Literature DB >> 22411186

Differential gene expression profiling of primary cutaneous melanoma and sentinel lymph node metastases.

Stephen S Koh1, Jia-Perng J Wei, Xinmin Li, Rong R Huang, Ngan B Doan, Richard A Scolyer, Alistair J Cochran, Scott W Binder.   

Abstract

Limited understanding of molecular mechanisms of metastasis in melanoma contributes to the absence of effective treatments. Increased knowledge of alterations in genes that underpin critical molecular events that lead to metastasis is essential. We have investigated the gene expression profiles of primary melanomas and melanoma metastases in sentinel lymph nodes. A total of 19 samples (10 primary melanomas and 9 sentinel lymph node metastases) were evaluated. Melanoma cells were dissected from tissue blocks. Total mRNA was isolated, amplified, and labeled using an Ambion Recover All Total Nucleic Acid Isolation kit, Nu-GEN WT-Ovation formalin-fixed, paraffin-embedded RNA Amplification System, and FL-Ovation cDNA Biotin Module V2, respectively. Samples were hybridized to the Affymetrix Gene Chip Human U133 Plus 2.0 Array. Data were analyzed using Partek Genomics Suite Version 6.4. Genes selected showed ≥2-fold difference in expression and P<5.00E-2. Validation studies used standard immunohistochemical assays. Hierarchical clustering disclosed two distinct groups: 10 primary melanomas and 9 sentinel lymph node metastases. Gene expression analysis identified 576 genes that showed significant differential expression. Most differences reflected decreased gene expression in metastases relative to primaries. Reduced gene expression in primaries was less frequent and less dramatic. Genes significantly increased or decreased in sentinel lymph node metastases were active in cell adhesion/structural integrity, tumor suppression, cell cycle regulation, and apoptosis. Validation studies indicate that MAGEC1 (melanoma antigen family C1) and FCRL1 (Fc receptor-like 1) are involved in melanoma progression. There are striking differential gene expression patterns between primary and nodally metastatic melanomas. Similar findings were seen with autologous paired primary melanomas and sentinel lymph node metastases, supporting involvement of these gene alterations in evolution of metastases. With further study, it may be possible to determine the exact sequence of molecular events that underlie melanoma metastases.

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Year:  2012        PMID: 22411186     DOI: 10.1038/modpathol.2012.32

Source DB:  PubMed          Journal:  Mod Pathol        ISSN: 0893-3952            Impact factor:   7.842


  19 in total

1.  Molecular classification and subtype-specific characterization of skin cutaneous melanoma by aggregating multiple genomic platform data.

Authors:  Xiaofan Lu; Qianyuan Zhang; Yue Wang; Liya Zhang; Huiling Zhao; Chen Chen; Yaoyan Wang; Shengjie Liu; Tao Lu; Fei Wang; Fangrong Yan
Journal:  J Cancer Res Clin Oncol       Date:  2018-06-11       Impact factor: 4.553

2.  High-throughput sequencing reveals key genes and immune homeostatic pathways activated in myeloid dendritic cells by Porphyromonas gingivalis 381 and its fimbrial mutants.

Authors:  P Arjunan; A El-Awady; R O Dannebaum; G Kunde-Ramamoorthy; C W Cutler
Journal:  Mol Oral Microbiol       Date:  2015-10-16       Impact factor: 3.563

3.  A unique gene expression signature is significantly differentially expressed in tumor-positive or tumor-negative sentinel lymph nodes in patients with melanoma.

Authors:  Ahmad A Tarhini; Theofanis Floros; Hui-Min Lin; Yan Lin; Zahra Rahman; Madeeha Ashraf; Priyanka Vallabhaneni; Cindy Sander; Uma N M Rao; Monica Panelli; William A LaFramboise; John M Kirkwood
Journal:  Melanoma Res       Date:  2017-10       Impact factor: 3.599

Review 4.  Biopsies: next-generation biospecimens for tailoring therapy.

Authors:  Mark Basik; Adriana Aguilar-Mahecha; Caroline Rousseau; Zuanel Diaz; Sabine Tejpar; Alan Spatz; Celia M T Greenwood; Gerald Batist
Journal:  Nat Rev Clin Oncol       Date:  2013-06-25       Impact factor: 66.675

5.  Safety and diagnostic accuracy of tumor biopsies in children with cancer.

Authors:  Rodrigo B Interiano; Amos H P Loh; Nathan Hinkle; Fazal N Wahid; Alpin D Malkan; Armita Bahrami; Jesse J Jenkins; Shenghua Mao; Jianrong Wu; Kimberly Proctor; Victor M Santana; Alberto S Pappo; Robert E Gold; Andrew M Davidoff
Journal:  Cancer       Date:  2014-12-18       Impact factor: 6.860

6.  Impact of Human Adipose Tissue-Derived Stem Cells on Malignant Melanoma Cells in An In Vitro Co-culture Model.

Authors:  Fabian Preisner; Uwe Leimer; Stefanie Sandmann; Inka Zoernig; Guenter Germann; Eva Koellensperger
Journal:  Stem Cell Rev Rep       Date:  2018-02       Impact factor: 5.739

7.  Tissues in different anatomical sites can sculpt and vary the tumor microenvironment to affect responses to therapy.

Authors:  Christel Devaud; Jennifer A Westwood; Liza B John; Jacqueline K Flynn; Sophie Paquet-Fifield; Connie P M Duong; Carmen S M Yong; Hollie J Pegram; Steven A Stacker; Marc G Achen; Trina J Stewart; Linda A Snyder; Michele W L Teng; Mark J Smyth; Phillip K Darcy; Michael H Kershaw
Journal:  Mol Ther       Date:  2013-09-19       Impact factor: 11.454

Review 8.  Diagnostic and prognostic biomarkers in melanoma.

Authors:  David Weinstein; Jennifer Leininger; Carl Hamby; Bijan Safai
Journal:  J Clin Aesthet Dermatol       Date:  2014-06

9.  Deep sequencing reveals stepwise mutation acquisition in paroxysmal nocturnal hemoglobinuria.

Authors:  Wenyi Shen; Michael J Clemente; Naoko Hosono; Kenichi Yoshida; Bartlomiej Przychodzen; Tetsuichi Yoshizato; Yuichi Shiraishi; Satoru Miyano; Seishi Ogawa; Jaroslaw P Maciejewski; Hideki Makishima
Journal:  J Clin Invest       Date:  2014-09-17       Impact factor: 14.808

10.  A new 12-gene diagnostic biomarker signature of melanoma revealed by integrated microarray analysis.

Authors:  Wanting Liu; Yonghong Peng; Desmond J Tobin
Journal:  PeerJ       Date:  2013-03-05       Impact factor: 2.984

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