• 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

N6-甲基腺苷相关长链非编码 RNA 在胰腺导管腺癌的预后和免疫微环境中发挥重要作用。

N6-methylandenosine-related lncRNAs play an important role in the prognosis and immune microenvironment of pancreatic ductal adenocarcinoma.

机构信息

Department of Hepatopancreatobiliary Surgery, Fujian Abdominal Surgery Research Institute, the First Affiliated Hospital of Fujian Medical University, Fujian, China.

出版信息

Sci Rep. 2021 Sep 8;11(1):17844. doi: 10.1038/s41598-021-97362-9.

DOI:10.1038/s41598-021-97362-9
PMID:34497315
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8426490/
Abstract

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive, fatal tumor. N6-methylandenosine (m6A) methylation is the major epigenetic modification of RNA including lncRNAs. The roles of m6A-related lncRNAs in PDAC have not been fully clarified. This study aims to assess gene signatures and prognostic value of m6A-related lncRNAs in PDAC. The Cancer Genome Atlas (TCGA) dataset and the International Cancer Genome Consortium (ICGC) dataset were explored to identify m6A-related lncRNAs. Univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression were performed to construct the m6A-related lncRNAs prognostic riskscore (m6A-LPR) model to predict the overall survival (OS) in the TCGA training cohort. Kaplan-Meier curve with log-rank test and receiver operating characteristic (ROC) curve were used to evaluate the prognostic value of the m6A-LPR. Furthermore, the robustness of the m6A-LPR was further validated in the ICGC cohort. Tumor immunity was evaluated using ESTIMATE and CIBERSORT algorithms. A total of 262 m6A-related lncRNAs were identified in two datasets. In the TCGA training cohort, 28 prognostic m6A-related lncRNAs were identified and the m6A-LPR including four m6A-related lncRNAs was constructed. The m6A-LPR was able to identify high-risk patients with significantly poorer OS and accurately predict OS in both the TCGA training cohort and the ICGC validation cohort. Analysis of tumor immunity revealed that high-risk groups had remarkably lower stromal, immune, and ESTIMATE scores. Moreover, high-risk groups were associated with significantly higher levels of plasma B cells and resting NK cells infiltration, and lower levels of infiltrating resting memory CD4 T cells, monocytes, and resting mast cells. Our study proposed a robust m6A-related prognostic signature of lncRNAs for predicting OS in PDAC, which provides some clues for further studies focusing on the mechanism process underlying m6A modification of lncRNAs.

