New InFlo Computer Method Predicts Cancer Cell Activity, Identifies Biomarkers

New InFlo Computer Method Predicts Cancer Cell Activity, Identifies Biomarkers
A new computed-based method called InFlo assesses cellular communication networks and identifies disease-specific network anomalies that can cause cancer and other diseases. This new tool may facilitate the discovery of new biomarkers and targets for therapy. The InFlo tool, which resulted from the collaborative work of Case Western Reserve University School of Medicine with researchers at Philips and Princeton University, was described in the study “InFlo: a novel systems biology framework identifies cAMP-CREB1 axis as a key modulator of platinum resistance in ovarian cancer,” published in Oncogene. "Complex diseases such as cancer involve the simultaneous disruptions of multiple cellular processes acting in tandem," Vinay Varadan, PhD, assistant professor at Case Western School of Medicine, a member of the Case Comprehensive Cancer Center, and senior author of the study, said in a press release. "We developed InFlo to robustly integrate multiple molecular data streams and develop an integrative molecular portrait of an individual cancer sample." This new tool integrates data related to each level of cell communication, including genes, proteins, and other elements commonly attached to proteins, such as chemical methyl groups. Making use of mathematical strategies, InFlo can gather all the information to build activity webs to reveal protein interactions most likely to cause disease. InFlo can be used to compare healthy and
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