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Barbara Nutzinger on Muck Rack

Barbara Nutzinger

As seen in: Nature
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Articles

Integrated epidemiological and molecular data inform the relationship between precancer and cancer states of esophageal adenocarcinoma

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By Shahriar Zamani, Lianlian Wu, Emily Black, Alexander Bartram, Alvin Ng, Maria Secrier, Ahsen Ustaoglu, Emma Ococks, Daniel Jacobson, Ginny Devonshire, Nicola Grehan, Barbara Nutzinger, Adam Freeman, Ahmad Miremadi, Maria O’Donovan, Alexander Frankell, Sarah Killcoyne, Helen Coleman, Rebecca Fitzgerald, Jacqueline D. Perelman
| Nature Verified
Abstract Cancer generally takes years to evolve, and early diagnosis can prevent life-threatening cancer. Establishing a link between precancerous states and cancer is essential for effective screening and prevention. Esophageal adenocarcinoma (EAC) is an increasingly prevalent, poor-outcome cancer, and its presumed precursor, Barrett’s esophagus (BE), characterized by intestinal metaplasia, is evident in only about half of cases.
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Cellworks singula therapy response index (TRI) predicts clinical outcomes for esophageal adenocarcinoma: MyCare-004.

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By Drew Watson, Barbara Nutzinger, Michael Castro, Elizabeth Catherine Smyth
| ascopubs.org
Abstract 4064 Background: Computational biological modeling reveals many dysregulated signaling pathways responsible for hallmark behaviors of cancer and variable drug response in the population. A mechanistic model created for each patient using comprehensive genomic inputs can biosimulate downstream molecular effects of cell signaling and drugs for each patient’s personalized in silico virtual disease model.
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The landscape of selection in 551 esophageal adenocarcinomas defines genomic biomarkers for the clinic

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By Rebecca Fitzgerald, Nicola Grehan, Barbara Nutzinger, Ayesha Noorani
| Nature Verified
Abstract Esophageal adenocarcinoma (EAC) is a poor-prognosis cancer type with rapidly rising incidence. Understanding of the genetic events driving EAC development is limited, and there are few molecular biomarkers for prognostication or therapeutics. Using a cohort of 551 genomically characterized EACs with matched RNA sequencing data, we discovered 77 EAC driver genes and 21 noncoding driver elements.
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