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Li J, Han Y, Zhao N, Lv L, Ma P, Zhang Y, Li M, Sun H, Deng J, Zhang Y. Identification of immune- and oxidative stress-related signature genes as potential targets for mRNA vaccines for pancreatic cancer patients. Medicine (Baltimore) 2024; 103:e38666. [PMID: 38968513 PMCID: PMC11224846 DOI: 10.1097/md.0000000000038666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 05/31/2024] [Indexed: 07/07/2024] Open
Abstract
Adenocarcinoma of the pancreas (PAAD) is one of the deadliest malignant tumors, and messenger ribonucleic acid vaccines, which constitute the latest generation of vaccine technology, are expected to lead to new ideas for the treatment of pancreatic cancer. The Cancer Genome Atlas-PAAD and Genotype-Tissue Expression data were merged and analyzed. Weighted gene coexpression network analysis was used to identify gene modules associated with tumor mutational burden among the genes related to both immunity and oxidative stress. Differentially expressed immune-related oxidative stress genes were screened via univariate Cox regression analysis, and these genes were analyzed via nonnegative matrix factorization. After immune infiltration analysis, least absolute shrinkage and selection operator regression combined with Cox regression was used to construct the model, and the usefulness of the model was predicted based on the receiver operating characteristic curve and decision curve analysis curves after model construction. Finally, metabolic pathway enrichment was analyzed using gene set enrichment analysis combined with Kyoto Encyclopedia of Genes and Genomes and gene ontology biological process analyses. This model consisting of the ERAP2, mesenchymal-epithelial transition factor (MET), CXCL9, and angiotensinogen (AGT) genes can be used to help predict the prognosis of pancreatic cancer patients more accurately than existing models. ERAP2 is involved in immune activation and is important in cancer immune evasion. MET binds to hepatocyte growth factor, leading to the dimerization and phosphorylation of c-MET. This activates various signaling pathways, including MAPK and PI3K, to regulate the proliferation, invasion, and migration of cancer cells. CXCL9 overexpression is associated with a poor patient prognosis and reduces the number of CD8 + cytotoxic T lymphocytes in the PAAD tumor microenvironment. AGT is cleaved by the renin enzyme to produce angiotensin 1, and AGT-converting enzyme cleaves angiotensin 1 to produce angiotensin 2. Exposure to AGT-converting enzyme inhibitors after pancreatic cancer diagnosis is associated with improved survival. The 4 genes identified in the present study - ERAP2, MET, CXCL9, and AGT - are expected to serve as targets for messenger ribonucleic acid vaccine development and need to be further investigated in depth.
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Affiliation(s)
- Jiaxu Li
- Institute of Health Service and Transfusion Medicine, Beijing, PR China
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing, PR China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin, PR China
| | - Yongjiao Han
- Institute of Health Service and Transfusion Medicine, Beijing, PR China
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing, PR China
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin, PR China
| | - Ning Zhao
- Institute of Health Service and Transfusion Medicine, Beijing, PR China
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing, PR China
| | - Liping Lv
- Institute of Health Service and Transfusion Medicine, Beijing, PR China
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing, PR China
| | - Ping Ma
- Institute of Health Service and Transfusion Medicine, Beijing, PR China
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing, PR China
| | - Yangyang Zhang
- Institute of Health Service and Transfusion Medicine, Beijing, PR China
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing, PR China
| | - Mingyuan Li
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin, PR China
| | - Hua Sun
- College of Biotechnology, Tianjin University of Science & Technology, Tianjin, PR China
| | - Jiang Deng
- Institute of Health Service and Transfusion Medicine, Beijing, PR China
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing, PR China
| | - Yanyu Zhang
- Institute of Health Service and Transfusion Medicine, Beijing, PR China
- Beijing Key Laboratory of Blood Safety and Supply Technologies, Beijing, PR China
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Ou H, Ye X, Huang H, Cheng H. Constructing a screening model to obtain the functional herbs for the treatment of active ulcerative colitis based on herb-compound-target network and immuno-infiltration analysis. NAUNYN-SCHMIEDEBERG'S ARCHIVES OF PHARMACOLOGY 2024; 397:4693-4711. [PMID: 38117365 PMCID: PMC11166790 DOI: 10.1007/s00210-023-02900-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Accepted: 12/09/2023] [Indexed: 12/21/2023]
