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Wu G, Li F, Guo D, Xi K, Zheng D, Huang R, Wu X, Li A, Liu X. Comprehensive evaluation of genes related to basement membrane in hepatocellular carcinoma. Aging (Albany NY) 2024; 16:10108-10131. [PMID: 38870261 PMCID: PMC11210257 DOI: 10.18632/aging.205923] [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: 10/25/2023] [Accepted: 05/03/2024] [Indexed: 06/15/2024]
Abstract
In all mammals, the basement membrane serves as a pivotal extracellular matrix. Hepatocellular carcinoma (HCC) is a challenge among numerous cancer types shaped by basement membrane-related genes (BMGs). Our research established an innovative prognostic model that is highly accurate in its prediction of HCC prognoses and immunotherapy efficacy to summarize the crucial role of BMGs in HCC. We obtained HCC transcriptome analysis data and corresponding clinical data from The Cancer Genome Atlas (TCGA). To augment our dataset, we incorporated 222 differentially expressed BMGs identified from relevant literature. A weighted gene coexpression network analysis (WGCNA) of 10158 genes demonstrated four modules that were connected to HCC. Additionally, 66 genes that are found at the intersection of BMGs and HCC-related genes were designated as hub HCC-related BMGs. MMP1, ITGA2, P3H1, and CTSA comprise the novel model that was engineered using univariate and multivariate Cox regression analysis. Furthermore, the International Cancer Genome Consortium (ICGC) and Gene Expression Omnibus (GEO) datasets encouraged the BMs model's validity. The overall survival (OS) of individuals with HCC may be precisely predicted in the TCGA and ICGC databases utilizing the BMs model. A nomogram based on the model was created in the TCGA database at similar time, and displayed a favorable discriminating ability for HCC. Particularly, when compared to the patients at an elevated risk, the patients with a low-risk profile presented different tumor microenvironment (TME) and hallmark pathways. Moreover, we discovered that a lower risk score of HCC patients would display a greater response to immunotherapy. Finally, quantitative real-time PCR (qRT-PCR) experiments were used to verify the expression patterns of BMs model. In summary, BMs model demonstrated efficacy in prognosticating the survival probability of HCC patients and their immunotherapeutic responsiveness.
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Affiliation(s)
- Guojing Wu
- Southern Medical University Hospital of Integrated Traditional Chinese and Western Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Fei Li
- Southern Medical University Hospital of Integrated Traditional Chinese and Western Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Danyan Guo
- Southern Medical University Hospital of Integrated Traditional Chinese and Western Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Kaiwen Xi
- Southern Medical University Hospital of Integrated Traditional Chinese and Western Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Dayong Zheng
- Southern Medical University Hospital of Integrated Traditional Chinese and Western Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Ruichao Huang
- Heshan Hospital of Traditional Chinese Medicine, Jiangmen 529000, China
| | - Xiuqiong Wu
- Southern Medical University Hospital of Integrated Traditional Chinese and Western Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Aimin Li
- Southern Medical University Hospital of Integrated Traditional Chinese and Western Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
| | - Xinhui Liu
- Southern Medical University Hospital of Integrated Traditional Chinese and Western Medicine, Southern Medical University, Guangzhou 510315, China
- Cancer Center, Southern Medical University, Guangzhou 510315, China
- Heshan Hospital of Traditional Chinese Medicine, Jiangmen 529000, China
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Port H, He Y, Karsdal MA, Madsen EA, Bay-Jensen AC, Willumsen N, Holm Nielsen S. Type IX Collagen Turnover Is Altered in Patients with Solid Tumors. Cancers (Basel) 2024; 16:2035. [PMID: 38893155 PMCID: PMC11171364 DOI: 10.3390/cancers16112035] [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: 04/29/2024] [Revised: 05/17/2024] [Accepted: 05/23/2024] [Indexed: 06/21/2024] Open
Abstract
The fibrotic tumor microenvironment, characterized by its intricate extracellular matrix (ECM), consists of many collagens with diverse functions and unexplored biomarker potential. Type IX collagen is a member of the low-abundance collagen family known as the fibril-associated collagen with interrupted triple helices (FACITs) and is found mostly in cartilage. Its role in the tumor microenvironment remains unexplored. To investigate the biomarker potential of a type IX collagen in cancer, an immuno-assay was developed (PRO-C9) and technical assay performance was evaluated for the assessment of serum. PRO-C9 levels were measured in serum samples from 259 patients with various solid tumor types compared to serum levels from 73 healthy controls. PRO-C9 levels were significantly elevated in patients with solid tumors including bladder, breast, colorectal, gastric, head and neck, lung, melanoma, ovarian, pancreatic, and renal compared to levels in healthy controls (p < 0.05-p < 0.0001). PRO-C9 could discriminate between patients with cancer and healthy controls, with the area under the receiver operating characteristic values ranging from 0.58 to 0.86 (p < 0.3-p < 0.0001), indicating potential diagnostic utility. This study suggests that type IX collagen turnover is altered in patients with solid tumors and demonstrates the feasibility of using PRO-C9 as a non-invasive serum-based biomarker with relevance in multiple cancer types. Furthermore, these results underscore the potential utility of PRO-C9 to better elucidate the biology of FACITs in cancers.
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Affiliation(s)
- Helena Port
- Immunoscience, Nordic Bioscience, 2730 Herlev, Denmark; (Y.H.); (M.A.K.); (E.A.M.); (A.-C.B.-J.); (N.W.); (S.H.N.)
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Yi He
- Immunoscience, Nordic Bioscience, 2730 Herlev, Denmark; (Y.H.); (M.A.K.); (E.A.M.); (A.-C.B.-J.); (N.W.); (S.H.N.)
| | - Morten A. Karsdal
- Immunoscience, Nordic Bioscience, 2730 Herlev, Denmark; (Y.H.); (M.A.K.); (E.A.M.); (A.-C.B.-J.); (N.W.); (S.H.N.)
| | - Emilie A. Madsen
- Immunoscience, Nordic Bioscience, 2730 Herlev, Denmark; (Y.H.); (M.A.K.); (E.A.M.); (A.-C.B.-J.); (N.W.); (S.H.N.)
- Department of Biomedical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Anne-Christine Bay-Jensen
- Immunoscience, Nordic Bioscience, 2730 Herlev, Denmark; (Y.H.); (M.A.K.); (E.A.M.); (A.-C.B.-J.); (N.W.); (S.H.N.)
| | - Nicholas Willumsen
- Immunoscience, Nordic Bioscience, 2730 Herlev, Denmark; (Y.H.); (M.A.K.); (E.A.M.); (A.-C.B.-J.); (N.W.); (S.H.N.)
| | - Signe Holm Nielsen
- Immunoscience, Nordic Bioscience, 2730 Herlev, Denmark; (Y.H.); (M.A.K.); (E.A.M.); (A.-C.B.-J.); (N.W.); (S.H.N.)
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Qin D, Zhang Y, Liu F, Xu X, Jiang H, Su Z, Xia L. Spatiotemporal development and the regulatory mechanisms of cardiac resident macrophages: Contribution in cardiac development and steady state. Acta Physiol (Oxf) 2024; 240:e14088. [PMID: 38230805 DOI: 10.1111/apha.14088] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 11/13/2023] [Accepted: 01/01/2024] [Indexed: 01/18/2024]
Abstract
Cardiac resident macrophages (CRMs) are integral components of the heart and play significant roles in cardiac development, steady-state, and injury. Advances in sequencing technology have revealed that CRMs are a highly heterogeneous population, with significant differences in phenotype and function at different developmental stages and locations within the heart. In addition to research focused on diseases, recent years have witnessed a heightened interest in elucidating the involvement of CRMs in heart development and the maintenance of cardiac function. In this review, we primarily concentrated on summarizing the developmental trajectories, both spatial and temporal, of CRMs and their impact on cardiac development and steady-state. Moreover, we discuss the possible factors by which the cardiac microenvironment regulates macrophages from the perspectives of migration, proliferation, and differentiation under physiological conditions. Gaining insight into the spatiotemporal heterogeneity and regulatory mechanisms of CRMs is of paramount importance in comprehending the involvement of macrophages in cardiac development, injury, and repair, and also provides new ideas and therapeutic methods for treating heart diseases.
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Affiliation(s)
- Demeng Qin
- Institute of Hematological Disease, Jiangsu University, Zhenjiang, China
- International Genome Center, Jiangsu University, Zhenjiang, China
| | - Ying Zhang
- Department of Biochemistry and Molecular Biology, School of Medicine, Jiangsu University, Zhenjiang, China
| | - Fang Liu
- International Genome Center, Jiangsu University, Zhenjiang, China
- Institute of Medical Immunology, Jiangsu University, Zhenjiang, China
| | - Xiang Xu
- Department of Business, Yancheng Blood Center, Yancheng, China
| | - Haiqiang Jiang
- Department of Laboratory Medicine, Jiangyin Hospital of Traditional Chinese Medicine, Wuxi, China
| | - Zhaoliang Su
- International Genome Center, Jiangsu University, Zhenjiang, China
- Institute of Medical Immunology, Jiangsu University, Zhenjiang, China
| | - Lin Xia
- Institute of Hematological Disease, Jiangsu University, Zhenjiang, China
- International Genome Center, Jiangsu University, Zhenjiang, China
- Department of Laboratory Medicine, Affiliated Hospital of Jiangsu University, Zhenjiang, China
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4
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Nudelman A, Shenoy A, Allouche-Arnon H, Fisler M, Rosenhek-Goldian I, Dayan L, Abou Karam P, Porat Z, Solomonov I, Regev-Rudzki N, Bar-Shir A, Sagi I. Proteolytic Vesicles Derived from Salmonella enterica Serovar Typhimurium-Infected Macrophages: Enhancing MMP-9-Mediated Invasion and EV Accumulation. Biomedicines 2024; 12:434. [PMID: 38398037 PMCID: PMC10886541 DOI: 10.3390/biomedicines12020434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/07/2024] [Accepted: 02/08/2024] [Indexed: 02/25/2024] Open
Abstract
Proteolysis of the extracellular matrix (ECM) by matrix metalloproteinases (MMPs) plays a crucial role in the immune response to bacterial infections. Here we report the secretion of MMPs associated with proteolytic extracellular vesicles (EVs) released by macrophages in response to Salmonella enterica serovar Typhimurium infection. Specifically, we used global proteomics, in vitro, and in vivo approaches to investigate the composition and function of these proteolytic EVs. Using a model of S. Typhimurium infection in murine macrophages, we isolated and characterized a population of small EVs. Bulk proteomics analysis revealed significant changes in protein cargo of naïve and S. Typhimurium-infected macrophage-derived EVs, including the upregulation of MMP-9. The increased levels of MMP-9 observed in immune cells exposed to S. Typhimurium were found to be regulated by the toll-like receptor 4 (TLR-4)-mediated response to bacterial lipopolysaccharide. Macrophage-derived EV-associated MMP-9 enhanced the macrophage invasion through Matrigel as selective inhibition of MMP-9 reduced macrophage invasion. Systemic administration of fluorescently labeled EVs into immunocompromised mice demonstrated that EV-associated MMP activity facilitated increased accumulation of EVs in spleen and liver tissues. This study suggests that macrophages secrete proteolytic EVs to enhance invasion and ECM remodeling during bacterial infections, shedding light on an essential aspect of the immune response.
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Affiliation(s)
- Alon Nudelman
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.N.); (A.S.); (L.D.); (I.S.)
| | - Anjana Shenoy
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.N.); (A.S.); (L.D.); (I.S.)
| | - Hyla Allouche-Arnon
- Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot 7610001, Israel; (H.A.-A.); (M.F.); (A.B.-S.)
| | - Michal Fisler
- Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot 7610001, Israel; (H.A.-A.); (M.F.); (A.B.-S.)
| | - Irit Rosenhek-Goldian
- Department of Chemical Research Support, Weizmann Institute of Science, Rehovot 7610001, Israel;
| | - Lior Dayan
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.N.); (A.S.); (L.D.); (I.S.)
| | - Paula Abou Karam
- Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (P.A.K.); (N.R.-R.)
| | - Ziv Porat
- Life Sciences Core Facilities, Weizmann Institute of Science, Rehovot 7610001, Israel;
| | - Inna Solomonov
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.N.); (A.S.); (L.D.); (I.S.)
| | - Neta Regev-Rudzki
- Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (P.A.K.); (N.R.-R.)
| | - Amnon Bar-Shir
- Department of Molecular Chemistry and Materials Science, Weizmann Institute of Science, Rehovot 7610001, Israel; (H.A.-A.); (M.F.); (A.B.-S.)
| | - Irit Sagi
- Department of Immunology and Regenerative Biology, Weizmann Institute of Science, Rehovot 7610001, Israel; (A.N.); (A.S.); (L.D.); (I.S.)
