Literature DB >> 15621987

DNA array-based gene profiling: from surgical specimen to the molecular portrait of cancer.

Simone Mocellin1, Maurizio Provenzano, Carlo Riccardo Rossi, Pierluigi Pilati, Donato Nitti, Mario Lise.   

Abstract

Cancer is a heterogeneous disease in most respects, including its cellularity, different genetic alterations, and diverse clinical behaviors. Traditional molecular analyses are reductionist, assessing only 1 or a few genes at a time, thus working with a biologic model too specific and limited to confront a process whose clinical outcome is likely to be governed by the combined influence of many genes. The potential of functional genomics is enormous, because for each experiment, thousands of relevant observations can be made simultaneously. Accordingly, DNA array, like other high-throughput technologies, might catalyze and ultimately accelerate the development of knowledge in tumor cell biology. Although in its infancy, the implementation of DNA array technology in cancer research has already provided investigators with novel data and intriguing new hypotheses on the molecular cascade leading to carcinogenesis, tumor aggressiveness, and sensitivity to antiblastic agents. Given the revolutionary implications that the use of this technology might have in the clinical management of patients with cancer, principles of DNA array-based tumor gene profiling need to be clearly understood for the data to be correctly interpreted and appreciated. In the present work, we discuss the technical features characterizing this powerful laboratory tool and review the applications so far described in the field of oncology.

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Year:  2005        PMID: 15621987      PMCID: PMC1356842          DOI: 10.1097/01.sla.0000150157.83537.53

Source DB:  PubMed          Journal:  Ann Surg        ISSN: 0003-4932            Impact factor:   12.969


  115 in total

Review 1.  Exploring expression data: identification and analysis of coexpressed genes.

Authors:  L J Heyer; S Kruglyak; S Yooseph
Journal:  Genome Res       Date:  1999-11       Impact factor: 9.043

2.  Gene expression profiling of primary breast carcinomas using arrays of candidate genes.

Authors:  F Bertucci; R Houlgatte; A Benziane; S Granjeaud; J Adélaïde; R Tagett; B Loriod; J Jacquemier; P Viens; B Jordan; D Birnbaum; C Nguyen
Journal:  Hum Mol Genet       Date:  2000-12-12       Impact factor: 6.150

3.  Multiple differences in gene expression in regulatory Valpha 24Jalpha Q T cells from identical twins discordant for type I diabetes.

Authors:  S B Wilson; S C Kent; H F Horton; A A Hill; P L Bollyky; D A Hafler; J L Strominger; M C Byrne
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-20       Impact factor: 11.205

4.  TIA-1 is a translational silencer that selectively regulates the expression of TNF-alpha.

Authors:  M Piecyk; S Wax; A R Beck; N Kedersha; M Gupta; B Maritim; S Chen; C Gueydan; V Kruys; M Streuli; P Anderson
Journal:  EMBO J       Date:  2000-08-01       Impact factor: 11.598

5.  Dose-dependent and independent temporal patterns of gene responses to ionizing radiation in normal and tumor cells and tumor xenografts.

Authors:  N N Khodarev; J O Park; J Yu; N Gupta; E Nodzenski; B Roizman; R R Weichselbaum
Journal:  Proc Natl Acad Sci U S A       Date:  2001-10-23       Impact factor: 11.205

Review 6.  Gene expression microarray analysis in cancer biology, pharmacology, and drug development: progress and potential.

Authors:  P A Clarke; R te Poele; R Wooster; P Workman
Journal:  Biochem Pharmacol       Date:  2001-11-15       Impact factor: 5.858

7.  IL-10 converts mouse lymphoma cells to a CTL-resistant, NK-sensitive phenotype with low but peptide-inducible MHC class I expression.

Authors:  F Salazar-Onfray; M Petersson; L Franksson; M Matsuda; T Blankenstein; K Kärre; R Kiessling
Journal:  J Immunol       Date:  1995-06-15       Impact factor: 5.422

8.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

9.  High resolution analysis of DNA copy number variation using comparative genomic hybridization to microarrays.

Authors:  D Pinkel; R Segraves; D Sudar; S Clark; I Poole; D Kowbel; C Collins; W L Kuo; C Chen; Y Zhai; S H Dairkee; B M Ljung; J W Gray; D G Albertson
Journal:  Nat Genet       Date:  1998-10       Impact factor: 38.330

10.  Identification of mitogen-activated protein kinase kinase as a chemoresistant pathway in MCF-7 cells by using gene expression microarray.

Authors:  Christopher B Weldon; Ali B Scandurro; Kevin W Rolfe; John L Clayton; Steven Elliott; Nancy N Butler; Lilia I Melnik; Jawed Alam; John A McLachlan; Bernard M Jaffe; Barbara S Beckman; Matthew E Burow
Journal:  Surgery       Date:  2002-08       Impact factor: 3.982

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  4 in total

Review 1.  RNA interference: ready to silence cancer?

Authors:  Simone Mocellin; Rodolfo Costa; Donato Nitti
Journal:  J Mol Med (Berl)       Date:  2005-11-09       Impact factor: 4.599

2.  An gene expression pattern.

Authors:  Manjul Tiwari
Journal:  J Nat Sci Biol Med       Date:  2012-01

3.  RNA interference: learning gene knock-down from cell physiology.

Authors:  Simone Mocellin; Maurizio Provenzano
Journal:  J Transl Med       Date:  2004-11-22       Impact factor: 5.531

4.  Multifactorial Modes of Action of Arsenic Trioxide in Cancer Cells as Analyzed by Classical and Network Pharmacology.

Authors:  Mona Dawood; Sami Hamdoun; Thomas Efferth
Journal:  Front Pharmacol       Date:  2018-02-27       Impact factor: 5.810

  4 in total

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