Dr. Bharat Kwatra Comp. Precision Oncology
Haemato-Oncology

Myelodysplastic Syndromes

Myelodysplastic syndromes are clonal marrow disorders producing ineffective blood production, with a risk of progression to acute myeloid leukaemia. Risk stratification drives essentially the whole management discussion.

Disease categories

Major disease categories

  • MDS with low blasts
  • MDS with increased blasts
  • MDS with isolated del(5q)
  • MDS with SF3B1 mutation
  • Therapy-related MDS

Molecular

Molecular considerations

SF3B1, TP53, ASXL1, SRSF2, RUNX1 and TET2 alterations inform classification and prognosis. TP53 status, particularly biallelic alteration, identifies a distinct high-risk group. del(5q) defines a specific entity.

Fig. 1 · Biomarker panel 8 markers

Markers commonly discussed in myelodysplastic syndromes

  • SF3B1
  • TP53 (mono- vs biallelic)
  • ASXL1
  • SRSF2
  • RUNX1
  • del(5q)
  • Karyotype
  • Blast percentage

Not exhaustive, and not every marker is assessed in every patient. Which of these is relevant depends on the individual case and should be discussed with the treating team.

Testing

Genomic testing considerations

Cytogenetics and a molecular panel are integral to classification and to risk scoring.

Germline

Germline considerations

Germline predisposition is an important consideration in younger patients and before a related donor transplant.

Cancer genetics and hereditary risk

Molecular monitoring

ctDNA and liquid biopsy considerations

Marrow assessment remains the established route; circulating assessment is investigational.

More on ctDNA

Single-cell & computation

Single-cell and algorithmic approaches

Haematological malignancy is where single-cell analysis is most directly applicable, because the tissue is already a cell suspension. Single-cell DNA sequencing resolves whether co-occurring alterations sit in the same clone or in competing clones — a distinction bulk sequencing cannot make and which changes the interpretation substantially. Single-cell RNA analysis characterises differentiation state and microenvironmental interaction. Algorithm work includes measurable residual disease detection at high sensitivity, clonal phylogeny reconstruction across timepoints, and risk models built on combined cytogenetic and molecular features.

scDNA-seqscRNA-seqClonal reconstructionAlgorithm developmentPipeline engineering

Technical expertise

Decisions

Treatment decision questions

Questions worth raising with a treating team when a decision is being made:

  • Has a formal risk score been calculated using cytogenetics and molecular findings?
  • Has TP53 status been assessed, including whether alteration is biallelic?
  • Has germline predisposition been considered before a family donor is selected?

Resistance

Resistance and recurrence questions

  • Has the marrow been reassessed if blood counts change?
  • Has progression to acute leukaemia been excluded?

Trials

Clinical trial considerations

Risk group and specific molecular alterations shape eligibility.

Clinical trial matching

When a precision oncology review may help

A review is most useful where the standard pathway has been exhausted or where the picture is more complicated than a protocol accounts for — rare presentations, treatment resistance, complex or apparently contradictory molecular findings, or a decision between several defensible options.

The output is a structured analysis and a set of questions for the treating team. It is not treatment, and it does not replace the treating oncologist.

Educational information. Medical information on this page is educational. It is not a treatment guideline and should be discussed with your treating medical team.
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Talk it through before you decide

Monday to Saturday, 12:00 – 18:00 · by appointment at KPCIRC, Paschim Vihar. Remote review available for patients and clinicians elsewhere.

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