Dr. Bharat Kwatra Comp. Precision Oncology
Haemato-Oncology

Myeloproliferative Neoplasms

Myeloproliferative neoplasms are clonal disorders producing an excess of mature blood cells. They are defined molecularly, and the specific driver alteration carries prognostic weight.

Disease categories

Major disease categories

  • Polycythaemia vera
  • Essential thrombocythaemia
  • Primary myelofibrosis
  • Chronic myeloid leukaemia
  • Chronic neutrophilic leukaemia

Molecular

Molecular considerations

JAK2 V617F, CALR and MPL alterations are the principal drivers in the BCR::ABL1-negative neoplasms. Chronic myeloid leukaemia is defined by BCR::ABL1. Additional high-molecular-risk alterations including ASXL1, EZH2, SRSF2 and IDH1/2 inform prognosis in myelofibrosis.

Fig. 1 · Biomarker panel 7 markers

Markers commonly discussed in myeloproliferative neoplasms

  • JAK2 V617F
  • CALR
  • MPL
  • BCR::ABL1
  • ASXL1
  • EZH2
  • Bone marrow fibrosis grade

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

Driver testing is integral to diagnosis. Extended panels are used for risk assessment in myelofibrosis.

Germline

Germline considerations

Familial predisposition to myeloproliferative neoplasms is described and considered where family history is suggestive.

Cancer genetics and hereditary risk

Molecular monitoring

ctDNA and liquid biopsy considerations

Quantitative monitoring of the driver allele burden is used in research and practice discussion.

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 driver mutation testing been completed, including CALR and MPL where JAK2 is negative?
  • Has BCR::ABL1 been excluded?
  • Is thrombotic risk documented and being managed?

Resistance

Resistance and recurrence questions

  • Has progression to myelofibrosis or acute leukaemia been considered where the clinical picture changes?

Trials

Clinical trial considerations

Driver alteration and risk score 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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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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