摘要

胰腺导管腺癌(PDAC)是一种高度侵袭性和致命性的肿瘤。N6-甲基腺苷(m6A)甲基化是包括 lncRNAs 在内的 RNA 的主要表观遗传修饰。m6A 相关 lncRNAs 在 PDAC 中的作用尚未完全阐明。本研究旨在评估 m6A 相关 lncRNAs 在 PDAC 中的基因特征和预后价值。本研究利用癌症基因组图谱(TCGA)数据集和国际癌症基因组联盟(ICGC)数据集,鉴定 m6A 相关 lncRNAs。单因素、最小绝对值收缩和选择算子(LASSO)和多因素 Cox 回归分析用于构建 m6A 相关 lncRNAs 预后风险评分(m6A-LPR)模型,以预测 TCGA 训练队列的总生存期(OS)。Kaplan-Meier 曲线和对数秩检验和接受者操作特征(ROC)曲线用于评估 m6A-LPR 的预后价值。此外,还在 ICGC 队列中进一步验证了 m6A-LPR 的稳健性。使用 ESTIMATE 和 CIBERSORT 算法评估肿瘤免疫。在两个数据集中共鉴定出 262 个 m6A 相关 lncRNAs。在 TCGA 训练队列中,鉴定出 28 个预后 m6A 相关 lncRNAs,并构建了包含 4 个 m6A 相关 lncRNAs 的 m6A-LPR。m6A-LPR 能够识别出总生存期明显较差的高危患者,并在 TCGA 训练队列和 ICGC 验证队列中准确预测 OS。肿瘤免疫分析显示,高危组的基质、免疫和 ESTIMATE 评分明显较低。此外,高危组与血浆 B 细胞和静息 NK 细胞浸润水平显著升高,以及静息记忆 CD4 T 细胞、单核细胞和静息肥大细胞浸润水平显著降低有关。本研究提出了一种稳健的 m6A 相关 lncRNA 预后标志物,用于预测 PDAC 的 OS,为进一步研究 m6A 修饰 lncRNA 的机制过程提供了一些线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/f7fda78c1382/41598_2021_97362_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/dfb6e2ffb411/41598_2021_97362_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/c640a0c9ff0d/41598_2021_97362_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/eefa73d47947/41598_2021_97362_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/e28786b7beb0/41598_2021_97362_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/d1c7257f6976/41598_2021_97362_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/2b37d781b6ed/41598_2021_97362_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/5c006677e8e2/41598_2021_97362_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/8ad216dd7fb9/41598_2021_97362_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/f7fda78c1382/41598_2021_97362_Fig9_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/dfb6e2ffb411/41598_2021_97362_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/c640a0c9ff0d/41598_2021_97362_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/eefa73d47947/41598_2021_97362_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/e28786b7beb0/41598_2021_97362_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/d1c7257f6976/41598_2021_97362_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/2b37d781b6ed/41598_2021_97362_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/5c006677e8e2/41598_2021_97362_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/8ad216dd7fb9/41598_2021_97362_Fig8_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52cd/8426490/f7fda78c1382/41598_2021_97362_Fig9_HTML.jpg

相似文献