Abstract
The therapeutic effect of most traditional Chinese medicines (TCM) on ulcerative colitis is unclear, The objective of this study was to develop a core herbal screening model aimed at facilitating the transition from active ulcerative colitis (UC) to inactive. We obtained the gene expression dataset GSE75214 for UC from the GEO database and analysed the differentially expressed genes (DEGs) between active and inactive groups. Gene modules associated with the active group were screened using WGCNA, and immune-related genes (IRGs) were obtained from the ImmPort database. The TCMSP database was utilized to acquire the herb-molecule-target network and identify the herb-related targets (HRT). We performed intersection operations on HRTs, DEGs, IRGs, and module genes to identify candidate genes and conducted enrichment analyses. Subsequently, three machine learning algorithms (SVM-REF analysis, Random Forest analysis, and LASSO regression analysis) were employed to refine the hubgene from the candidate genes. Based on the hub genes identified in this study, we conducted compound and herb matching and further screened herbs related to abdominal pain and blood in stool using the Symmap database.Besides, the stability between molecules and targets were assessed using molecular docking and molecular dynamic simulation methods. An intersection operation was performed on HRT, DEGs, IRGs, and module genes, leading to the identification of 23 candidate genes. Utilizing three algorithms (RandomForest, SVM-REF, and LASSO) for analyzing the candidate genes and identifying the intersection, we identified five core targets (CXCL2, DUOX2, LYZ, MMP9, and AGT) and 243 associated herbs. Hedysarum Multijugum Maxim. (Huangqi), Sophorae Flavescentis Radix (Kushen), Cotyledon Fimbriata Turcz. (Wasong), and Granati Pericarpium (Shiliupi) were found to be capable of relieving abdominal pain and hematochezia during active UC. Molecular docking demonstrated that the compounds of the four aforementioned herbs showed positive docking activity with their core targets. The results of molecular dynamic simulations indicated that well-docked active molecules had a more stable structure when bound to their target complexes. The study has shed light on the potential of TCMs in treating active UC from an immunomodulatory perspective, consequently, 5 core targets and 4 key herbs has been identified. These findings can provide a theoretical basis for subsequent management and treatment of active UC with TCM, as well as offer original ideas for further research and development of innovative drugs for alleviating UC.
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Affiliation(s)
- Haiya Ou
- Shenzhen Bao'an Traditional Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Xiaopeng Ye
- Shenzhen Bao'an Traditional Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Hongshu Huang
- Shenzhen Bao'an Traditional Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen, China
| | - Honghui Cheng
- Shenzhen Bao'an Traditional Chinese Medicine Hospital, Guangzhou University of Chinese Medicine, Shenzhen, China.
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Ruz-Maldonado I, Gonzalez JT, Zhang H, Sun J, Bort A, Kabir I, Kibbey RG, Suárez Y, Greif DM, Fernández-Hernando C. Heterogeneity of hepatocyte dynamics restores liver architecture after chemical, physical or viral damage. Nat Commun 2024; 15:1247. [PMID: 38341404 PMCID: PMC10858916 DOI: 10.1038/s41467-024-45439-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 01/24/2024] [Indexed: 02/12/2024] Open
Abstract
Midlobular hepatocytes are proposed to be the most plastic hepatic cell, providing a reservoir for hepatocyte proliferation during homeostasis and regeneration. However, other mechanisms beyond hyperplasia have been little explored and the contribution of other hepatocyte subpopulations to regeneration has been controversial. Thus, re-examining hepatocyte dynamics during regeneration is critical for cell therapy and treatment of liver diseases. Using a mouse model of hepatocyte- and non-hepatocyte- multicolor lineage tracing, we demonstrate that midlobular hepatocytes also undergo hypertrophy in response to chemical, physical, and viral insults. Our study shows that this subpopulation also combats liver impairment after infection with coronavirus. Furthermore, we demonstrate that pericentral hepatocytes also expand in number and size during the repair process and Galectin-9-CD44 pathway may be critical for driving these processes. Notably, we also identified that transdifferentiation and cell fusion during regeneration after severe injury contribute to recover hepatic function.