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Zhou F, Liu Y, Liu D, Xie Y, Zhou X. Identification of basement membrane-related signatures for estimating prognosis, immune infiltration landscape and drug candidates in pancreatic adenocarcinoma. J Cancer 2024; 15:401-417. [PMID: 38169540 PMCID: PMC10758037 DOI: 10.7150/jca.89665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2023] [Accepted: 11/10/2023] [Indexed: 01/05/2024] Open
Abstract
Background: Pancreatic adenocarcinoma (PAAD) is a frequent digestive system cancer, which has high mortality and bad outcome. However, the role of basement membrane (BM)-related gene in assessing patient's outcome, microenvironment and treatment response remain unclear. Methods: Basement membrane (BM)-associated genes were detected by univariate and least absolute shrinkage and selection operator (LASSO) Cox regression analyses using data from the TCGA databases. A risk score system was constructed to distinguish patients in the high- and low-risk groups. Prognostic gene distribution in various immune cell forms was explored through scRNA-seq. Immune cell infiltration was assessed using CIBERSORT and ESTIMATE. The IC50 of common chemotherapeutic drugs and useful molecule compounds were evaluated. The mRNA and protein expression of important signatures were validated utilizing GEPIA and HPA databases. Results: Compared to low risk PAAD patients, PAAD patients with high risk showed a significant much worse overall survival (OS). Risk score of BM-associated genes could estimate patient outcome well, and areas under the curve (AUC) of receiver operating characteristic (ROC) survival curve were 0.76, 0.85, and 0.85 at 1-, 3-, and 5-year. Clinical impact curve (CIC) curve demonstrated the clinical importance of risk score. scRNA-seq revealed that BM-related genes were mainly distributed in malignant cells. Significant variations existed in the immune microenvironment, immune checkpoint expression and chemotherapy response between the studied groups. Furthermore, the mRNA expression levels of FAM83A, LY6D, MET, MUC16, MYEOV, and WNT7A were elevated in PAAD tissues, while the protein expression patterns of LY6D, MET, MUC16, and WNT7A were higher in tumor sample. RO-90-7501, Scriptaid, TG-101348, XMD-892, and XMD-1150 may be valuable small molecule drugs to treat PAAD. Conclusions: In conclusion, we develop a novel BM-related gene signature provide new insights and targets for the diagnosis, outcome estimation, candidate drugs and therapy management of PAAD patients.
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Affiliation(s)
- Feng Zhou
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
- Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province, China
- Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi Province, China
- Jiangxi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi Province, China
| | - Yang Liu
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
- Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province, China
- Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi Province, China
- Jiangxi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi Province, China
| | - Dingwei Liu
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
- Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province, China
- Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi Province, China
- Jiangxi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi Province, China
| | - Yong Xie
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
- Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province, China
- Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi Province, China
- Jiangxi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi Province, China
| | - Xiaojiang Zhou
- Department of Gastroenterology, Digestive disease Hospital, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China
- Gastroenterology Institute of Jiangxi Province, Nanchang, Jiangxi Province, China
- Key Laboratory of Digestive Diseases of Jiangxi Province, Nanchang, Jiangxi Province, China
- Jiangxi Clinical Research Center for Gastroenterology, Nanchang, Jiangxi Province, China
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Li X, Shan J, Chen X, Cui H, Wen G, Yu Y. Decellularized diseased tissues: current state-of-the-art and future directions. MedComm (Beijing) 2023; 4:e399. [PMID: 38020712 PMCID: PMC10661834 DOI: 10.1002/mco2.399] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Revised: 09/04/2023] [Accepted: 09/12/2023] [Indexed: 12/01/2023] Open
Abstract
Decellularized matrices derived from diseased tissues/organs have evolved in the most recent years, providing novel research perspectives for understanding disease occurrence and progression and providing accurate pseudo models for developing new disease treatments. Although decellularized matrix maintaining the native composition, ultrastructure, and biomechanical characteristics of extracellular matrix (ECM), alongside intact and perfusable vascular compartments, facilitates the construction of bioengineered organ explants in vitro and promotes angiogenesis and tissue/organ regeneration in vivo, the availability of healthy tissues and organs for the preparation of decellularized ECM materials is limited. In this paper, we review the research advancements in decellularized diseased matrices. Considering that current research focuses on the matrices derived from cancers and fibrotic organs (mainly fibrotic kidney, lungs, and liver), the pathological characterizations and the applications of these diseased matrices are mainly discussed. Additionally, a contrastive analysis between the decellularized diseased matrices and decellularized healthy matrices, along with the development in vitro 3D models, is discussed in this paper. And last, we have provided the challenges and future directions in this review. Deep and comprehensive research on decellularized diseased tissues and organs will promote in-depth exploration of source materials in tissue engineering field, thus providing new ideas for clinical transformation.
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Affiliation(s)
- Xiang Li
- Department of Orthopedic SurgeryShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Jianyang Shan
- Department of Orthopedic SurgeryShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Xin Chen
- Department of Orthopedic SurgeryShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
- College of Fisheries and Life ScienceShanghai Ocean UniversityShanghaiChina
| | - Haomin Cui
- Department of Orthopedic SurgeryShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Gen Wen
- Department of Orthopedic SurgeryShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
| | - Yaling Yu
- Department of Orthopedic SurgeryShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
- Institute of Microsurgery on ExtremitiesShanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of MedicineShanghaiChina
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Jin Z, Meng Y, Wang M, Chen D, Zhu M, Huang Y, Xiong L, Xia S, Xiong Z. Comprehensive analysis of basement membrane and immune checkpoint related lncRNA and its prognostic value in hepatocellular carcinoma via machine learning. Heliyon 2023; 9:e20462. [PMID: 37810862 PMCID: PMC10556786 DOI: 10.1016/j.heliyon.2023.e20462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 09/13/2023] [Accepted: 09/26/2023] [Indexed: 10/10/2023] Open
Abstract
Background Hepatocellular carcinoma (HCC), which is characterized by its high malignancy, generally exhibits poor response to immunotherapy. As part of the tumor microenvironment, basement membranes (BMs) are involved in tumor development and immune activities. Presently, there is no integrated analysis linking the basement membrane with immune checkpoints, especially from the perspective of lncRNA. Methods Based on transcriptome data from The Cancer Genome Atlas, BMs-related and immune checkpoint-related lncRNAs were identified. By applying univariable Cox regression and Machine learning (LASSO and SVM-RFE algorithm), a 10-lncRNA prognosis signature was constructed. The prognostic significance of this signature was assessed by survival analysis. GSEA, ssGSEA, and drug sensitivity analysis were conducted to investigate potential functional pathways, immune status, and clinical implications of guiding individual treatments in HCC. Finally, the promoting migration effect of LINC01224 was validated via in vitro experiments. Results The multiple Cox regression, receiver operating characteristic curves, and stratified survival analysis of clinical subgroups exhibited the robust prognostic ability of the lncRNA signature. Results of the GSEA and drug sensitivity analysis revealed significant differences in potential functional pathways and response to drugs between the two risk groups. In addition, the risk level of HCC patients was distinctly correlated with immune cell infiltration status. More importantly, LINC01224 was independently associated with the OS of HCC patients (P < 0.05), suppressing the expression of LINC01224 inhibited the migration of HCC cells. Conclusion This study developed a reliable signature for the prognosis of HCC based on BM and immune checkpoint related lncRNA, revealing that LINC01224 might be a prognostic biomarker for HCC associated with the progression of HCC.
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Affiliation(s)
- Ze Jin
- Department of Gastroenterology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yajun Meng
- Department of Gastroenterology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengmeng Wang
- Department of Gastroenterology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Di Chen
- Department of Gastroenterology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Mengpei Zhu
- Department of Gastroenterology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yumei Huang
- Department of Gastroenterology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lina Xiong
- Department of Gastroenterology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Shang Xia
- Department of Internal Medicine and Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan University, NO.169 Donghu Road, Wuhan, 430071, Hubei, China
| | - Zhifan Xiong
- Department of Gastroenterology, Liyuan Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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Domaingo A, Jokesch P, Schweiger A, Gschwandtner M, Gerlza T, Koch M, Midwood KS, Kungl AJ. Chemokine Binding to Tenascin-C Influences Chemokine-Induced Immune Cell Migration. Int J Mol Sci 2023; 24:14694. [PMID: 37834140 PMCID: PMC10572825 DOI: 10.3390/ijms241914694] [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: 08/31/2023] [Revised: 09/15/2023] [Accepted: 09/25/2023] [Indexed: 10/15/2023] Open
Abstract
Tenascin-C (TNC) is a complex glycoprotein of the extracellular matrix (ECM) involved in a plethora of (patho-)physiological processes, such as oncogenesis and inflammation. Since chemokines play an essential role in both disease processes, we have investigated here the binding of TNC to some of the key chemokines, namely CCL2, CCL26, CXCL8, CXCL10, and CXCL12. Thereby, a differential chemokine-TNC binding pattern was observed, with CCL26 exhibiting the highest and CCL2 the lowest affinity for TNC. Heparan sulfate (HS), another member of the ECM, proved to be a similarly high-affinity ligand of TNC, with a Kd value of 730 nM. Chemokines use glycosa-minoglycans such as HS as co-receptors to induce immune cell migration. Therefore, we assumed an influence of TNC on immune cell chemotaxis due to co-localization within the ECM. CCL26- and CCL2-induced mobilization experiments of eosinophils and monocytes, respectively, were thus performed in the presence and the absence of TNC. Pre-incubation of the immune cells with TNC resulted in a 3.5-fold increase of CCL26-induced eosinophil chemotaxis, whereas a 1.3-fold de-crease in chemotaxis was observed when monocytes were pre-incubated with CCL2. As both chemokines have similar HS binding but different TNC binding affinities, we speculate that TNC acts as an attenuator in monocyte and as an amplifier in eosinophil mobilization by impeding CCL2 from binding to HS on the one hand, and by reinforcing CCL26 to bind to HS on the other hand.
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Affiliation(s)
- Alissa Domaingo
- Institute of Pharmaceutical Sciences, Karl-Franzens-University Graz, Schubertstr. 1, 8010 Graz, Austria
| | - Philipp Jokesch
- Institute of Pharmaceutical Sciences, Karl-Franzens-University Graz, Schubertstr. 1, 8010 Graz, Austria
| | - Alexandra Schweiger
- Institute of Pharmaceutical Sciences, Karl-Franzens-University Graz, Schubertstr. 1, 8010 Graz, Austria
| | - Martha Gschwandtner
- Kennedy Institute of Rheumatology, University of Oxford, Roosevelt Drive, Oxford OX3 7FY, UK
| | - Tanja Gerlza
- Institute of Pharmaceutical Sciences, Karl-Franzens-University Graz, Schubertstr. 1, 8010 Graz, Austria
| | - Manuel Koch
- Institute for Dental Research and Oral Musculoskeletal Biology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Joseph-Stelzmann-Str. 52, 50931 Cologne, Germany
| | - Kim S. Midwood
- Kennedy Institute of Rheumatology, University of Oxford, Roosevelt Drive, Oxford OX3 7FY, UK
| | - Andreas J. Kungl
- Institute of Pharmaceutical Sciences, Karl-Franzens-University Graz, Schubertstr. 1, 8010 Graz, Austria
- Antagonis Biotherapeutics GmbH, Strasserhofweg 77a, 8045 Graz, Austria
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Li Y, Cai H, Yang J, Xie X, Pei S, Wu Y, Zhang J, Song G, Zhang J, Zhang Q, Chi H, Yang G. Decoding tumor heterogeneity in uveal melanoma: basement membrane genes as novel biomarkers and therapeutic targets revealed by multi-omics approaches for cancer immunotherapy. Front Pharmacol 2023; 14:1264345. [PMID: 37822877 PMCID: PMC10562578 DOI: 10.3389/fphar.2023.1264345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 09/15/2023] [Indexed: 10/13/2023] Open
Abstract
Background: Uveal melanoma (UVM) is a primary intraocular malignancy that poses a significant threat to patients' visual function and life. The basement membrane (BM) is critical for establishing and maintaining cell polarity, adult function, embryonic and organ morphogenesis, and many other biological processes. Some basement membrane protein genes have been proven to be prognostic biomarkers for various cancers. This research aimed to develop a novel risk assessment system based on BMRGs that would serve as a theoretical foundation for tailored and accurate treatment. Methods: We used gene expression profiles and clinical data from the TCGA-UVM cohort of 80 UVM patients as a training set. 56 UVM patients from the combined cohort of GSE84976 and GSE22138 were employed as an external validation dataset. Prognostic characteristics of basement membrane protein-related genes (BMRGs) were characterized by Lasso, stepwise multifactorial Cox. Multivariate analysis revealed BMRGs to be independent predictors of UVM. The TISCH database probes the crosstalk of BMEGs in the tumor microenvironment at the single-cell level. Finally, we investigated the function of ITGA5 in UVM using multiple experimental techniques, including CCK8, transwell, wound healing assay, and colony formation assay. Results: There are three genes in the prognostic risk model (ADAMTS10, ADAMTS14, and ITGA5). After validation, we determined that the model is quite reliable and accurately forecasts the prognosis of UVM patients. Immunotherapy is more likely to be beneficial for UVM patients in the high-risk group, whereas the survival advantage may be greater for UVM patients in the low-risk group. Knockdown of ITGA5 expression was shown to inhibit the proliferation, migration, and invasive ability of UVM cells in vitro experiments. Conclusion: The 3-BMRGs feature model we constructed has excellent predictive performance which plays a key role in the prognosis, informing the individualized treatment of UVM patients. It also provides a new perspective for assessing pre-immune efficacy.
