Posts by Leo L. Cheng, PhD
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Newly Identified Metabolic Targets May Improve Treatment of C. difficile
Leo L. Cheng, PhD, Lynn Bry, MD, PhD, and colleagues used live-cell high-resolution magic angle spinning 13-carbon–labeled nuclear magnetic resonance spectroscopy to investigate dynamic anaerobe metabolism. Their findings identify new preventive and therapeutic strategies to counter Clostridioides difficile infections.
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Metabolomic Information Highly Useful for Predicting Future Prostate Cancer
Leo Cheng, PhD, and colleagues present evidence that metabolomic alterations detected with high-resolution magic angle spinning 1H nuclear magnetic resonance spectroscopy can differentiate between patients with benign prostate biopsies who will or will not receive a prostate cancer diagnosis over the following years.
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New Research Indicates Promising Future for Prostate Cancer Diagnosis
Research conducted by Dr. Adam Feldman, Dr. Leo Cheng, and colleagues shows promising results for a non-invasive technique detecting metabolic signature between benign and cancerous prostate tissue.
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A New Approach to Identifying Malignant Tumors in Tuberous Sclerosis Complex
Most of the renal lesions found in patients with tuberous sclerosis complex are benign, though occasionally, they can be cancerous. A research team at Massachusetts General Hospital is improving doctors' ability to differentiate between benign and malignant masses for the best patient care possible.
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Novel Assessment Method Aims to Reduce Overtreatment of Prostate Cancer
Researchers at Massachusetts General Hospital have demonstrated, for the first time, that metabolic profiles of prostatectomy samples can differentiate tumor grade and stage, differentiate cancer aggressiveness and help predict recurrence and survival.
Biography
The aims of my research are:
1) to investigate metabolic signatures for the diagnosis and prognostication of human malignancies which may be more sensitive and specific than those now available in clinic
2) to establish adjunct MRS and MRI protocols that may improve the accuracy of clinical pathology
3) to develop linkages between ex vivo tumor evaluation and in vivo non-invasive diagnosis with MR technologies