1. Academic Validation
  2. Integrating single-cell and spatial transcriptomics to elucidate the crosstalk between cancer-associated fibroblasts and cancer cells in hepatocellular carcinoma with spleen-deficiency syndrome

Integrating single-cell and spatial transcriptomics to elucidate the crosstalk between cancer-associated fibroblasts and cancer cells in hepatocellular carcinoma with spleen-deficiency syndrome

  • J Tradit Complement Med. 2023 Nov 22;14(3):321-334. doi: 10.1016/j.jtcme.2023.11.008.
Qiuxia Chen 1 Jin Luo 1 Jiahui Liu 1 He Yu 1 Meiling Zhou 1 Ling Yu 2 Yan Chen 3 Shijun Zhang 1 Zhuomao Mo 4
Affiliations

Affiliations

  • 1 Department of Traditional Chinese Medicine, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, 510080, China.
  • 2 Department of Critical Care Medicine, The Second Clinical College to Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.
  • 3 Department of Traditional Chinese Medicine, The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong Province, 510630, China.
  • 4 Liangzhu Laboratory, Zhejiang University Medical Center, Hangzhou, Zhejiang Province, 311113, China.
Abstract

Background and aim: Most patients with hepatocellular carcinoma (HCC) in China have been diagnosed with spleen deficiency syndrome (SDS), which accelerates the progression of HCC by disrupting the tumor microenvironment homeostasis. This study aimed to investigate the intercellular crosstalk in HCC with SDS.

Experimental procedure: An HCC-SDS mouse model was established using orthotopic HCC transplantation based on reserpine-induced SDS. Single-cell data analysis and Cancer cell prediction were conducted using Seurat and CopyKAT package, respectively. Intercellular interactions were explored using CellPhoneDB and CellChat and subsequently validated using co-culture assays, ELISA and histological staining. We performed pathway activity analysis using gene set variation analysis and the Seurat package. The extracellular matrix (ECM) remodeling was assessed using a gel contraction assay, atomic force microscopy, and Sirius red staining. The deconvolution of the spatial transcriptomics data using the "CARD" package based on single-cell data.

Results and conclusion: We successfully established the HCC-SDS mouse model. Twenty-nine clusters were identified. The interactions between Cancer cells and cancer-associated fibroblasts (CAFs) were significantly enhanced via platelet-derived growth factor (PDGF) signaling in HCC-SDS. CAFs recruited in HCC-SDS lead to ECM remodeling and the activation of TGF-β signaling pathway. Deconvolution of the spatial transcriptome data revealed that CAFs physically surround Cancer cells in HCC-SDS. This study reveals that the crosstalk of CAFs-cancer cells is crucial for the tumor-promoting effect of SDS. CAFs recruited by HCC via PDGFA may lead to ECM remodeling through activation of the TGF-β pathway, thereby forming a physical barrier to block immune cell infiltration under SDS.

Keywords

Cancer-associated fibroblasts; Cell crosstalk; Hepatocellular carcinoma; Single-cell RNA sequencing; Spatial transcriptomics; Spleen-deficiency syndrome; Traditional Chinese medicine; Tumor microenvironment.

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