Limerick Digital Cancer Research Centre

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The Limerick Digital Cancer Research Centre is a multidisciplinary initiative dedicated to improving our understanding of the fundamental biology of cancer and using this new knowledge to find better ways to prevent, diagnose and treat the disease.

Congratulations to Prof. Aedin Culhane, Director of the Limerick Digital Cancer Research Centre on her collaboration in ...
03/05/2024

Congratulations to Prof. Aedin Culhane, Director of the Limerick Digital Cancer Research Centre on her collaboration in the article 'The 1+Million Genomes Minimal Dataset for Cancer’ which was published today in Nature Genetics.

Defining minimal standards for data collection is key to creating interoperative, searchable genomic and clinical databases. We highlight here the 1+Million Genomes Minimal Dataset for Cancer, encompassing 140 items in 8 domains to foster the collection of cancer data, inform transnational cooperati...

Congratulations to Dr James Brown and Dr Amirhossein Jalali on your recent publication. Your publication deserves much d...
02/03/2023

Congratulations to Dr James Brown and Dr Amirhossein Jalali on your recent publication. Your publication deserves much deserved recognition, and we look forward to your future publications.

Peripheral Blood Cell Ratios as Prognostic Indicators in a Neoadjuvant Chemotherapy-Treated Breast Cancer Cohort Amirhossein Jalali and James A. L. Brown

Our multidisciplinary study investigated how we can actively use commonly collected information, found in the blood of breast cancer patients treated with neoadjuvant chemotherapy, to provide clinicians with a new prognostic aid for the management of breast cancer. We found that comparing numbers of key blood-based cell types (giving us immunocyte ratios) allowed us to predict overall survival and disease-free survival of patients in some key breast cancer subtypes.

Clinically, calculating these ratios is a simple and quick use of existing data, and provides another useful way for clinicians to predict how some breast cancer patients will respond to treatment, improving their disease management.

https://doi.org/10.3390/curroncol29100591

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