CancerStemID: One step closer to predicting cancer risk?
ResearchPod
English - February 23, 2024 11:00 - 10 minutes - 7.53 MBScience Technology science research outreach education stem learning academic technology impact scicomm Homepage Download Google Podcasts Overcast Castro Pocket Casts RSS feed
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With the exception of a few hereditary cancers, there is currently no accurate method to predict whether someone is going to get cancer.
Dr Andrew Teschendorff from the Shanghai Institute of Nutrition and Health, in collaboration with Dr Chen Wu from the Chinese Academy of Medical Sciences, has created a computational method called CancerStemID that could help calculate a patient’s risk of cancer by analysing a vast amount of RNA data from precancerous cells.
Read the original research: doi.org/10.1158/0008-5472.can-22-0668