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揭示坏死性凋亡微环境的作用:FCGBP+肿瘤相关巨噬细胞驱动原发性肝癌向胆管细胞型肝细胞癌或肝内胆管癌分化。

Revealing the role of necroptosis microenvironment: FCGBP + tumor-associated macrophages drive primary liver cancer differentiation towards cHCC-CCA or iCCA.

作者信息

Wang Chun, Chen Cuimin, Hu Wenting, Tao Lili, Chen Jiakang

机构信息

Department of Pathology, Peking University Shenzhen Hospital, Shenzhen, Guangdong Province, China.

出版信息

Apoptosis. 2024 Apr;29(3-4):460-481. doi: 10.1007/s10495-023-01908-3. Epub 2023 Nov 28.

DOI:10.1007/s10495-023-01908-3
PMID:38017206
Abstract

Previous research has demonstrated that the conversion of hepatocellular carcinoma (HCC) to intrahepatic cholangiocarcinoma (iCCA) can be stimulated by manipulating the tumor microenvironment linked with necroptosis. However, the specific cells regulating the necroptosis microenvironment have not yet been identified. Additionally, further inquiry into the mechanism of how the tumor microenvironment regulates necroptosis and its impact on primary liver cancer(PLC) progression may be beneficial for precision therapy. We recruited a single-cell RNA sequencing dataset (scRNA-seq) with 34 samples from 4 HCC patients and 3 iCCA patients, and a Spatial Transcriptomic (ST) dataset including one each of HCC, iCCA, and combined hepatocellular-cholangiocarcinoma (cHCC-CCA). Quality control, dimensionality reduction and clustering were based on Seurat software (v4.2.2) process and batch effects were removed by harmony (v0.1.1) software. The pseudotime analysis (also known as cell trajectory) in the single cell dataset was performed by monocle2 software (v2.24.0). Calculation of necroptosis fraction was performed by AUCell (v1.16.0) software. Switch gene analysis was performed by geneSwitches(v0.1.0) software. Dimensionality reduction, clustering, and spatial image in ST dataset were performed by Seurat (v4.0.2). Tumor cell identification, tumor subtype characterization, and cell type deconvolution in spot were performed by SpaCET (v1.0.0) software. Immunofluorescence and immunohistochemistry experiments were used to prove our conclusions. Analysis of intercellular communication was performed using CellChat software (v1.4.0). ScRNA-seq analysis of HCC and iCCA revealed that necroptosis predominantly occurred in the myeloid cell subset, particularly in FCGBP + SPP1 + tumor-associated macrophages (TAMs), which had the highest likelihood of undergoing necroptosis. The existence of macrophages undergoing necroptosis cell death was further confirmed by immunofluorescence. Regions of HCC with poor differentiation, cHCC-CCA with more cholangiocarcinoma features, and the tumor region of iCCA shared spatial colocalization with FCGBP + macrophages, as confirmed by spatial transcriptomics, immunohistochemistry and immunofluorescence. Pseudotime analysis showed that premalignant cells could progress into two directions, one towards HCC and the other towards iCCA and cHCC-CCA. Immunofluorescence and immunohistochemistry experiments demonstrated that the number of macrophages undergoing necroptosis in cHCC-CCA was higher than in iCCA and HCC, the number of macrophages undergoing necroptosis in cHCC-CCA with cholangiocarcinoma features was more than in cHCC-CCA with hepatocellular carcinoma features. Further investigation showed that myeloid cells with the highest necroptosis score were derived from the HCC_4 case, which had a severe inflammatory background on pathological histology and was likely to progress towards iCCA and cHCC-CCA. Switchgene analysis indicated that S100A6 may play a significant role in the progression of premalignant cells towards iCCA and cHCC-CCA. Immunohistochemistry confirmed the expression of S100A6 in PLC, the more severe inflammatory background of the tumor area, the more cholangiocellular carcinoma features of the tumor area, S100A6 expression was higher. The emergence of necroptosis microenvironment was found to be significantly associated with FCGBP + SPP1 + TAMs in PLC. In the presence of necroptosis microenvironment, premalignant cells appeared to transform into iCCA or cHCC-CCA. In contrast, without a necroptosis microenvironment, premalignant cells tended to develop into HCC, exhibiting amplified stemness-related genes (SRGs) and heightened malignancy.

摘要

先前的研究表明,通过操纵与坏死性凋亡相关的肿瘤微环境,可以刺激肝细胞癌(HCC)向肝内胆管癌(iCCA)的转变。然而,尚未确定调节坏死性凋亡微环境的具体细胞。此外,进一步探究肿瘤微环境如何调节坏死性凋亡及其对原发性肝癌(PLC)进展的影响,可能有助于精准治疗。我们收集了一个单细胞RNA测序数据集(scRNA-seq),包含来自4例HCC患者和3例iCCA患者的34个样本,以及一个空间转录组学(ST)数据集,其中包括1例HCC、1例iCCA和1例肝细胞-胆管细胞癌合并症(cHCC-CCA)。质量控制、降维和聚类基于Seurat软件(v4.2.2)进行,批次效应通过harmony(v0.1.1)软件去除。单细胞数据集中的伪时间分析(也称为细胞轨迹分析)由monocle2软件(v2.24.0)执行。坏死性凋亡分数的计算由AUCell(v1.16.0)软件完成。转换基因分析由geneSwitches(v0.1.0)软件进行。ST数据集中的降维、聚类和空间图像分析由Seurat(v4.0.2)完成。肿瘤细胞识别、肿瘤亚型特征分析和斑点中的细胞类型解卷积由SpaCET(v1.0.0)软件进行。免疫荧光和免疫组织化学实验用于验证我们的结论。使用CellChat软件(v1.4.0)进行细胞间通讯分析。对HCC和iCCA的scRNA-seq分析表明,坏死性凋亡主要发生在髓细胞亚群中,特别是在FCGBP+SPP1+肿瘤相关巨噬细胞(TAM)中,这些细胞发生坏死性凋亡的可能性最高。免疫荧光进一步证实了发生坏死性凋亡细胞死亡的巨噬细胞的存在。空间转录组学、免疫组织化学和免疫荧光证实,分化差的HCC区域、具有更多胆管癌特征的cHCC-CCA区域以及iCCA的肿瘤区域与FCGBP+巨噬细胞存在空间共定位。伪时间分析表明,癌前细胞可向两个方向发展,一个方向是向HCC发展,另一个方向是向iCCA和cHCC-CCA发展。免疫荧光和免疫组织化学实验表明,cHCC-CCA中发生坏死性凋亡的巨噬细胞数量高于iCCA和HCC,具有胆管癌特征的cHCC-CCA中发生坏死性凋亡的巨噬细胞数量多于具有肝细胞癌特征的cHCC-CCA。进一步研究表明,坏死性凋亡评分最高的髓细胞来源于HCC_4病例,该病例在病理组织学上有严重的炎症背景,且可能向iCCA和cHCC-CCA发展。转换基因分析表明S100A6可能在癌前细胞向iCCA和cHCC-CCA发展过程中起重要作用。免疫组织化学证实了S100A6在PLC中的表达,肿瘤区域炎症背景越严重,肿瘤区域胆管细胞癌特征越明显,S100A6表达越高。发现坏死性凋亡微环境的出现与PLC中FCGBP+SPP1+TAM显著相关。在存在坏死性凋亡微环境的情况下,癌前细胞似乎会转变为iCCA或cHCC-CCA。相反,在没有坏死性凋亡微环境的情况下,癌前细胞倾向于发展为HCC,表现出扩增的干性相关基因(SRG)和更高的恶性程度。

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