1
|
Wen S, Mo S, Zhou J, Lv Y, Khazaie K, Yu G. Editorial: Single-cell and spatial-omics in delineating immune-related diseases. Front Cell Dev Biol 2024; 12:1365242. [PMID: 38298217 PMCID: PMC10829097 DOI: 10.3389/fcell.2024.1365242] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Accepted: 01/09/2024] [Indexed: 02/02/2024] Open
Affiliation(s)
- Shaodi Wen
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
- Department of Oncology, The Affiliated Cancer Hospital of Nanjing Medical University & Jiangsu Cancer Hospital, Nanjing, China
| | - Steven Mo
- Department of Basic Science, YuanDong International Academy of Life Sciences, Hong Kong, Hong Kong SAR, China
| | - Jin Zhou
- Key Laboratory of Spatiotemporal Single-Cell Technologies and Translational Medicine, Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, China
- Department of Endocrinology, Yantai Yuhuangding Hospital of Qingdao University, Yantai, Shandong, China
| | - Yufeng Lv
- Department of Oncology, Foresea Life Insurance Guangxi Hospital, Nanning, China
| | - Khashayarsha Khazaie
- Departments of Immunology and Cancer Biology, Mayo Clinic, Scottsdale, AZ, United States
| | - Guangchuang Yu
- Department of Bioinformatics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, China
| |
Collapse
|
2
|
Song Y, Wang Y, Geng X, Wang X, He H, Qian Y, Dong Y, Fan Z, Chen S, Wen W, Wang H. Novel biomarker genes for the prediction of post-hepatectomy survival of patients with NAFLD-related hepatocellular carcinoma. Cancer Cell Int 2023; 23:269. [PMID: 37950277 PMCID: PMC10638756 DOI: 10.1186/s12935-023-03106-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Accepted: 10/24/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND The incidence and prevalence of nonalcoholic fatty liver disease related hepatocellular carcinoma (NAFLD-HCC) are rapidly increasing worldwide. This study aimed to identify biomarker genes for prognostic prediction model of NAFLD-HCC hepatectomy by integrating text-mining, clinical follow-up information, transcriptomic data and experimental validation. METHODS The tumor and adjacent normal liver samples collected from 13 NAFLD-HCC and 12 HBV-HCC patients were sequenced using RNA-Seq. A novel text-mining strategy, explainable gene ontology fingerprint approach, was utilized to screen NAFLD-HCC featured gene sets and cell types, and the results were validated through a series of lab experiments. A risk score calculated by the multivariate Cox regression model using discovered key genes was established and evaluated based on 47 patients' follow-up information. RESULTS Differentially expressed genes associated with NAFLD-HCC specific tumor microenvironment were screened, of which FABP4 and VWF were featured by previous reports. A risk prediction model consisting of FABP4, VWF, gender and TNM stage were then established based on 47 samples. The model showed that overall survival in the high-risk score group was lower compared with that in the low-risk score group (p = 0.0095). CONCLUSIONS This study provided the landscape of NAFLD-HCC transcriptome, and elucidated that our model could predict hepatectomy prognosis with high accuracy.
Collapse
Affiliation(s)
- Yuting Song
- Model Animal Research Center, Nanjing University, Nanjing, 210008, China
- National Center for Liver Cancer, Naval Medical University, Shanghai, 201805, China
- International Cooperation Laboratory on Signal Transduction, Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China
| | - Ying Wang
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, China
| | - Xin Geng
- National Center for Liver Cancer, Naval Medical University, Shanghai, 201805, China
- International Cooperation Laboratory on Signal Transduction, Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China
| | - Xianming Wang
- National Center for Liver Cancer, Naval Medical University, Shanghai, 201805, China
- International Cooperation Laboratory on Signal Transduction, Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China
| | - Huisi He
- National Center for Liver Cancer, Naval Medical University, Shanghai, 201805, China
- International Cooperation Laboratory on Signal Transduction, Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China
| | - Youwen Qian
- National Center for Liver Cancer, Naval Medical University, Shanghai, 201805, China
- International Cooperation Laboratory on Signal Transduction, Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China
| | - Yaping Dong
- National Center for Liver Cancer, Naval Medical University, Shanghai, 201805, China
- International Cooperation Laboratory on Signal Transduction, Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China
| | - Zhecai Fan
- National Center for Liver Cancer, Naval Medical University, Shanghai, 201805, China
- International Cooperation Laboratory on Signal Transduction, Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China
| | - Shuzhen Chen
- National Center for Liver Cancer, Naval Medical University, Shanghai, 201805, China
- International Cooperation Laboratory on Signal Transduction, Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China
| | - Wen Wen
- National Center for Liver Cancer, Naval Medical University, Shanghai, 201805, China.
