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Diane M. Simeone

Researcher at University of Michigan

Publications -  297
Citations -  23025

Diane M. Simeone is an academic researcher from University of Michigan. The author has contributed to research in topics: Pancreatic cancer & Cancer. The author has an hindex of 66, co-authored 261 publications receiving 20569 citations. Previous affiliations of Diane M. Simeone include New York University & University of Texas MD Anderson Cancer Center.

Papers
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Proceedings ArticleDOI

Modeling Reflectance and Fluorescence Spectra of Human Pancreatic Tissues for Cancer Diagnostics

TL;DR: Reflectance and fluorescence spectroscopy were used in a limited pilot study to probe freshly excised human pancreatic tissues; mathematical modeling of the data quantitatively showed biologically relevant physical differences between normal tissue, pancreatitis, and cancer.

Screening for depression, sleep-related disturbances, and anxiety in patients with adenocarcinoma of

TL;DR: Depression, anxiety, and sleep problems are evident in patients with pancreatic cancer and Prospective, longitudinal studies are needed to determine if these comorbid symptoms impact outcome and clinical course.
Journal ArticleDOI

POLQ inhibition elicits an immune response in homologous recombination–deficient pancreatic adenocarcinoma via cGAS/STING signaling

TL;DR: In this article , the authors showed that the inhibition of polymerase theta (Polθ) is synthetically lethal in combination with mutations in homologous recombination-repair (HR-repair) proteins in pancreatic ductal adenocarcinoma (PDAC).
Journal ArticleDOI

Phase I study of definitive chemoradiation with gemcitabine and the WEE1 inhibitor AZD1775 in unresectable pancreatic cancer.

TL;DR: A phase I dose escalation study of the WEE1 inhibitor AZD1775 with gemcitabine and radiation in patients with unresectable pancreatic cancer to determine the maximum tolerated dose.
Patent

Pancreatic cancer markers

TL;DR: In this article, a method and compositions for the identification of protein glycosylation patterns associated with pancreatic cancer was presented, and the method was applied to pancreatic markers.