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Affiliation(s)
- Yunyue Li
- Queen Mary College, Medical School of Nanchang University, Nanchang, China
| | - Huabao Cai
- Department of Neurosurgery, First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jinyan Yang
- School of Stomatology, Southwest Medical University, Luzhou, China
| | - Xixi Xie
- School of Stomatology, Southwest Medical University, Luzhou, China
| | - Shengbin Pei
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yifan Wu
- Department of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jinhao Zhang
- School of Stomatology, Southwest Medical University, Luzhou, China
| | - Guobin Song
- School of Stomatology, Southwest Medical University, Luzhou, China
| | - Jieying Zhang
- First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qinhong Zhang
- Heilongjiang University of Chinese Medicine, Harbin, China
| | - Hao Chi
- Clinical Medical College, Southwest Medical University, Luzhou, China
| | - Guanhu Yang
- Department of Specialty Medicine, Ohio University, Athens, OH, United States
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10
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Roy AM, Iyer R, Chakraborty S. The extracellular matrix in hepatocellular carcinoma: Mechanisms and therapeutic vulnerability. Cell Rep Med 2023; 4:101170. [PMID: 37652015 PMCID: PMC10518608 DOI: 10.1016/j.xcrm.2023.101170] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 04/04/2023] [Accepted: 08/03/2023] [Indexed: 09/02/2023]
Abstract
The tumor microenvironment (TME) is influenced by a "disorganized" extracellular matrix (ECM) that sensitizes cancer cells toward mechanical stress, signaling, and structural alterations. In hepatocellular carcinoma (HCC), lack of knowledge about key ECM proteins driving the TME refractory to targeted therapies poses a barrier to the identification of new therapeutic targets. Herein, we discuss the contributions of various ECM components that impact hepatocytes and their surrounding support network during tumorigenesis. In addition, the underpinnings by which ECM proteins transduce mechanical signals to the liver TME are detailed. Finally, in view of the bidirectional feedback between the ECM, transformed hepatocytes, and immune cells, we highlight the potential role of the ECM disorganization process in shaping responses to immune checkpoint inhibitors and targeted therapies. Our comprehensive characterization of these ECM components may provide a roadmap for innovative therapeutic approaches to restrain HCC.
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Affiliation(s)
- Arya Mariam Roy
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA
| | - Renuka Iyer
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.
| | - Sayan Chakraborty
- Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA; Department of Pharmacology and Therapeutics, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA; Program of Developmental Therapeutics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, 14263.
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11
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Desert R, Chen W, Ge X, Viel R, Han H, Athavale D, Das S, Song Z, Lantvit D, Cano L, Naba A, Musso O, Nieto N. Hepatocellular carcinomas, exhibiting intratumor fibrosis, express cancer-specific extracellular matrix remodeling and WNT/TGFB signatures, associated with poor outcome. Hepatology 2023; 78:741-757. [PMID: 36999534 DOI: 10.1097/hep.0000000000000362] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 02/14/2023] [Indexed: 04/01/2023]
Abstract
BACKGROUND AND AIMS HCC, the third leading cause of cancer-related death, arises in the context of liver fibrosis. Although HCC is generally poorly fibrogenic, some tumors harbor focal intratumor extracellular matrix (ECM) deposits called "fibrous nests." To date, the molecular composition and clinical relevance of these ECM deposits have not been fully defined. APPROACH AND RESULTS We performed quantitative matrisome analysis by tandem mass tags mass spectrometry in 20 human cancer specific matrisome (HCCs) with high or low-grade intratumor fibrosis and matched nontumor tissues, as well as in 12 livers from mice treated with vehicle, carbon tetrachloride, or diethylnitrosamine. We found 94 ECM proteins differentially abundant between high and low-grade fibrous nests, including interstitial and basement membrane components, such as several collagens, glycoproteins, proteoglycans, enzymes involved in ECM stabilization and degradation, and growth factors. Pathway analysis revealed a metabolic switch in high-grade fibrosis, with enhanced glycolysis and decreased oxidative phosphorylation. Integrating the quantitative proteomics with transcriptomics from HCCs and nontumor livers (n = 2,285 samples), we identified a subgroup of fibrous nest HCCs, characterized by cancer-specific ECM remodeling, expression of the WNT/TGFB (S1) subclass signature, and poor patient outcome. Fibrous nest HCCs abundantly expressed an 11-fibrous-nest - protein signature, associated with poor patient outcome, by multivariate Cox analysis, and validated by multiplex immunohistochemistry. CONCLUSIONS Matrisome analysis highlighted cancer-specific ECM deposits, typical of the WNT/TGFB HCC subclass, associated with poor patient outcomes. Hence, histologic reporting of intratumor fibrosis in HCC is of clinical relevance.
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Affiliation(s)
- Romain Desert
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Wei Chen
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Xiaodong Ge
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Roselyne Viel
- Univ Rennes, CNRS, INSERM, UMS Biosit, Rennes, France
| | - Hui Han
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Dipti Athavale
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Sukanta Das
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Zhuolun Song
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Daniel Lantvit
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
| | - Luis Cano
- INSERM, Univ Rennes, Nutrition, Métabolismes et Cancer (NuMeCan), 2 Rue Henri le Guilloux, Rennes, France
| | - Alexandra Naba
- Department of Physiology and Biophysics, University of Illinois at Chicago, Chicago, Illinois, USA
- University of Illinois Cancer Center, Chicago, Illinois, USA
| | - Orlando Musso
- INSERM, Univ Rennes, Nutrition, Métabolismes et Cancer (NuMeCan), 2 Rue Henri le Guilloux, Rennes, France
| | - Natalia Nieto
- Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA
- University of Illinois Cancer Center, Chicago, Illinois, USA
- Division of Gastroenterology and Hepatology, Department of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA
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12
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Huang X, Meng H, Shou Z, Yu J, Hu K, Chen L, Zhou H, Bai Z, Chen C. Identification of basement membrane-related biomarkers associated with the diagnosis of osteoarthritis based on machine learning. BMC Med Genomics 2023; 16:198. [PMID: 37612746 PMCID: PMC10464276 DOI: 10.1186/s12920-023-01601-z] [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: 01/09/2023] [Accepted: 07/05/2023] [Indexed: 08/25/2023] Open
Abstract
BACKGROUND Osteoarthritis is a very common clinical disease in middle-aged and elderly individuals, and with the advent of ageing, the incidence of this disease is gradually increasing. There are few studies on the role of basement membrane (BM)-related genes in OA. METHOD We used bioinformatics and machine learning methods to identify important genes related to BMs in OA patients and performed immune infiltration analysis, lncRNA‒miRNA-mRNA network prediction, ROC analysis, and qRT‒PCR. RESULT Based on the results of machine learning, we determined that LAMA2 and NID2 were the key diagnostic genes of OA, which were confirmed by ROC and qRT‒PCR analyses. Immune analysis showed that LAMA2 and NID2 were closely related to resting memory CD4 T cells, mast cells and plasma cells. Two lncRNAs, XIST and TTTY15, were simultaneously identified, and lncRNA‒miRNA‒mRNA network prediction was performed. CONCLUSION LAMA2 and NID2 are important potential targets for the diagnosis and treatment of OA.
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Affiliation(s)
- Xiaojing Huang
- Department of Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China
| | - Hongming Meng
- Department of Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China
- Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China
| | - Zeyu Shou
- Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China
| | - Jiahuan Yu
- Department of Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China
- Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China
| | - Kai Hu
- Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China
| | - Liangyan Chen
- Department of Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China
- Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China
| | - Han Zhou
- Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China
| | - Zhibiao Bai
- Department of Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China.
| | - Chun Chen
- Department of Orthopedics, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China.
- Wenzhou Medical University, Wenzhou City, 325000, Zhejiang Province, China.
- Key Laboratory of Intelligent Treatment and Life Support for Critical Diseases of Zhejiang Province, Wenzhou, 325000, Zhejiang, China.
- Zhejiang Engineering Research Center for Hospital Emergency and Process Digitization, Wenzhou, 325000, Zhejiang, China.
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13
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Liu Y, Yu K, Kong X, Zhang K, Wang L, Zhang N, Chen Q, Niu M, Li W, Zhong X, Wu S, Zhang J, Liu Y. FOXA1 O-GlcNAcylation-mediated transcriptional switch governs metastasis capacity in breast cancer. SCIENCE ADVANCES 2023; 9:eadg7112. [PMID: 37595040 PMCID: PMC10438466 DOI: 10.1126/sciadv.adg7112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Accepted: 07/19/2023] [Indexed: 08/20/2023]
Abstract
FOXA1, a transcription factor involved in epigenetic reprogramming, is crucial for breast cancer progression. However, the mechanisms by which FOXA1 achieves its oncogenic functions remain elusive. Here, we demonstrate that the O-linked β-N-acetylglucosamine modification (O-GlcNAcylation) of FOXA1 promotes breast cancer metastasis by orchestrating the transcription of numerous metastasis regulators. O-GlcNAcylation at Thr432, Ser441, and Ser443 regulates the stability of FOXA1 and promotes its assembly with chromatin. O-GlcNAcylation shapes the FOXA1 interactome, especially triggering the recruitment of the transcriptional repressor methyl-CpG binding protein 2 and consequently stimulating FOXA1 chromatin-binding sites to switch to chromatin loci of adhesion-related genes, including EPB41L3 and COL9A2. Site-specific depletion of O-GlcNAcylation on FOXA1 affects the expression of various downstream genes and thus inhibits breast cancer proliferation and metastasis both in vitro and in vivo. Our data establish the importance of aberrant FOXA1 O-GlcNAcylation in breast cancer progression and indicate that targeting O-GlcNAcylation is a therapeutic strategy for metastatic breast cancer.
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Affiliation(s)
- Yajie Liu
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin, China
| | - Kairan Yu
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin, China
| | - Xiaotian Kong
- Faculty of Environment and Life, Beijing University of Technology, Beijing, China
- Beijing International Science and Technology Cooperation Base for Intelligent Physiological Measurement and Clinical Transformation, Beijing, China
| | - Keren Zhang
- Department of Chemistry, College of Science, Southern University of Science and Technology, Shenzhen, China
| | - Lingyan Wang
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin, China
| | - Nana Zhang
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin, China
| | - Qiushi Chen
- Department of Chemistry, The University of Hong Kong, Hong Kong, China
- Laboratory for Synthetic Chemistry and Chemical Biology Limited, Hong Kong Science Park, Science Park West Avenue, Hong Kong, China
| | - Mingshan Niu
- Blood Diseases Institute, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Wenli Li
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin, China
| | - Xiaomin Zhong
- Department of Oncology, The Affiliated Huaian No.1 People's Hospital of Nanjing Medical University, Huai'an, China
| | - Sijin Wu
- Laboratory of Molecular Modeling and Design, State Key Laboratory of Molecular Reaction Dynamics, Dalian Institute of Chemical Physics, Chinese Academy of Sciences, Dalian, China
| | - Jianing Zhang
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin, China
| | - Yubo Liu
- School of Life and Pharmaceutical Sciences, Dalian University of Technology, Panjin, China
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14
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Guan Y, Ren Z, Yang B, Xu W, Wu W, Li X, Zhang T, Li D, Chen S, Bai J, Song X, Jia Z, Xiong X, He S, Li C, Meng F, Wu T, Zhang J, Liu X, Meng H, Peng J, Wang Y. Dual-bionic regenerative microenvironment for peripheral nerve repair. Bioact Mater 2023; 26:370-386. [PMID: 36942011 PMCID: PMC10024190 DOI: 10.1016/j.bioactmat.2023.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 01/28/2023] [Accepted: 02/02/2023] [Indexed: 03/18/2023] Open
Abstract
Autologous nerve grafting serves is considered the gold standard treatment for peripheral nerve defects; however, limited availability and donor area destruction restrict its widespread clinical application. Although the performance of allogeneic decellularized nerve implants has been explored, challenges such as insufficient human donors have been a major drawback to its clinical use. Tissue-engineered neural regeneration materials have been developed over the years, and researchers have explored strategies to mimic the peripheral neural microenvironment during the design of nerve catheter grafts, namely the extracellular matrix (ECM), which includes mechanical, physical, and biochemical signals that support nerve regeneration. In this study, polycaprolactone/silk fibroin (PCL/SF)-aligned electrospun material was modified with ECM derived from human umbilical cord mesenchymal stem cells (hUMSCs), and a dual-bionic nerve regeneration material was successfully fabricated. The results indicated that the developed biomimetic material had excellent biological properties, providing sufficient anchorage for Schwann cells and subsequent axon regeneration and angiogenesis processes. Moreover, the dual-bionic material exerted a similar effect to that of autologous nerve transplantation in bridging peripheral nerve defects in rats. In conclusion, this study provides a new concept for designing neural regeneration materials, and the prepared dual-bionic repair materials have excellent auxiliary regenerative ability and further preclinical testing is warranted to evaluate its clinical application potential.
