Literature DB >> 18442402

The gene expression profiles of primary and metastatic melanoma yields a transition point of tumor progression and metastasis.

Adam I Riker1, Steven A Enkemann, Oystein Fodstad, Suhu Liu, Suping Ren, Christopher Morris, Yaguang Xi, Paul Howell, Brandon Metge, Rajeev S Samant, Lalita A Shevde, Wenbin Li, Steven Eschrich, Adil Daud, Jingfang Ju, Jaime Matta.   

Abstract

BACKGROUND: The process of malignant transformation, progression and metastasis of melanoma is poorly understood. Gene expression profiling of human cancer has allowed for a unique insight into the genes that are involved in these processes. Thus, we have attempted to utilize this approach through the analysis of a series of primary, non-metastatic cutaneous tumors and metastatic melanoma samples.
METHODS: We have utilized gene microarray analysis and a variety of molecular techniques to compare 40 metastatic melanoma (MM) samples, composed of 22 bulky, macroscopic (replaced) lymph node metastases, 16 subcutaneous and 2 distant metastases (adrenal and brain), to 42 primary cutaneous cancers, comprised of 16 melanoma, 11 squamous cell, 15 basal cell skin cancers. A Human Genome U133 Plus 2.0 array from Affymetrix, Inc. was utilized for each sample. A variety of statistical software, including the Affymetrix MAS 5.0 analysis software, was utilized to compare primary cancers to metastatic melanomas. Separate analyses were performed to directly compare only primary melanoma to metastatic melanoma samples. The expression levels of putative oncogenes and tumor suppressor genes were analyzed by semi- and real-time quantitative RT-PCR (qPCR) and Western blot analysis was performed on select genes.
RESULTS: We find that primary basal cell carcinomas, squamous cell carcinomas and thin melanomas express dramatically higher levels of many genes, including SPRR1A/B, KRT16/17, CD24, LOR, GATA3, MUC15, and TMPRSS4, than metastatic melanoma. In contrast, the metastatic melanomas express higher levels of genes such as MAGE, GPR19, BCL2A1, MMP14, SOX5, BUB1, RGS20, and more. The transition from non-metastatic expression levels to metastatic expression levels occurs as melanoma tumors thicken. We further evaluated primary melanomas of varying Breslow's tumor thickness to determine that the transition in expression occurs at different thicknesses for different genes suggesting that the "transition zone" represents a critical time for the emergence of the metastatic phenotype. Several putative tumor oncogenes (SPP-1, MITF, CITED-1, GDF-15, c-Met, HOX loci) and suppressor genes (PITX-1, CST-6, PDGFRL, DSC-3, POU2F3, CLCA2, ST7L), were identified and validated by quantitative PCR as changing expression during this transition period. These are strong candidates for genes involved in the progression or suppression of the metastatic phenotype.
CONCLUSION: The gene expression profiling of primary, non-metastatic cutaneous tumors and metastatic melanoma has resulted in the identification of several genes that may be centrally involved in the progression and metastatic potential of melanoma. This has very important implications as we continue to develop an improved understanding of the metastatic process, allowing us to identify specific genes for prognostic markers and possibly for targeted therapeutic approaches.

Entities:  

Year:  2008        PMID: 18442402      PMCID: PMC2408576          DOI: 10.1186/1755-8794-1-13

Source DB:  PubMed          Journal:  BMC Med Genomics        ISSN: 1755-8794            Impact factor:   3.063


  52 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.  Amplified RNA synthesized from limited quantities of heterogeneous cDNA.

Authors:  R N Van Gelder; M E von Zastrow; A Yool; W C Dement; J D Barchas; J H Eberwine
Journal:  Proc Natl Acad Sci U S A       Date:  1990-03       Impact factor: 11.205

3.  Epigenetic silencing of the tumor suppressor cystatin M occurs during breast cancer progression.

Authors:  Lingbao Ai; Wan-Ju Kim; Tae-You Kim; C Robert Fields; Nicole A Massoll; Keith D Robertson; Kevin D Brown
Journal:  Cancer Res       Date:  2006-08-15       Impact factor: 12.701

4.  DNA methylation-dependent silencing of CST6 in human breast cancer cell lines.

Authors:  Ashley G Rivenbark; Wendell D Jones; William B Coleman
Journal:  Lab Invest       Date:  2006-10-16       Impact factor: 5.662

5.  The macrophage inhibitory cytokine integrates AKT/PKB and MAP kinase signaling pathways in breast cancer cells.

Authors:  Wyatt Wollmann; Mike L Goodman; Poornima Bhat-Nakshatri; Hiromitsu Kishimoto; Robert J Goulet; Sanjana Mehrotra; Akira Morimiya; Sunil Badve; Harikrishna Nakshatri
Journal:  Carcinogenesis       Date:  2005-01-27       Impact factor: 4.944

6.  Expression of MAGE genes in primary and metastatic cutaneous melanoma.

Authors:  F Brasseur; D Rimoldi; D Liénard; B Lethé; S Carrel; F Arienti; L Suter; R Vanwijck; A Bourlond; Y Humblet
Journal:  Int J Cancer       Date:  1995-11-03       Impact factor: 7.396

7.  Gene expression signatures for tumor progression, tumor subtype, and tumor thickness in laser-microdissected melanoma tissues.

