• 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

长非编码 RNA 景观在前列腺癌分子亚型：一种特征选择方法。

Long Non-Coding RNA Landscape in Prostate Cancer Molecular Subtypes: A Feature Selection Approach.

机构信息

Molecular Diagnostics and Pharmacogenetics Unit, IRCCS IstitutoTumori Giovanni Paolo II, 70124 Bari, Italy.

Laboratory of Nanotechnology, IRCCS IstitutoTumori Giovanni Paolo II, 70124 Bari, Italy.

出版信息

Int J Mol Sci. 2021 Feb 23;22(4):2227. doi: 10.3390/ijms22042227.

DOI:10.3390/ijms22042227
PMID:33672425
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7926489/
Abstract

Prostate cancer is one of the most common malignancies in men. It is characterized by a high molecular genomic heterogeneity and, thus, molecular subtypes, that, to date, have not been used in clinical practice. In the present paper, we aimed to better stratify prostate cancer patients through the selection of robust long non-coding RNAs. To fulfill the purpose of the study, a bioinformatic approach focused on feature selection applied to a TCGA dataset was used. In such a way, LINC00668 and long non-coding(lnc)-SAYSD1-1, able to discriminate ERG/not-ERG subtypes, were demonstrated to be positive prognostic biomarkers in ERG-positive patients. Furthermore, we performed a comparison between mutated prostate cancer, identified as "classified", and a group of patients with no peculiar genomic alteration, named "not-classified". Moreover, LINC00920 lncRNA overexpression has been linked to a better outcome of the hormone regimen. Through the feature selection approach, it was found that the overexpression of lnc-ZMAT3-3 is related to low-grade patients, and three lncRNAs: lnc-SNX10-87, lnc-AP1S2-2, and ADPGK-AS1 showed, through a co-expression analysis, significant correlation values with potentially druggable pathways. In conclusion, the data mining of publicly available data and robust bioinformatic analyses are able to explore the unknown biology of malignancies.

摘要

前列腺癌是男性最常见的恶性肿瘤之一。它的特点是具有高度的分子基因组异质性，因此存在分子亚型，但迄今为止尚未在临床实践中应用。在本文中，我们旨在通过选择稳健的长非编码 RNA 来更好地对前列腺癌患者进行分层。为了实现研究目的，使用了一种针对 TCGA 数据集的专注于特征选择的生物信息学方法。通过这种方式，能够区分 ERG/非 ERG 亚型的 LINC00668 和长非编码(lnc)-SAYSD1-1 被证明是 ERG 阳性患者的阳性预后生物标志物。此外，我们对突变型前列腺癌（被鉴定为“分类”）和一组没有特殊基因组改变的患者（命名为“未分类”）进行了比较。此外，LINC00920 lncRNA 的过表达与激素治疗方案的更好结果相关。通过特征选择方法发现，lnc-ZMAT3-3 的过表达与低级别患者相关，并且通过共表达分析发现三个 lncRNA：lnc-SNX10-87、lnc-AP1S2-2 和 ADPGK-AS1 与潜在可成药途径具有显著的相关值。总之，对公开可用数据的挖掘和稳健的生物信息学分析能够探索恶性肿瘤的未知生物学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/06e73e40cb4b/ijms-22-02227-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/d79a223171fc/ijms-22-02227-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/74f73edcd4b8/ijms-22-02227-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/79dd3819a73b/ijms-22-02227-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/c6f193c0109f/ijms-22-02227-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/3ffaa550e685/ijms-22-02227-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/6bbe28f9cdf8/ijms-22-02227-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/4c96f6c87f75/ijms-22-02227-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/06e73e40cb4b/ijms-22-02227-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/d79a223171fc/ijms-22-02227-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/74f73edcd4b8/ijms-22-02227-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/79dd3819a73b/ijms-22-02227-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/c6f193c0109f/ijms-22-02227-g004a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/3ffaa550e685/ijms-22-02227-g005a.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/6bbe28f9cdf8/ijms-22-02227-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/4c96f6c87f75/ijms-22-02227-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ce/7926489/06e73e40cb4b/ijms-22-02227-g008.jpg

