Literature DB >> 25034661

Whole transcriptome RNA-seq analysis: tumorigenesis and metastasis of melanoma.

Hua Zhao1, Yongjun Li2, Shaobin Wang2, Yadong Yang2, Junyun Wang2, Xiuyan Ruan2, Yaran Yang2, Kan Cai2, Bing Zhang2, Peng Cui2, Jiangwei Yan2, Yongliang Zhao2, Edward K Wakeland3, Quanzhen Li4, Songnian Hu5, Xiangdong Fang6.   

Abstract

Melanoma is the most malignant cutaneous cancer and causes over 9000 deaths annually. Because fatality rates from malignant melanoma (MM) increase dramatically upon metastasis, we investigated tumorigenesis and metastasis of MM in transcriptome analyses of three distinct cell lines that correspond with the stages of MM pathogenesis: the normal stage (HEMn-LP), the onset of MM (A375), and the metastasis stage (A2058). Using next-generation sequencing (NGS) technology, we detected asymmetrical expression of genes among the three cell lines, notably on chromosomes 9, 11, 12, and 14, suggesting their involvement in tumorigenesis and metastasis of MM. These genes were clustered into 41 categories based on their expression patterns, and their biological functions were analyzed using Ingenuity Pathway Analysis. In the top cancer-associated category, HIF1A, IL8, TERT, ONECUT1, and FOXA1 directly interacted with either transcription factors or cytokines that are known to be involved in the tumorigenesis or metastasis of other malignant tumors. The present data suggest that cytokine regulatory pathways in macrophages predominate over other pathways during the pathogenesis of MM. This study provides new targets for the downstream mechanistic studies of the tumorigenesis and metastasis of MM and demonstrates a new strategy for studies of the progression of other malignant cancers.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Melanoma; Metastasis; Next-generation sequencing; Transcriptome; Tumorigenesis

Mesh:

Year:  2014        PMID: 25034661     DOI: 10.1016/j.gene.2014.07.038

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  13 in total

1.  Vitamin D receptor polymorphisms and survival in patients with cutaneous melanoma: a population-based study.

Authors:  Irene Orlow; Anne S Reiner; Nancy E Thomas; Pampa Roy; Peter A Kanetsky; Li Luo; Susan Paine; Bruce K Armstrong; Anne Kricker; Loraine D Marrett; Stefano Rosso; Roberto Zanetti; Stephen B Gruber; Hoda Anton-Culver; Richard P Gallagher; Terence Dwyer; Klaus Busam; Colin B Begg; Marianne Berwick
Journal:  Carcinogenesis       Date:  2015-10-31       Impact factor: 4.944

2.  Whole Body Melanoma Transcriptome Response in Medaka.

Authors:  Manfred Schartl; Yingjia Shen; Katja Maurus; Ron Walter; Chad Tomlinson; Richard K Wilson; John Postlethwait; Wesley C Warren
Journal:  PLoS One       Date:  2015-12-29       Impact factor: 3.240

3.  Insulin-like growth factor binding protein 5 (IGFBP5) functions as a tumor suppressor in human melanoma cells.

Authors:  Junyun Wang; Nan Ding; Yongjun Li; Hua Cheng; Dong Wang; Qiong Yang; Youhui Deng; Yaran Yang; Yanming Li; Xiuyan Ruan; Fang Xie; Hua Zhao; Xiangdong Fang
Journal:  Oncotarget       Date:  2015-08-21

Review 4.  Big Data and Comparative Effectiveness Research in Radiation Oncology: Synergy and Accelerated Discovery.

Authors:  Daniel M Trifiletti; Timothy N Showalter
Journal:  Front Oncol       Date:  2015-12-08       Impact factor: 6.244

5.  Ensemble Modeling Approach Targeting Heterogeneous RNA-Seq data: Application to Melanoma Pseudogenes.

Authors:  Enrico Capobianco; Camilo Valdes; Samanta Sarti; Zhijie Jiang; Laura Poliseno; Nicolas F Tsinoremas
Journal:  Sci Rep       Date:  2017-12-11       Impact factor: 4.379

6.  Intergenic disease-associated regions are abundant in novel transcripts.

Authors:  N Bartonicek; M B Clark; X C Quek; J R Torpy; A L Pritchard; J L V Maag; B S Gloss; J Crawford; R J Taft; N K Hayward; G W Montgomery; J S Mattick; T R Mercer; M E Dinger
Journal:  Genome Biol       Date:  2017-12-28       Impact factor: 13.583

7.  Discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling.

Authors:  Hye-Youn Kim; Hwanhui Lee; So-Hyun Kim; Hanyong Jin; Jeehyeon Bae; Hyung-Kyoon Choi
Journal:  Sci Rep       Date:  2017-08-18       Impact factor: 4.379

8.  Transcriptome Analysis of Canine Cutaneous Melanoma and Melanocytoma Reveals a Modulation of Genes Regulating Extracellular Matrix Metabolism and Cell Cycle.

Authors:  Chiara Brachelente; Katia Cappelli; Stefano Capomaccio; Ilaria Porcellato; Serenella Silvestri; Laura Bongiovanni; Raffaella De Maria; Andrea Verini Supplizi; Luca Mechelli; Monica Sforna
Journal:  Sci Rep       Date:  2017-07-25       Impact factor: 4.379

9.  RNA sequencing analysis to capture the transcriptome landscape during skin ulceration syndrome progression in sea cucumber Apostichopus japonicus.

Authors:  Aifu Yang; Zunchun Zhou; Yongjia Pan; Jingwei Jiang; Ying Dong; Xiaoyan Guan; Hongjuan Sun; Shan Gao; Zhong Chen
Journal:  BMC Genomics       Date:  2016-06-14       Impact factor: 3.969

10.  Network assessment of demethylation treatment in melanoma: Differential transcriptome-methylome and antigen profile signatures.

Authors:  Zhijie Jiang; Caterina Cinti; Monia Taranta; Elisabetta Mattioli; Elisa Schena; Sakshi Singh; Rimpi Khurana; Giovanna Lattanzi; Nicholas F Tsinoremas; Enrico Capobianco
Journal:  PLoS One       Date:  2018-11-28       Impact factor: 3.240

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