Literature DB >> 18596672

The impact of genomics in understanding human melanoma progression and metastasis.

Suping Ren1, Suhu Liu, Paul Howell, Yaguang Xi, Steven A Enkemann, Jingfang Ju, Adam I Riker.   

Abstract

BACKGROUND: Recent technological advances in the analysis of the human genome have opened the door to improving our primitive understanding of the gene expression patterns in cancer. For the first time, we have an overview of the complexities of tumorigenesis and metastatic progression of cancer. The examination of the phenotypic and (epi)genetic changes in cutaneous melanoma has identified several genes deemed central to the development and progression of melanoma.
METHODS: A review of the recent literature was performed to determine the role of array-based high-throughput gene expression analysis in understanding the specific genes involved as well as the pathways and the comparative gene expression patterns of primary and metastatic melanoma.
RESULTS: Most studies utilizing gene microarray analysis and other whole genome approaches reveal a wide array of genes and expression patterns in human melanoma. Furthermore, several of the same genes have been found in comparative studies, with some studies attempting correlation with clinical outcome. Several genes have been identified as potential prognostic markers of tumor progression and overall clinical outcome.
CONCLUSIONS: High-throughput gene expression analysis has had a major impact in melanoma research. Several gene expression platforms have provided insight into the gene expression patterns in melanoma. Such data will provide the foundations for the future development of prognostic markers and improved targeted therapies for patients with melanoma.

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Year:  2008        PMID: 18596672     DOI: 10.1177/107327480801500303

Source DB:  PubMed          Journal:  Cancer Control        ISSN: 1073-2748            Impact factor:   3.302


  11 in total

1.  A nine-gene signature predicting clinical outcome in cutaneous melanoma.

Authors:  G Brunner; M Reitz; A Heinecke; A Lippold; C Berking; L Suter; J Atzpodien
Journal:  J Cancer Res Clin Oncol       Date:  2012-10-09       Impact factor: 4.553

Review 2.  Networks and pathways in pigmentation, health, and disease.

Authors:  Laura L Baxter; Stacie K Loftus; William J Pavan
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2009 Nov-Dec

3.  A gene expression signature of invasive potential in metastatic melanoma cells.

Authors:  Aaron R Jeffs; Amy C Glover; Lynn J Slobbe; Li Wang; Shujie He; Jody A Hazlett; Anshul Awasthi; Adele G Woolley; Elaine S Marshall; Wayne R Joseph; Cristin G Print; Bruce C Baguley; Michael R Eccles
Journal:  PLoS One       Date:  2009-12-24       Impact factor: 3.240

4.  A practical, bioinformatic workflow system for large data sets generated by next-generation sequencing.

Authors:  Cinzia Cantacessi; Aaron R Jex; Ross S Hall; Neil D Young; Bronwyn E Campbell; Anja Joachim; Matthew J Nolan; Sahar Abubucker; Paul W Sternberg; Shoba Ranganathan; Makedonka Mitreva; Robin B Gasser
Journal:  Nucleic Acids Res       Date:  2010-08-03       Impact factor: 16.971

5.  A novel function for vimentin: the potential biomarker for predicting melanoma hematogenous metastasis.

Authors:  Man Li; Baogang Zhang; Baocun Sun; Xuan Wang; Xinchao Ban; Tao Sun; Zhiyong Liu; Xiulan Zhao
Journal:  J Exp Clin Cancer Res       Date:  2010-08-11

6.  Gene network analyses point to the importance of human tissue kallikreins in melanoma progression.

Authors:  Waleska K Martins; Gustavo H Esteves; Otávio M Almeida; Gisele G Rezze; Gilles Landman; Sarah M Marques; Alex F Carvalho; Luiz F L Reis; João P Duprat; Beatriz S Stolf
Journal:  BMC Med Genomics       Date:  2011-10-27       Impact factor: 3.063

7.  Cell cycle gene networks are associated with melanoma prognosis.

Authors:  Li Wang; Daniel G Hurley; Wendy Watkins; Hiromitsu Araki; Yoshinori Tamada; Anita Muthukaruppan; Louis Ranjard; Eliane Derkac; Seiya Imoto; Satoru Miyano; Edmund J Crampin; Cristin G Print
Journal:  PLoS One       Date:  2012-04-20       Impact factor: 3.240

8.  Human malignant melanoma-derived progestagen-associated endometrial protein immunosuppresses T lymphocytes in vitro.

Authors:  Suping Ren; Lina Chai; Chunyan Wang; Changlan Li; Qiquan Ren; Lihua Yang; Fumei Wang; Zhixin Qiao; Weijing Li; Min He; Adam I Riker; Ying Han; Qun Yu
Journal:  PLoS One       Date:  2015-03-18       Impact factor: 3.240

9.  Functional characterization of the progestagen-associated endometrial protein gene in human melanoma.

Authors:  Suping Ren; Suhu Liu; Paul M Howell; Guangyu Zhang; Lewis Pannell; Rajeev Samant; Lalita Shevde-Samant; J Allan Tucker; Oystein Fodstad; Adam I Riker
Journal:  J Cell Mol Med       Date:  2009-10-03       Impact factor: 5.310

10.  Up-regulation of SERPINA3 correlates with high mortality of melanoma patients and increased migration and invasion of cancer cells.

Authors:  Jiaying Zhou; Yabin Cheng; Liren Tang; Magdalena Martinka; Sunil Kalia
Journal:  Oncotarget       Date:  2017-03-21
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