Literature DB >> 29407229

Combined analysis of DNA methylation and gene expression profiles of osteosarcoma identified several prognosis signatures.

Wen Tian1, Yongsheng Li1, Jinghua Zhang1, Jijun Li1, Jinghua Gao2.   

Abstract

Osteosarcoma (OS) is a common primary malignancy in children and adolescents with relative high survival rate after chemotherapy. While, the toxicity of chemotherapy and personalized different response to chemotherapy makes it difficult for the selection of therapeutics and improvement of diagnosis. In this study, we conducted a combined analysis of two types of microarray datasets (gene expression and DNA methylation) from the Gene Expression Omnibus (GEO). Differential methylation sites (DMS) were identified by the IMA package and differential expression genes (DEGs) were screened out via the limma package. A total of 11,242 DMS (corresponding to 3080 genes (DMGs)) and 337 DEGs, with 40 overlaps (OS genes) between DEGs and DMGs, were identified. Enriched functions of OS genes were obtained through the Database for Annotation, Visualization and Integrated Discovery (DAVID). The OS genes were mainly enriched in the biological processes related to inflammatory/immune response and Pertussis pathways and Hematopoietic cell lineage pathways. Besides, OS-specific disease network was obtained, and found that UBS and NRF1 were regulated by multiple OS genes. Kaplan Meier analysis of OS genes identified BHMT2, DOCK2, DNALI1 and RIPK3 as significant OS survival-related genes. SEMA3A and PRAME are included in the 40 OS genes and within the top 10 most up-regulated DEGs. Their expression changes were further validated in U2OS osteosarcoma cell lines and hOB normal cell lines through quantitative PCR (qPCR) and consistent result with microarray analysis was obtained. Based on this study, some novel targets were identified for OS, which would be helpful in its early diagnosis and treatment.
Copyright © 2018 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  DNA methylation; GEO; Kaplan Meier; TCGA

Mesh:

Year:  2018        PMID: 29407229     DOI: 10.1016/j.gene.2018.01.093

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


  16 in total

1.  LncRNA SNHG4 promotes tumour growth by sponging miR-224-3p and predicts poor survival and recurrence in human osteosarcoma.

Authors:  Ruida Xu; Fan Feng; Xiaosheng Yu; Zude Liu; Lifeng Lao
Journal:  Cell Prolif       Date:  2018-08-28       Impact factor: 6.831

2.  DNA Methylation Profiling Reveals Prognostically Significant Groups in Pediatric Adrenocortical Tumors: A Report From the International Pediatric Adrenocortical Tumor Registry.

Authors:  Michael R Clay; Emilia M Pinto; Cynthia Cline; Quynh T Tran; Tong Lin; Michael A Dyer; Lei Shi; Huiyun Wu; Stanley B Pounds; Gerard P Zambetti; Brent A Orr; Raul C Ribeiro
Journal:  JCO Precis Oncol       Date:  2019-11-18

3.  Integrative analysis of immune-related multi-omics profiles identifies distinct prognosis and tumor microenvironment patterns in osteosarcoma.

Authors:  Deyao Shi; Shidai Mu; Feifei Pu; Jianxiang Liu; Binlong Zhong; Binwu Hu; Na Ni; Hao Wang; Hue H Luu; Rex C Haydon; Le Shen; Zhicai Zhang; Tong-Chuan He; Zengwu Shao
Journal:  Mol Oncol       Date:  2022-01-01       Impact factor: 7.449

4.  New Analysis Framework Incorporating Mixed Mutual Information and Scalable Bayesian Networks for Multimodal High Dimensional Genomic and Epigenomic Cancer Data.

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Review 5.  Tumor-Associated Macrophages in Osteosarcoma: From Mechanisms to Therapy.

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Review 6.  The role of the cancer testis antigen PRAME in tumorigenesis and immunotherapy in human cancer.

Authors:  Yichi Xu; Ruanmin Zou; Jing Wang; Zhi-Wei Wang; Xueqiong Zhu
Journal:  Cell Prolif       Date:  2020-02-05       Impact factor: 6.831

7.  The lncRNAs RP1-261G23.7, RP11-69E11.4 and SATB2-AS1 are a novel clinical signature for predicting recurrent osteosarcoma.

Authors:  Tang Ying; Jin-Ling Dong; Cen Yuan; Peng Li; Qingshan Guo
Journal:  Biosci Rep       Date:  2020-01-31       Impact factor: 3.840

8.  DNA methylation patterns-based subtype distinction and identification of soft tissue sarcoma prognosis.

Authors:  Kai Li; Zhengyuan Wu; Jun Yao; Jingyuan Fan; Qingjun Wei
Journal:  Medicine (Baltimore)       Date:  2021-02-05       Impact factor: 1.817

9.  Tumor DNA methylation profiles correlate with response to anti-PD-1 immune checkpoint inhibitor monotherapy in sarcoma patients.

Authors:  Gerwin Heller; Thomas Brodowicz; Angelika M Starzer; Anna S Berghoff; Rainer Hamacher; Erwin Tomasich; Katharina Feldmann; Teresa Hatziioannou; Stefan Traint; Wolfgang Lamm; Iris M Noebauer-Huhmann; Julia Furtner; Leonhard Müllauer; Gabriele Amann; Sebastian Bauer; Hans-Ulrich Schildhaus; Matthias Preusser
Journal:  J Immunother Cancer       Date:  2021-03       Impact factor: 13.751

Review 10.  Biology and pathogenesis of human osteosarcoma.

Authors:  Judson Welber Veríssimo de Azevedo; Thales Allyrio Araújo de Medeiros Fernandes; José Veríssimo Fernandes; Jenner Chrystian Veríssimo de Azevedo; Daniel Carlos Ferreira Lanza; Christiane Medeiros Bezerra; Vânia Sousa Andrade; Josélio Maria Galvão de Araújo; José Veríssimo Fernandes
Journal:  Oncol Lett       Date:  2019-12-18       Impact factor: 2.967

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