相似文献

1
Long Non-Coding RNA Landscape in Prostate Cancer Molecular Subtypes: A Feature Selection Approach.长非编码 RNA 景观在前列腺癌分子亚型：一种特征选择方法。
Int J Mol Sci. 2021 Feb 23;22(4):2227. doi: 10.3390/ijms22042227.
2
Identification of HCG18 and MCM3AP-AS1 That Associate With Bone Metastasis, Poor Prognosis and Increased Abundance of M2 Macrophage Infiltration in Prostate Cancer.鉴定与前列腺癌骨转移、不良预后以及 M2 巨噬细胞浸润丰度增加相关的 HCG18 和 MCM3AP-AS1。
Technol Cancer Res Treat. 2021 Jan-Dec;20:1533033821990064. doi: 10.1177/1533033821990064.
3
Significance of the TMPRSS2:ERG gene fusion in prostate cancer.TMPRSS2:ERG 基因融合在前列腺癌中的意义。
Mol Med Rep. 2017 Oct;16(4):5450-5458. doi: 10.3892/mmr.2017.7281. Epub 2017 Aug 18.
4
LncRNA DSCAM-AS1 interacts with YBX1 to promote cancer progression by forming a positive feedback loop that activates FOXA1 transcription network.长链非编码 RNA DSCAM-AS1 通过与 YBX1 相互作用形成正反馈环，激活 FOXA1 转录网络，从而促进癌症进展。
Theranostics. 2020 Aug 29;10(23):10823-10837. doi: 10.7150/thno.47830. eCollection 2020.
5
Coexpression Network Analysis Identifies a Novel Nine-RNA Signature to Improve Prognostic Prediction for Prostate Cancer Patients.共表达网络分析确定了一个新的九 RNA 特征，以改善前列腺癌患者的预后预测。
Biomed Res Int. 2020 Sep 1;2020:4264291. doi: 10.1155/2020/4264291. eCollection 2020.
6
Transcriptional network modulated by the prognostic signature transcription factors and their long noncoding RNA partners in primary prostate cancer.原发性前列腺癌中预后相关转录因子及其长链非编码 RNA 伴侣调控的转录网络。
EBioMedicine. 2021 Jan;63:103150. doi: 10.1016/j.ebiom.2020.103150. Epub 2020 Dec 3.
7
AR and ERG drive the expression of prostate cancer specific long noncoding RNAs.AR 和 ERG 驱动前列腺癌特异性长非编码 RNA 的表达。
Oncogene. 2020 Jul;39(30):5241-5251. doi: 10.1038/s41388-020-1365-6. Epub 2020 Jun 17.
8
Excavating novel diagnostic and prognostic long non-coding RNAs (lncRNAs) for head and neck squamous cell carcinoma: an integrated bioinformatics analysis of competing endogenous RNAs (ceRNAs) and gene co-expression networks.挖掘新型诊断和预后长链非编码 RNA（lncRNA）对头颈鳞状细胞癌的作用：竞争性内源性 RNA（ceRNA）和基因共表达网络的综合生物信息学分析。
Bioengineered. 2021 Dec;12(2):12821-12838. doi: 10.1080/21655979.2021.2003925.
9
The long noncoding RNA landscape of neuroendocrine prostate cancer and its clinical implications.神经内分泌前列腺癌的长非编码 RNA 图谱及其临床意义。
Gigascience. 2018 Jun 1;7(6). doi: 10.1093/gigascience/giy050.
10
Identification of potential autophagy-associated lncRNA in prostate cancer.鉴定前列腺癌中潜在的自噬相关长链非编码 RNA。
Aging (Albany NY). 2021 May 10;13(9):13153-13165. doi: 10.18632/aging.202997.

引用本文的文献

1
In Silico Bioinformatics Analysis on the Role of Long Non-Coding RNAs as Drivers and Gatekeepers of Androgen-Independent Prostate Cancer Using LNCaP and PC-3 Cells.利用LNCaP和PC-3细胞对长链非编码RNA作为雄激素非依赖性前列腺癌驱动因子和守门人的作用进行计算机生物信息学分析。
Curr Issues Mol Biol. 2023 Sep 1;45(9):7257-7274. doi: 10.3390/cimb45090459.
2
Evaluating the utility of an immune checkpoint-related lncRNA signature for identifying the prognosis and immunotherapy response of lung adenocarcinoma.评估免疫检查点相关长链非编码 RNA 标志物用于识别肺腺癌患者预后和免疫治疗反应的效用。
Sci Rep. 2022 Jul 27;12(1):12785. doi: 10.1038/s41598-022-16715-0.

