Keywords
BRAF - hairy cell leukemia - prevalence
Introduction
Hairy cell leukemia (HCL) is a chronic B-cell lymphoid leukemia characterized by pancytopenia,
splenomegaly, myelofibrosis, and the presence in peripheral blood, bone marrow, and
spleen of atypical lymphoid cells with a hairy aspect.[1] There are approximately 1000 and 1600 new cases of HCL per year in the US and Europe,
respectively. The prevalence of the disease is unknown, although HCL accounts for
2% of all types of leukemia, and the incidence of HCL increases annually.[2] Variant HCL (HCLv) is now included in the World Health Organization classification
as a provisional entity and is no longer considered to be biologically related to
classic HCL (HCLc). The clinical course of HCLv is variable, but usually more aggressive,
and the median survival of patients with HCLv is significantly shorter than that of
HCLc.[3] HCLc is a B-cell malignancy with distinctive immunophenotype, typically expressing
CD20, CD22, CD25, CD11c, CD103, CD123, annexin A1, and tartrate-resistant acid phosphatase.[4] HCLc responds to purine nucleoside analogs, while HCLv cases are resistant and are
more aggressive compared with the classic variant.[5] Clinically, HCL has an indolent course with splenomegaly, progressive cytopenias,
low numbers of circulating leukemia cells, and no lymphadenopathy. BRAF V600E mutations
were recently identified in the leukemic cells from patients with HCL.[6] This mutation in exon 15 is considered the disease-defining mutation in HCL, but
single HCL cases lacking this mutation have been described.[7] It has demonstrated BRAF V600E-negative cases of HCL.[8] In some studies, BRAF V600E mutations were found in 100% cases of HCL.[9],[10] The aim of this meta-analysis study was to report the prevalence of BRAF V600E mutation
in HCL patients.
Methods
Search strategies and study criteria
The studies were searched in three databases (PubMed, Scopus, and Web of Science)
up to December 2017 using the keywords of hairy cell leukemia or HCL and BRAF for
the prevalence of BRAF mutation in HCL patients.
Study selection
One author (E.S) searched the articles and then the second author (M.S) was blinded
to the first author. If there was any disagreement between the two authors, the problem
was resolved with negotiation. All studies were searched for the evaluation of the
prevalence of BRAF mutation in HCL patients. The inclusion criteria for the studies
selected were as follows: (i) studies reporting the prevalence of BRAF and (ii) only
studies with English language abstract. The exclusion criteria included the case reports,
review articles, incomplete reports (no sufficient information), and letters.
Data extraction
The name of author, year of publication, publication country, total number of patients,
and number of patients with BRAF mutation were the relevant data extracted from every
study.
Statistical analysis
A random effects meta-analysis was performed by the Comprehensive Meta-Analysis software
version 2.0 (CMA 2.0; Biostat Inc, Englewood, NJ). The event rate (ER) of the studies
included was calculated for the estimation of the prevalence of BRAF mutation in HCL
patients. Heterogeneity between estimates was evaluated by the Q and I2 statistics
that, for the Q statistic, heterogeneity was considered if P < 0.1. Confidence interval
(CI) was 95% and P (two-sided) <0.05 was considered to be statistically significant
in this meta-analysis. The publication bias was assessed through funnel plot analysis
with the Begg's and Egger's tests.
Results
Out of 552 articles identified from the search, after excluding the studies, 25 studies
were assessed for eligibility. Of these 25 studies, 14 studies were excluded based
on reasons. Finally, 11 studies were included and were analyzed for meta-analysis
study [Figure 1].
Figure 1: Flowchart of the study
The characteristics of the studies included in the meta-analysis are shown in [Table 1]. The studies included were between 2011 and 2016. Three studies were reported from
Germany,[7],[11],[12] five studies from USA,[8],[10],[13],[14],[15] one study from Australia,[16] one study from Iraq,[17] and one study from Italy.[18] The studies in the meta-analysis included 437 patients with HCL, of which 353 (80.8%)
patients had BRAF V600E mutation.
