Endoscopic Ultrasound Tissue Acquisition for Genomic Analysis of Pancreatic Cancer Using Liquid Next-Generation Sequencing

2018 ◽  
Vol 113 (Supplement) ◽  
pp. S13
Author(s):  
Nadim Mahmud ◽  
Sherif Elhanafi ◽  
Michael L. Kochman ◽  
Gregory Ginsberg ◽  
Norge Vergara ◽  
...  
2019 ◽  
Vol 8 (8) ◽  
pp. 1173 ◽  
Author(s):  
Imaoka ◽  
Sasaki ◽  
Hashimoto ◽  
Watanabe ◽  
Ikeda

Pancreatic cancer is a lethal cancer with an increasing incidence. Despite improvements in chemotherapy, patients with pancreatic cancer continue to face poor prognoses. Endoscopic ultrasound-guided tissue acquisition (EUS-TA) is the primary method for obtaining tissue samples of pancreatic cancer. Due to advancements in next-generation sequencing (NGS) technologies, multiple parallel sequencing can be applied to EUS-TA samples. Genomic biomarkers for therapeutic stratification in pancreatic cancer are still lacking, however, NGS can unveil potential predictive genomic biomarkers of treatment response. Thus, the importance of NGS using EUS-TA samples is becoming recognized. In this review, we discuss the recent advances in EUS-TA application for NGS of pancreatic cancer.


2019 ◽  
Vol 20 (12) ◽  
pp. 2929 ◽  
Author(s):  
Nicoletta Coccaro ◽  
Luisa Anelli ◽  
Antonella Zagaria ◽  
Giorgina Specchia ◽  
Francesco Albano

Acute lymphoblastic leukemia (ALL) is the most common childhood cancer and accounts for about a quarter of adult acute leukemias, and features different outcomes depending on the age of onset. Improvements in ALL genomic analysis achieved thanks to the implementation of next-generation sequencing (NGS) have led to the recent discovery of several novel molecular entities and to a deeper understanding of the existing ones. The purpose of our review is to report the most recent discoveries obtained by NGS studies for ALL diagnosis, risk stratification, and treatment planning. We also report the first efforts at NGS use for minimal residual disease (MRD) assessment, and early studies on the application of third generation sequencing in cancer research. Lastly, we consider the need for the integration of NGS analyses in clinical practice for genomic patients profiling from the personalized medicine perspective.


2018 ◽  
Vol 15 (6) ◽  
Author(s):  
Rene S. Hendriksen ◽  
Susanne Karlsmose Pedersen ◽  
Pimlapas Leekitcharoenphon ◽  
Burkhard Malorny ◽  
Maria Borowiak ◽  
...  

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