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N6-methyladenosine-related Genomic Targets are Altered in Breast Cancer Tissue and Associated with Poor Survival.

作者信息

Liu Liwen, Liu Xin, Dong Zihui, Li Jianhao, Yu Yan, Chen Xiaolong, Ren Fang, Cui Guangying, Sun Ranran

机构信息

Precision Medicine Center, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.

Key Laboratory of Clinical Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou 450052, China.

出版信息

J Cancer. 2019 Aug 29;10(22):5447-5459. doi: 10.7150/jca.35053. eCollection 2019.


DOI:10.7150/jca.35053
PMID:31632489
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6775703/
Abstract

: The ectopic expression of N6-methyladenosine (m6A) associated genes is a common feature of multiple tumors. However, little is known about the expression status and the prognostic value of these genes in human breast cancer (BRC). Herein, we conducted a comprehensive analysis to identify the expression profiling and clinical significance of m6A-related genomic targets in BRC. : The expression data including 1109 BRC tissues and 113 normal breast tissues were obtained from The Cancer Genome Atlas (TCGA) database to evaluate the mRNA expression levels of m6A-related genomic targets. In addition, 6 independent BRCA cohorts retrieved from the Gene Expression Omnibus (GEO) database were enrolled to further ascertain the expression profiling of m6A-related genomic targets. Meanwhile, the immunohistochemical (IHC) staining data from BRC tissue microarray (TMA) cohort and the Human Protein Atlas (HPA) database were used to evaluate the proteomic expression of m6A-related genomic targets. Immunofluorescence (IF) analysis was performed to validate the subcellular location of m6A-related genomic targets. Moreover, the prognostic value of m6A-related genomic targets in BRC was analyzed by Kaplan-Meier analysis and Cox regression models. : m6A-related genomic targets were differentially expressed in BRC tissues. TMA IHC staining showed that most of the m6A-related genomic targets were significantly altered at the protein level (either upregulated or downregulated), consistent with their changes in the genomic profile. IF analysis showed the subcellular location of m6A-related genomic targets in BRC cell lines. Furthermore, we demonstrated that overexpression of YTHDF1 (P=0.049), YTHDF3 (P<0.001) and KIAA1429 (P=0.032) predicted poor prognosis in terms of overall survival (OS). Upregulation of YTHDF3 was an independent prognostic factor for OS in patients with BRC (P=0.036). : m6A-related genomic targets are significantly altered in BRC and predict poor prognosis. These m6A-related genomic targets could serve as novel prognostic biomarkers for BRC.

摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/6a379702cd97/jcav10p5447g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/30843c27f713/jcav10p5447g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/7b870ff9fd7c/jcav10p5447g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/dec1e95d1f91/jcav10p5447g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/b7bf5e07c2b0/jcav10p5447g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/7698102907d9/jcav10p5447g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/a1a869d630ef/jcav10p5447g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/95771590d4e3/jcav10p5447g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/014fad7452db/jcav10p5447g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/a8feb4901734/jcav10p5447g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/b524a0dc192c/jcav10p5447g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/6a379702cd97/jcav10p5447g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/30843c27f713/jcav10p5447g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/7b870ff9fd7c/jcav10p5447g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/dec1e95d1f91/jcav10p5447g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/b7bf5e07c2b0/jcav10p5447g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/7698102907d9/jcav10p5447g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/a1a869d630ef/jcav10p5447g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/95771590d4e3/jcav10p5447g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/014fad7452db/jcav10p5447g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/a8feb4901734/jcav10p5447g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/b524a0dc192c/jcav10p5447g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f869/6775703/6a379702cd97/jcav10p5447g011.jpg

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N6-methyladenosine-related Genomic Targets are Altered in Breast Cancer Tissue and Associated with Poor Survival.

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[2]
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[8]
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[6]
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[7]
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[8]
[Not Available].

Adv Sci (Weinh). 2024-5

[9]
YTHDF1's Regulatory Involvement in Breast Cancer Prognosis, Immunity, and the ceRNA Network.

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[10]
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本文引用的文献

[1]
Insights into Molecular Classifications of Triple-Negative Breast Cancer: Improving Patient Selection for Treatment.

Cancer Discov. 2019-1-24

[2]
YTHDF2 suppresses cell proliferation and growth via destabilizing the EGFR mRNA in hepatocellular carcinoma.

Cancer Lett. 2018-11-10

[3]
Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

CA Cancer J Clin. 2018-9-12

[4]
Function of HNRNPC in breast cancer cells by controlling the dsRNA-induced interferon response.

EMBO J. 2018-8-29

[5]
mA RNA Methylation Controls Neural Development and Is Involved in Human Diseases.

Mol Neurobiol. 2018-6-16

[6]
YTH Domain: A Family of N-methyladenosine (mA) Readers.

Genomics Proteomics Bioinformatics. 2018-4-30

[7]
Multiple functions of mA RNA methylation in cancer.

J Hematol Oncol. 2018-3-27

[8]
Oncogene c-Myc promotes epitranscriptome mA reader YTHDF1 expression in colorectal cancer.

Oncotarget. 2017-12-21

[9]
Wilms' tumor 1-associating protein promotes renal cell carcinoma proliferation by regulating CDK2 mRNA stability.

J Exp Clin Cancer Res. 2018-2-27

[10]
Overexpression of YTHDF1 is associated with poor prognosis in patients with hepatocellular carcinoma.

Cancer Biomark. 2018

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