Literature DB >> 10918578

Distinct pattern of expression of differentiation and growth-related genes in squamous cell carcinomas of the head and neck revealed by the use of laser capture microdissection and cDNA arrays.

C Leethanakul1, V Patel, J Gillespie, M Pallente, J F Ensley, S Koontongkaew, L A Liotta, M Emmert-Buck, J S Gutkind.   

Abstract

Although risk factors for squamous cell carcinomas of the head and neck (HNSCC) are well recognized, very little is known about the molecular mechanisms responsible for this malignancy. Furthermore, the ability to investigate gene expression profiles at different stages of tumor progression is usually limited by the remarkable heterogeneity of these neoplastic lesions. Here, we show the successful use of laser capture microdissection (LCM) to procure specific cell populations. The 5000 cells from representative sets of HNSCC and their matching normal tissues are sufficient to extract RNA of high integrity for the synthesis of labeled amplified cDNA probes which can then be hybridized to these membranes arrayed with known human cancer-related cDNAs. Furthermore, when compared to normal tissues, we demonstrate a consistent decrease in expression of differentiation markers such as cytokeratins, and an increase in the expression of a number of signal transducing and cell cycle regulatory molecules, as well as growth and angiogenic factors and tissue degrading proteases. Unexpectedly, we also found that most HNSCC overexpress members of the wnt and notch growth and differentiation regulatory system, thus suggesting that the wnt and notch pathways may contribute in squamous cell carcinogenesis. This experimental approach may facilitate the identification candidate markers for the early detection of preneoplastic lesions, as well as novel targets for pharmacological intervention in this disease.

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Year:  2000        PMID: 10918578     DOI: 10.1038/sj.onc.1203703

Source DB:  PubMed          Journal:  Oncogene        ISSN: 0950-9232            Impact factor:   9.867


  66 in total

1.  cDNA array hybridization after laser-assisted microdissection from nonneoplastic tissue.

Authors:  Ludger Fink; Stephanie Kohlhoff; Maria Magdalena Stein; Jörg Hänze; Norbert Weissmann; Frank Rose; Ercan Akkayagil; Daniel Manz; Friedrich Grimminger; Werner Seeger; Rainer Maria Bohle
Journal:  Am J Pathol       Date:  2002-01       Impact factor: 4.307

2.  Laser capture microdissection and two-dimensional polyacrylamide gel electrophoresis: evaluation of tissue preparation and sample limitations.

Authors:  Rachel A Craven; Nick Totty; Patricia Harnden; Peter J Selby; Rosamonde E Banks
Journal:  Am J Pathol       Date:  2002-03       Impact factor: 4.307

3.  Accurate and reproducible gene expression profiles from laser capture microdissection, transcript amplification, and high density oligonucleotide microarray analysis.

Authors:  Veronica Luzzi; Mamatha Mahadevappa; Rajiv Raja; Janet A Warrington; Mark A Watson
Journal:  J Mol Diagn       Date:  2003-02       Impact factor: 5.568

Review 4.  Measurement of biomarker proteins for point-of-care early detection and monitoring of cancer.

Authors:  James F Rusling; Challa V Kumar; J Silvio Gutkind; Vyomesh Patel
Journal:  Analyst       Date:  2010-07-08       Impact factor: 4.616

5.  Reliability and reproducibility of gene expression measurements using amplified RNA from laser-microdissected primary breast tissue with oligonucleotide arrays.

Authors:  Chialin King; Ning Guo; Garrett M Frampton; Norman P Gerry; Marc E Lenburg; Carol L Rosenberg
Journal:  J Mol Diagn       Date:  2005-02       Impact factor: 5.568

Review 6.  Genomic screening of head and neck cancer and its implications for therapy planning.

Authors:  Jan Akervall
Journal:  Eur Arch Otorhinolaryngol       Date:  2006-03-31       Impact factor: 2.503

7.  DCAMKL-1 regulates epithelial-mesenchymal transition in human pancreatic cells through a miR-200a-dependent mechanism.

Authors:  Sripathi M Sureban; Randal May; Stan A Lightfoot; Aimee B Hoskins; Megan Lerner; Daniel J Brackett; Russell G Postier; Rama Ramanujam; Altaf Mohammed; Chinthalapally V Rao; James H Wyche; Shrikant Anant; Courtney W Houchen
Journal:  Cancer Res       Date:  2011-02-01       Impact factor: 12.701

8.  Tumor-infiltrating myeloid cells activate Dll4/Notch/TGF-β signaling to drive malignant progression.

Authors:  Hidetaka Ohnuki; Kan Jiang; Dunrui Wang; Ombretta Salvucci; Hyeongil Kwak; David Sánchez-Martín; Dragan Maric; Giovanna Tosato
Journal:  Cancer Res       Date:  2014-02-11       Impact factor: 12.701

Review 9.  Notch inhibitors for cancer treatment.

Authors:  Ingrid Espinoza; Lucio Miele
Journal:  Pharmacol Ther       Date:  2013-02-28       Impact factor: 12.310

10.  NOTCH pathway blockade depletes CD133-positive glioblastoma cells and inhibits growth of tumor neurospheres and xenografts.

Authors:  Xing Fan; Leila Khaki; Thant S Zhu; Mary E Soules; Caroline E Talsma; Naheed Gul; Cheryl Koh; Jiangyang Zhang; Yue-Ming Li; Jarek Maciaczyk; Guido Nikkhah; Francesco Dimeco; Sara Piccirillo; Angelo L Vescovi; Charles G Eberhart
Journal:  Stem Cells       Date:  2010-01       Impact factor: 6.277

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