Table 1
The characteristics of the studies in meta-analysis (n=11)
The first author, year
|
Country
|
Total number of HCL patients
|
Number of BRAF positivity patients
|
HCL – Hairy cell leukemia
|
Tiacci E, 2011[18]
|
Italy
|
48
|
30
|
Andrulis M, 2012[11]
|
Germany
|
32
|
32
|
Blombery PA, 2012[10]
|
USA
|
59
|
38
|
Schnittger S, 2012[12]
|
Germany
|
117
|
115
|
Verma S, 2012[15]
|
USA
|
12
|
12
|
Xi L, 2012[8]
|
USA
|
69
|
42
|
Brown NA, 2015a[13]
|
USA
|
22
|
17
|
Brown NA, 2015b[14]
|
USA
|
29
|
24
|
Tschernitz S, 2014[7]
|
Germany
|
24
|
21
|
Thomas C, 2015[16]
|
Australia
|
20
|
20
|
Altaee Z, 2016[17]
|
Iraq
|
5
|
2
|
The prevalence of BRAF mutation in HCL patients in the meta-analysis study is shown
in [Figure 2]. The pooled ER of the studies was 81.5% (95% CI: 69.5%–89.5%) with I2 = 77.7%.
Figure 2: Forest plot of the prevalence of the studies included in the meta‑analysis
(n = 11)
Publication bias
Funnel plot of the studies for the prevalence of BRAF mutation in HCL patients is
shown in [Figure 3]. The Begg's test did not show publication bias (P = 0.051), but Egger's test showed
the publication bias (P = 0.010).
Figure 3: Funnel plot of the random effect of the studies for the prevalence of BRAF
mutation in patients with hairy cell leukemia
Discussion
This meta-analysis showed that the prevalence of BRAF V600E mutation in HCL patients
was 81.5%. Boyd et al.[19] used high resolution melting analysis for detection of BRAF exon 15 mutations on
formalin-fixed, paraffin-embedded (FFPE) tissues that this method may provide a useful
tool for specialist hematopathology laboratories. Vemurafenib is used in treating
patients with BRAF V600E mutation in HCL. BRAF mutation provides further opportunities
for the use of a targeted therapy approach to improve outcome in HCL patients, especially
for patients with relapsed or treatment-refractory disease.[20] The frequent nature of activating BRAF V600E mutations in HCL is fundamental in
the pathogenetic understanding of this entity and will likely become an entity defining
genetic aberration in future classifications.[11] Therefore, the detection of BRAF V600E mutations in HCL has important diagnostic
utility.[13]
Two studies[19],[21] reported that the BRAF V600E mutation was present in all patients with HCL, and
Xi et al.[8] reported in 79% of their HCLc cases using a pyrosequencing assay. Tiacci et al.[18] showed that BRAF V600E mutation can serve as a new diagnostic tool to distinguish
HCL from other morphologically similar B-cell neoplasms.
There are several methods used in the studies including Sanger sequencing, high-resolution
melting, allele-specific polymerase chain reaction, and pyrosequencing that most of
them used either fresh or frozen tissue or stringent criteria for accepting FFPE specimens.[14] As these studies investigated only exon 15 of the BRAF gene, one study extended
our sequencing approach to exon 11, which harbors a second hotspot of BRAF mutations
in solid tumors.[7] In the routine diagnostic setting, It is suggested the screening of BRAF V600E-negative
HCL for alternative exon 11 mutations.[7]
One study[6] reported that the BRAF V600E mutation was detected in 100% of HCLc versus none of
the HCLv patients. Another study[8] showed that BRAF was mutated in 79% of HCLc and none of the HCLv patients. Therefore,
used methods, different subtypes of HCL, and exons checked can change the percentage
of BRAF mutation and cause the difference between the results in the studies.
Limitations
-
Difference in the detection methods of BRAF mutation in HCL patients
-
Low number of patients in more studies
-
Unknown age and gender in a number of studies
-
Difference in the number of patients in subgroups of HCL among the studies (HCLc and
HCLv).
Conclusions
With regard to the mentioned limitations, the prevalence of BRAF mutation in HCL patients
was >80%. In the future studies, sex, age, and other variables can exactly show the
correlation between these variables with the detection of BRAF mutation.