• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

综合分析揭示组蛋白去乙酰化酶基因在低级别胶质瘤预后和免疫反应中的作用。

Comprehensive analyses reveal the role of histone deacetylase genes in prognosis and immune response in low-grade glioma.

机构信息

Department of Oncology, Xiangya Hospital, Central South University, Changsha, Hunan Province, P.R. China.

Department of Nursing, Xiangya Hospital, Central South University, Changsha, Hunan Province, P.R. China.

出版信息

PLoS One. 2022 Oct 13;17(10):e0276120. doi: 10.1371/journal.pone.0276120. eCollection 2022.

DOI:10.1371/journal.pone.0276120
PMID:36227941
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9560174/
Abstract

Many studies have shown that Histone deacetylases (HDAC) is involved in the occurrence of malignant tumors and regulates the occurrence, proliferation, invasion, and migration of malignant tumors through a variety of signaling pathways. In the present, we explored the role of Histone deacetylases genes in prognosis and immune response in low-grade glioma. Using consensus clustering, we built the new molecular clusters. Using HDAC genes, we constructed and validated the prognostic model in two independent cohort datasets. Patients were divided into high-risk and low-risk groups. Then, we explored the molecular characteristics, clinical characteristics, tumor microenvironment and immune infiltration levels of two clusters and risk groups. Receiver operating characteristic analyses were built for model assessment. We finally detected the expression levels of signature genes between tumor and normal tissues. Low-grade can be separated into two molecular clusters using 11 HDACs genes. Two clusters had different clinical characteristics and prognosis. Nex, we constructed a prognosis model using six HDAC genes (HDAC1, HDAC4, HDAC5, HDAC7, HDAC9, and HDAC10), which was also validated in an independent cohort dataset. Furthermore, multivariate cox regression indicated that the calculated risk score was independently associated with prognosis in low-grade glioma, and risk score can predict the five-year survival probability of low-grade glioma well. High-risk patients can be attributed to multiple complex function and molecular signaling pathways, and the genes alterations of high- and low-risk patients were significantly different. We also found that different survival outcomes of high- and low- risk patients could be involved in the differences of immune filtration level and tumor microenvironment. Subsequently, using signature genes, we identified several small molecular compounds that could be useful for low-grade glioma patients' treatment. Finally, we detected the expression levels of signature genes in tumor tissues. our study uncovers the biology function role of HDAC genes in low-grade glioma. We identified new molecular subtypes and established a prognostic model based on six HDAC genes, which was well applied in two independent cohort data. The regulation of HDAC genes in low-grade glioma involved in multiple molecular function and signaling pathways and immune infiltration levels. Further experiments in vivo and vitro were required to confirm the present findings.

摘要

许多研究表明,组蛋白去乙酰化酶(HDAC)参与恶性肿瘤的发生,并通过多种信号通路调节恶性肿瘤的发生、增殖、侵袭和迁移。目前,我们探讨了组蛋白去乙酰化酶基因在低级别胶质瘤中的预后和免疫反应中的作用。我们采用共识聚类的方法构建了新的分子聚类,利用 HDAC 基因构建并验证了两个独立队列数据集中的预后模型。将患者分为高危和低危组,然后我们探讨了两个聚类和风险组的分子特征、临床特征、肿瘤微环境和免疫浸润水平。为模型评估构建了受试者工作特征分析。最后,我们检测了肿瘤和正常组织之间特征基因的表达水平。使用 11 个 HDAC 基因可将低级别胶质瘤分为两个分子聚类。两个聚类具有不同的临床特征和预后。接下来,我们使用六个 HDAC 基因(HDAC1、HDAC4、HDAC5、HDAC7、HDAC9 和 HDAC10)构建了一个预后模型,并在另一个独立队列数据集中进行了验证。此外,多变量 cox 回归表明,计算的风险评分与低级别胶质瘤的预后独立相关,风险评分可以很好地预测低级别胶质瘤的五年生存率。高危患者可归因于多种复杂功能和分子信号通路,高、低危患者的基因改变有显著差异。我们还发现,高、低危患者的不同生存结果可能与免疫过滤水平和肿瘤微环境的差异有关。随后,我们使用特征基因鉴定了几种可能对低级别胶质瘤患者治疗有用的小分子化合物。最后,我们检测了肿瘤组织中特征基因的表达水平。本研究揭示了 HDAC 基因在低级别胶质瘤中的生物学功能作用。我们确定了新的分子亚型,并建立了基于六个 HDAC 基因的预后模型,该模型在两个独立的队列数据中得到了很好的应用。HDAC 基因在低级别胶质瘤中的调节涉及多种分子功能和信号通路以及免疫浸润水平。需要进一步的体内和体外实验来证实目前的发现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/3d62dd369ffd/pone.0276120.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/ba9ffeb4998a/pone.0276120.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/792f22e1b381/pone.0276120.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/e598a3f5c65f/pone.0276120.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/6f70d9174e59/pone.0276120.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/30c8b369cd4e/pone.0276120.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/100f33d4fb8e/pone.0276120.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/23e42ec99bcc/pone.0276120.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/af96906dc912/pone.0276120.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/8415ddd7518f/pone.0276120.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/3d62dd369ffd/pone.0276120.g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/ba9ffeb4998a/pone.0276120.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/792f22e1b381/pone.0276120.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/e598a3f5c65f/pone.0276120.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/6f70d9174e59/pone.0276120.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/30c8b369cd4e/pone.0276120.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/100f33d4fb8e/pone.0276120.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/23e42ec99bcc/pone.0276120.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/af96906dc912/pone.0276120.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/8415ddd7518f/pone.0276120.g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/05f8/9560174/3d62dd369ffd/pone.0276120.g010.jpg

