ArticleOncotarget2017
Assessment of pancreatic neuroendocrine tumor cytologic genotype diversity to guide personalized medicine using a custom gastroenteropancreatic next-generation sequencing panel.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 27 citations in OpenAlex.
- Prognostic and Predictive Significance of Selected Gene Mutations in Pancreatic and Intestinal Neuroendocrine Tumors.International journal of molecular sciences · 2026Review
- Diagnostic utility of targeted next-generation sequencing in indeterminate pancreaticobiliary cytology and small biopsy specimens: a prospective cohort study.Virchows Archiv : an international journal of pathology · 2026Article
- The Utility of Endoscopic-Ultrasonography-Guided Tissue Acquisition for Solid Pancreatic Lesions.Diagnostics (Basel, Switzerland) · 2022Review
- An update on the diagnosis of gastroenteropancreatic neuroendocrine neoplasms.World journal of gastroenterology · 2022Review
- Evaluating Pancreatic and Biliary Neoplasms with Small Biopsy-Based Next Generation Sequencing (NGS): Doing More with Less.Cancers · 2022Review
- Feasibility ofDiagnostics (Basel, Switzerland) · 2021Article
- Pancreatic neuroendocrine tumors: Therapeutic challenges and research limitations.World journal of gastroenterology · 2020Review
- PAM staining intensity of primary neuroendocrine neoplasms is a potential prognostic biomarker.Scientific reports · 2020Article
- Article
- Genetic Analysis of Small Well-differentiated Pancreatic Neuroendocrine Tumors Identifies Subgroups With Differing Risks of Liver Metastases.Annals of surgery · 2020Article
- Prognostic and predictive factors on overall survival and surgical outcomes in pancreatic neuroendocrine tumors: recent advances and controversies.Expert review of anticancer therapy · 2019Review
- New Era of Endoscopic Ultrasound-Guided Tissue Acquisition: Next-Generation Sequencing by Endoscopic Ultrasound-Guided Sampling for Pancreatic Cancer.Journal of clinical medicine · 2019Review
- VARIFI-Web-Based Automatic Variant Identification, Filtering and Annotation of Amplicon Sequencing Data.Journal of personalized medicine · 2019Article
- Molecular Genetic Studies of Pancreatic Neuroendocrine Tumors: New Therapeutic Approaches.Endocrinology and metabolism clinics of North America · 2018Review
- Converging blockchain and next-generation artificial intelligence technologies to decentralize and accelerate biomedical research and healthcare.Oncotarget · 2018Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundRecent genetic studies have highlighted that alterations in MEN1, chromatin remodeling genes, and mammalian target of rapamycin (mTOR) pathway genes are the most frequent molecular events identified in pancreas neuroendocrine tumors (pNETs). The prognostic or predictive impact of these biomarkers and other less frequently observed aberrations, i.e. PTEN, TSC2 and PIK3CA are relatively unknown. The aims of this targeted next generation sequencing (NGS) study were to assess tumor cytology genotype diversity, to survey for potential adverse prognostic biomarkers and the prevalence of mTOR pathway variants.
methodsUsing a custom 15 gene gastroenteropancreatic neuroendocrine tumor panel, targeted NGS of archived (2002-2013) primary pNETs (n=90) and pNET liver metastasis (n=32) cytology smears was performed.
resultsThe genetic variant landscape revealed that 21% and 28% of primary and metastatic liver pNETs harbored ≥ 2 variants per tumor, respectively. The most prevalent primary tumor variants were in the MEN1 (42%), DAXX (11%), ATRX (10%), and TSC2 (8%) genes. Patients harboring aberrations in TSC2, KRAS or TP53 were more likely to experience disease progression and reduced overall survival, when compared to individuals who were wild-type. The prevalence of these potential prognostic biomarkers in early disease was observed in 3.3% of the primary tumor cohort. mTOR pathway variants including alterations in PTEN, TSC2 and PIK3CA were identified in 10% and 12.5% of primary tumors and pNET liver metastasis, respectively.
conclusionCytology based tumor genotyping revealed a broad spectrum of genetic variants including possible adverse prognostic biomarkers, reflective of an aggressive phenotype. It also demonstrated the prevalence of potential predictive biomarkers for mTOR pathway inhibitor sensitivity.
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