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Affiliation(s)
- Yanjun Guan
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Co-innovation Center of Neuroregeneration, Nantong University Nantong, Jiangsu Province, 226007, PR China
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Zhiqi Ren
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Boyao Yang
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Wenjing Xu
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
| | - Wenjun Wu
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Xiangling Li
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
| | - Tieyuan Zhang
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Dongdong Li
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Shengfeng Chen
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
| | - Jun Bai
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Xiangyu Song
- Hebei North University, Zhangjiakou, 075051, PR China
| | - Zhibo Jia
- Hebei North University, Zhangjiakou, 075051, PR China
| | - Xing Xiong
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Songlin He
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- School of Medicine, Nankai University, Tianjin, 300071, PR China
| | - Chaochao Li
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Fanqi Meng
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
| | - Tong Wu
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
| | - Jian Zhang
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Xiuzhi Liu
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Graduate School of Chinese PLA General Hospital, No. 28 Fuxing Road, Beijing, 100853, PR China
| | - Haoye Meng
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
| | - Jiang Peng
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Co-innovation Center of Neuroregeneration, Nantong University Nantong, Jiangsu Province, 226007, PR China
- Corresponding author. Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China.
| | - Yu Wang
- Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China
- Co-innovation Center of Neuroregeneration, Nantong University Nantong, Jiangsu Province, 226007, PR China
- Corresponding author. Institute of Orthopedics, The Fourth Medical Center of Chinese PLA General Hospital, Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, No. 51 Fucheng Road, Beijing, 100048, PR China.
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15
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Statzer C, Park JYC, Ewald CY. Extracellular Matrix Dynamics as an Emerging yet Understudied Hallmark of Aging and Longevity. Aging Dis 2023; 14:670-693. [PMID: 37191434 DOI: 10.14336/ad.2022.1116] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2022] [Accepted: 11/16/2022] [Indexed: 05/17/2023] Open
Abstract
The biomechanical properties of extracellular matrices (ECM) and their consequences for cellular homeostasis have recently emerged as a driver of aging. Here we review the age-dependent deterioration of ECM in the context of our current understanding of the aging processes. We discuss the reciprocal interactions of longevity interventions with ECM remodeling. And the relevance of ECM dynamics captured by the matrisome and the matreotypes associated with health, disease, and longevity. Furthermore, we highlight that many established longevity compounds promote ECM homeostasis. A large body of evidence for the ECM to qualify as a hallmark of aging is emerging, and the data in invertebrates is promising. However, direct experimental proof that activating ECM homeostasis is sufficient to slow aging in mammals is lacking. We conclude that further research is required and anticipate that a conceptual framework for ECM biomechanics and homeostasis will provide new strategies to promote health during aging.
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Affiliation(s)
- Cyril Statzer
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach CH-8603, Switzerland
| | - Ji Young Cecilia Park
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach CH-8603, Switzerland
| | - Collin Y Ewald
- Laboratory of Extracellular Matrix Regeneration, Institute of Translational Medicine, Department of Health Sciences and Technology, ETH Zürich, Schwerzenbach CH-8603, Switzerland
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16
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Wasson EM, He W, Ahlquist J, Hynes WF, Triplett MG, Hinckley A, Karelehto E, Gray-Sherr DR, Friedman CF, Robertson C, Shusteff M, Warren R, Coleman MA, Moya ML, Wheeler EK. A perfused multi-well bioreactor platform to assess tumor organoid response to a chemotherapeutic gradient. Front Bioeng Biotechnol 2023; 11:1193430. [PMID: 37324446 PMCID: PMC10264793 DOI: 10.3389/fbioe.2023.1193430] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/24/2023] [Accepted: 05/17/2023] [Indexed: 06/17/2023] Open
Abstract
There is an urgent need to develop new therapies for colorectal cancer that has metastasized to the liver and, more fundamentally, to develop improved preclinical platforms of colorectal cancer liver metastases (CRCLM) to screen therapies for efficacy. To this end, we developed a multi-well perfusable bioreactor capable of monitoring CRCLM patient-derived organoid response to a chemotherapeutic gradient. CRCLM patient-derived organoids were cultured in the multi-well bioreactor for 7 days and the subsequently established gradient in 5-fluorouracil (5-FU) concentration resulted in a lower IC50 in the region near the perfusion channel versus the region far from the channel. We compared behaviour of organoids in this platform to two commonly used PDO culture models: organoids in media and organoids in a static (no perfusion) hydrogel. The bioreactor IC50 values were significantly higher than IC50 values for organoids cultured in media whereas only the IC50 for organoids far from the channel were significantly different than organoids cultured in the static hydrogel condition. Using finite element simulations, we showed that the total dose delivered, calculated using area under the curve (AUC) was similar between platforms, however normalized viability was lower for the organoid in media condition than in the static gel and bioreactor. Our results highlight the utility of our multi-well bioreactor for studying organoid response to chemical gradients and demonstrate that comparing drug response across these different platforms is nontrivial.
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Affiliation(s)
- Elisa Marie Wasson
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Wei He
- Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Jesse Ahlquist
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - William Fredrick Hynes
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Michael Gregory Triplett
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Aubree Hinckley
- Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Eveliina Karelehto
- Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
- Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, United States
| | | | - Caleb Fisher Friedman
- Department of Computational Media, University of California Santa Cruz, Santa Cruz, CA, United States
| | - Claire Robertson
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
- UC Davis Comprehensive Cancer Center, Davis, CA, United States
| | - Maxim Shusteff
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Robert Warren
- Department of Surgery, University of California, San Francisco, San Francisco, CA, United States
- Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, United States
| | - Matthew A. Coleman
- Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Monica Lizet Moya
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
| | - Elizabeth K. Wheeler
- Materials Engineering Division, Lawrence Livermore National Laboratory, Livermore, CA, United States
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Zhang X, Wu T, Zhou J, Chen X, Dong C, Guo Z, Yang R, Liang R, Feng Q, Hu R, Li Y, Ding R. Establishment and verification of prognostic model and ceRNA network analysis for colorectal cancer liver metastasis. BMC Med Genomics 2023; 16:99. [PMID: 37161577 PMCID: PMC10169504 DOI: 10.1186/s12920-023-01523-w] [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: 12/20/2022] [Accepted: 04/21/2023] [Indexed: 05/11/2023] Open
Abstract
OBJECTS Colorectal cancer (CRC) is one of the most common cancers in the world. Approximately two-thirds of patients with CRC will develop colorectal cancer liver metastases (CRLM) at some point in time. In this study, we aimed to construct a prognostic model of CRLM and its competing endogenous RNA (ceRNA) network. METHODS RNA-seq of CRC, CRLM and normal samples were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus database. Limma was used to obtain differential expression genes (DEGs) between CRLM and CRC from sequencing data and GSE22834, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes functional enrichment analyses were performed, respectively. Univariate Cox regression analysis and lasso Cox regression models were performed to screen prognostic gene features and construct prognostic models. Functional enrichment, estimation of stromal and immune cells in malignant tumor tissues using expression data (ESTIMATE) algorithm, single-sample gene set enrichment analysis, and ceRNA network construction were applied to explore potential mechanisms. RESULTS An 8-gene prognostic model was constructed by screening 112 DEGs from TCGA and GSE22834. CRC patients in the TCGA and GSE29621 cohorts were stratified into either a high-risk group or a low-risk group. Patients with CRC in the high-risk group had a significantly poorer prognosis compared to in the low-risk group. The risk score was identified as an independent predictor of prognosis. Functional analysis revealed that the risk score was closly correlated with various immune cells and immune-related signaling pathways. And a prognostic gene-associated ceRNA network was constructed that obtained 3 prognosis gene, 14 microRNAs (miRNAs) and 7 long noncoding RNAs (lncRNAs). CONCLUSIONS In conclusion, a prognostic model for CRLM identification was proposed, which could independently identify high-risk patients with low survival, suggesting a relationship between local immune status and prognosis of CRLM. Moreover, the key prognostic genes-related ceRNA network were established for the CRC investigation. Based on the differentially expressed genes between CRLM and CRC, the prognosis model of CRC patients was constructed.
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Affiliation(s)
- Xuan Zhang
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Tao Wu
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jinmei Zhou
- Department of Minimally Invasive Intervention, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Xishan District, No. 519, Kunzhou Road, Kunming, 650118, China
| | - Xiaoqiong Chen
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Chao Dong
- Department of Oncology, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Zhangyou Guo
- Department of Minimally Invasive Intervention, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Xishan District, No. 519, Kunzhou Road, Kunming, 650118, China
| | - Renfang Yang
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Rui Liang
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Qing Feng
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Ruixi Hu
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Yunfeng Li
- Department of Colorectal Surgery, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, China.
| | - Rong Ding
- Department of Minimally Invasive Intervention, Yunnan Cancer Hospital, The Third Affiliated Hospital of Kunming Medical University, Xishan District, No. 519, Kunzhou Road, Kunming, 650118, China.
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18
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Lin K, Xu D, Wang X, Shi J, Gao W. Development of a basement membrane gene signature and identification of the potential candidate therapeutic targets for pancreatic cancer. Gland Surg 2023; 12:263-281. [PMID: 36915817 PMCID: PMC10005979 DOI: 10.21037/gs-23-24] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Accepted: 02/10/2023] [Indexed: 03/02/2023]
Abstract
Background Pancreatic cancer is a deadly cancer with a poor prognosis. In light of mounting evidence that basement membrane genes (BMGs) play a role in the development of cancer, we sought to examine the prognostic importance and role of BMGs in pancreatic ductal adenocarcinoma (PDAC) patients. Methods BMGs were obtained from previous top research studies. The clinical and messenger ribonucleic acid expression data were retrieved from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) data sets, respectively. Cox regression and least absolute shrinkage and selection operator (LASSO) regression analyses were used for the PDAC risk modeling and gene identification. The Kaplan-Meier method was used to compare outcomes between the low- and high-risk groups. Finally, we analyzed small-molecule drugs that could be used to target BMGs for treatment using the Enrichr data set and validated the function of the tubulointerstitial nephritis antigen (TINAG) in pancreatic cancer. Results We successfully constructed and validated a 7 BMG-based model to predict PDAC patient outcomes. Additionally, we discovered that 7 BMG-based model was an independent predictive factor for PDAC. According to our functional analysis, the majority of the signaling pathways enriched in BMGs were those connected to malignancy. Immune cell infiltration and immunological checkpoints were also linked to the BMG-based model. Further, we identified 5 small-molecule drugs that may be useful in treating PDAC patients. We also found that TINAG promoted cell proliferation in pancreatic cancer. Conclusions Our study extended understandings of how BMGs work in PDAC. We identified a credible predictive biomarker for PDAC patients' survival.
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Affiliation(s)
- Kai Lin
- Pancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
- Department of Gastrointestinal Surgery, Affiliated Hangzhou First People’s Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Dong Xu
- Department of General Surgery, Gaochun People’s Hospital, Nanjing, China
| | - Xiaoxiao Wang
- Department of GCP Research Center, The Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Jun Shi
- School of Traditional Chinese Medicine and School of Integrated Chinese and Western Medicine, Nanjing University of Chinese Medicine, Nanjing, China
| | - Wentao Gao
- Pancreas Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Chakravarti AR, Groer CE, Gong H, Yudistyra V, Forrest ML, Berkland CJ. Design of a Tumor Binding GMCSF as Intratumoral Immunotherapy of Solid Tumors. Mol Pharm 2023; 20:1975-1989. [PMID: 36825806 DOI: 10.1021/acs.molpharmaceut.2c00897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/25/2023]
Abstract
Next-generation cancer immunotherapies may utilize immunostimulants to selectively activate the host immune system against tumor cells. Checkpoint inhibitors (CPIs) like anti-PD1/PDL-1 that inhibit immunosuppression have shown unprecedented success but are only effective in the 20-30% of patients that possess an already "hot" (immunogenic) tumor. In this regard, intratumoral (IT) injection of immunostimulants is a promising approach since they can work synergistically with CPIs to overcome the resistance to immunotherapies by inducing immune stimulation in the tumor. One such immunostimulant is granulocyte macrophage-colony-stimulating factor (GMCSF) that functions by recruiting and activating antigen-presenting cells (dendritic cells) in the tumor, thereby initiating anti-tumor immune responses. However, key problems with GMCSF are lack of efficacy and the risk of systemic toxicity caused by the leakage of GMCSF from the tumor tissue. We have designed tumor-retentive versions of GMCSF that are safe yet potent immunostimulants for the local treatment of solid tumors. The engineered GMCSFs (eGMCSF) were synthesized by recombinantly fusing tumor-ECM (extracellular matrix) binding peptides to GMCSF. The eGMCSFs exhibited enhanced tumor binding and potent immunological activity in vitro and in vivo. Upon IT administration, the tumor-retentive eGMCSFs persisted in the tumor, thereby alleviating systemic toxicity, and elicited localized immune activation to effectively turn an unresponsive immunologically "cold" tumor "hot".
