Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Dr Onima Chowdhury will investigate the clinical application of single cell sequencing for early diagnosis and response prediction in myelodysplastic syndromes.

White blood cells in amongst red blood cells

Myelodysplastic syndromes (MDS) are a group of blood cancers in which the bone marrow fails to make normal levels of blood cells. MDS can be broadly classified into two major groups: high-risk MDS, in which patients progress to acute myeloid leukaemia with a very poor survival rate; and low-risk MDS, in which the disease is less aggressive but patients still suffer from a huge burden of symptoms, often the result of anaemia.

There are a number of exciting new targeted treatment options for low-risk MDS. However, these do not work in all patients and, particularly given the high economic cost of newer treatments, current biomarkers are not sufficiently predictive of treatment response. There is a need to more precisely categorise MDS to predict the disease trajectory and the response to therapy so that the most effective treatment can be given to each patient.

Large investments in sequencing technology in clinical laboratory services are enabling precision medicine in certain cancers and revolutionising patient care. Dr Onima Chowdhury, MRC Clinical Academic Research Fellow and Consultant Haematologist (MRC Weatherall Institute of Molecular Medicine and Oxford University Hospitals) is working with Professor Adam MeadDr Supat Thongjuea and Dr Lynn Quek at the MRC WIMM to explore the use of single-cell genomics in the clinical diagnosis and management of MDS. Funded by a Cancer Research UK Early Detection and Diagnosis Primer Award, the team will seek to develop a simple, clinically applicable processing and analysis pipeline, as well as identifying biomarkers that correlate and can perhaps supersede current diagnostic modalities.

Long-term, the team hope that this approach will be able to improve outcomes of patients through improved diagnosis, risk prediction and targeted treatment in MDS and other haematological malignancies.

Similar Stories

Unique Clinical Imaging Dataset Released for Artificial Intelligence Research to Accelerate Diagnosis of Prostate Cancer

The National Cancer Imaging Translational Accelerator (NCITA) in partnership with the ReIMAGINE Consortium have announced the release of a unique clinical imaging dataset from the Prostate MRI Imaging Study (PROMIS)).

CRUK funding to investigate the molecular drivers of stomach cancer

Dr Francesco Boccellato wins a CRUK Early Detection and Diagnosis primer award to study tissue shape changes in the pre-cancerous stomach conditions, atrophic gastritis and intestinal metaplasia

First patient diagnosed earlier using liquid biopsy technology as part of the AI-REAL programme in sub-Saharan Africa

The AI-REAL programme led by Professor Anna Schuh and research teams in Tanzania and Uganda is improving the early detection and outcomes of childhood lymphoma in the region by increasing the speed and precision of diagnosis.