Dr. Bharat Kwatra Comp. Precision Oncology
Haemato-Oncology

Multiple Myeloma

Myeloma risk stratification rests substantially on cytogenetics. High-risk lesions identify disease that behaves differently, and their presence or absence shapes the whole discussion.

Disease categories

Major disease categories

  • Multiple myeloma
  • Smouldering myeloma
  • MGUS
  • Plasma cell leukaemia
  • Amyloidosis

Molecular

Molecular considerations

del(17p), t(4;14), t(14;16) and gain(1q) are among the lesions used in risk stratification. TP53 alteration carries adverse weight.

Fig. 1 · Biomarker panel 8 markers

Markers commonly discussed in multiple myeloma

  • del(17p)
  • t(4;14)
  • t(14;16)
  • gain(1q)
  • TP53
  • Serum free light chains
  • M-protein
  • MRD

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

Fluorescence in situ hybridisation on CD138-selected plasma cells is central; broader sequencing is used in research and selected practice.

Germline

Germline considerations

Considered where family history is suggestive.

Cancer genetics and hereditary risk

Molecular monitoring

ctDNA and liquid biopsy considerations

Measurable residual disease in marrow is the established monitoring approach; circulating assessment is an area of research.

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 cytogenetic risk stratification been performed on selected plasma cells?
  • Is measurable residual disease being assessed, and by what method?

Resistance

Resistance and recurrence questions

  • Has cytogenetics been repeated at relapse, given that the profile can evolve?

Trials

Clinical trial considerations

Risk group and prior therapy classes 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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