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Affiliation(s)
| | - Chad E Groer
- HylaPharm, LLC, Lawrence, Kansas 66047, United States.,Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, Kansas 66047, United States
| | - Huan Gong
- Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, Kansas 66047, United States
| | - Vivian Yudistyra
- Department of Chemical and Petroleum Engineering, University of Kansas, Lawrence, Kansas 66045, United States
| | - Marcus Laird Forrest
- HylaPharm, LLC, Lawrence, Kansas 66047, United States.,Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, Kansas 66047, United States
| | - Cory J Berkland
- Bioengineering Program, The University of Kansas, Lawrence, Kansas 66045, United States.,Department of Pharmaceutical Chemistry, The University of Kansas, Lawrence, Kansas 66047, United States.,Department of Chemical and Petroleum Engineering, University of Kansas, Lawrence, Kansas 66045, United States
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Zhu X, Liu X, Qiu X, Niu Z, Dong W, Song Y. Prognostic roles of a novel basement membranes-related gene signature in lung adenocarcinoma. Front Genet 2023; 14:1100560. [PMID: 36845403 PMCID: PMC9946986 DOI: 10.3389/fgene.2023.1100560] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/31/2023] [Indexed: 02/11/2023] Open
Abstract
Background: The basement membranes (BMs) are involved in tumor progression, while few comprehensive analyses to date are performed on the role of BM-related gene signatures in lung adenocarcinoma (LUAD). Thus, we aimed to develop a novel prognostic model in LUAD based on BMs-related gene profiling. Methods: The LUAD BMs-related gene profiling and corresponding clinicopathological data were obtained from the basement membrane BASE, The Cancer Genome Atlas (TCGA) and gene expression omnibus (GEO) databases. The Cox regression and least absolute shrinkage and selection operator (LASSO) methods were used to construct a BMs-based risk signature. The concordance index (C-index), receiver operating characteristic (ROC), and calibration curves were generated to evaluate the nomogram. The GSE72094 dataset was used to validate prediction of the signature. The differences in functional enrichment, immune infiltration, and drug sensitivity analyses were compared based on risk score. Results: In TCGA training cohort, 10 BMs-related genes were found, (e.g., ACAN, ADAMTS15, ADAMTS8, BCAN, etc). The signal signature based on these 10 genes was categorized into high- and low-risk groups regarding survival differences (p < 0.001). Multivariable analysis showed that the signature of combined 10 BMs-related genes was an independent prognostic predictor. Such a prognostic value of BMs-based signature in validation cohort of the GSE72094 were further verified. The GEO verification, C-index, and ROC curve showed that the nomogram had accurate prediction performance. The functional analysis suggested that BMs were mainly enriched in extracellular matrix-receptor (ECM-receptor) interaction. Moreover, the BMs-based model was correlated with immune checkpoint. Conclusion: This study identified BMs-based risk signature genes and demonstrated their ability to predict prognosis and guide personalized treatment of patients with LUAD.
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Affiliation(s)
- Xingzhuang Zhu
- Department of Oncology, Qingdao University, Qingdao, China,Department of Radiation Oncology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, China
| | - Xiaoyan Liu
- Department of Radiation Oncology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, China
| | - Xiaowen Qiu
- Department of Oncology, Binzhou Medical University, Yantai, China
| | - Zihao Niu
- Ministry of Education Key Laboratory of Otolaryngology Head and Neck Surgery, Department of Otolaryngology Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, China
| | - Wei Dong
- Department of Radiation Oncology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, China
| | - Yipeng Song
- Department of Radiation Oncology, Yantai Yuhuangding Hospital, Affiliated Hospital of Qingdao University, Yantai, China,*Correspondence: Yipeng Song,
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Punetha A, Kotiya D. Advancements in Oncoproteomics Technologies: Treading toward Translation into Clinical Practice. Proteomes 2023; 11:2. [PMID: 36648960 PMCID: PMC9844371 DOI: 10.3390/proteomes11010002] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 01/03/2023] [Accepted: 01/04/2023] [Indexed: 01/12/2023] Open
Abstract
Proteomics continues to forge significant strides in the discovery of essential biological processes, uncovering valuable information on the identity, global protein abundance, protein modifications, proteoform levels, and signal transduction pathways. Cancer is a complicated and heterogeneous disease, and the onset and progression involve multiple dysregulated proteoforms and their downstream signaling pathways. These are modulated by various factors such as molecular, genetic, tissue, cellular, ethnic/racial, socioeconomic status, environmental, and demographic differences that vary with time. The knowledge of cancer has improved the treatment and clinical management; however, the survival rates have not increased significantly, and cancer remains a major cause of mortality. Oncoproteomics studies help to develop and validate proteomics technologies for routine application in clinical laboratories for (1) diagnostic and prognostic categorization of cancer, (2) real-time monitoring of treatment, (3) assessing drug efficacy and toxicity, (4) therapeutic modulations based on the changes with prognosis and drug resistance, and (5) personalized medication. Investigation of tumor-specific proteomic profiles in conjunction with healthy controls provides crucial information in mechanistic studies on tumorigenesis, metastasis, and drug resistance. This review provides an overview of proteomics technologies that assist the discovery of novel drug targets, biomarkers for early detection, surveillance, prognosis, drug monitoring, and tailoring therapy to the cancer patient. The information gained from such technologies has drastically improved cancer research. We further provide exemplars from recent oncoproteomics applications in the discovery of biomarkers in various cancers, drug discovery, and clinical treatment. Overall, the future of oncoproteomics holds enormous potential for translating technologies from the bench to the bedside.
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Affiliation(s)
- Ankita Punetha
- Department of Microbiology, Biochemistry and Molecular Genetics, Rutgers New Jersey Medical School, Rutgers University, 225 Warren St., Newark, NJ 07103, USA
| | - Deepak Kotiya
- Department of Pharmacology and Nutritional Sciences, University of Kentucky, 900 South Limestone St., Lexington, KY 40536, USA
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22
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The basement membrane-related gene signature is associated with immunity and predicts survival accurately in hepatocellular carcinoma. J Cancer Res Clin Oncol 2022:10.1007/s00432-022-04549-2. [PMID: 36575345 DOI: 10.1007/s00432-022-04549-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Accepted: 12/17/2022] [Indexed: 12/28/2022]
Abstract
AIMS Hepatocellular carcinoma (HCC) is the most common type of primary liver cancer. Expression defects and turnover of basement membrane (BM) proteins are key pathogenic factors in cancer. It is still uncertain how the expression of BM-related genes (BMGs) in HCC relates to prognosis. METHODS All of the HCC cohort's RNA-seq and clinical information came from TCGA datasets. The least absolute shrinkage and selection operator (LASSO) regression algorithm was utilized to filter down the candidate genes and construct the prognostic model. Univariate and multivariate Cox analyses were run to examine if the risk score may serve as a standalone prognostic indicator. The single-sample gene set enrichment analysis (ssGSEA) was utilized to analyze examine immune cell infiltration and pathway activity. RESULTS Five genes and their risk coefficients were eventually identified and patients with HCC were classified as either high or low risk based on the median of risk scores. Multivariate Cox regression analysis found a significant correlation between risk score and OS (p < 0.001). Subgroup analysis showed that BMGs signature had good prediction ability for HCC patients in age, gender, T stage, and AJCC stage (all p < 0.05). According to the ssGSEA, the high-risk subgroup showed higher levels of immune cell infiltration and immune-related pathways were more engaged in the high-risk group. CONCLUSIONS Our research systematically built a prognostic model using risk score based on BMGs signature in HCC patients. The immune feature analysis of the BMGs signature indicated a potential regulation between tumor immunity and BM in HCC.
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Rappu P, Suwal U, Siljamäki E, Heino J. Inflammation-related citrullination of matrisome proteins in human cancer. Front Oncol 2022; 12:1035188. [PMID: 36531007 PMCID: PMC9753687 DOI: 10.3389/fonc.2022.1035188] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Accepted: 11/14/2022] [Indexed: 10/03/2023] Open
Abstract
INTRODUCTION Protein arginine deiminases (PADs) are intracellular enzymes that may, especially in pathological conditions, also citrullinate extracellular substrates, including matrisome proteins such as structural proteins in extracellular matrix (ECM). PADs are abundantly expressed in human cancer cells. Citrullination of matrisome proteins has been reported in colon cancer but the phenomenon has never been systematically studied. METHODS To gain a broader view of citrullination of matrisome proteins in cancer, we analyzed cancer proteomics data sets in 3 public databases for citrullinated matrisome proteins. In addition, we used three-dimensional cell cocultures of fibroblasts and cancer cells and analyzed citrullination of ECM. RESULTS AND DISCUSSION Our new analysis indicate that citrullination of ECM occurs in human cancer, and there is a significant variation between tumors. Most frequently citrullinated proteins included fibrinogen and fibronectin, which are typically citrullinated in rheumatoid inflammation. We also detected correlation between immune cell marker proteins, matrix metalloproteinases and ECM citrullination, which suggests that in cancer, citrullination of matrisome proteins is predominantly an inflammation-related phenomenon. This was further supported by our analysis of three-dimensional spheroid co-cultures of nine human cancer cell lines and fibroblasts by mass spectrometry, which gave no evidence that cancer cells or fibroblasts could citrullinate matrisome proteins in tumor stroma. It also appears that in the spheroid cultures, matrisome proteins are protected from citrullination.
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Li S, Yu B, Gao X, Zheng Y, Ma T, Hao Y, Wu H, Wei B, Wei Y, Luo Z, Xia B, Huang J. Discovery of novel immunotherapeutic drug candidates for sciatic nerve injury using bioinformatic analysis and experimental verification. Front Pharmacol 2022; 13:1035143. [DOI: 10.3389/fphar.2022.1035143] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Accepted: 10/27/2022] [Indexed: 11/09/2022] Open
Abstract
Inflammation following nerve injury and surgery often causes peripheral nerve adhesion (PNA) to the surrounding tissue. Numerous investigations independently examined the prevention or inhibition of PNA, however, an intervention targeting macrophages has not been fully elucidated. Basement membrane (BM) genes are known to modulate central nervous system (CNS) inflammation, however, their activities in the peripheral nervous system (PNS) remains undiscovered. In this report, we carried out weighted correlation network analysis (WCNA) to screen for principal sciatic nerve injury (SNI) module genes. Once an association between the module and BM genes was established, the protein–protein interaction (PPI) and immune infiltration analyses were employed to screen for relevant BM-related immune genes (Itgam, SDC1, Egflam, and CD44) in SNI. Subsequently, using the Drug SIGnatures (DSigDB) database and molecular docking, we demonstrated that Trichostatin A (TSA) interacted with key immune genes. TSA is known to enhance M2 macrophage expression and attenuate fibrosis. Nevertheless, the significance of the epigenetic modulation of macrophage phenotypes in dorsal root ganglion (DRG) is undetermined after SNI. In this article, we examined the TSA role in fibrogenesis and macrophage plasticity associated with DRG. We revealed that TSA enhanced M2 macrophage aggregation, inhibited fibroblast activation, and improved sciatic nerve regeneration (SNR) and sensory functional recovery (FR) after SNI. In addition, TSA suppressed M1 macrophages and enhanced M2 macrophage invasion within the DRG tissue. Furthermore, TSA dramatically reduced IL-1β and TNFα levels, while upregulating IL-10 level. In summary, this research revealed for the first time that TSA alleviates fibrosis in DRG by promoting an M1 to M2 macrophage transition, which, in turn, accelerates SNR.