- International Cooperation Laboratory on Signal Transduction, Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China.
- Department of Laboratory Medicine, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, China.
| | - Hongyang Wang
- Model Animal Research Center, Nanjing University, Nanjing, 210008, China.
- National Center for Liver Cancer, Naval Medical University, Shanghai, 201805, China.
- International Cooperation Laboratory on Signal Transduction, Third Affiliated Hospital of Naval Medical University, Shanghai, 200438, China.
| |
Collapse
|
3
|
Elhence A, Shalimar. Von Willebrand Factor as a Biomarker for Liver Disease - An Update. J Clin Exp Hepatol 2023; 13:1047-1060. [PMID: 37975050 PMCID: PMC10643510 DOI: 10.1016/j.jceh.2023.05.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Accepted: 05/29/2023] [Indexed: 11/19/2023] Open
Abstract
The von Willebrand factor (vWF) is best known for its role in the hemostatic pathway, aiding platelet adhesion and aggregation, as well as circulating along with coagulation factor VIII, prolonging its half-life. However, vWF is more than a hemostatic protein and is a marker of endothelial dysfunction in patients with cirrhosis. The levels of vWF increase progressively as cirrhosis progresses. Despite its qualitative defects, it can support and carry out its hemostatic role and contribute to a pro-coagulant disbalance. Moreover, it has been shown to be a good noninvasive marker for predicting clinically significant portal hypertension (CSPH). The vWF has been shown to predict decompensation and mortality among cirrhosis patients independently of the stage of liver disease and severity of portal hypertension. Increased vWF levels in the setting of endothelial injury predict bacterial translocation and systemic inflammation. The vWF-to-thrombocyte ratio (VITRO) score adds to the diagnostic ability of vWF alone in detecting CSPH non-invasively. Not only have vWF levels been shown to help predict the risk of hepatocellular carcinoma (HCC) among cirrhosis patients, but they also predict the risk of complications post-resection for HCC and response to systemic therapies. vWF-induced portal microthrombi have been purported to contribute to the pathogenesis of acute liver failure progression as well as non-cirrhotic portal hypertension. The prospect of modulation of vWF levels using drugs such as non-selective beta-blockers, statins, anticoagulants, and non-absorbable antibiotics and its use as a predictive biomarker for the response to these drugs needs to be explored.
Collapse
Affiliation(s)
- Anshuman Elhence
- Department of Gastroenterology, National Cancer Institute- All India Institute of Medical Sciences, New Delhi, India
| | - Shalimar
- Department of Gastroenterology and Human Nutrition, All India Institute of Medical Sciences, New Delhi, India
| |
Collapse
|
4
|
Gao J, Li Z, Lu Q, Zhong J, Pan L, Feng C, Tang S, Wang X, Tao Y, Lin J, Wang Q. Single-cell RNA sequencing reveals cell subpopulations in the tumor microenvironment contributing to hepatocellular carcinoma. Front Cell Dev Biol 2023; 11:1194199. [PMID: 37333982 PMCID: PMC10272598 DOI: 10.3389/fcell.2023.1194199] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Accepted: 05/25/2023] [Indexed: 06/20/2023] Open
Abstract
Background: Hepatocellular carcinoma (HCC) is among the deadliest cancers worldwide, and advanced HCC is difficult to treat. Identifying specific cell subpopulations in the tumor microenvironment and exploring interactions between the cells and their environment are crucial for understanding the development, prognosis, and treatment of tumors. Methods: In this study, we constructed a tumor ecological landscape of 14 patients with HCC from 43 tumor tissue samples and 14 adjacent control samples. We used bioinformatics analysis to reveal cell subpopulations with potentially specific functions in the tumor microenvironment and to explore the interactions between tumor cells and the tumor microenvironment. Results: Immune cell infiltration was evident in the tumor tissues, and BTG1 + RGS1 + central memory T cells (Tcms) interact with tumor cells through CCL5-SDC4/1 axis. HSPA1B may be associated with remodeling of the tumor ecological niche in