1
N6-methylandenosine-related lncRNAs play an important role in the prognosis and immune microenvironment of pancreatic ductal adenocarcinoma.N6-甲基腺苷相关长链非编码 RNA 在胰腺导管腺癌的预后和免疫微环境中发挥重要作用。
Sci Rep. 2021 Sep 8;11(1):17844. doi: 10.1038/s41598-021-97362-9.
2
Analysis of N6-methyladenosine-related lncRNAs in the tumor immune microenvironment and their prognostic role in pancreatic cancer.分析肿瘤免疫微环境中与 N6-甲基腺苷相关的长非编码 RNA 及其在胰腺癌中的预后作用。
J Cancer Res Clin Oncol. 2022 Jul;148(7):1613-1626. doi: 10.1007/s00432-022-03985-4. Epub 2022 Mar 21.
3
Identification and validation of a seven m6A-related lncRNAs signature predicting prognosis of ovarian cancer.鉴定和验证一个与 m6A 相关的七个长链非编码 RNA 标志物,用于预测卵巢癌的预后。
BMC Cancer. 2022 Jun 8;22(1):633. doi: 10.1186/s12885-022-09591-4.
4
N6-Methyladenosine-Related lncRNA Signature Predicts the Overall Survival of Colorectal Cancer Patients.N6-甲基腺苷相关长非编码 RNA 特征可预测结直肠癌患者的总生存期。
Genes (Basel). 2021 Aug 31;12(9):1375. doi: 10.3390/genes12091375.
5
N6-methyladenosine-related lncRNAs identified as potential biomarkers for predicting the overall survival of Asian gastric cancer patients.N6-甲基腺苷相关长链非编码 RNA 可作为预测亚洲胃癌患者总生存期的潜在生物标志物。
BMC Cancer. 2022 Jul 1;22(1):721. doi: 10.1186/s12885-022-09801-z.
6
Identification of a novel m6A-related lncRNA pair signature for predicting the prognosis of gastric cancer patients.鉴定一个新型 m6A 相关 lncRNA 对标志,用于预测胃癌患者的预后。
BMC Gastroenterol. 2022 Feb 21;22(1):76. doi: 10.1186/s12876-022-02159-3.
7
Development and validation of a novel N6-methyladenosine (m6A)-related multi- long non-coding RNA (lncRNA) prognostic signature in pancreatic adenocarcinoma.开发并验证一种新型的 N6-甲基腺苷(m6A)相关多长非编码 RNA(lncRNA)在胰腺腺癌中的预后标志物。
Bioengineered. 2021 Dec;12(1):2432-2448. doi: 10.1080/21655979.2021.1933868.
8
Comprehensive analysis of tumor immune microenvironment and prognosis of m6A-related lncRNAs in gastric cancer.胃癌中 m6A 相关 lncRNAs 的肿瘤免疫微环境综合分析与预后评估。
BMC Cancer. 2022 Mar 24;22(1):316. doi: 10.1186/s12885-022-09377-8.
9
Development and Verification of the Hypoxia- and Immune-Associated Prognostic Signature for Pancreatic Ductal Adenocarcinoma.缺氧和免疫相关的胰腺导管腺癌预后标志物的建立和验证。
Front Immunol. 2021 Oct 6;12:728062. doi: 10.3389/fimmu.2021.728062. eCollection 2021.
10
Prognostic signature based on m6A-related lncRNAs to predict overall survival in pancreatic ductal adenocarcinoma.基于 m6A 相关 lncRNAs 的预后特征预测胰腺导管腺癌的总生存期。
Sci Rep. 2022 Feb 23;12(1):3079. doi: 10.1038/s41598-022-07112-8.