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Modulation of human iPSC-derived hepatocyte phenotype via extracellular matrix microarrays. Acta Biomater 2022; 153:216-230. [PMID: 36115650 PMCID: PMC9869484 DOI: 10.1016/j.actbio.2022.09.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2022] [Revised: 08/28/2022] [Accepted: 09/07/2022] [Indexed: 01/26/2023]
Abstract
In vitro human liver models are essential for drug screening, disease modeling, and cell-based therapies. Induced pluripotent stem cell (iPSC)-derived hepatocyte-like cells (iHeps) mitigate sourcing limitations of primary human hepatocytes (PHHs) and enable precision medicine; however, current protocols yield iHeps with very low differentiated functions. The composition and stiffness of liver's extracellular matrix (ECM) cooperatively regulate hepatic phenotype in vivo, but such effects on iHeps remain unelucidated. Here, we utilized ECM microarrays and high content imaging to assess human iHep attachment and functions on ten major liver ECM proteins in single and two-way combinations robotically spotted onto polyacrylamide gels of liver-like stiffnesses; microarray findings were validated using hydrogel-conjugated multiwell plates. Collagen-IV supported higher iHep attachment than collagen-I over 2 weeks on 1 kPa, while laminin and its combinations with collagen-III, fibronectin, tenascin C, or hyaluronic acid led to both high iHep attachment and differentiated functions; laminin and its combination with tenascin or fibronectin led to similar albumin expression in iHeps and PHHs. Additionally, several collagen-IV-, laminin-, fibronectin-, and collagen-V-containing combinations on 1 kPa led to similar or higher CYP3A4 staining in iHeps than PHHs. Lastly, collagen-I or -III mixed with laminin, collagen-IV mixed with lumican, and collagen-V mixed with fibronectin led to high and stable functional output (albumin/urea secretions; CYP1A2/2C9/3A4 activities) in iHep cultures versus declining PHH numbers/functions for 3 weeks within multiwell plates containing 1 kPa hydrogels. Ultimately, these platforms can help elucidate ECM's role in liver diseases and serve as building blocks of engineered tissues for applications. STATEMENT OF SIGNIFICANCE: We utilized high-throughput extracellular matrix (ECM) microarrays and high content imaging to assess the attachment and differentiated functions of iPSC-derived human hepatocyte-like cells (iHep) on major liver ECM protein combinations spotted onto polyacrylamide gels of liver-like stiffnesses. We observed that iHep responses are regulated in unexpected ways via the cooperation between ECM stiffness and protein composition. Using this approach, we induced mature functions in iHeps on substrates of physiological stiffness and select ECM coatings at higher levels over 3+ weeks than analogous primary human hepatocyte cultures, which is useful for building platforms for drug screening, disease modeling, and regenerative medicine.
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Tao J, Li X, Liang C, Liu Y, Zhou J. Expression of basement membrane genes and their prognostic significance in clear cell renal cell carcinoma patients. Front Oncol 2022; 12:1026331. [DOI: 10.3389/fonc.2022.1026331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2022] [Accepted: 10/06/2022] [Indexed: 11/13/2022] Open
Abstract
BackgroundClear cell renal cell carcinoma (ccRCC) is a malignant tumor with limited treatment options. A recent study confirmed the involvement of basement membrane (BM) genes in the progression of many cancers. Therefore, we studied the role and prognostic significance of BM genes in ccRCC.MethodsCo-expression analysis of ccRCC-related information deposited in The Cancer Genome Atlas database and a BM geneset from a recent study was conducted. The differentially expressed BM genes were validated using quantitative reverse-transcription polymerase chain reaction (qRT-PCR). Least absolute shrinkage and selection operator regression and univariate Cox regression analyses were performed to identify a BM gene signature with prognostic significance for ccRCC. Multivariate Cox regression, time-dependent receiver operating characteristic, Kaplan–Meier, and nomogram analyses were implemented to appraise the prognostic ability of the signature and the findings were further verified using a Gene Expression Omnibus dataset. Additionally, immune cell infiltration and and pathway enrichment analyses were performed using ImmuCellAI and Gene Set Enrichment Analysis (GSEA), respectively. Finally, the DSIGDB dataset was used to screen small-molecule therapeutic drugs that may be useful in treating ccRCC patients.ResultsWe identified 108 BM genes exhibiting different expression levels compared to that in normal kidney tissues, among which 32 genes had prognostic values. The qRT-PCR analyses confirmed that the expression patterns of four of the ten selected genes were the same as the predicted ones. Additionally, we successfully established and validated a ccRCC patient prediction model based on 16 BM genes and observed that the model function is an independent predictor. GSEA revealed that differentially expressed BM genes mainly displayed significant enrichment of tumor and metabolic signaling cascades. The BM gene signature was also associated with immune cell infiltration and checkpoints. Eight small-molecule drugs may have therapeutic effects on ccRCC patients.ConclusionThis study explored the function of BM genes in ccRCC for the first time. Reliable prognostic biomarkers that affect the survival of ccRCC patients were determined, and a BM gene-based prognostic model was established.
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Kumar R, Taylor JC, Jain A, Jung SY, Garza V, Xu Y. Modulation of the extracellular matrix by Streptococcus gallolyticus subsp. gallolyticus and importance in cell proliferation. PLoS Pathog 2022; 18:e1010894. [PMID: 36191045 PMCID: PMC9560553 DOI: 10.1371/journal.ppat.1010894] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2022] [Revised: 10/13/2022] [Accepted: 09/22/2022] [Indexed: 11/15/2022] Open
Abstract
Streptococcus gallolyticus subspecies gallolyticus (Sgg) has a strong clinical association with colorectal cancer (CRC) and actively promotes the development of colon tumors. Previous work showed that this organism stimulates CRC cells proliferation and tumor growth. However, the molecular mechanisms underlying these activities are not well understood. Here, we found that Sgg upregulates the expression of several type of collagens in HT29 and HCT116 cells, with type VI collagen (ColVI) being the highest upregulated type. Knockdown of ColVI abolished the ability of Sgg to induce cell proliferation and reduced the adherence of Sgg to CRC cells. The extracellular matrix (ECM) is an important regulator of cell proliferation. Therefore, we further examined the role of decellularized matrix (dc-matrix), which is free of live bacteria or cells, in Sgg-induced cell proliferation. Dc-matrix prepared from Sgg-treated cells showed a significantly higher pro-proliferative activity than that from untreated cells or cells treated with control bacteria. On the other hand, dc-matrix from Sgg-treated ColVI knockdown cells showed no difference in the capacity to support cell proliferation compared to that from untreated ColVI knockdown cells, suggesting that the ECM by itself is a mediator of Sgg-induced cell proliferation. Furthermore, Sgg treatment of CRC cells but not ColVI knockdown CRC cells resulted in significantly larger tumors in vivo, suggesting that ColVI is important for Sgg to promote tumor growth in vivo. These results highlight a dynamic bidirectional interplay between Sgg and the ECM, where Sgg upregulates collagen expression. The Sgg-modified ECM in turn affects the ability of Sgg to adhere to host cells and more importantly, acts as a mediator for Sgg-induced CRC cell proliferation. Taken together, our results reveal a novel mechanism in which Sgg stimulates CRC proliferation through modulation of the ECM.
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Affiliation(s)
- Ritesh Kumar
- Center for Infectious and Inflammatory Diseases, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, Texas, United States of America
| | - John Culver Taylor
- Center for Infectious and Inflammatory Diseases, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, Texas, United States of America
| | - Antrix Jain
- MS Proteomics Core, Baylor College of Medicine, Houston, Texas, United States of America
| | - Sung Yun Jung
- Department of Biochemistry and Molecular Biology, Baylor College of Medicine, Houston, Texas, United States of America
| | - Victor Garza
- Center for Infectious and Inflammatory Diseases, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, Texas, United States of America
| | - Yi Xu
- Center for Infectious and Inflammatory Diseases, Institute of Biosciences and Technology, Texas A&M Health Science Center, Houston, Texas, United States of America
- Department of Microbial Pathogenesis and Immunology, College of Medicine, Texas A&M Health Science Center, College Station, Texas, United States of America
- Department of Microbiology and Molecular Genetics, McGovern Medical School, UT Health, Houston, Texas, United States of America
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Kołakowski A, Dziemitko S, Chmielecka A, Żywno H, Bzdęga W, Charytoniuk T, Chabowski A, Konstantynowicz-Nowicka K. Molecular Advances in MAFLD—A Link between Sphingolipids and Extracellular Matrix in Development and Progression to Fibrosis. Int J Mol Sci 2022; 23:ijms231911380. [PMID: 36232681 PMCID: PMC9569877 DOI: 10.3390/ijms231911380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/18/2022] [Accepted: 09/23/2022] [Indexed: 11/25/2022] Open
Abstract
Metabolic-Associated Fatty Liver Disease (MAFLD) is a major cause of liver diseases globally and its prevalence is expected to grow in the coming decades. The main cause of MAFLD development is changed in the composition of the extracellular matrix (ECM). Increased production of matrix molecules and inflammatory processes lead to progressive fibrosis, cirrhosis, and ultimately liver failure. In addition, increased accumulation of sphingolipids accompanied by increased expression of pro-inflammatory cytokines in the ECM is closely related to lipogenesis, MAFLD development, and its progression to fibrosis. In our work, we will summarize all information regarding the role of sphingolipids e.g., ceramide and S1P in MAFLD development. These sphingolipids seem to have the most significant effect on macrophages and, consequently, HSCs which trigger the entire cascade of overproduction matrix molecules, especially type I and III collagen, proteoglycans, elastin, and also tissue inhibitors of metalloproteinases, which as a result cause the development of liver fibrosis.
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Affiliation(s)
- Adrian Kołakowski
- Department of Physiology, Medical University of Bialystok, 15-089 Bialystok, Poland
| | - Sylwia Dziemitko
- Department of Physiology, Medical University of Bialystok, 15-089 Bialystok, Poland
| | | | - Hubert Żywno
- Department of Physiology, Medical University of Bialystok, 15-089 Bialystok, Poland
| | - Wiktor Bzdęga
- Department of Physiology, Medical University of Bialystok, 15-089 Bialystok, Poland
| | - Tomasz Charytoniuk
- Department of Physiology, Medical University of Bialystok, 15-089 Bialystok, Poland
- Department of Ophthalmology, Antoni Jurasz University Hospital No. 1, 85-094 Bydgoszcz, Poland
| | - Adrian Chabowski
- Department of Physiology, Medical University of Bialystok, 15-089 Bialystok, Poland
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Hewitt DB, Brown ZJ, Pawlik TM. The Role of Biomarkers in the Management of Colorectal Liver Metastases. Cancers (Basel) 2022; 14:cancers14194602. [PMID: 36230522 PMCID: PMC9559307 DOI: 10.3390/cancers14194602] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 09/17/2022] [Indexed: 11/16/2022] Open
Abstract
Simple Summary Colorectal cancer remains one of the most significant sources of cancer-related morbidity and mortality worldwide. The liver is the most common site of metastatic spread. Multiple modalities exist to manage and potentially cure patients with metastatic colorectal cancer. However, reliable biomarkers to assist with clinical decision-making are limited. Recent advances in genomic sequencing technology have greatly expanded our knowledge of colorectal cancer carcinogenesis and significantly reduced the cost and timing of the investigation. In this article, we discuss the current utility of biomarkers in the management of colorectal cancer liver metastases. Abstract Surgical management combined with improved systemic therapies have extended 5-year overall survival beyond 50% among patients with colorectal liver metastases (CRLM). Furthermore, a multitude of liver-directed therapies has improved local disease control for patients with unresectable CRLM. Unfortunately, a significant portion of patients treated with curative-intent hepatectomy develops disease recurrence. Traditional markers fail to risk-stratify and prognosticate patients with CRLM appropriately. Over the last few decades, advances in molecular sequencing technology have greatly expanded our knowledge of the pathophysiology and tumor microenvironment characteristics of CRLM. These investigations have revealed biomarkers with the potential to better inform management decisions in patients with CRLM. Actionable biomarkers such as RAS and BRAF mutations, microsatellite instability/mismatch repair status, and tumor mutational burden have been incorporated into national and societal guidelines. Other biomarkers, including circulating tumor DNA and radiomic features, are under active investigation to evaluate their clinical utility. Given the plethora of therapeutic modalities and lack of evidence on timing and sequence, reliable biomarkers are needed to assist clinicians with the development of patient-tailored management plans. In this review, we discuss the current evidence regarding biomarkers for patients with CRLM.
