cell Activation. Annu. Rev. Pathol. 2021, 16, 323–349.
  79. Waldschmidt, J.M.; Kloeber, J.A.; Anand, P.; Frede, J.; Kokkalis, A.; Dimitrova, V.; Potdar, S.; Nair, M.S.; Vijaykumar, T.; Im, N.G.; et al. Single-Cell Profiling Reveals Metabolic Reprogramming as a Resistance Mechanism in BRAF-Mutated Multiple Myeloma. Clin. Cancer Res. 2021, 27, 6432–6444.
  80. Robak, P.; Jesionek-Kupnicka, D.; Kupnicki, P.; Polliack, A.; Robak, T. Bone lesions in hairy cell leukemia: Diagnosis and treatment. Eur. J. Haematol. 2020, 105, 682–691.
  81. Dasanu, C.A.; Van den Bergh, M.; Pepito, D.; Alvarez Argote, J. Autoimmune disorders in patients with hairy cell leukemia: Are they more common than previously thought? Curr. Med. Res. Opin. 2015, 31, 17–23.
  82. Weston-Bell, N.J.; Hendriks, D.; Sugiyarto, G.; Bos, N.A.; Kluin-Nelemans, H.C.; Forconi, F.; Sahota, S.S. Hairy cell leukemia cell lines expressing annexin A1 and displaying B-cell receptor signals characteristic of primary tumor cells lack the signature BRAF mutation to reveal unrepresentative origins. Leukemia 2013, 27, 241–245.
  83. Falini, B.; Martelli, M.P.; Tiacci, E. BRAF V600E mutation in hairy cell leukemia: From bench to bedside. Blood 2016, 128, 1918–1927.
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