Revelation of comprehensive cell profiling of primary and metastatic tumour ecosystems in oral squamous cell carcinoma by single-cell transcriptomic analysis.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-08-26 eCollection Date: 2024-01-01 DOI:10.7150/ijms.97404
Yin-Han Liao, Li Chen, Bing-Hua Feng, Wei Lv, Xuan-Ping Huang, Hao Li, Cui-Ping Li
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Abstract

Background: The analysis of single-cell transcriptome profiling of tumour tissue isolates helps to identify heterogeneous tumour cells, neighbouring stromal cells and immune cells. Local metastasis of lymph nodes is the most dominant and influential biological behaviors of oral squamous cell carcinoma (OSCC) in terms of treatment prognosis. Understanding metastasis initiation and progression is important for the discovery of new treatments for OSCC and prediction of clinical responses to immunotherapy. However, the identity of metastasis-initiating cells in human OSCC remains elusive, and whether metastases are hierarchically organized is unknown. Therefore, this study was conducted to understand the cellular origins and gene expression signature of OSCC at the single-cell level. Methods: Single-cell RNA sequencing (scRNA-seq) was used to analyze cells from tissue of para-carcinoma (PCA: adjacent normal tissue not less than 2 cm from the tumour), carcinoma (CA), lymph node metastasis (LNM) from patients with OSCC and PCA and CA tissue from patients with second primary OSCC (SPOSCC) after radiotherapy of nasopharyngeal carcinoma (NPC). The cell types and their underlying functions were classified. The comparisons were then conducted between the homology and heterogeneity from cell types and both conservative and heterogeneous aspects of evolution were identified. Immunohistochemistry was performed to verify the makers of cell clusters and the expression level of novel genes. Results: A single-cell transcriptomic map of OSCC was created, including 16 clusters of PCA cells, 17 clusters of CA cells, 14 clusters of left LNM cells, and 14 clusters of right LNM cells. We also discovered two novel types of cells including CD1C-CD141-dendritic cells and CD1C+_B dendritic cells. Most of the non-cancer cells are immune cells, with two distinct clusters of T lymphocytes, B lymphocytes, CD1C-CD141-dendritic cells+ and CD1C+_B dendritic cells. We also classified cells into 15 clusters for SPOSCC after radiotherapy of NPC. Determining the upregulated expression levels of IL1RN and C15orf48 as novel markers using immunohistochemistry facilitated the correct classification of OSCC including SPOSCC after radiotherapy of NPC and the prediction of their prognosis. Conclusions: The findings provided an unprecedented and valuable view of the functional states and heterogeneity of cell populations in LNM of OSCC and SPOSCC after radiotherapy of NPC at single-cell genomic resolution. Moreover, this transcriptomic map discovered new cell types in mouth, and novel tumour cell-specific markers/oncogene.

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通过单细胞转录组学分析揭示口腔鳞状细胞癌原发和转移肿瘤生态系统的综合细胞谱。
背景:对肿瘤组织分离物进行单细胞转录组分析有助于识别异质性肿瘤细胞、邻近基质细胞和免疫细胞。就治疗预后而言,淋巴结局部转移是口腔鳞状细胞癌(OSCC)最主要、最具影响力的生物学行为。了解转移的发生和发展对于发现 OSCC 的新疗法和预测免疫疗法的临床反应非常重要。然而,人类 OSCC 中转移启动细胞的身份仍然难以捉摸,转移是否分层组织也不得而知。因此,本研究旨在从单细胞水平了解 OSCC 的细胞起源和基因表达特征。研究方法采用单细胞RNA测序(scRNA-seq)分析了OSCC患者的癌旁(PCA:距离肿瘤不小于2厘米的邻近正常组织)、癌(CA)和淋巴结转移(LNM)组织细胞,以及鼻咽癌(NPC)放疗后二次原发OSCC(SPOSCC)患者的PCA和CA组织细胞。对细胞类型及其基本功能进行了分类。然后对细胞类型的同源性和异质性进行了比较,确定了进化的保守性和异质性。通过免疫组化来验证细胞集群的制造者和新基因的表达水平。研究结果我们绘制了 OSCC 的单细胞转录组图谱,其中包括 16 个 PCA 细胞群、17 个 CA 细胞群、14 个左侧 LNM 细胞群和 14 个右侧 LNM 细胞群。我们还发现了两种新型细胞,包括CD1C-CD141-树突状细胞和CD1C+_B树突状细胞。大多数非癌细胞是免疫细胞,其中有两个不同的 T 淋巴细胞群、B 淋巴细胞群、CD1C-CD141-树突状细胞+ 群和 CD1C+_B 树突状细胞群。我们还将鼻咽癌放疗后的 SPOSCC 细胞分为 15 个群组。使用免疫组化方法确定 IL1RN 和 C15orf48 作为新标记物的上调表达水平,有助于对包括鼻咽癌放疗后 SPOSCC 在内的 OSCC 进行正确分类,并预测其预后。结论研究结果以单细胞基因组的分辨率为 OSCC 和鼻咽癌放疗后 SPOSCC 的 LNM 细胞群的功能状态和异质性提供了前所未有的宝贵视角。此外,该转录组图谱还发现了口腔中的新细胞类型以及新型肿瘤细胞特异性标记物/癌基因。
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