Myelodysplastic Syndromes (MDS) and Related Models
Preclinical Hematology R&D Solutions
Online Inquiry

Myelodysplastic Syndromes (MDS) and Related Models

Inquiry

Ace Therapeutics is a specialized preclinical contract research organization dedicated to supporting drug development for hematological disorders. Our in vivo model platform for myelodysplastic syndromes (MDS) and related diseases provides reliable tools for investigating disease mechanisms, evaluating candidate therapies, and generating translational data essential for early-stage drug development.

The Disease and Its Research Challenges

Myelodysplastic Syndromes (MDS) represent a group of heterogeneous clonal hematopoietic disorders characterized by ineffective hematopoiesis, peripheral cytopenias, and a variable risk of progression to acute myeloid leukemia (AML). With a median onset age of 70 years and over 50% of high-risk patients progressing to AML, MDS presents significant therapeutic challenges due to its complex pathophysiology and limited treatment options.

Current preclinical research faces three critical hurdles:

  • Disease heterogeneity requiring precise molecular subtyping
  • Lack of predictive models that accurately recapitulate human disease progression
  • Limited translational value of conventional models in drug efficacy assessment

At Ace Therapeutics, we overcome these challenges through advanced genetically engineered models that capture the genetic diversity and clinical progression of human MDS.

Our Validated MDS Model Portfolio

We maintain the industry's most comprehensive collection of clinically relevant MDS models with extensive molecular and phenotypic validation:

Model Designation Background/Induction Method Key Validation Parameters Ideal For Evaluating
MDS-NSGS-SGM3 Patient-derived xenograft in NSGS-SGM3 mice - Human myeloid engraftment >80%
- Cytogenetic stability monitoring
- Progression to AML in high-risk subtypes
- Targeted therapies
- Antibody-based treatments
- Stem cell modulators
GEMM-NUP98-HOXD13 Conditional knock-in transgenic model - Dysplastic morphology
- Peripheral cytopenias
- Altered myeloid:erythroid ratio
- Epigenetic modulators
- Differentiation-inducing agents
CEBPAmut Model CRISPR-edited CEBPA mutations - Neutrophil dysfunction (NE-WX/Y/Z biomarkers)
- Characteristic blast morphology
- Bcl-2 inhibitors
- Combination therapies
TP53KO MDS/AML TP53 knockout with del(7q) induction - Therapy-related MDS progression
- Chemoresistance profiling
- IPSS-R correlation
- Novel apoptosis inducers
- Targeted protein degraders

Core Preclinical Services

Efficacy Pharmacology

We conduct mechanism-focused efficacy studies using disease-relevant endpoints:

  • Complete blood counts with differentials
  • Bone marrow blast percentage reduction
  • Lineage-specific recovery monitoring
  • Stem cell compartment normalization
  • Clonal burden reduction
  • Bioluminescent tracking of malignant clones

Pharmacokinetics/Pharmacodynamics (PK/PD)

Our specialized PK/PD platforms address hematology-specific challenges:

  • Bone marrow penetration studies: Microdialysis and LC-MS/MS quantification
  • Flow cytometric analysis of phospho-targets
  • Ex vivo pharmacodynamic assays
  • Impact of cytopenias on drug clearance
  • Protein binding alterations in MDS

Safety & Tolerability

Hematopoietic-specific safety assessment protocols:

  • Lineage-specific cytotoxicity profiling
  • Stem cell reserve assessment
  • Microenvironment toxicity endpoints
  • Bleeding diathesis risk evaluation

Translational Development

Biomarker discovery and validation services:

  • Multiparameter flow-based biomarker panels
  • Genomic predictor signatures
  • Automated morphology analysis
  • Machine learning models for patient stratification

Model Highlights and Validation

All models are rigorously validated through phenotypic characterization and molecular profiling. Common validation endpoints include:

  • Complete blood counts (CBCs) to assess cytopenias
  • Flow cytometry of bone marrow for lineage markers
  • Histopathological analysis of marrow dysplasia
  • Gene expression profiling and mutational analysis

Where available, models are cross-referenced to clinical data from human MDS subtypes to ensure translational relevance.

Recommended Applications

Our MDS in vivo model services are particularly suitable for evaluating:

  • Small molecule inhibitors targeting epigenetic regulators (e.g., DNMT, HDAC, IDH)
  • Spliceosome-targeted therapies
  • Bone marrow-supportive agents
  • Immunomodulatory drugs
  • Therapies designed to prevent MDS progression to AML

To learn more about our MDS in vivo model services or discuss a customized study plan, please contact our scientific team. We are committed to supporting your hematological drug development journey with scientifically validated, efficient, and customized preclinical solutions.

Frequently Asked Questions (FAQs)

Can I request a customized study protocol using a specific MDS mutation model?

Yes. We offer flexible study designs and can incorporate models with specific genetic alterations, such as Tet2 or SRSF2 mutations, depending on your therapeutic target.

What types of endpoints can be included in the study?

Endpoints can include hematological parameters (e.g., hemoglobin, platelets), bone marrow cellularity, lineage-specific flow cytometry, cytokine levels, and molecular expression profiles.

Do you offer patient-derived xenograft (PDX) models for MDS?

Yes. We provide human MDS PDX services using immunodeficient mice. These are suitable for evaluating human-specific therapeutic candidates.

Can your models simulate the transformation from MDS to AML?

We offer models such as the MLL-AF9 model, which mimics leukemic transformation. These are useful for studying therapies aimed at halting disease progression.

What data deliverables will I receive?

You will receive a complete study report including raw data, statistical analysis, graphical summaries, and methodology documentation.

HOW WE WORK

Make Order

Make Order

Experimental Scheme

Experimental Scheme

Implementation

Implementation

Conclusion

Conclusion