HCC. Cancer-associated fibroblasts (CAFs) and macrophages (TAMs) were closely associated with tumor cells. APOC1 + SPP1 + TAM secretes SPP1, which binds to ITGF1 secreted by CAFs to remodel the tumor microenvironment. More interestingly, FAP + CAF interacts with naïve T cells via the CXCL12-CXCR4 axis, which may lead to resistance to immune checkpoint inhibitor therapy. Conclusion: Our study suggests the presence of tumor cells with drug-resistant potential in the HCC microenvironment. Among non-tumor cells, high NDUFA4L2 expression in fibroblasts may promote tumor progression, while high HSPA1B expression in central memory T cells may exert anti-tumor effects. In addition, the CCL5-SDC4/1 interaction between BTG1 + RGS1 + Tcms and tumor cells may promote tumor progression. Focusing on the roles of CAFs and TAMs, which are closely related to tumor cells, in tumors would be beneficial to the progress of systemic therapy research.
Collapse
Affiliation(s)
- Jiamin Gao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Laboratory of Infectious Disease, The Fourth People’s Hospital of Nanning, Nanning, China
| | - Zhijian Li
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Department of Clinical Laboratory, The First Affiliated Hospital of Guangxi Medical University, Nanning, China
| | - Qinchen Lu
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Jialing Zhong
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Lixin Pan
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Chao Feng
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Shaomei Tang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Xi Wang
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Yuting Tao
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| | - Jianyan Lin
- Administrative Office, The First People’s Hospital of Nanning, Nanning, China
| | - Qiuyan Wang
- Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Guangxi Medical University, Nanning, China
- Center for Genomic and Personalized Medicine, Guangxi Medical University, Nanning, China
- Guangxi Key Laboratory for Genomic and Personalized Medicine, Guangxi Collaborative Innovation Center for Genomic and Personalized Medicine, Nanning, China
| |
Collapse
|
5
|
Zhou Q, Wei S, Wang H, Li Y, Fan S, Cao Y, Wang C. T cell-derived exosomes in tumor immune modulation and immunotherapy. Front Immunol 2023; 14:1130033. [PMID: 37153615 PMCID: PMC10157026 DOI: 10.3389/fimmu.2023.1130033] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Accepted: 03/27/2023] [Indexed: 05/09/2023] Open
Abstract
Exosomes are nanoscale vesicles secreted by most cells and have a phospholipid bilayer structure. Exosomes contain DNA, small RNA, proteins, and other substances that can carry proteins and nucleic acids and participate in communication between cells. T cells are an indispensable part of adaptive immunity, and the functions of T cell-derived exosomes have been widely studied. In the more than three decades since the discovery of exosomes, several studies have revealed that T cell-derived exosomes play a novel role in cell-to-cell signaling, especially in the tumor immune response. In this review, we discuss the function of exosomes derived from different T cell subsets, explore applications in tumor immunotherapy, and consider the associated challenges.
Collapse
Affiliation(s)
- Qiujun Zhou
- Department of First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Shenyu Wei
- Department of Hepato-Pancreato-Biliary Surgery, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Hui Wang
- Department of First Clinical Medical College, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yuanyuan Li
- The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China
| | - Shasha Fan
- Center for Plastic & Reconstructive Surgery, Department of Dermatology, Zhejiang Provincial People’s Hospital (Affiliated People’s Hospital, Hangzhou Medical College), Hangzhou, Zhejiang, China
| | - Yi Cao
- The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China
| | - Chenglei Wang
- The First Affiliated Hospital of Zhejiang Chinese Medical University (Zhejiang Provincial Hospital of Chinese Medicine), Hangzhou, Zhejiang, China
- *Correspondence: Chenglei Wang,
| |
Collapse
|