Literature DB >> 16299235

Specialized DNA arrays for the differentiation of pancreatic tumors.

Malte Buchholz1, Hans A Kestler, Andrea Bauer, Wolfgang Böck, Bettina Rau, Gerhard Leder, Wolfgang Kratzer, Martin Bommer, Aldo Scarpa, Martin K Schilling, Guido Adler, Jörg D Hoheisel, Thomas M Gress.   

Abstract

PURPOSE: Malignant tumors of the pancreas are frequently indistinguishable from inflammatory tumors arising in the context of a chronic pancreatitis with the use of conventional imaging techniques. Thus, cytologic analysis of cells obtained by abdominal ultrasound, computed tomography, or endoscopic ultrasound-guided fine needle aspiration biopsy is required for diagnosis. However, the reliability of cytologic analyses of pancreatic fine needle aspirates remains unsatisfactory, with a diagnostic accuracy of < or =80%. The purpose of the current study was therefore to develop a novel diagnostic approach based on expression profiling of biopsy material using a specialized diagnostic cDNA array. EXPERIMENTAL
DESIGN: Previous gene expression profiling studies were reevaluated to design a 558-feature diagnostic array. Minimal amounts of residual material from pancreatic cytology samples as well as surgically resected tumor and control tissue specimens were analyzed using the diagnostic array and a newly developed statistical classification system. RESULTS AND
CONCLUSIONS: Our diagnostic approach resulted in 95% accurate differentiation between ductal adenocarcinomas and nonmalignant tumors of the pancreas. The diagnostic array, in conjunction with conventional diagnostic procedures, is thus suitable to significantly improve the reliability of pancreatic cancer diagnostics and can be expected to become a valuable new tool in the routine workup of suspect masses in the pancreas.

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Year:  2005        PMID: 16299235     DOI: 10.1158/1078-0432.CCR-05-1274

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  12 in total

Review 1.  Biology and management of pancreatic cancer.

Authors:  Paula Ghaneh; Eithne Costello; John P Neoptolemos
Journal:  Gut       Date:  2007-08       Impact factor: 23.059

2.  Differentiation of multiple types of pancreatico-biliary tumors by molecular analysis of clinical specimens.

Authors:  Thomas M Gress; Hans A Kestler; Ludwig Lausser; Lisa Fiedler; Bence Sipos; Christoph W Michalski; Jens Werner; Nathalia Giese; Aldo Scarpa; Malte Buchholz
Journal:  J Mol Med (Berl)       Date:  2011-11-26       Impact factor: 4.599

Review 3.  Imaging modalities for characterising focal pancreatic lesions.

Authors:  Lawrence Mj Best; Vishal Rawji; Stephen P Pereira; Brian R Davidson; Kurinchi Selvan Gurusamy
Journal:  Cochrane Database Syst Rev       Date:  2017-04-17

4.  Dual-color proteomic profiling of complex samples with a microarray of 810 cancer-related antibodies.

Authors:  Christoph Schröder; Anette Jacob; Sarah Tonack; Tomasz P Radon; Martin Sill; Manuela Zucknick; Sven Rüffer; Eithne Costello; John P Neoptolemos; Tatjana Crnogorac-Jurcevic; Andrea Bauer; Kurt Fellenberg; Jörg D Hoheisel
Journal:  Mol Cell Proteomics       Date:  2010-02-16       Impact factor: 5.911

5.  [Diagnostics and therapy of chronic pancreatitis].

Authors:  A König; U König; T Gress
Journal:  Internist (Berl)       Date:  2008-06       Impact factor: 0.743

Review 6.  Basic principles and technologies for deciphering the genetic map of cancer.

Authors:  Georgios Voidonikolas; Stephanie S Kreml; Changyi Chen; William E Fisher; F Charles Brunicardi; Richard A Gibbs; Marie-Claude Gingras
Journal:  World J Surg       Date:  2009-04       Impact factor: 3.352

7.  MOTA: Multi-omic integrative analysis for biomarker discovery.

Authors:  Ziling Fan; Yuan Zhou; Habtom W Ressom
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2019-07

8.  Tissue and serum microRNAs in the Kras(G12D) transgenic animal model and in patients with pancreatic cancer.

Authors:  Joseph J LaConti; Narayan Shivapurkar; Anju Preet; Anne Deslattes Mays; Ivana Peran; Sung Eun Kim; John L Marshall; Anna T Riegel; Anton Wellstein
Journal:  PLoS One       Date:  2011-06-27       Impact factor: 3.240

9.  Diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis by measurement of microRNA abundance in blood and tissue.

Authors:  Andrea S Bauer; Andreas Keller; Eithne Costello; William Greenhalf; Melanie Bier; Anne Borries; Markus Beier; John Neoptolemos; Markus Büchler; Jens Werner; Nathalia Giese; Jörg D Hoheisel
Journal:  PLoS One       Date:  2012-04-12       Impact factor: 3.240

10.  Human equilibrative nucleoside transporter 1 and Notch3 can predict gemcitabine effects in patients with unresectable pancreatic cancer.

Authors:  K Eto; H Kawakami; M Kuwatani; T Kudo; Y Abe; S Kawahata; A Takasawa; M Fukuoka; Y Matsuno; M Asaka; N Sakamoto
Journal:  Br J Cancer       Date:  2013-03-14       Impact factor: 7.640

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