EPIDEMIOLOGY AND ETIOLOGY
Because of the heterogeneity of MDS and a prior concept that MDS was a preleukemic condition of unclear significance affecting older individuals, there are no robust mature registries of MDS, at least in the US. A number of studies have tried to delineate the incidence and prevalence of MDS. Data from the North American Association of Central Cancer Registries (NAACCR) and the Surveillance, Epidemiology and End Results (SEER) program indicate that the average annual age-adjusted incidence rate of MDS for 2001 through 2003 was 3.3 per 100,000. This translates to approximately 9,700 patients with MDS in the US per year. Of interest, incidence rates increased per year in that analysis. Of importance, only a minority of patients were reported to registries by physicians’ offices.
28 After this initial study, several other groups have reported higher incidence rates in MDS. For instance, investigators using a claims-based algorithm have reported the incidence of MDS being close to 75 individuals per 100,000 in people over 60 years of age.
29,30 More recently, Cogle et al. constructed 4 claims-based algorithms to assess MDS incidence and applied them to the 2000 to 2008 SEER-Medicare database.
30 Using this approach, the annual incidence of MDS in the US was projected to be 75 per 100,000 persons 65 years or older, much higher than previously estimated. MDS is a disease of aging. The incidence of the disease sharply increases in patients older than 60 years of age, and the median age is 70 years.
28 As the age of the population increases, it is expected that MDS may become a major medical problem, at least in developed countries.
The cause of MDS is not known, but there is strong data that suggest that MDS can also be the result of toxic exposure of bone marrow stem cells. A prototypical example is cases secondary to exposure to prior chemotherapy or radiation therapy, i.e., therapy-related (t)-MDS.
19,31 Therapy-related MDS often is characterized by complex karyotypes and can occur in younger patients. Depending on the type of chemotherapy exposure, different patterns of disease evolution and cytogenetic abnormalities can be documented.
31 The prognosis of patients with t-MDS is very poor, but it is unclear if this is the result of characteristics intrinsic to the disease or because a large majority of these patients have very complex karyotypes that are associated with poor prognosis. For instance, in therapy-related AML (t-AML), it has been shown that common functional p53-pathway variants such as the
MDM2 SNP309 and the
TP53 codon 72 polymorphism may be associated with an increased risk of developing t-AML.
32 This data is of significance as it suggests that predisposing molecular features are involved in the development of therapy-related myeloid malignancies.
33 At MDACC, we evaluated the characteristics of patients with t-MDS. We studied 281 patients with MDS that had received prior chemotherapy and/or radiotherapy for prior malignancy. Multivariate Cox regression analysis identified 7 factors that independently predicted short survival in t-MDS: age ≥ 65 years (HR = 1.63), ECOG performance status 2 to 4 (HR = 1.86), poor cytogenetics (-7 and/or complex; HR = 2.47), WHO MDS subtype (RARS or RAEB-1/2; HR = 1.92), hemoglobin (<11 g/dl; HR = 2.24), platelets (<50 × 10
9/dl; HR = 2.01), and transfusion dependency (HR = 1.59). These risk factors were used to create a prognostic model that segregated patients into three groups with distinct median overall survival: good (0 to 2 risk factors; 34 months), intermediate (3 to 4 risk factors; 12 months), and poor (5 to 7 risk factors; 5 months) (
p < 0.001); and 1-year leukemia-free survival (96%, 84%, and 72%, respectively,
p = 0.003). This model also identified distinct survival groups according to t-MDS therapy.
A number of epidemiologic studies have suggested that environmental factors play a role in the development of MDS. Recently, a pooled analysis studied the effects of benzene exposure in oil workers. Exposure to benzene was associated with MDS. High benzene exposure (>3 ppm) was associated with a risk of MDS (OR = 6.32, 95% CI = 1.32 to 30.2). Of interest, no association was observed with AML.
