Literature DB >> 14735697

Looking beyond morphology: cancer gene expression profiling using DNA microarrays.

Jun Luo1, William B Isaacs, Jeffrey M Trent, David J Duggan.   

Abstract

Although molecular testing has been increasingly used in clinical practice, the precise diagnosis and prognosis of most human cancers still heavily rely on descriptive histopathological data. Identification of robust molecular markers associated with distinctive morphological parameters will assist in diagnostic and prognostic assessment. On the other hand, the diversity of morphologically identical/similar cancers can be manifested at multiple levels, most importantly at the level of clinical outcome. In the past several years, DNA microarray technology has been widely used in the context of cancer research, resulting in a deluge of new information that can be used to identify molecular alterations common to all tumors as well as signatory profiles unique to a subcategory of cancers. These new findings will very likely transform the clinical management of cancer patients in the near term. This article reviews recent advances in cancer gene expression-profiling results derived from the application of DNA microarray technology, with an emphasis on studies performed on human prostate cancer specimens. We discuss broad issues relevant to cancer expression profiling and attempt to illustrate the rapid pace of novel discoveries using prostate cancer as examples wherever appropriate.

Entities:  

Mesh:

Substances:

Year:  2003        PMID: 14735697     DOI: 10.1081/cnv-120025096

Source DB:  PubMed          Journal:  Cancer Invest        ISSN: 0735-7907            Impact factor:   2.176


  7 in total

1.  Aptamer-based and DNAzyme-linked colorimetric detection of cancer cells.

Authors:  Xiaoli Zhu; Ya Cao; Zhiqiang Liang; Genxi Li
Journal:  Protein Cell       Date:  2010-10-07       Impact factor: 14.870

Review 2.  Standards affecting the consistency of gene expression arrays in clinical applications.

Authors:  Steven A Enkemann
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-03-23       Impact factor: 4.254

3.  Aptamers evolved from live cells as effective molecular probes for cancer study.

Authors:  Dihua Shangguan; Ying Li; Zhiwen Tang; Zehui Charles Cao; Hui William Chen; Prabodhika Mallikaratchy; Kwame Sefah; Chaoyong James Yang; Weihong Tan
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-27       Impact factor: 11.205

4.  Expression of cancer/testis antigens in prostate cancer is associated with disease progression.

Authors:  Takahito Suyama; Takumi Shiraishi; Yu Zeng; Wayne Yu; Nehal Parekh; Robert L Vessella; Jun Luo; Robert H Getzenberg; Prakash Kulkarni
Journal:  Prostate       Date:  2010-12-01       Impact factor: 4.104

5.  Determining prostate cancer-specific death through quantification of stromogenic carcinoma area in prostatectomy specimens.

Authors:  Gustavo E Ayala; Bahar Muezzinoglu; Kai H Hammerich; Anna Frolov; Hao Liu; Peter T Scardino; Rile Li; Mohammad Sayeeduddin; Michael M Ittmann; Dov Kadmon; Brian J Miles; Thomas M Wheeler; David R Rowley
Journal:  Am J Pathol       Date:  2010-12-23       Impact factor: 4.307

Review 6.  The Wnt-dependent signaling pathways as target in oncology drug discovery.

Authors:  Nico Janssens; Michel Janicot; Tim Perera
Journal:  Invest New Drugs       Date:  2006-07       Impact factor: 3.850

Review 7.  Preparation, applications, and challenges of functional DNA nanomaterials.

Authors:  Lei Zhang; Mengge Chu; Cailing Ji; Jie Tan; Quan Yuan
Journal:  Nano Res       Date:  2022-08-31       Impact factor: 10.269

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.