Molecular Profiling of Appendiceal Epithelial Tumors Using Massively Parallel Sequencing to Identify Somatic Mutations | Zendy

Xiaoying Liu | Zendy; Kabir Mody | Zendy; Francine B. de Abreu | Zendy; J. Marc Pipas | Zendy; Jason D. Peterson | Zendy; Torrey L. Gallagher | Zendy; Arief A. Suriawinata | Zendy; Gregory H. Ripple | Zendy; Kathryn Cunningham Hourdequin | Zendy; Kerrington D. Smith | Zendy; Richard J. Barth | Zendy; Thomas A. Colacchio | Zendy; Michael J. Tsapakos | Zendy; Bassem I. Zaki | Zendy; Timothy B. Gardner | Zendy; Stuart R. Gordon | Zendy; Christopher I. Amos | Zendy; Wendy A. Wells | Zendy; Gregory J. Tsongalis | Zendy

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Molecular Profiling of Appendiceal Epithelial Tumors Using Massively Parallel Sequencing to Identify Somatic Mutations

Author(s) -

Xiaoying Liu,

Kabir Mody,

Francine B. de Abreu,

J. Marc Pipas,

Jason D. Peterson,

Torrey L. Gallagher,

Arief A. Suriawinata,

Gregory H. Ripple,

Kathryn Cunningham Hourdequin,

Kerrington D. Smith,

Richard J. Barth,

Thomas A. Colacchio,

Michael J. Tsapakos,

Bassem I. Zaki,

Timothy B. Gardner,

Stuart R. Gordon,

Christopher I. Amos,

Wendy A. Wells,

Gregory J. Tsongalis

Publication year - 2014

Publication title -

clinical chemistry

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.705

H-Index - 218

eISSN - 1530-8561

pISSN - 0009-9147

DOI - 10.1373/clinchem.2014.225565

Subject(s) - gnas complex locus , kras , stk11 , cdkn2a , biology , cancer research , pseudomyxoma peritonei , ros1 , hras , pdgfra , adenocarcinoma , cancer , gene , mutation , genetics , appendix , paleontology , gist , stromal cell

Some epithelial neoplasms of the appendix, including low-grade appendiceal mucinous neoplasm and adenocarcinoma, can result in pseudomyxoma peritonei (PMP). Little is known about the mutational spectra of these tumor types and whether mutations may be of clinical significance with respect to therapeutic selection. In this study, we identified somatic mutations using the Ion Torrent AmpliSeq Cancer Hotspot Panel v2.

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