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Zhou T, Chen W, Wu Z, Cai J, Zhou C. A newly defined basement membrane-related gene signature for the prognosis of clear-cell renal cell carcinoma. Front Genet 2022; 13:994208. [PMID: 36186476 PMCID: PMC9520985 DOI: 10.3389/fgene.2022.994208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Accepted: 08/17/2022] [Indexed: 11/13/2022] Open
Abstract
Background: Basement membranes (BMs) are associated with cell polarity, differentiation, migration, and survival. Previous studies have shown that BMs play a key role in the progression of cancer, and thus could serve as potential targets for inhibiting the development of cancer. However, the association between basement membrane-related genes (BMRGs) and clear cell renal cell carcinoma (ccRCC) remains unclear. To address that gap, we constructed a novel risk signature utilizing BMRGs to explore the relationship between ccRCC and BMs.Methods: We gathered transcriptome and clinical data from The Cancer Genome Atlas (TCGA) and randomly separated the data into training and test sets to look for new potential biomarkers and create a predictive signature of BMRGs for ccRCC. We applied univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analyses to establish the model. The risk signature was further verified and evaluated through principal component analysis (PCA), the Kaplan-Meier technique, and time-dependent receiver operating characteristics (ROC). A nomogram was constructed to predict the overall survival (OS). The possible biological pathways were investigated through functional enrichment analysis. In this study, we also determined tumor mutation burden (TMB) and performed immunological analysis and immunotherapeutic drug analysis between the high- and low-risk groups.Results: We identified 33 differentially expressed genes and constructed a risk model of eight BMRGs, including COL4A4, FREM1, CSPG4, COL4A5, ITGB6, ADAMTS14, MMP17, and THBS4. The PCA analysis showed that the signature could distinguish the high- and low-risk groups well. The K-M and ROC analysis demonstrated that the model could predict the prognosis well from the areas under the curves (AUCs), which was 0.731. Moreover, the nomogram showed good predictability. Univariate and multivariate Cox regression analysis validated that the model results supported the hypothesis that BMRGs were independent risk factors for ccRCC. Furthermore, immune cell infiltration, immunological checkpoints, TMB, and the half-inhibitory concentration varied considerably between high- and low-risk groups.Conclusion: Employing eight BMRGs to construct a risk model as a prognostic indicator of ccRCC could provide us with a potential progression trajectory as well as predictions of therapeutic response.
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Affiliation(s)
- Tao Zhou
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
| | - Weikang Chen
- Department of Reproductive Endocrinology, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Zhigang Wu
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- *Correspondence: Zhigang Wu, ; Jian Cai, ; Chaofeng Zhou,
| | - Jian Cai
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- *Correspondence: Zhigang Wu, ; Jian Cai, ; Chaofeng Zhou,
| | - Chaofeng Zhou
- Department of Urology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- *Correspondence: Zhigang Wu, ; Jian Cai, ; Chaofeng Zhou,
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Jubelin C, Muñoz-Garcia J, Griscom L, Cochonneau D, Ollivier E, Heymann MF, Vallette FM, Oliver L, Heymann D. Three-dimensional in vitro culture models in oncology research. Cell Biosci 2022; 12:155. [PMID: 36089610 PMCID: PMC9465969 DOI: 10.1186/s13578-022-00887-3] [Citation(s) in RCA: 73] [Impact Index Per Article: 36.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Accepted: 08/18/2022] [Indexed: 11/10/2022] Open
Abstract
AbstractCancer is a multifactorial disease that is responsible for 10 million deaths per year. The intra- and inter-heterogeneity of malignant tumors make it difficult to develop single targeted approaches. Similarly, their diversity requires various models to investigate the mechanisms involved in cancer initiation, progression, drug resistance and recurrence. Of the in vitro cell-based models, monolayer adherent (also known as 2D culture) cell cultures have been used for the longest time. However, it appears that they are often less appropriate than the three-dimensional (3D) cell culture approach for mimicking the biological behavior of tumor cells, in particular the mechanisms leading to therapeutic escape and drug resistance. Multicellular tumor spheroids are widely used to study cancers in 3D, and can be generated by a multiplicity of techniques, such as liquid-based and scaffold-based 3D cultures, microfluidics and bioprinting. Organoids are more complex 3D models than multicellular tumor spheroids because they are generated from stem cells isolated from patients and are considered as powerful tools to reproduce the disease development in vitro. The present review provides an overview of the various 3D culture models that have been set up to study cancer development and drug response. The advantages of 3D models compared to 2D cell cultures, the limitations, and the fields of application of these models and their techniques of production are also discussed.
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Guarin JR, Fatherree JP, Oudin MJ. Chemotherapy treatment induces pro-invasive changes in liver ECM composition. Matrix Biol 2022; 112:20-38. [PMID: 35940338 PMCID: PMC10690958 DOI: 10.1016/j.matbio.2022.08.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 07/08/2022] [Accepted: 08/04/2022] [Indexed: 10/16/2022]
Abstract
Metastasis accounts for 90% of cancer-related deaths, yet the mechanisms by which cancer cells colonize secondary organs remain poorly understood. For breast cancer patients, metastasis to the liver is associated with poor prognosis and a median survival of 6 months. Standard of care is chemotherapy, but recurrence occurs in 30% of patients. Systemic chemotherapy has been shown to induce hepatotoxicity and fibrosis, but how chemotherapy impacts the composition of the liver extracellular matrix (ECM) remains unknown. Individual ECM proteins drive tumor cell proliferation and invasion, features that are essential for metastatic outgrowth in the liver. First, we find that the ECM of livers isolated from chemotherapy-treated MMTV-PyMT mice increases the invasion, but not proliferation, of metastatic breast cancer cells. Proteomic analysis of the liver ECM identified Collagen V to be more abundant in paclitaxel-treated livers. We show that Collagen V increases cancer cell invasion via α1β1 integrins and MAPK signaling, while also increasing the alignment of Collagen I, which has been associated with increased invasion. Treatment with obtustatin, an inhibitor specific to α1β1 integrins, inhibits tumor cell invasion in decellularized ECM from paclitaxel-treated livers. Overall, we show chemotherapy treatment alters the liver microenvironment, priming it as a pro-metastatic niche for cancer metastasis.
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Affiliation(s)
- Justinne R Guarin
- Department of Biomedical Engineering, Tufts University, Room 134, 200 College Ave, Medford, MA 20155, United States
| | - Jackson P Fatherree
- Department of Biomedical Engineering, Tufts University, Room 134, 200 College Ave, Medford, MA 20155, United States
| | - Madeleine J Oudin
- Department of Biomedical Engineering, Tufts University, Room 134, 200 College Ave, Medford, MA 20155, United States.
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Iman H, Benjamin A, Peyton K, Habbit NL, Ahmed B, Heslin MJ, Mobley JA, Greene MW, Lipke EA. Engineered colorectal cancer tissue recapitulates key attributes of a patient-derived xenograft tumor line. Biofabrication 2022; 14:10.1088/1758-5090/ac73b6. [PMID: 35617932 PMCID: PMC9822569 DOI: 10.1088/1758-5090/ac73b6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 05/26/2022] [Indexed: 01/11/2023]
Abstract
The development of physiologically relevantin vitrocolorectal cancer (CRC) models is vital for advancing understanding of tumor biology. Although CRC patient-derived xenografts (PDXs) recapitulate key patient tumor characteristics and demonstrate high concordance with clinical outcomes, the use of thisin vivomodel is costly and low-throughput. Here we report the establishment and in-depth characterization of anin vitrotissue-engineered CRC model using PDX cells. To form the 3D engineered CRC-PDX (3D-eCRC-PDX) tissues, CRC PDX tumors were expandedin vivo, dissociated, and the isolated cells encapsulated within PEG-fibrinogen hydrogels. Following PEG-fibrinogen encapsulation, cells remain viable and proliferate within 3D-eCRC-PDX tissues. Tumor cell subpopulations, including human cancer and mouse stromal cells, are maintained in long-term culture (29 days); cellular subpopulations increase ratiometrically over time. The 3D-eCRC-PDX tissues mimic the mechanical stiffness of originating tumors. Extracellular matrix protein production by cells in the 3D-eCRC-PDX tissues resulted in approximately 57% of proteins observed in the CRC-PDX tumors also being present in the 3D-eCRC-PDX tissues on day 22. Furthermore, we show congruence in enriched gene ontology molecular functions and Hallmark gene sets in 3D-eCRC-PDX tissues and CRC-PDX tumors compared to normal colon tissue, while prognostic Kaplan-Meier plots for overall and relapse free survival did not reveal significant differences between CRC-PDX tumors and 3D-eCRC-PDX tissues. Our results demonstrate high batch-to-batch consistency and strong correlation between ourin vitrotissue-engineered PDX-CRC model and the originatingin vivoPDX tumors, providing a foundation for future studies of disease progression and tumorigenic mechanisms.
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Affiliation(s)
- Hassani Iman
- Department of Chemical Engineering, Auburn University, Auburn, AL 36849, USA
| | - Anbiah Benjamin
- Department of Chemical Engineering, Auburn University, Auburn, AL 36849, USA
| | - Kuhlers Peyton
- Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL 36849, USA
| | - Nicole L. Habbit
- Department of Chemical Engineering, Auburn University, Auburn, AL 36849, USA
| | - Bulbul Ahmed
- Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL 36849, USA
| | - Martin J. Heslin
- Department of Surgery, University of Alabama at Birmingham, Birmingham, AL 35233, USA
| | - James A. Mobley
- Department of Anesthesiology and Perioperative Medicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35205-3703, USA,Division of Molecular and Translational Biomedicine, School of Medicine, University of Alabama at Birmingham, Birmingham, AL 35205-3703, USA
| | - Michael W. Greene
- Department of Nutrition, Dietetics, and Hospitality Management, Auburn University, Auburn, AL 36849, USA,Co-corresponding authors Elizabeth A. Lipke, , Michael W. Greene,
| | - Elizabeth A. Lipke
- Department of Chemical Engineering, Auburn University, Auburn, AL 36849, USA,Co-corresponding authors Elizabeth A. Lipke, , Michael W. Greene,
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Aparici Herraiz I, Caires HR, Castillo-Fernández Ó, Sima N, Méndez-Mora L, Risueño RM, Sattabongkot J, Roobsoong W, Hernández-Machado A, Fernandez-Becerra C, Barrias CC, del Portillo HA. Advancing Key Gaps in the Knowledge of Plasmodium vivax Cryptic Infections Using Humanized Mouse Models and Organs-on-Chips. Front Cell Infect Microbiol 2022; 12:920204. [PMID: 35873153 PMCID: PMC9302440 DOI: 10.3389/fcimb.2022.920204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
Plasmodium vivax is the most widely distributed human malaria parasite representing 36.3% of disease burden in the South-East Asia region and the most predominant species in the region of the Americas. Recent estimates indicate that 3.3 billion of people are under risk of infection with circa 7 million clinical cases reported each year. This burden is certainly underestimated as the vast majority of chronic infections are asymptomatic. For centuries, it has been widely accepted that the only source of cryptic parasites is the liver dormant stages known as hypnozoites. However, recent evidence indicates that niches outside the liver, in particular in the spleen and the bone marrow, can represent a major source of cryptic chronic erythrocytic infections. The origin of such chronic infections is highly controversial as many key knowledge gaps remain unanswered. Yet, as parasites in these niches seem to be sheltered from immune response and antimalarial drugs, research on this area should be reinforced if elimination of malaria is to be achieved. Due to ethical and technical considerations, working with the liver, bone marrow and spleen from natural infections is very difficult. Recent advances in the development of humanized mouse models and organs-on-a-chip models, offer novel technological frontiers to study human diseases, vaccine validation and drug discovery. Here, we review current data of these frontier technologies in malaria, highlighting major challenges ahead to study P. vivax cryptic niches, which perpetuate transmission and burden.
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Affiliation(s)
- Iris Aparici Herraiz
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic - Universitat de Barcelona, Barcelona, Spain
- Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain
| | - Hugo R. Caires
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
| | - Óscar Castillo-Fernández
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic - Universitat de Barcelona, Barcelona, Spain
- Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain
- Institute of Nanoscience and Nanotechnology (IN2UB), University of Barcelona, Barcelona, Spain
| | - Núria Sima
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic - Universitat de Barcelona, Barcelona, Spain
- Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain
| | - Lourdes Méndez-Mora
- Department of Condensed Matter Physics, University of Barcelona (UB), Barcelona, Spain
| | - Ruth M. Risueño
- Josep Carreras Leukaemia Research Institute (IJC), Barcelona, Spain
| | - Jetsumon Sattabongkot
- Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Wanlapa Roobsoong
- Mahidol Vivax Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Aurora Hernández-Machado
- Institute of Nanoscience and Nanotechnology (IN2UB), University of Barcelona, Barcelona, Spain
- Department of Condensed Matter Physics, University of Barcelona (UB), Barcelona, Spain
- Centre de Recerca Matemàtica (CRM), Barcelona, Spain
| | - Carmen Fernandez-Becerra
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic - Universitat de Barcelona, Barcelona, Spain
- Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain
| | - Cristina C. Barrias
- i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- INEB – Instituto de Engenharia Biomédica, Universidade do Porto, Porto, Portugal
- ICBAS – Instituto de Ciências Biomédicas de Abel Salazar, Universidade do Porto, Porto, Portugal
| | - Hernando A. del Portillo
- Barcelona Institute for Global Health (ISGlobal), Hospital Clínic - Universitat de Barcelona, Barcelona, Spain
- Institut d’Investigació en Ciències de la Salut Germans Trias i Pujol, Badalona, Spain
- Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
- *Correspondence: Hernando A. del Portillo,
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Sakoguchi A, Arase H. Mechanisms for Host Immune Evasion Mediated by Plasmodium falciparum-Infected Erythrocyte Surface Antigens. Front Immunol 2022; 13:901864. [PMID: 35784341 PMCID: PMC9240312 DOI: 10.3389/fimmu.2022.901864] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 05/10/2022] [Indexed: 12/20/2022] Open
Abstract
Plasmodium falciparum infection causes the most severe form of malaria. It has been hypothesized that P. falciparum directly suppresses host immune responses because sufficient acquired immunity is often not induced even by repeated P. falciparum infections in malaria-endemic areas. It is known that many kinds of P. falciparum-derived proteins are expressed on the surface of P. falciparum-infected erythrocytes (IEs), and these proteins have long been thought to be a key to the elucidation of the host immune evasion mechanisms. Our recent studies have revealed that the P. falciparum-derived erythrocyte surface antigen, RIFIN, the largest multiple gene family protein in the P. falciparum genome, suppresses host immune cell activation through direct interaction with human inhibitory immune receptors. In this review, we will discuss the molecular mechanisms for host immune evasion by P. falciparum-infected erythrocyte surface antigens. In addition, we will discuss the recently identified host immune response to P. falciparum using specialized antibodies that target host-P. falciparum-derived molecule interactions.
