Malignant Peripheral Nerve Sheath Tumors State of the Science: Leveraging Clinical and Biological Insights into Effective Therapies

Author:

Kim AeRang1ORCID,Stewart Douglas R.2,Reilly Karlyne M.3,Viskochil David4,Miettinen Markku M.5,Widemann Brigitte C.6

Affiliation:

1. Center for Cancer and Blood Disorders, Children’s National Health System, 111 Michigan Ave NW, Washington, DC 20010, USA

2. Clinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, 9609 Medical Center Drive, Room 6E450, Bethesda, MD 20892, USA

3. Rare Tumors Initiative, OD, CCR, National Cancer Institute, 37 Convent Drive, Bethesda, MD 20814, USA

4. University of Utah, 295 Chipeta Way, Salt Lake City, UT 84108, USA

5. Center for Cancer Research, National Cancer Institute, 10 Center Drive, Room 2S235C, Building 10, Bethesda, MD 20892, USA

6. National Cancer Institute, Pediatric Oncology Branch, 10 Center Drive, Room 1-3742, Building 10, Bethesda, MD 20892, USA

Abstract

Malignant peripheral nerve sheath tumor (MPNST) is the leading cause of mortality in patients with neurofibromatosis type 1. In 2002, an MPNST consensus statement reviewed the current knowledge and provided guidance for the diagnosis and management of MPNST. Although the improvement in clinical outcome has not changed, substantial progress has been made in understanding the natural history and biology of MPNST through imaging and genomic advances since 2002. Genetically engineered mouse models that develop MPNST spontaneously have greatly facilitated preclinical evaluation of novel drugs for translation into clinical trials led by consortia efforts. Continued work in identifying alterations that contribute to the transformation, progression, and metastasis of MPNST coupled with longitudinal follow-up, biobanking, and data sharing is needed to develop prognostic biomarkers and effective prevention and therapeutic strategies for MPNST.

Funder

NCI

Publisher

Hindawi Limited

Subject

Radiology, Nuclear Medicine and imaging,Oncology

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