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致编辑的信:肿瘤-免疫相互作用的空间接近性可预测肝细胞癌患者的预后。

Letter to the Editor: Spatial proximity of tumor-immune interactions predicts patient outcome in hepatocellular carcinoma.

作者信息

Peng Gaoyao, Li Jiangfa, Wang Xinchou

机构信息

Department of Breast Surgery, Guilin Women's and Children's Hospital, No. 20, Fengbei Road, Guilin, China.

Department of Hepatobiliary and Pancreatic Surgery, Affiliated Hospital of Guilin Medical University, Xiufen District, No. 15, Lequn Road, Guilin, 541001, Guangxi, China.

出版信息

Discov Oncol. 2024 Dec 18;15(1):763. doi: 10.1007/s12672-024-01666-x.

DOI:10.1007/s12672-024-01666-x
PMID:39692925
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11655715/
Abstract

We read with interest the study entitled "Spatial proximity of tumor-immune interactions predicts patient outcome in hepatocellular "in Hepatology (Maestri E, Kedei N, Khatib S, et al. in Hepatology 79(4):768-79, 2024). This study utilized highly multiplexed CODEX imaging to comprehensively analyze the spatial interactions between tumor and immune cells in hepatocellular carcinoma (HCC), yielding several meaningful findings and innovatively proposing the concept of the spatial neighborhood of immune cell infiltration and confirming its association with patient prognosis. After reading the article carefully, we have some suggestions to point out.

摘要

我们饶有兴趣地阅读了发表于《肝脏病学》杂志(Maestri E、Kedei N、Khatib S等,《肝脏病学》79(4):768 - 79, 2024)上题为“肿瘤 - 免疫相互作用的空间邻近性预测肝细胞癌患者预后”的研究。该研究利用高度多重的CODEX成像技术全面分析了肝细胞癌(HCC)中肿瘤细胞与免疫细胞之间的空间相互作用,得出了一些有意义的发现,并创新性地提出了免疫细胞浸润空间邻域的概念,并证实了其与患者预后的关联。在仔细阅读该文章后,我们有一些建议要指出。

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Letter to the Editor: Spatial proximity of tumor-immune interactions predicts patient outcome in hepatocellular carcinoma.致编辑的信:肿瘤-免疫相互作用的空间接近性可预测肝细胞癌患者的预后。
Discov Oncol. 2024 Dec 18;15(1):763. doi: 10.1007/s12672-024-01666-x.
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本文引用的文献

1
Virtual multiplexed immunofluorescence staining from non-antibody-stained fluorescence imaging for gastric cancer prognosis.非抗体染色荧光成像的虚拟多重免疫荧光染色用于胃癌预后。
EBioMedicine. 2024 Sep;107:105287. doi: 10.1016/j.ebiom.2024.105287. Epub 2024 Aug 17.
2
Plantorganelle Hunter is an effective deep-learning-based method for plant organelle phenotyping in electron microscopy.植物细胞器猎手是一种基于深度学习的有效方法,可用于电子显微镜下的植物细胞器表型分析。
Nat Plants. 2023 Oct;9(10):1760-1775. doi: 10.1038/s41477-023-01527-5. Epub 2023 Sep 25.
3
Spatial proximity of tumor-immune interactions predicts patient outcome in hepatocellular carcinoma.肿瘤免疫相互作用的空间邻近性可预测肝癌患者的预后。
Hepatology. 2024 Apr 1;79(4):768-779. doi: 10.1097/HEP.0000000000000600. Epub 2023 Sep 19.
4
Comprehensive analysis of scRNA-Seq and bulk RNA-Seq reveals dynamic changes in the tumor immune microenvironment of bladder cancer and establishes a prognostic model.综合分析 scRNA-Seq 和 bulk RNA-Seq 揭示膀胱癌肿瘤免疫微环境的动态变化,并建立一个预后模型。
J Transl Med. 2023 Mar 27;21(1):223. doi: 10.1186/s12967-023-04056-z.
5
Noninvasive imaging of the tumor immune microenvironment correlates with response to immunotherapy in gastric cancer.肿瘤免疫微环境的无创成像与胃癌免疫治疗的反应相关。
Nat Commun. 2022 Aug 30;13(1):5095. doi: 10.1038/s41467-022-32816-w.
6
Multi-Scale Spatial Analysis of the Tumor Microenvironment Reveals Features of Cabozantinib and Nivolumab Efficacy in Hepatocellular Carcinoma.多尺度肿瘤微环境空间分析揭示卡博替尼和纳武利尤单抗治疗肝细胞癌的疗效特征。
Front Immunol. 2022 May 13;13:892250. doi: 10.3389/fimmu.2022.892250. eCollection 2022.
7
RADIomic Spatial TexturAl Descriptor (RADISTAT): Quantifying Spatial Organization of Imaging Heterogeneity Associated With Tumor Response to Treatment.放射组学空间纹理描述符(RADISTAT):量化与肿瘤治疗反应相关的影像异质性的空间组织
IEEE J Biomed Health Inform. 2022 Jun;26(6):2627-2636. doi: 10.1109/JBHI.2022.3146778. Epub 2022 Jun 3.
8
Single-cell RNA-seq reveals dynamic change in tumor microenvironment during pancreatic ductal adenocarcinoma malignant progression.单细胞 RNA 测序揭示了胰腺导管腺癌恶性进展过程中肿瘤微环境的动态变化。
EBioMedicine. 2021 Apr;66:103315. doi: 10.1016/j.ebiom.2021.103315. Epub 2021 Apr 2.