Authors:  Jochen Jaeger; Dirk Koczan; Hans-Juergen Thiesen; Saleh M Ibrahim; Gerd Gross; Rainer Spang; Manfred Kunz
Journal:  Clin Cancer Res       Date:  2007-02-01       Impact factor: 12.531

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.  Discrimination of melanocytic tumors by cDNA array hybridization of tissues prepared by laser pressure catapulting.

Authors:  Bernd Becker; Alexander Roesch; Christian Hafner; Wilhelm Stolz; Martin Dugas; Michael Landthaler; Thomas Vogt
Journal:  J Invest Dermatol       Date:  2004-02       Impact factor: 8.551

10.  A sequence-based identification of the genes detected by probesets on the Affymetrix U133 plus 2.0 array.

Authors:  Jeremy Harbig; Robert Sprinkle; Steven A Enkemann
Journal:  Nucleic Acids Res       Date:  2005-02-18       Impact factor: 16.971

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  243 in total

1.  Proteomic analysis of laser microdissected melanoma cells from skin organ cultures.

Authors:  Brian L Hood; Jelena Grahovac; Melanie S Flint; Mai Sun; Nuno Charro; Dorothea Becker; Alan Wells; Thomas P Conrads
Journal:  J Proteome Res       Date:  2010-07-02       Impact factor: 4.466

Review 2.  BCL2A1: the underdog in the BCL2 family.

Authors:  M Vogler
Journal:  Cell Death Differ       Date:  2011-11-11       Impact factor: 15.828

3.  Identification of novel small molecules that inhibit protein-protein interactions between MAGE and KAP-1.

Authors:  Neehar Bhatia; Bing Yang; Tony Z Xiao; Noel Peters; Michael F Hoffmann; B Jack Longley
Journal:  Arch Biochem Biophys       Date:  2011-01-28       Impact factor: 4.013

4.  DNAJB6 chaperones PP2A mediated dephosphorylation of GSK3β to downregulate β-catenin transcription target, osteopontin.

Authors:  A Mitra; M E Menezes; L K Pannell; M S Mulekar; R E Honkanen; L A Shevde; R S Samant
Journal:  Oncogene       Date:  2012-01-23       Impact factor: 9.867

5.  Variants in an Hdac9 intronic enhancer plasmid impact Twist1 expression in vitro.

Authors:  Tyler E Siekmann; Madelyn M Gerber; Amanda Ewart Toland
Journal:  Mamm Genome       Date:  2015-12-31       Impact factor: 2.957

6.  P-cadherin: a useful biomarker for axillary-based breast cancer decisions in the clinical practice.

Authors:  André Filipe Vieira; Maria Rita Dionísio; Madalena Gomes; Jorge F Cameselle-Teijeiro; Manuela Lacerda; Isabel Amendoeira; Fernando Schmitt; Joana Paredes
Journal:  Mod Pathol       Date:  2017-01-13       Impact factor: 7.842

Review 7.  Pregnancy-associated plasma protein a in cancer: expression, oncogenic functions and regulation.

Authors:  Yongchen Guo; Yonghua Bao; Dongli Guo; Wancai Yang
Journal:  Am J Cancer Res       Date:  2018-06-01       Impact factor: 6.166

8.  MELK Promotes Melanoma Growth by Stimulating the NF-κB Pathway.

Authors:  Radoslav Janostiak; Navin Rauniyar; TuKiet T Lam; Jianhong Ou; Lihua J Zhu; Michael R Green; Narendra Wajapeyee
Journal:  Cell Rep       Date:  2017-12-05       Impact factor: 9.423

9.  MAGE-C2 promotes growth and tumorigenicity of melanoma cells, phosphorylation of KAP1, and DNA damage repair.

Authors:  Neehar Bhatia; Tony Z Xiao; Kimberly A Rosenthal; Imtiaz A Siddiqui; Saravanan Thiyagarajan; Brendan Smart; Qiao Meng; Cindy L Zuleger; Hasan Mukhtar; Shannon C Kenney; Mark R Albertini; B Jack Longley
Journal:  J Invest Dermatol       Date:  2012-10-25       Impact factor: 8.551

10.  MERTK receptor tyrosine kinase is a therapeutic target in melanoma.

Authors:  Jennifer Schlegel; Maria J Sambade; Susan Sather; Stergios J Moschos; Aik-Choon Tan; Amanda Winges; Deborah DeRyckere; Craig C Carson; Dimitri G Trembath; John J Tentler; S Gail Eckhardt; Pei-Fen Kuan; Ronald L Hamilton; Lyn M Duncan; C Ryan Miller; Nana Nikolaishvili-Feinberg; Bentley R Midkiff; Jing Liu; Weihe Zhang; Chao Yang; Xiaodong Wang; Stephen V Frye; H Shelton Earp; Janiel M Shields; Douglas K Graham
Journal:  J Clin Invest       Date:  2013-04-15       Impact factor: 14.808

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