相似文献

1
Comprehensive analyses reveal the role of histone deacetylase genes in prognosis and immune response in low-grade glioma.综合分析揭示组蛋白去乙酰化酶基因在低级别胶质瘤预后和免疫反应中的作用。
PLoS One. 2022 Oct 13;17(10):e0276120. doi: 10.1371/journal.pone.0276120. eCollection 2022.
2
Comprehensive analysis of histone deacetylases genes in the prognosis and immune infiltration of glioma patients.全面分析组蛋白去乙酰化酶基因在胶质瘤患者预后和免疫浸润中的作用。
Aging (Albany NY). 2022 May 11;14(9):4050-4068. doi: 10.18632/aging.204071.
3
Comprehensive Analysis of HDAC Family Identifies as a Prognostic and Immune Infiltration Indicator and -Related Signature for Prognosis in Glioma.HDAC家族的综合分析确定其为胶质瘤预后及免疫浸润指标和预后相关特征。
Front Mol Biosci. 2021 Sep 1;8:720020. doi: 10.3389/fmolb.2021.720020. eCollection 2021.
4
Construction and verification of a histone deacetylases-related prognostic signature model for colon cancer.构建并验证用于结肠癌的组蛋白去乙酰化酶相关预后签名模型。
Sci Rep. 2024 Apr 18;14(1):8983. doi: 10.1038/s41598-024-59724-x.
5
Mitochondrial RNA modification-based signature to predict prognosis of lower grade glioma: a multi-omics exploration and verification study.基于线粒体 RNA 修饰的signature 预测低级别胶质瘤的预后:一项多组学探索和验证研究。
Sci Rep. 2024 Jun 1;14(1):12602. doi: 10.1038/s41598-024-63592-w.
6
Classification related to immunogenic cell death predicts prognosis, immune microenvironment characteristics, and response to immunotherapy in lower-grade gliomas.与免疫原性细胞死亡相关的分类可预测低级别胶质瘤的预后、免疫微环境特征和对免疫治疗的反应。
Front Immunol. 2023 Apr 19;14:1102094. doi: 10.3389/fimmu.2023.1102094. eCollection 2023.
7
Comprehensive analysis of mA/mC/mA-related gene expression, immune infiltration, and sensitivity of antineoplastic drugs in glioma.全面分析脑胶质瘤中 mA/mC/mA 相关基因表达、免疫浸润和抗肿瘤药物敏感性。
Front Immunol. 2022 Sep 20;13:955848. doi: 10.3389/fimmu.2022.955848. eCollection 2022.
8
An Immune-Related Signature for Predicting the Prognosis of Lower-Grade Gliomas.预测低级别胶质瘤预后的免疫相关标志物。
Front Immunol. 2020 Dec 8;11:603341. doi: 10.3389/fimmu.2020.603341. eCollection 2020.
9
Dysregulated Class I histone deacetylases are indicators of poor prognosis in multiple myeloma.I类组蛋白去乙酰化酶失调是多发性骨髓瘤预后不良的指标。
Epigenetics. 2014 Nov;9(11):1511-20. doi: 10.4161/15592294.2014.983367.
10
Comprehensive Analysis Identified Glycosyltransferase Signature to Predict Glioma Prognosis and TAM Phenotype.全面分析鉴定糖基转移酶特征以预测胶质瘤预后和 TAM 表型。
Biomed Res Int. 2023 Jan 11;2023:6082635. doi: 10.1155/2023/6082635. eCollection 2023.