引用本文的文献

1
Recent advances in noncoding RNA modifications of gastrointestinal cancer.胃肠道癌非编码RNA修饰的最新进展
Cancer Sci. 2025 Jan;116(1):8-20. doi: 10.1111/cas.16380. Epub 2024 Nov 1.
2
Identification of potential novel N6-methyladenosine effector-related lncRNA biomarkers for serous ovarian carcinoma: a machine learning-based exploration in the framework of 3P medicine.浆液性卵巢癌潜在新型N6-甲基腺苷效应相关长链非编码RNA生物标志物的鉴定:基于机器学习的3P医学框架探索
Front Pharmacol. 2024 Jun 4;15:1351929. doi: 10.3389/fphar.2024.1351929. eCollection 2024.
3
m6A-related lncRNAs as potential biomarkers and the lncRNA ELFN1-AS1/miR-182-5p/BCL-2 regulatory axis in diffuse large B-cell lymphoma.

本文引用的文献

1
Noncoding RNA therapeutics - challenges and potential solutions.非编码 RNA 治疗学——挑战与潜在解决方案。
Nat Rev Drug Discov. 2021 Aug;20(8):629-651. doi: 10.1038/s41573-021-00219-z. Epub 2021 Jun 18.
2
miRNAs and lncRNAs as Novel Therapeutic Targets to Improve Cancer Immunotherapy.微小RNA和长链非编码RNA作为改善癌症免疫治疗的新型治疗靶点
Cancers (Basel). 2021 Mar 30;13(7):1587. doi: 10.3390/cancers13071587.
3
Upregulation of METTL14 mediates the elevation of PERP mRNA N adenosine methylation promoting the growth and metastasis of pancreatic cancer.
m6A 相关 lncRNA 作为潜在的生物标志物和弥漫性大 B 细胞淋巴瘤中的 lncRNA ELFN1-AS1/miR-182-5p/BCL-2 调控轴。
J Cell Mol Med. 2024 Jan;28(2):e18046. doi: 10.1111/jcmm.18046. Epub 2023 Dec 1.
4
Regulatory role of RNA modifications in the treatment of pancreatic ductal adenocarcinoma (PDAC).RNA修饰在胰腺导管腺癌(PDAC)治疗中的调控作用。
Heliyon. 2023 Oct 17;9(11):e20969. doi: 10.1016/j.heliyon.2023.e20969. eCollection 2023 Nov.
5
A prognostic model based on tumor microenvironment-related lncRNAs predicts therapy response in pancreatic cancer.基于肿瘤微环境相关长链非编码 RNA 的预后模型预测胰腺癌的治疗反应。
Funct Integr Genomics. 2023 Jan 10;23(1):32. doi: 10.1007/s10142-023-00964-x.
6
The development and validation of a m6A-lncRNAs based prognostic model for overall survival in lung squamous cell carcinoma.基于m6A长链非编码RNA的肺鳞状细胞癌总生存预后模型的构建与验证
J Thorac Dis. 2022 Oct;14(10):4055-4072. doi: 10.21037/jtd-22-1185.
7
Establishment of Prognostic Signatures of N6-Methyladenosine-Related lncRNAs and Their Potential Functions in Hepatocellular Carcinoma Patients.N6-甲基腺苷相关长链非编码RNA的预后特征建立及其在肝癌患者中的潜在功能
Front Oncol. 2022 Jun 6;12:865917. doi: 10.3389/fonc.2022.865917. eCollection 2022.
8
Emerging Role of Epigenetic Alterations as Biomarkers and Novel Targets for Treatments in Pancreatic Ductal Adenocarcinoma.表观遗传改变作为胰腺导管腺癌生物标志物和新型治疗靶点的新作用
Cancers (Basel). 2022 Jan 21;14(3):546. doi: 10.3390/cancers14030546.
9
Function of N6-Methyladenosine Modification in Tumors.N6-甲基腺苷修饰在肿瘤中的作用
J Oncol. 2021 Nov 23;2021:6461552. doi: 10.1155/2021/6461552. eCollection 2021.
上调 METTL14 介导 PERP mRNA N6-腺苷甲基化水平升高,促进胰腺癌的生长和转移。
Mol Cancer. 2020 Aug 25;19(1):130. doi: 10.1186/s12943-020-01249-8.
4
Long non-coding RNA MIR4435-1HG promotes cancer growth in clear cell renal cell carcinoma.长链非编码RNA MIR4435-1HG促进透明细胞肾细胞癌的肿瘤生长。
Cancer Biomark. 2020;29(1):39-50. doi: 10.3233/CBM-201451.
5
RNA demethylase ALKBH5 prevents pancreatic cancer progression by posttranscriptional activation of PER1 in an m6A-YTHDF2-dependent manner.RNA 去甲基酶 ALKBH5 通过 m6A-YTHDF2 依赖的方式在后转录水平激活 PER1 来阻止胰腺癌细胞的进展。
Mol Cancer. 2020 May 19;19(1):91. doi: 10.1186/s12943-020-01158-w.
6
N-methyladenosine mRNA methylation of regulates AKT signalling to promote PTEN-deficient pancreatic cancer progression.m6A 甲基化修饰调控 AKT 信号通路促进 PTEN 缺失型胰腺癌细胞进展。
Gut. 2020 Dec;69(12):2180-2192. doi: 10.1136/gutjnl-2019-320179. Epub 2020 Apr 20.
7
Epigenetic alterations in cancer.癌症中的表观遗传改变。
Front Biosci (Landmark Ed). 2020 Mar 1;25(6):1058-1109. doi: 10.2741/4847.
8
mA demethylase ALKBH5 inhibits pancreatic cancer tumorigenesis by decreasing WIF-1 RNA methylation and mediating Wnt signaling.mA 去甲基化酶 ALKBH5 通过降低 WIF-1 RNA 甲基化并介导 Wnt 信号通路抑制胰腺癌发生。
Mol Cancer. 2020 Jan 6;19(1):3. doi: 10.1186/s12943-019-1128-6.
9
IGF2BP2 regulates DANCR by serving as an N6-methyladenosine reader.IGF2BP2 通过作为 N6-甲基腺苷的读取器来调节 DANCR。
Cell Death Differ. 2020 Jun;27(6):1782-1794. doi: 10.1038/s41418-019-0461-z. Epub 2019 Dec 5.
10
DIANA-LncBase v3: indexing experimentally supported miRNA targets on non-coding transcripts.DIANA-LncBase v3:在非编码转录本上索引实验支持的 miRNA 靶标。
Nucleic Acids Res. 2020 Jan 8;48(D1):D101-D110. doi: 10.1093/nar/gkz1036.