Myelodysplastic Syndromes Clinical Trial
Official title:
An Integrated European Platform to Conduct Translational Studies in Myelodysplastic Syndromes Based on the EuroBloodNet Infrastructure
Rationale Myelodysplastic syndromes (MDS) are rare cancers with unmet medical needs. Study of
MDS has been rapidly transformed by genome characterization.
The investigators hypothesize that comprehensive analyses of large patient population will
allow to correctly estimate the effect of each mutation on clinical outcomes, and that niche
factors and immune dysfunctions may influence the development of MDS, clonal evolution and
response to treatments
Aims
1- Investigate gene mutations, niche factors and immune dysfunctions influencing the
development of MDS, and define biomarkers for early identification of individuals at risk; 2-
Develop prognostic models for MDS patients through integration of comprehensive
genomic/clinical information; 3- Define biomarkers to better stratify the individual
probability of response to specific treatments
Methods EuroBloodNet, the European Reference Network in rare hematological diseases, will
provide a basis for research activities. Study of genomic features of clonal dominance in
elderly subjects enrolled in large population-based studies and description of the dynamics
of clonal establishment and evolution; study of bone marrow microenvironment to identify
immune dysfunctions influencing MDS development. Development of inclusive statistical models
to accurately predict clinical outcome at individual level, based on large MDS populations
with comprehensive genomic/clinical data. Finally, analysis of mutational screening and
immune profiles from patients enrolled in prospective trials, to provide evidence on
genetic/immunologic profiles associated with probability of response to specific compounds
Expected results To characterize how clonal hematopoiesis relates to the induction of MDS
clinical phenotype, and to test the utility of gene sequencing to detect subjects at risk of
developing MDS. To define effective prognostic systems and biomarkers to stratify the
individual probability of response to treatment
MDS typically occurs in elderly people and a portion of these subjects evolve into acute
myeloid leukemia (AML). The natural history of MDS is highly heterogeneous, and therefore a
risk-adapted treatment strategy is mandatory.
The presence of mutations in a given individual has only limited predictive power, as
conversion to MDS is rare regardless of mutation status. In addition, in patients with overt
MDS, genetic abnormalities explain only a proportion of the total hazard for survival,
meaning that a large percentage is still associated with clinical and non-mutational factors.
Comprehensive analyses of large patient populations are warranted to correctly estimate the
independent effect of each mutation on clinical outcome and response to treatment.
Moreover, environmental factors influencing the development of MDS and the probability of
response to specific treatments are to be characterized. They include alterations in the
immune system. In this context, a significant association was found between autoimmune
disorders and MDS, and activation of the inflammasome may contribute to MDS development
AIMS 1- Investigate gene mutations, niche factors and immune dysfunctions influencing the
development of MDS, and define biomarkers for early identification of individuals at risk; 2-
Develop prognostic models for MDS patients through integration of comprehensive
genomic/clinical information; 3- Define biomarkers to better stratify the individual
probability of response to specific treatments
EXPERIMENTAL DESIGN
AIM1
1a) The investigators will analyze the genomic features of clonal dominance and ineffective
hematopoiesis in elderly subjects enrolled in different population-based studies.
Peripheral blood samples will be available for biological investigations. A low-cost,
high-throughput platform for mutation screening of 72 genes known to be relevant in MDS will
be used.
1b) In order to gain further insight into the MDS genetic heterogeneity, the investigators
will perform DNA sequencing in hematopoietic progenitors single cells to clarify the clonal
architecture of marrow dysplasia in HSC, the dynamics of clonal establishment and expansion
during hematopoietic differentiation, and their relationship with the disease phenotype and
evolution
1c) In selected elderly individuals, the investigators will study the transcriptome (RNA
sequencing) of isolated mesenchymal stromal cells (MSC) and marrow microenvironment (i.e.,
innate ad adaptive immunity) with the aim to identify niche factors that may influence the
development of a MDS phenotype in elderly subjects with clonal hematopoiesis. Moreover, in
patients suffering from both MDS and autoimmune disorder, the investigators will analyze
immunological parameters. They will be compared with those of patients with MDS but without
immune disorder, and patients with immune disorders without MDS
AIM2
In myeloid malignancies, it was shown that large knowledge banks of matched genomic-clinical
data can improve clinical decision-making.
In the present project, basing on large MDS populations with comprehensive genomic and
clinical data available within EuroBloodNet network (data on >3000 patients will be
available), the investigators will develop inclusive, multistage statistical models (Bayesian
network analysis and clustering) to accurately predict clinical outcomes in MDS at
individual-patient level. The investigators plan to define 2 homogenous clinical cohorts in
order to define distinct patterns and genetic groups within MDS and to independently validate
their predictive value. As a research tool, the investigators plan to create a prototype
portal within our EuroBloodNet website that allows outcome predictions to be generated based
on this data set for user-defined constellations of genomic features and clinical variables.
The reliability of this tool on clinical decision making will be tested in a prospective
observational trial in the context of EuroBloodNet
AIM3
The investigators will analyze the mutational status and immune landscape associated with
response to HMA in MDS patients enrolled in prospective clinical trials conducted within the
EuroBloodNet network. Patients treated with azacitidine from prospective studies will be
available for biological investigations to define biomarkers associated with clinical
response. Validation of biomarkers will then be performed in an independent cohort. In all
these studies, biobanking of bone marrow (BM) and peripheral blood (PB) samples has been
systematically performed, providing a unique resource to be investigated within this
proposal. Data on mutational screening and immune profiles are already available in most
patients, and were obtained by comparable methods. For mutation screening, a NGS approach
covering key genes involved in myeloid malignancies and the response to HMA was used. For a
comprehensive immunological characterization of T lymphocytes, NK cells and ILC cells,
standardized flow cytometric protocols were used, which will provide novel insights into
frequency, differentiation and activity of these cells in response to therapy. Complementary
immunoassays based on Luminex technology will be used to quantify secretory proteins
(cytokines, chemokines, growth factors) in BM and PB plasma samples.
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