[1]郭文才 李 锐 李龙祥 吴 勇.高危神经母细胞瘤差异表达基因的生信分析[J].中国临床神经外科杂志,2021,26(08):612-615.[doi:10.13798/j.issn.1009-153X.2021.08.012]
 GUO Wen-cai,LI Rui,LI Long-xiang,et al.Bioinformatic analysis of differential expression genes in high-risk neuroblastoma[J].,2021,26(08):612-615.[doi:10.13798/j.issn.1009-153X.2021.08.012]
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高危神经母细胞瘤差异表达基因的生信分析()
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《中国临床神经外科杂志》[ISSN:1009-153X/CN:42-1603/TN]

卷:
26
期数:
2021年08期
页码:
612-615
栏目:
论著
出版日期:
2021-08-25

文章信息/Info

Title:
Bioinformatic analysis of differential expression genes in high-risk neuroblastoma
文章编号:
1009-153X(2021)08-0612-04
作者:
郭文才 李 锐 李龙祥 吴 勇
Author(s):
GUO Wen-cai LI Rui LI Long-xiang WU Yong.
Department of Neurosurgery, Bazhong Central Hospital, Sichuan 636000, China
关键词:
神经母细胞瘤生物信息学生物标志物差异表达基因
Keywords:
Neuroblastoma Bioinformatics Biomarkers Differential expression gene
分类号:
R 739.41; Q 786
DOI:
10.13798/j.issn.1009-153X.2021.08.012
文献标志码:
A
摘要:
目的 应用生信分析方法筛选高危神经母细胞瘤的差异表达基因(DEG)。方法 从GEO数据库下载2个高危神经母细胞瘤数据集(GSE49710、GSE73517),筛选DEG,应用GO和KEGG进行富集分析,构建PPI网络筛选中枢基因。结果 GSE49710包括34个上调DEG和284个下调DEG,GSE73517包括62个上调DEG和309个下调DEG。GO分析显示,生物过程主要集中在细胞粘附、GTP酶活性的正调节、转录的负调节、DNA模板化、凋亡过程的负调节、中枢神经系统发育,调节的细胞成分富集在膜的组成部分、细胞外区域、质膜的组成部分、细胞外空间,调节的分子功能富集于钙离子结合、受体结合。KEGG分析显示在可卡因成瘾、造血细胞谱系、NOD样受体信号通路、糖胺聚糖生物合成-硫酸乙酰肝素/肝素中显著富集。PPI网络确定5个中枢基因(ADRB2、MC4R、CD69、RBFOX1和IL7R)。结论 ADRB2、MC4R、CD69、RBFOX1和IL7R可能与高危神经母细胞瘤的发生、发展相关,也可为高危神经母细胞瘤提供潜在治疗靶点。
Abstract:
Objective To analyze the differential expression genes (DEG) of high-risk neuroblastoma using biosynthesis analysis methods. Methods Two high-risk neuroblastoma datasets (GSE49710, GSE73517) were downloaded from GEO database, and DEG was screened. GO and KEGG analyses were used for enrichment analysis, and a PPI network was constructed to screen central hub genes. Results GSE49710 included 34 up-regulated DEG and 284 down-regulated DEG, GSE73517 included 62 up-regulated DEG and 309 down-regulated DEG. GO analysis showed that biological processes were mainly involved in cell adhesion, positive regulation of GTPase activity, negative regulation of transcription, DNA templating, negative regulation of apoptotic processes, development of the central nervous system, cell components were mainly involved in membranes component, extracellular area, component of plasma membrane and extracellular space, molecular functions were mainly enriched in calcium ion binding and receptor binding. KEGG analysis showed significant enrichment in cocaine addiction, hematopoietic cell lineage, NOD-like receptor signaling pathway, glycosaminoglycan biosynthesis-heparan sulfate/heparin. The PPI network identified five central hub genes, inlcuding ADRB2, MC4R, CD69, RBFOX1 and IL7R. Conclusions ADRB2, MC4R, CD69, RBFOX1 and IL7R may be related to the occurrence and development of high-risk neuroblastoma, and they may also provide potential therapeutic targets for high-risk neuroblastoma.

