Literature DB >> 12858000

Gene expression profiling of endocrine tumors using DNA microarrays: progress and promise.

Thomas J Giordano1.   

Abstract

Genomewide profiling of gene expression, made possible by the development of DNA microarray technology and more powerful by the sequencing of the human genome, has led to advances in tumor classification and biomarker discovery for the common types of human neoplasia. Application of this approach to the field of endocrine neoplasia is in its infancy, although some progress has been recently reported. In this review, the progress to date is summarized and the promise of DNA microarray analysis in conjunction with tissue array immunohistochemistry to significantly impact endocrine tumor diagnosis and prognosis is discussed.

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Year:  2003        PMID: 12858000     DOI: 10.1385/ep:14:2:107

Source DB:  PubMed          Journal:  Endocr Pathol        ISSN: 1046-3976            Impact factor:   3.943


  41 in total

Review 1.  Expression profiling in cancer using cDNA microarrays.

Authors:  J Khan; L H Saal; M L Bittner; Y Chen; J M Trent; P S Meltzer
Journal:  Electrophoresis       Date:  1999-02       Impact factor: 3.535

2.  Minimum information about a microarray experiment (MIAME)-toward standards for microarray data.

Authors:  A Brazma; P Hingamp; J Quackenbush; G Sherlock; P Spellman; C Stoeckert; J Aach; W Ansorge; C A Ball; H C Causton; T Gaasterland; P Glenisson; F C Holstege; I F Kim; V Markowitz; J C Matese; H Parkinson; A Robinson; U Sarkans; S Schulze-Kremer; J Stewart; R Taylor; J Vilo; M Vingron
Journal:  Nat Genet       Date:  2001-12       Impact factor: 38.330

Review 3.  A decade of differential display.

Authors:  Peng Liang
Journal:  Biotechniques       Date:  2002-08       Impact factor: 1.993

Review 4.  Design issues for cDNA microarray experiments.

Authors:  Yee Hwa Yang; Terry Speed
Journal:  Nat Rev Genet       Date:  2002-08       Impact factor: 53.242

5.  Gene expression in papillary thyroid carcinoma reveals highly consistent profiles.

Authors:  Y Huang; M Prasad; W J Lemon; H Hampel; F A Wright; K Kornacker; V LiVolsi; W Frankel; R T Kloos; C Eng; N S Pellegata; A de la Chapelle
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-18       Impact factor: 11.205

6.  Prediction of chemosensitivity for patients with acute myeloid leukemia, according to expression levels of 28 genes selected by genome-wide complementary DNA microarray analysis.

Authors:  Jun-ichi Okutsu; Tatsuhiko Tsunoda; Yasuyuki Kaneta; Toyomasa Katagiri; Osamu Kitahara; Hitoshi Zembutsu; Rempei Yanagawa; Shuichi Miyawaki; Kazutaka Kuriyama; Nobuyuki Kubota; Yukihiro Kimura; Kohmei Kubo; Fumiharu Yagasaki; Toshio Higa; Hirokuni Taguchi; Tadasu Tobita; Hideki Akiyama; Akihiro Takeshita; Yan-Hua Wang; Toshiko Motoji; Ryuzo Ohno; Yusuke Nakamura
Journal:  Mol Cancer Ther       Date:  2002-10       Impact factor: 6.261

7.  Multiclass cancer diagnosis using tumor gene expression signatures.

Authors:  S Ramaswamy; P Tamayo; R Rifkin; S Mukherjee; C H Yeang; M Angelo; C Ladd; M Reich; E Latulippe; J P Mesirov; T Poggio; W Gerald; M Loda; E S Lander; T R Golub
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-11       Impact factor: 11.205

8.  Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinoma subclasses.

Authors:  A Bhattacharjee; W G Richards; J Staunton; C Li; S Monti; P Vasa; C Ladd; J Beheshti; R Bueno; M Gillette; M Loda; G Weber; E J Mark; E S Lander; W Wong; B E Johnson; T R Golub; D J Sugarbaker; M Meyerson
Journal:  Proc Natl Acad Sci U S A       Date:  2001-11-13       Impact factor: 11.205

9.  Molecular classification of human carcinomas by use of gene expression signatures.

Authors:  A I Su; J B Welsh; L M Sapinoso; S G Kern; P Dimitrov; H Lapp; P G Schultz; S M Powell; C A Moskaluk; H F Frierson; G M Hampton
Journal:  Cancer Res       Date:  2001-10-15       Impact factor: 12.701

10.  Oligonucleotide microarray analysis of intact human pancreatic islets: identification of glucose-responsive genes and a highly regulated TGFbeta signaling pathway.

Authors:  Anath Shalev; Cynthia A Pise-Masison; Michael Radonovich; Steven C Hoffmann; Boaz Hirshberg; John N Brady; David M Harlan
Journal:  Endocrinology       Date:  2002-09       Impact factor: 4.736

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  6 in total

1.  Differential RNA expression profile by cDNA microarray in sporadic primary hyperparathyroidism (pHPT): primary parathyroid hyperplasia versus adenoma.

Authors:  David Velázquez-Fernández; Cecilia Laurell; Milena Saqui-Salces; Juan Pablo Pantoja; Fernando Candanedo-Gonzalez; Alfredo Reza-Albarrán; Armando Gamboa-Dominguez; Miguel F Herrera
Journal:  World J Surg       Date:  2006-05       Impact factor: 3.352

Review 2.  Potential applications of molecular biology in neuroendocrine tumors.

Authors:  Tommaso Emmer; Marco Volante; Alberto Pagani; Elena Allia; Pellegrino Crafa; Gianni Bussolati
Journal:  Endocr Pathol       Date:  2003       Impact factor: 3.943

Review 3.  Molecular pathology of adrenal cortical tumors: separating adenomas from carcinomas.

Authors:  Thomas J Giordano
Journal:  Endocr Pathol       Date:  2006       Impact factor: 4.056

4.  Histopathological diagnosis and prognostic factors in adrenocortical carcinoma.

Authors:  Motohiko Aiba; Mariko Fujibayashi
Journal:  Endocr Pathol       Date:  2005       Impact factor: 4.056

5.  The insulin and igf-I pathway in endocrine glands carcinogenesis.

Authors:  Roberta Malaguarnera; Alaide Morcavallo; Antonino Belfiore
Journal:  J Oncol       Date:  2012-08-08       Impact factor: 4.375

6.  IGF2 promotes growth of adrenocortical carcinoma cells, but its overexpression does not modify phenotypic and molecular features of adrenocortical carcinoma.

Authors:  Marine Guillaud-Bataille; Bruno Ragazzon; Aurélien de Reyniès; Claire Chevalier; Isabelle Francillard; Olivia Barreau; Virginie Steunou; Johann Guillemot; Frédérique Tissier; Marthe Rizk-Rabin; Fernande René-Corail; Abir Al Ghuzlan; Guillaume Assié; Xavier Bertagna; Eric Baudin; Yves Le Bouc; Jérôme Bertherat; Eric Clauser
Journal:  PLoS One       Date:  2014-08-04       Impact factor: 3.240

  6 in total

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