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Affiliation(s)
- Inmaculada Ruz-Maldonado
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT, 06520, USA
- Yale Center of Molecular and Systems Metabolism, Yale University School of Medicine, New Haven, CT, 06520, USA
- Departments of Internal Medicine (Endocrinology) and Cellular & Molecular Physiology, Yale University, New Haven, CT, USA
- Department of Pathology, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - John T Gonzalez
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT, 06520, USA
- Yale Center of Molecular and Systems Metabolism, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Hanming Zhang
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT, 06520, USA
- Yale Center of Molecular and Systems Metabolism, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Pathology, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Jonathan Sun
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT, 06520, USA
- Yale Center of Molecular and Systems Metabolism, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Pathology, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Alicia Bort
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT, 06520, USA
- Yale Center of Molecular and Systems Metabolism, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Pathology, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Inamul Kabir
- Yale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, 06511, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, 06511, USA
| | - Richard G Kibbey
- Yale Center of Molecular and Systems Metabolism, Yale University School of Medicine, New Haven, CT, 06520, USA
- Departments of Internal Medicine (Endocrinology) and Cellular & Molecular Physiology, Yale University, New Haven, CT, USA
| | - Yajaira Suárez
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT, 06520, USA
- Yale Center of Molecular and Systems Metabolism, Yale University School of Medicine, New Haven, CT, 06520, USA
- Department of Pathology, Yale University School of Medicine, New Haven, CT, 06520, USA
| | - Daniel M Greif
- Yale Cardiovascular Research Center, Section of Cardiovascular Medicine, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, 06511, USA
- Department of Genetics, Yale University School of Medicine, New Haven, CT, 06511, USA
| | - Carlos Fernández-Hernando
- Vascular Biology and Therapeutics Program, Yale University School of Medicine, New Haven, CT, 06520, USA.
- Department of Comparative Medicine, Yale University School of Medicine, New Haven, CT, 06520, USA.
- Yale Center of Molecular and Systems Metabolism, Yale University School of Medicine, New Haven, CT, 06520, USA.
- Department of Pathology, Yale University School of Medicine, New Haven, CT, 06520, USA.
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Yuan T, Zhang S, He S, Ma Y, Chen J, Gu J. Bacterial lipopolysaccharide related genes signature as potential biomarker for prognosis and immune treatment in gastric cancer. Sci Rep 2023; 13:15916. [PMID: 37741901 PMCID: PMC10517958 DOI: 10.1038/s41598-023-43223-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 09/21/2023] [Indexed: 09/25/2023] Open
Abstract
The composition of microbial microenvironment is an important factor affecting the development of tumor diseases. However, due to the limitations of current technological levels, we are still unable to fully study and elucidate the depth and breadth of the impact of microorganisms on tumors, especially whether microorganisms have an impact on cancer. Therefore, the purpose of this study is to conduct in-depth research on the role and mechanism of prostate microbiome in gastric cancer (GC) based on the related genes of bacterial lipopolysaccharide (LPS) by using bioinformatics methods. Through comparison in the Toxin Genomics Database (CTD), we can find and screen out the bacterial LPS related genes. In the study, Venn plots and lasso analysis were used to obtain differentially expressed LPS related hub genes (LRHG). Afterwards, in order to establish a prognostic risk score model and column chart in LRHG features, we used univariate and multivariate Cox regression analysis for modeling and composition. In addition, we also conducted in-depth research on the clinical role of immunotherapy with TMB, MSI, KRAS mutants, and TIDE scores. We screened 9 LRHGs in the database. We constructed a prognostic risk score and column chart based on LRHG, indicating that low risk scores have a protective effect on patients. We particularly found that low risk scores are beneficial for immunotherapy through TIDE score evaluation. Based on LPS related hub genes, we established a LRHG signature, which can help predict immunotherapy and prognosis for GC patients. Bacterial lipopolysaccharide related genes can also be biomarkers to predict progression free survival in GC patients.