34 In a hospital-based case-control study of 354 adult de novo MDS cases and 452 controls, a family history of hematopoietic cancer (odds ratio [OR] = 1.92), smoking (OR = 1.65), and exposure to agricultural chemicals (OR = 4.55) or solvents (OR = 2.05) were associated with MDS risk. For patients with lower-risk disease (RA/RARS) only smoking (OR = 2.23) and agricultural chemical exposure (OR = 5.68) were identified. For patients with higher-risk disease (RAEB/RAEBT), a family history of hematopoietic cancer (OR = 2.10), smoking (OR = 1.52), and exposure to agricultural chemicals (OR = 3.79) or solvents (OR = 2.71) were independent risk factors. Drinking wine reduced risk for all FAB types by almost 50% (OR = 0.54). A joint effect between smoking and chemical exposure was observed, with the highest risk among smokers exposed to solvents/agricultural chemicals (OR = 3.22).
35
Finally, a number of genetic syndromes associated with bone marrow failure were recently associated with the development
of MDS.
36 Of importance, several of these disorders are ribosomopathies characterized by altered ribosome biogenesis and function.
37 Syndromes in this category include Diamond-Blackfan anemia, Schwachman-Diamond syndrome, dyskeratosis congenita, cartilage hair hypoplasia, and Treacher Collins syndrome.
37 Haploinsufficiency in ribosomal genes, such as
RPS14, are also implicated in the pathogenesis of the 5q-syndrome, thus providing further linkage between these conditions.
38 Patients with Fanconi anemia are also at increased risk of developing MDS.
39 Mutations in
Runx1 have been described in MDS of patients with Fanconi anemia.
40
A number of rare familial syndromes have been reported. For instance, germline mutations in
Runx1 have been shown to occur in families characterized by thrombocytopenia and increased risk of developing MDS and AML.
41 Mutations are more common in the DNA binding domain or N-terminus of the gene. The median incidence of MDS/AML among carriers of
RUNX1 mutation was 35%.
42 It should be noted that not all family members with the mutation had low platelet counts.
42 It should also be noted that allogeneic stem cell transplantation (SCT) was associated with a high rate of complications.
42 Therefore SCT cannot be recommended in all patients at risk. Because mutational analysis of
Runx1 is not commonly performed in clinical practice, it is possible that there are more individuals and families affected by this type of familial syndrome. Younger patients with thrombocytopenia or MDS should be screened for
Runx1 mutations. Germline mutations in
GATA-2 have also been involved in a familial syndrome of MDS/AML, MonoMAC, and lymphedema.
43 MonoMAC is an autosomal dominant syndrome associated with monocytopenia; B and NK cell lymphopenia; and mycobacterial, fungal, and viral infections. This syndrome is also associated with pulmonary alveolar proteinosis.
44
Molecular Pathogenesis
The cause of MDS is not known but remains strongly linked to senescence. Over the last 5 years we have gained significant knowledge in both genetic and epigenetic alterations that characterize MDS. This information is of great significance and is going to aid not only in understanding the molecular bases of MDS but also in developing molecularly based classifications of MDS, as well as in developing new targeted interventions for patients with MDS.
The molecular analysis of MDS has been revolutionized by the advent of powerful new sequencing techniques. Using these technologies, several groups have reported a large number of genetic mutations in patients with MDS.
23,45 A list is shown in
Table 79.2. The most frequent events are genes involved in control of gene splicing
46, 47 and 48 and epigenetic regulators
49 such as
TET245,50 or
ASXL145,51 or
EZH2.45,52 At the present time, it is not known why splicing mutations are so prevalent in MDS and what the downstream effects of these mutations are. The mutations on epigenetic regulators are of special interest.
TET2 mutations were first identified in myeloid leukemia but their functional relevance or clinical impact was unknown.
50,53 The presence of mutations in the
TET family was rapidly confirmed by several groups.
53 TET2 is located on chromosome 4q24 and has been shown to have a role in the control of DNA hydroxymethylation.
54,55 Therefore it is likely that patients with mutations in
TET2 will have abnormal DNA methylation patterns that could broadly impact gene expression patterns in MDS. It has been shown that
TET2 has a role in the homeostasis of hematopoietic stem cells.
