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空间转录组学在前列腺癌研究中的应用与前景:一篇叙述性综述。

Applications and prospects of spatial transcriptomics in prostate cancer research: A narrative review.

作者信息

Jin Yiling, Bai Zhiming, Wang Gang, Zhang Yu, Chen Jing

机构信息

Department of Radiology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.

Department of Urology, Affiliated Haikou Hospital of Xiangya Medical College, Central South University, Haikou, China.

出版信息

Curr Urol. 2025 Sep;19(5):303-308. doi: 10.1097/CU9.0000000000000288. Epub 2025 May 23.

DOI:10.1097/CU9.0000000000000288
PMID:40894285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12398377/
Abstract

Spatial transcriptomics, an increasingly prominent technique, has been extensively utilized to examine tumors within the digestive tract (such as liver and colorectal cancers) and the nervous system. However, its application in prostate cancer research remains comparatively limited. This article provides a detailed overview of the principles and features of spatial transcriptomics, particularly highlighting its applications in studying the tumor microenvironment, heterogeneity, and clinical implications in prostate cancer. Through a systematic review and analysis of current literature, we identify the main focus areas and limitations of existing research on spatial transcriptomics and suggest potential future research directions.

摘要

空间转录组学是一种日益突出的技术,已被广泛用于研究消化道肿瘤(如肝癌和结直肠癌)以及神经系统。然而,其在前列腺癌研究中的应用仍然相对有限。本文详细概述了空间转录组学的原理和特点,特别强调了其在研究前列腺癌肿瘤微环境、异质性及临床意义方面的应用。通过对当前文献的系统综述和分析,我们确定了空间转录组学现有研究的主要重点领域和局限性,并提出了未来潜在的研究方向。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3345/12398377/2d2a82a6b973/curr-urol-19-303-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3345/12398377/2d2a82a6b973/curr-urol-19-303-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3345/12398377/2d2a82a6b973/curr-urol-19-303-g001.jpg

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本文引用的文献

1
The implications of single-cell RNA-seq analysis in prostate cancer: unraveling tumor heterogeneity, therapeutic implications and pathways towards personalized therapy.单细胞 RNA 测序分析在前列腺癌中的意义:揭示肿瘤异质性、治疗意义及个体化治疗的途径。
Mil Med Res. 2024 Apr 11;11(1):21. doi: 10.1186/s40779-024-00526-7.
2
Global cancer statistics 2022: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.2022 年全球癌症统计数据:全球 185 个国家和地区 36 种癌症的发病率和死亡率全球估计数。
CA Cancer J Clin. 2024 May-Jun;74(3):229-263. doi: 10.3322/caac.21834. Epub 2024 Apr 4.
3
Identification of an anaplastic subtype of prostate cancer amenable to therapies targeting SP1 or translation elongation.
鉴定出一种对靶向 SP1 或翻译延伸的治疗方法敏感的前列腺癌去分化亚型。
Sci Adv. 2024 Apr 5;10(14):eadm7098. doi: 10.1126/sciadv.adm7098. Epub 2024 Apr 3.
4
Integration Analysis of Single-Cell Multi-Omics Reveals Prostate Cancer Heterogeneity.单细胞多组学整合分析揭示前列腺癌异质性。
Adv Sci (Weinh). 2024 May;11(18):e2305724. doi: 10.1002/advs.202305724. Epub 2024 Mar 14.
5
Applications of single‑cell omics and spatial transcriptomics technologies in gastric cancer (Review).单细胞组学和空间转录组学技术在胃癌中的应用(综述)
Oncol Lett. 2024 Feb 14;27(4):152. doi: 10.3892/ol.2024.14285. eCollection 2024 Apr.
6
Extracellular vesicles related gene HSPH1 exerts anti-tumor effects in prostate cancer via promoting the stress response of CD8 + T cells.细胞外囊泡相关基因 HSPH1 通过促进 CD8+T 细胞应激反应在前列腺癌中发挥抗肿瘤作用。
Cell Oncol (Dordr). 2024 Jun;47(3):1059-1064. doi: 10.1007/s13402-023-00905-7. Epub 2024 Jan 2.
7
Visium spatial transcriptomics reveals intratumor heterogeneity and profiles of Gleason score progression in prostate cancer.Visium空间转录组学揭示了前列腺癌的肿瘤内异质性和Gleason评分进展情况。
iScience. 2023 Nov 10;26(12):108429. doi: 10.1016/j.isci.2023.108429. eCollection 2023 Dec 15.
8
Spatial whole transcriptome profiling of primary tumor from patients with metastatic prostate cancer.对转移性前列腺癌患者原发肿瘤的空间全转录组进行分析。
Int J Cancer. 2023 Dec 15;153(12):2055-2067. doi: 10.1002/ijc.34708. Epub 2023 Sep 1.
9
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J Transl Med. 2023 May 18;21(1):330. doi: 10.1186/s12967-023-04150-2.
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2022 Update on Prostate Cancer Epidemiology and Risk Factors-A Systematic Review.2022 年前列腺癌流行病学和风险因素的更新:系统评价。
Eur Urol. 2023 Aug;84(2):191-206. doi: 10.1016/j.eururo.2023.04.021. Epub 2023 May 16.