Dipanjan Chowdhury, PhD
Chief, Division of Radiation and Genome Stability, and Svanberg Family Chair, Dana-Farber
Professor of Radiology, Harvard Medical School
MicroRNAs as a biomarker for pancreatic cancer, for an affordable test that is potentially fast, with high specificity and sensitivity.
Researchers from Dana-Farber Cancer Institute and from Medical University Lodz are known for their collaborative work on developing microRNAs as biomarkers for diseases including cancer. Applying newly developed dedicated machine learning training protocols to patient samples, their labs identified a panel of microRNAs as a biomarker for pancreatic cancer. These microRNAs can be isolated from bodily fluids via non-invasively sampling of circulating blood. Their subsequent sequencing is done via widely available qPCR or miRNA sequencing techniques. Through statistical analysis, by feeding the sequence data into the fully trained machine learning algorithm, a pancreatic cancer risk score is obtained.
The effectiveness of this method was tested in experiments with a randomly mixed cohort of healthy and pancreatic cancer patients. Employing miRNA sequencing techniques identified pancreatic cancer with a sensitivity and specificity of 71% and 91%, respectively, while qPCR techniques resulted in a sensitivity and specificity of 76% and 92%, respectively.
This technology offers multiple distinct advantages:
Team Members: Dipanjan Chowdhury, PhD, Wojciech Fendler, MD, PhD, Konrad Stawiski, MD, PhD
Adaptation of this potentially new diagnostic could be gradual starting with high-risk patients (e.g., obese, diabetic, and/or with a history of smoking) followed by the general population as part of an annual health check-in together with other tests requiring a blood sample (e.g., a lipid panel with a total cholesterol test).
Dana-Farber Cancer Institute is looking for the right partner with an interest in licensing this asset for further development into a new pancreatic cancer diagnostic.
Chief, Division of Radiation and Genome Stability, and Svanberg Family Chair, Dana-Farber
Professor of Radiology, Harvard Medical School
Former Postdoctoral Research Fellow, Dipanjan Chowdhury Lab, Dana-Farber
Former Postdoctoral Research Fellow, Kent Mouw Lab, Dana-Farber