A novel study has identified a range of metabolic biomarkers that could help predict the risk of cancer.
A novel study from the University of South Australia has identified a range of metabolic biomarkers that could help predict the risk of cancer.
The study,"Hypothesis-free discovery of novel cancer predictors using machine learning," was conducted by UniSA researchers: Dr Iqbal Madakkatel, Dr Amanda Lumsden, Dr Anwar Mulugeta, and Professor Elina Hyppönen, with University of Adelaide's Professor Ian Olver. Dr Amanda Lumsden says this study provides important information on mechanisms which may contribute to cancer risk."After age, high levels of urinary microalbumin was the highest predictor of cancer risk. Albumin is a serum protein needed for tissue growth and healing, but when present in your urine, it's not only an indicator of kidney disease, but also a marker for cancer risk.
"Normally, your red blood cells should be about the same size, and when there are discrepancies, it can correlate with higher inflammation and poorer renal function. As this study shows, also higher risk of cancer."
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