参考文献/References:

[1] Koneru B, LopezG, Farooqi A, et al. Telomere maintenance mechanisms define clinical outcome in high-risk neuro-blastoma [J]. Cancer Res, 2020, 80(12): 2663-75.
[2] Strother DR, London WB, Schmidt ML, et al. Outcome after surgery alone or with restricted use of chemotherapy for patients with low-risk neuroblastoma: results of Children’s Oncology Group study P9641 [J]. J Clin Oncol, 2012, 30(15): 1842-8.
[3] Baker DL, Schmidt ML, Cohn SL, et al. Outcome after reduced chemotherapy for intermediate-risk neuroblastoma [J]. N Engl J Med, 2010, 363(14): 1313-23.
[4] Holmes K, PotschgerU, Pearson ADJ, et al. Influence of sur-gical excision on the survival of patients with stage 4 high-risk neuroblastoma: a report from the HR-NBL1/SIOPEN study [J]. J Clin Oncol, 2020, 38(25): 2902-2915.
[5] Pstrag N, Ziemnicka K, Bluyssen H, et al. Thyroid cancers of follicular origin in a genomic light: in-depth overview of common and unique molecular marker candidates [J]. Mol Cancer, 2018, 17(1): 116.
[6] Toro-Domínguez D, Martorell-Marugán J, López-Domín-guez R, et al. ImaGEO: integrative gene expression meta-analysis from GEO database [J]. Bioinformatics, 2019, 35(5): 880-882.
[7] Xia XQ, Jia Z, Porwollik S, et al. Evaluating oligonucleotide properties for DNA microarray probe design [J]. Nucleic Acids Res, 2010, 38(11): e121.
[8] Pounds S, Morris SW. Estimating the occurrence of false positives and false negatives in microarray studies by app-roximating and partitioning the empirical distribution of p-values [J]. Bioinformatics, 2003, 19(10): 1236-42.
[9] Kupfer P, Guthke R, Pohlers D, et al. Batch correction of microarray data substantially improves the identification of genes differentially expressed in rheumatoid arthritis and osteoarthritis [J]. BMC Med Genomics, 2012, 5: 23.
[10] Karstens KF, BellonE, Polonski A, et al. Expression and serum levels of the neural cell adhesion molecule L1-like protein (CHL1) in gastrointestinal stroma tumors (GIST) andits prognostic power [J]. Oncotarget, 2020, 11(13): 1131-1140.
[11] Svensmark JH, Brakebusch C. Rho GTPases in cancer: friend or foe [J]. Oncogene, 2019, 38(50): 7447-7456.
[12] Tajbakhsh A, Pasdar A, Rezaee M, et al. The current status and perspectives regarding the clinical implication of intracellular calcium in breast cancer [J]. J Cell Physiol, 2018, 233(8): 5623-5641.
[13] Ohashi K, Wang Z, Yang YM, et al. NOD-like receptor C4 inflammasome regulates the growth of colon cancer liver metastasis in NAFLD [J]. Hepatology, 2019, 70(5): 1582-1599.
[14] Coll RC, Robertson AA, Chae JJ, et al. A small-molecule inhibitor of the NLRP3 inflammasome for the treatment of inflammatory diseases [J]. Nat Med, 2015, 21(3): 248-255.
[15] Philipp M, Hein L. Adrenergic receptor knockout mice: dis-tinct functions of 9 receptor subtypes [J]. Pharmacol Ther, 2004, 101(1): 65-74.
[16] Sapio L, Gallo M, Illiano M, et al. The natural camp eleva-ting compound forskolin in cancer therapy: is it time [J]? J Cell Physiol, 2017, 232(5): 922-927.
[17] Berdantin LB. Diabetes and cancer: Debating the link through Ca(2+)/cAMP signalling [J]. Cancer Lett, 2019, 448: 128-131.
[18] Zhang X, Zhang Y, He Z, et al. Chronic stress promotes gastric cancer progression and metastasis: an essential role for ADRB2 [J]. Cell Death Dis, 2019, 10(11): 788.
[19] Xie WY, He RH, Zhang J, et al. betablockers inhibit the viability of breast cancer cells by regulating the ERK/COX2 signaling pathway and the drug response is affected by ADRB2 singlenucleotide polymorphisms [J]. Oncol Rep, 2019, 401(1): 341-350.
[20] Kulik G. ADRB2-targeting therapies for prostate cancer [J]. Cancers (Basel), 2019, 11(3): E358.

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备注/Memo

备注/Memo:
作者单位:636000 四川,巴中市中心医院神经外科(郭文才、李 锐、李龙祥、吴 勇)
通讯作者:吴 勇,E-mail:master2010@yeah.net
更新日期/Last Update: 1900-01-01