Clinical trial NCT04174547: An European Platform for Translational Research in Myelodysplastic Syndromes
Official title: An Integrated European Platform to Conduct Translational Studies in Myelodysplastic Syndromes Based on the EuroBloodNet Infrastructure
Study type: OBSERVATIONAL
Overall status: UNKNOWN
Conditions: Myelodysplastic Syndromes
Keywords: Somatic mutations
Clonal hematopoiesis
Biomarkers
Immune escape
Innovative predictive models
EuroBloodNet
Lead sponsor: Istituto Clinico Humanitas
Sponsor class: OTHER
First posted: 2019-11-22
Enrollment: 8670
Sex: ALL
Minimum age (years): 18
Standard ages: ADULT
OLDER_ADULT
Accepts healthy volunteers: no
Observational model: COHORT
Time perspective: OTHER
Sampling method: NON_PROBABILITY_SAMPLE
Study population: AIM 1 Individuals enrolled in the population-based "Health and Anemia" and "Monzino 80+" studies, with biological samples available at prevalence day

AIM 2 Patients receiving a diagnosis of MDS within EuroBloodNet clinical network, for which complete information on clinical and DNA mutational screening data is available

AIM 3

* Testing cohort: MDS patients treated with HMAs within prospective clinical trials (VidazaAllotrial, RELAZA02 trial, AZA-Ida study, intensive AZA study), with biological samples availability
* Validation cohort: adults MDS patients treated with HMAs within the prospective clinical trial AZA-PLUS, with biological samples availability

Brief summary: 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

Detailed description: 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.

Eligibility criteria: AIM 1

Inclusion Criteria:

- Individuals aged 65 years or older from population-based studies (retrospective cohort)

Exclusion Criteria:

- lack of biological samples availability

AIM 2

Inclusion Criteria:

- adults patients (\>18 years) with a diagnosis of MDS according to WHO criteria (retrospective cohort)

Exclusion Criteria:

- lack of availability of information on clinical and DNA mutational screening data

AIM 3

Inclusion Criteria:

- adults patients (\>18 years) with a diagnosis of MDS according to WHO criteria and treated with HMAs

Exclusion Criteria:

- lack of biological samples availability

Primary outcomes:
measure: DNA mutations in hematopoietic cells
timeFrame: 0-24 months
measure: RNA expression on hematopoietic progenitors and mesenchymal stromal cells
timeFrame: 6-24 months
measure: Predictive biomarkers for survival and response to treatment
timeFrame: 0-30 months
measure: Frequency and function of T lymphocytes, NK cells and ILC cells
timeFrame: 6-30 motnhs
Secondary outcomes:
Other outcomes:
Locations:
city: Paris
country: France
facility: Service d'hématologie séniors - Hôpital St Louis / Université Paris 7
city: Leipzig
country: Germany
facility: University of Leipzig Medical Center
city: Rozzano
country: Italy
facility: Istituto Clinico Humanitas
state: Milan
city: Barcelona
country: Spain
facility: Josep Carreras Leukaemia Research Institute (IJC)
Study officials:
affiliation: HUMANITAS Cancer Center
name: Matteo Della Porta, MD
role: PRINCIPAL_INVESTIGATOR
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