引用本文的文献

1
Machine learning-based identification of histone deacetylase-associated prognostic factors and prognostic modeling for low-grade glioma.基于机器学习的低级别胶质瘤组蛋白去乙酰化酶相关预后因素识别及预后模型构建
Discov Oncol. 2024 Dec 23;15(1):824. doi: 10.1007/s12672-024-01713-7.

本文引用的文献

1
Targeting Histone Deacetylases: Opportunities for Cancer Treatment and Chemoprevention.靶向组蛋白去乙酰化酶:癌症治疗与化学预防的机遇
Pharmaceutics. 2022 Jan 16;14(1):209. doi: 10.3390/pharmaceutics14010209.
2
Physalin B attenuates liver fibrosis via suppressing LAP2α-HDAC1 mediated deacetylation of glioma-associated oncogene 1 and hepatic stellate cell activation.酸浆苦素B通过抑制LAP2α-HDAC1介导的胶质瘤相关癌基因1去乙酰化和肝星状细胞激活来减轻肝纤维化。
Br J Pharmacol. 2021 Oct;178(20):4045-4047. doi: 10.1111/bph.15588. Epub 2021 Aug 18.
3
MCM5 Aggravates the HDAC1-Mediated Malignant Progression of Lung Cancer.
MCM5加剧了HDAC1介导的肺癌恶性进展。
Front Cell Dev Biol. 2021 Aug 2;9:669132. doi: 10.3389/fcell.2021.669132. eCollection 2021.
4
Cytokines and pregnancy: Potential regulation by histone deacetylases.细胞因子与妊娠:组蛋白去乙酰化酶的潜在调节作用。
Mol Reprod Dev. 2021 May;88(5):321-337. doi: 10.1002/mrd.23430. Epub 2021 Apr 26.
5
Apoptotic effects of valproic acid on miR-34a, miR-520h and HDAC1 gene in breast cancer.丙戊酸对乳腺癌中 miR-34a、miR-520h 和 HDAC1 基因的凋亡作用。
Life Sci. 2021 Mar 15;269:119027. doi: 10.1016/j.lfs.2021.119027. Epub 2021 Jan 13.
6
Truncated HDAC9 identified by integrated genome-wide screen as the key modulator for paclitaxel resistance in triple-negative breast cancer.通过全基因组整合筛选鉴定出截短的 HDAC9,是三阴性乳腺癌中紫杉醇耐药的关键调节因子。
Theranostics. 2020 Sep 2;10(24):11092-11109. doi: 10.7150/thno.44997. eCollection 2020.
7
Diffuse midline glioma: review of epigenetics.弥漫性中线胶质瘤:表观遗传学综述。
J Neurooncol. 2020 Oct;150(1):27-34. doi: 10.1007/s11060-020-03553-1. Epub 2020 Aug 17.
8
Epigenetic plasticity, selection, and tumorigenesis.表观遗传可塑性、选择与肿瘤发生
Biochem Soc Trans. 2020 Aug 28;48(4):1609-1621. doi: 10.1042/BST20191215.
9
Transcription Factor ZNF326 Upregulates the Expression of ERCC1 and HDAC7 and its Clinicopathologic Significance in Glioma.转录因子 ZNF326 上调 ERCC1 和 HDAC7 的表达及其在胶质瘤中的临床病理意义。
Lab Med. 2020 Jul 8;51(4):377-384. doi: 10.1093/labmed/lmz075.
10
t-Distributed Stochastic Neighbor Embedding (t-SNE): A tool for eco-physiological transcriptomic analysis.t分布随机邻域嵌入(t-SNE):一种用于生态生理转录组分析的工具。
Mar Genomics. 2020 Jun;51:100723. doi: 10.1016/j.margen.2019.100723. Epub 2019 Nov 26.