本文引用的文献

1
The ERG-Regulated Promotes Prostate Cancer Cell Survival via the 14-3-3ε-FOXO Pathway.ERG 调控的 14-3-3ε-FOXO 通路促进前列腺癌细胞存活。
Mol Cancer Res. 2020 Oct;18(10):1545-1559. doi: 10.1158/1541-7786.MCR-20-0021. Epub 2020 Jul 9.
2
European cancer mortality predictions for the year 2020 with a focus on prostate cancer.欧洲 2020 年癌症死亡率预测，重点关注前列腺癌。
Ann Oncol. 2020 May;31(5):650-658. doi: 10.1016/j.annonc.2020.02.009. Epub 2020 Apr 19.
3
lncRNA UCA1 Functions as a ceRNA to Promote Prostate Cancer Progression via Sponging miR143.
长链非编码RNA UCA1作为竞争性内源RNA，通过吸附miR143促进前列腺癌进展。
Mol Ther Nucleic Acids. 2020 Mar 6;19:751-758. doi: 10.1016/j.omtn.2019.11.021. Epub 2019 Nov 27.
4
LncRNA LINC02418 regulates proliferation and apoptosis of non-small cell lung cancer cells by regulating miR-4677-3p/SEC61G.LncRNA LINC02418 通过调控 miR-4677-3p/SEC61G 来调节非小细胞肺癌细胞的增殖和凋亡。
Eur Rev Med Pharmacol Sci. 2019 Dec;23(23):10354-10362. doi: 10.26355/eurrev_201912_19673.
5
LncRNA LINC00668 promotes the progression of breast cancer by inhibiting apoptosis and accelerating cell cycle.长链非编码RNA LINC00668通过抑制细胞凋亡和加速细胞周期来促进乳腺癌的进展。
Onco Targets Ther. 2019 Jul 11;12:5615-5625. doi: 10.2147/OTT.S188933. eCollection 2019.
6
Long noncoding RNA LINC02418 regulates MELK expression by acting as a ceRNA and may serve as a diagnostic marker for colorectal cancer.长链非编码 RNA LINC02418 通过作为 ceRNA 调节 MELK 的表达，可作为结直肠癌的诊断标志物。
Cell Death Dis. 2019 Jul 29;10(8):568. doi: 10.1038/s41419-019-1804-x.
7
Re: Addition of Radium-223 to Abiraterone Acetate and Prednisone or Prednisolone in Patients with Castration-resistant Prostate Cancer and Bone Metastases (ERA 223): A Randomised, Double-blind, Placebo-controlled, Phase 3 Trial.回复：在去势抵抗性前列腺癌和骨转移患者中，在醋酸阿比特龙和泼尼松或泼尼松龙基础上加用镭-223（ERA 223）：一项随机、双盲、安慰剂对照的3期试验。
Eur Urol. 2019 Nov;76(5):705-706. doi: 10.1016/j.eururo.2019.07.021. Epub 2019 Jul 27.
8
LINC00668 promotes tumorigenesis and progression through sponging miR-188-5p and regulating USP47 in colorectal cancer.LINC00668 通过海绵吸附 miR-188-5p 和调节 USP47 促进结直肠癌的发生和发展。
Eur J Pharmacol. 2019 Sep 5;858:172464. doi: 10.1016/j.ejphar.2019.172464. Epub 2019 Jun 22.
9
LncRNA FOXP4-AS1 is activated by PAX5 and promotes the growth of prostate cancer by sequestering miR-3184-5p to upregulate FOXP4.长链非编码 RNA FOXP4-AS1 受 PAX5 激活，并通过与 miR-3184-5p 结合来上调 FOXP4，从而促进前列腺癌的生长。
Cell Death Dis. 2019 Jun 17;10(7):472. doi: 10.1038/s41419-019-1699-6.
10
Enzalutamide with Standard First-Line Therapy in Metastatic Prostate Cancer.恩扎卢胺联合标准一线治疗转移性前列腺癌。
N Engl J Med. 2019 Jul 11;381(2):121-131. doi: 10.1056/NEJMoa1903835. Epub 2019 Jun 2.