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Affiliation(s)
- Tianyi Yuan
- Nantong Integrated Traditional Chinese and Western Medicine Hospital, Nantong, Jiangsu, China
| | - Siming Zhang
- Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China
| | - Songnian He
- Nantong Integrated Traditional Chinese and Western Medicine Hospital, Nantong, Jiangsu, China
| | - Yijie Ma
- Nantong Integrated Traditional Chinese and Western Medicine Hospital, Nantong, Jiangsu, China
| | - Jianhong Chen
- Affiliated Tumor Hospital of Nantong University, Nantong, Jiangsu, China.
| | - Jue Gu
- Affiliated Hospital of Nantong University, Nantong, China.
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Vlajic K, Pennington Kluger H, Bie W, Merrill BJ, Nonn L, Kajdacsy-Balla A, Tyner AL. Appearance of tuft cells during prostate cancer progression. Oncogene 2023; 42:2374-2385. [PMID: 37386128 PMCID: PMC10374444 DOI: 10.1038/s41388-023-02743-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2023] [Revised: 05/19/2023] [Accepted: 06/05/2023] [Indexed: 07/01/2023]
Abstract
Tuft cells are chemosensory epithelial cells that increase in number following infection or injury to robustly activate the innate immune response to alleviate or promote disease. Recent studies of castration resistant prostate cancer and its subtype, neuroendocrine prostate cancer, revealed Pou2f3+ populations in mouse models. The transcription factor Pou2f3 is a master regulator of the tuft cell lineage. We show that tuft cells are upregulated early during prostate cancer development, and their numbers increase with progression. Cancer-associated tuft cells in the mouse prostate express DCLK1, COX1, COX2, while human tuft cells express COX1. Mouse and human tuft cells exhibit strong activation of signaling pathways including EGFR and SRC-family kinases. While DCLK1 is a mouse tuft cell marker, it is not present in human prostate tuft cells. Tuft cells that appear in mouse models of prostate cancer display genotype-specific tuft cell gene expression signatures. Using bioinformatic analysis tools and publicly available datasets, we characterized prostate tuft cells in aggressive disease and highlighted differences between tuft cell populations. Our findings indicate that tuft cells contribute to the prostate cancer microenvironment and may promote development of more advanced disease. Further research is needed to understand contributions of tuft cells to prostate cancer progression.
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Affiliation(s)
- Katarina Vlajic
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL, 60607, USA
| | - Hannah Pennington Kluger
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL, 60607, USA
| | - Wenjun Bie
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL, 60607, USA
| | - Bradley J Merrill
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL, 60607, USA
- The University of Illinois Cancer Center, Chicago, IL, 60607, USA
| | - Larisa Nonn
- The University of Illinois Cancer Center, Chicago, IL, 60607, USA
- The Department of Pathology, at the University of Illinois at Chicago, Chicago, IL, 60607, USA
| | - Andre Kajdacsy-Balla
- The University of Illinois Cancer Center, Chicago, IL, 60607, USA
- The Department of Pathology, at the University of Illinois at Chicago, Chicago, IL, 60607, USA
| | - Angela L Tyner
- Department of Biochemistry and Molecular Genetics, University of Illinois at Chicago, Chicago, IL, 60607, USA.
- The University of Illinois Cancer Center, Chicago, IL, 60607, USA.
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