56,57 Although the prognostic impact of
TET2 is not clear at this time, data from several groups has suggested that the presence of
TET2 mutations may be associated with response to azacitidine.
58 EZH2 is located on chromosome 7 and is a member of the Polycomb group family. It is a histone 3 k27 methylase and therefore is also involved in the control of epigenetic gene repression. In contrast with
EZH2 mutations described in lymphoma
59 that are activating,
EZH2 mutations in MDS inactivate the gene. Mutations in
EZH2 are associated with a poor prognosis, particularly in patients with lower-risk MDS.
60 Although the analysis of current genetic data in MDS is in flux, it is becoming apparent that specific molecular pathways may separate different subsets of patients. For instance, in the analysis of Bejar et al.,
45 patients could be separated into 2 major subgroups: those with p53 mutations and complex cytogenetics, and those without p53 mutations
45 (
Fig. 79.4). These results should be considered as preliminary, as it is likely that ongoing studies using whole genome sequencing technologies will uncover additional mutations that will provide a deeper insight into the biology of MDS.
Together with genetic alterations, epigenetic lesions, in particular aberrant DNA methylation of promoter CpG islands, have been reported in MDS. Aberrant DNA methylation is common both in AML
61 and MDS.
62 This observation has promoted significant interest in the use of hypomethylating agents in MDS, which is discussed below. Although aberrant DNA methylation is common in MDS, whether specific methylation patterns are associated with response to these agents or with overall outcome is not fully understood. In a study by Shen et al.
62 patients with higher methylation scores had worse survival. Further studies correlating methylation and hydroxymethylation patterns with genetic alterations are needed in MDS and other leukemias to clarify these important concepts.
Prognostic Classifications
A number of clinical and variable characteristics are associated with prognosis in MDS. These include percentage of marrow blasts captured by the FAB classification, cytogenetics (discussed above), age, molecular alterations, presence of bone
fibrosis, number of marrow CD34
+ cells, LDH, ferritin, and beta 2 microglobulin, to name a few. Prognostic stratification has an important role in MDS. One can consider this as a static concept helping the clinician predict survival and risk of transformation at the time of initial presentation without including the impact of any therapy. Other systems may allow prognostic calculation in a dynamic fashion by permitting sequential application during the life of the patient. And finally prognostic models may incorporate calculations of the impact of responses and or survival and response durations for a specific form of therapy. A number of classifications exist that fulfill one or more of these criteria. Until 2012, the standard prognostic classification system for patients with MDS was the IPSS.
2 This model was developed in 1997 by Greenberg et al. and included a cohort of 880 patients that had not received prior therapy. This model has been the basis of most clinical research performed in the field over the last 20 years and therefore is of significant importance. Because IPSS is based on FAB morphologic criteria, in particular the percentage of marrow blasts up to 30%, and most currently approved drugs use either IPSS or FAB for their approval, IPSS still is of significant practical importance. IPSS is summarized in
Table 79.3. IPSS has several limitations, the most important being that it underestimates the importance of the severity of cytopenias and it places too much weight on the percentage of blasts at the expense of cytogenetic alterations. Because of these limitations, a number of newer classifications have been developed by several groups. Examples include the WHO-based prognostic scoring system (WPSS) system
63 and the Global MD Anderson Cancer (MDACC) model.
18 That said, neither of these latter two models have been formally accepted
by all groups. Because of this, a very large international effort was initiated approximately 4 years ago to develop a new international MDS scoring system. This system is known as IPSS-R,
13 or revised IPSS, and was recently published.
13 IPSS-R is summarized in
Table 79.4. The major differences between IPSS and IPSS-R is that the latter includes the new 5-subgroup cytogenetic classification discussed above and different cut-offs of cytopenias and percentages of marrow blasts, paralleled by 5 prognostic categories. IPSS-R has not been formally evaluated in a prospective fashion and has not yet been tested in patients receiving active therapy. Also, IPSS-R does not include molecular data and therefore is likely to be revised in the near future once large-scale mutational analyses are incorporated into routine clinical practice.
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