Image-based detection and targeting of therapy resistance in pancreatic adenocarcinoma

Journal: Nature

Published: 2016-06-06

DOI: 10.1038/nature17988

Affiliations: 14

Authors: 25

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Research Highlight

Tracking and targeting therapy resistance in pancreatic cancer

© Science Photo Library – STEVE GSCHMEISSNER

© Science Photo Library – STEVE GSCHMEISSNER

Detecting and disabling drug resistant genes that drive tumour growth could help fight pancreatic cancer. Currently, pancreatic cancer patients have just a six per cent chance of surviving for five years.

A team, including Keio University researchers, investigated the role of Musashi (Msi), a protein linked to pancreatic tumour growth. They bred mice with pancreatic tumours and introduced drug resistant genes that produce Msi. Live imaging of the tumours revealed that Msi generation increased as the cells became malignant. When the Msi genes were removed, the tumours only grew to a fifth of the size. The authors tested 400 chemicals that block these genes and found two which significantly reduced tumour growth.

"This suggests that Msi antagonists could be a new strategy for targeting resistance to chemotherapy." said study author, Tannishtha Reya, from UC San Diego in a statement.

Supported content

  1. Nature 534,407–411 (2016). doi: 10.1038/nature17988
Institutions FC WFC
Moores Cancer Center, UC San Diego, United States of America (USA) 0.15 0.15
Sanford Consortium for Regenerative Medicine, United States of America (USA) 0.13 0.13
Department of Physiology, Keio University, Japan 0.12 0.12
Department of Pharmacology, UC San Diego, United States of America (USA) 0.09 0.09
Department of Medicine, UC San Diego, United States of America (USA) 0.09 0.09
Department of Pathology, UC San Diego, United States of America (USA) 0.08 0.08
Ionis Pharmaceuticals, Inc., United States of America (USA) 0.08 0.08
School of Medicine (SOM), UC San Diego, United States of America (USA) 0.07 0.07
Department of Cellular and Molecular Medicine (CMM), UC San Diego, United States of America (USA) 0.04 0.04
Eppley Institute for Research in Cancer and Allied Diseases, UNMC, United States of America (USA) 0.04 0.04
Department of Pathology and Microbiology, UNMC, United States of America (USA) 0.04 0.04
Center for Computational Biology and Bioinformatics (CCBB), UC San Diego, United States of America (USA) 0.04 0.04
Department of Radiology, UC San Diego, United States of America (USA) 0.04 0.04

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