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Affiliation(s)
- Akihito Sakoguchi
- Department of Molecular Protozoology, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
| | - Hisashi Arase
- Department of Immunochemistry, Research Institute for Microbial Diseases, Osaka University, Suita, Japan
- Laboratory of Immunochemistry, WPI Immunology Frontier Research Center, Osaka University, Suita, Japan
- Center for Infectious Disease Education and Research, Osaka University, Suita, Japan
- *Correspondence: Hisashi Arase,
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36
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Wong GYM, Diakos C, Hugh TJ, Molloy MP. Proteomic Profiling and Biomarker Discovery in Colorectal Liver Metastases. Int J Mol Sci 2022; 23:ijms23116091. [PMID: 35682769 PMCID: PMC9181741 DOI: 10.3390/ijms23116091] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 05/27/2022] [Accepted: 05/27/2022] [Indexed: 12/14/2022] Open
Abstract
Colorectal liver metastases (CRLM) are the leading cause of death among patients with metastatic colorectal cancer (CRC). As part of multimodal therapy, liver resection is the mainstay of curative-intent treatment for select patients with CRLM. However, effective treatment of CRLM remains challenging as recurrence occurs in most patients after liver resection. Proposed clinicopathologic factors for predicting recurrence are inconsistent and lose prognostic significance over time. The rapid development of next-generation sequencing technologies and decreasing DNA sequencing costs have accelerated the genomic profiling of various cancers. The characterisation of genomic alterations in CRC has significantly improved our understanding of its carcinogenesis. However, the functional context at the protein level has not been established for most of this genomic information. Furthermore, genomic alterations do not always result in predicted changes in the corresponding proteins and cancer phenotype, while post-transcriptional and post-translational regulation may alter synthesised protein levels, affecting phenotypes. More recent advancements in mass spectrometry-based technology enable accurate protein quantitation and comprehensive proteomic profiling of cancers. Several studies have explored proteomic biomarkers for predicting CRLM after oncologic resection of primary CRC and recurrence after curative-intent resection of CRLM. The current review aims to rationalise the proteomic complexity of CRC and explore the potential applications of proteomic biomarkers in CRLM.
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Affiliation(s)
- Geoffrey Yuet Mun Wong
- Department of Upper Gastrointestinal Surgery, Royal North Shore Hospital, Sydney, NSW 2065, Australia;
- Northern Clinical School, The University of Sydney, Sydney, NSW 2065, Australia;
- Correspondence:
| | - Connie Diakos
- Northern Clinical School, The University of Sydney, Sydney, NSW 2065, Australia;
- Department of Medical Oncology, Royal North Shore Hospital, Sydney, NSW 2065, Australia
| | - Thomas J. Hugh
- Department of Upper Gastrointestinal Surgery, Royal North Shore Hospital, Sydney, NSW 2065, Australia;
- Northern Clinical School, The University of Sydney, Sydney, NSW 2065, Australia;
| | - Mark P. Molloy
- Bowel Cancer and Biomarker Research Laboratory, Faculty of Medicine and Health, School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia;
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Moffat D, Ye K, Jin S. Decellularization for the retention of tissue niches. J Tissue Eng 2022; 13:20417314221101151. [PMID: 35620656 PMCID: PMC9128068 DOI: 10.1177/20417314221101151] [Citation(s) in RCA: 41] [Impact Index Per Article: 20.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 05/01/2022] [Indexed: 12/25/2022] Open
Abstract
Decellularization of natural tissues to produce extracellular matrix is a promising method for three-dimensional scaffolding and for understanding microenvironment of the tissue of interest. Due to the lack of a universal standard protocol for tissue decellularization, recent investigations seek to develop novel methods for whole or partial organ decellularization capable of supporting cell differentiation and implantation towards appropriate tissue regeneration. This review provides a comprehensive and updated perspective on the most recent advances in decellularization strategies for a variety of organs and tissues, highlighting techniques of chemical, physical, biological, enzymatic, or combinative-based methods to remove cellular contents from tissues. In addition, the review presents modernized approaches for improving standard decellularization protocols for numerous organ types.
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Affiliation(s)
- Deana Moffat
- Department of Biomedical Engineering, Binghamton University, State University of New York (SUNY), Binghamton, NY, USA
| | - Kaiming Ye
- Department of Biomedical Engineering, Binghamton University, State University of New York (SUNY), Binghamton, NY, USA
- Center of Biomanufacturing for Regenerative Medicine, Binghamton University, State University of New York (SUNY), Binghamton, NY, USA
| | - Sha Jin
- Department of Biomedical Engineering, Binghamton University, State University of New York (SUNY), Binghamton, NY, USA
- Center of Biomanufacturing for Regenerative Medicine, Binghamton University, State University of New York (SUNY), Binghamton, NY, USA
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Jayadev R, Morais MRPT, Ellingford JM, Srinivasan S, Naylor RW, Lawless C, Li AS, Ingham JF, Hastie E, Chi Q, Fresquet M, Koudis NM, Thomas HB, O’Keefe RT, Williams E, Adamson A, Stuart HM, Banka S, Smedley D, Sherwood DR, Lennon R. A basement membrane discovery pipeline uncovers network complexity, regulators, and human disease associations. SCIENCE ADVANCES 2022; 8:eabn2265. [PMID: 35584218 PMCID: PMC9116610 DOI: 10.1126/sciadv.abn2265] [Citation(s) in RCA: 68] [Impact Index Per Article: 34.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/12/2021] [Accepted: 03/22/2022] [Indexed: 05/17/2023]
Abstract
Basement membranes (BMs) are ubiquitous extracellular matrices whose composition remains elusive, limiting our understanding of BM regulation and function. By developing a bioinformatic and in vivo discovery pipeline, we define a network of 222 human proteins and their animal orthologs localized to BMs. Network analysis and screening in C. elegans and zebrafish uncovered BM regulators, including ADAMTS, ROBO, and TGFβ. More than 100 BM network genes associate with human phenotypes, and by screening 63,039 genomes from families with rare disorders, we found loss-of-function variants in LAMA5, MPZL2, and MATN2 and show that they regulate BM composition and function. This cross-disciplinary study establishes the immense complexity of BMs and their impact on in human health.
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Affiliation(s)
- Ranjay Jayadev
- Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA
| | - Mychel R. P. T. Morais
- Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Jamie M. Ellingford
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WL, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Sandhya Srinivasan
- Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA
| | - Richard W. Naylor
- Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Craig Lawless
- Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Anna S. Li
- Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Jack F. Ingham
- Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Eric Hastie
- Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA
| | - Qiuyi Chi
- Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA
| | - Maryline Fresquet
- Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Nikki-Maria Koudis
- Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Huw B. Thomas
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Raymond T. O’Keefe
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Emily Williams
- Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Antony Adamson
- Genome Editing Unit Core Facility, Faculty of Biology, Medicine and Health, University of Manchester, Manchester M13 9PT, UK
| | - Helen M. Stuart
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WL, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Siddharth Banka
- Manchester Centre for Genomic Medicine, Manchester University Hospitals NHS Foundation Trust, Manchester M13 9WL, UK
- Division of Evolution and Genomic Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
| | - Damian Smedley
- William Harvey Research Institute, Charterhouse Square, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK
| | - Genomics England Research Consortium
- William Harvey Research Institute, Charterhouse Square, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, EC1M 6BQ London, UK
- Genomics England, London, UK
| | - David R. Sherwood
- Department of Biology, Duke University, Box 90338, Durham, NC 27708, USA
| | - Rachel Lennon
- Wellcome Centre for Cell-Matrix Research, Division of Cell-Matrix Biology and Regenerative Medicine, School of Biological Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester M13 9PT, UK
- Department of Paediatric Nephrology, Royal Manchester Children’s Hospital, Manchester University Hospitals NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester M13 9WL, UK
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Karlsson S, Nyström H. The extracellular matrix in colorectal cancer and its metastatic settling – alterations and biological implications. Crit Rev Oncol Hematol 2022; 175:103712. [DOI: 10.1016/j.critrevonc.2022.103712] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2021] [Revised: 05/05/2022] [Accepted: 05/11/2022] [Indexed: 12/12/2022] Open
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40
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High Dual Expression of the Biomarkers CD44v6/α2β1 and CD44v6/PD-L1 Indicate Early Recurrence after Colorectal Hepatic Metastasectomy. Cancers (Basel) 2022; 14:cancers14081939. [PMID: 35454846 PMCID: PMC9027562 DOI: 10.3390/cancers14081939] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2022] [Revised: 03/28/2022] [Accepted: 04/07/2022] [Indexed: 11/17/2022] Open
Abstract
Considering the biology of CRC, distant metastases might support the identification of high-risk patients for early recurrence and targeted therapy. Expression of a panel of druggable, metastasis-related biomarkers was immunohistochemically analyzed in 53 liver (LM) and 15 lung metastases (LuM) and correlated with survival. Differential expression between LM and LuM was observed for the growth factor receptors IGF1R (LuM 92.3% vs. LM 75.8%, p = 0.013), EGFR (LuM 68% vs. LM 41.5%, p = 0.004), the cell adhesion molecules CD44v6 (LuM 55.7% vs. LM 34.9%, p = 0.019) and α2β1 (LuM 88.3% vs. LM 58.5%, p = 0.001) and the check point molecule PD-L1 (LuM 6.1% vs. LM 3.3%, p = 0.005). Contrary, expression of HGFR, Hsp90, Muc1, Her2/neu, ERα and PR was comparable in LuM and LM. In the LM cohort (n = 52), a high CD44v6 expression was identified as an independent factor of poor prognosis (PFS: HR 2.37, 95% CI 1.18-4.78, p = 0.016). High co-expression of CD44v6/α2β1 (HR 4.14, 95% CI 1.65-10.38, p = 0.002) and CD44v6/PD-L1 (HR 2.88, 95% CI 1.21-6.85, p = 0.017) indicated early recurrence after hepatectomy, in a substantial number of patients (CD44v6/α2β1: 11 (21.15%) patients; CD44v6/PD-L1: 12 (23.1%) patients). Dual expression of druggable protein biomarkers may refine prognostic prediction and stratify high-risk patients for new therapeutic concepts, depending on the metastatic location.
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Barnum CE, Shetye SS, Fazelinia H, Garcia BA, Fang S, Alzamora M, Li H, Brown LM, Tang C, Myers K, Wapner R, Soslowsky LJ, Vink JY. The Non-pregnant and Pregnant Human Cervix: a Systematic Proteomic Analysis. Reprod Sci 2022; 29:1542-1559. [PMID: 35266109 DOI: 10.1007/s43032-022-00892-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2021] [Accepted: 02/13/2022] [Indexed: 10/18/2022]
Abstract
Appropriate timing of cervical remodeling (CR) is key to normal term parturition. To date, mechanisms behind normal and abnormal (premature or delayed) CR remain unclear. Recent studies show regional differences exist in human cervical tissue structure. While the entire cervix contains extracellular matrix (ECM), the internal os is highly cellular containing 50-60% cervical smooth muscle (CSM). The external os contains 10-20% CSM. Previously, we reported ECM rigidity and different ECM proteins influence CSM cell function, highlighting the importance of understanding not only how cervical cells orchestrate cervical ECM remodeling in pregnancy, but also how changes in specific ECM proteins can influence resident cellular function. To understand this dynamic process, we utilized a systematic proteomic approach to understand which soluble ECM and cellular proteins exist in the different regions of the human cervix and how the proteomic profiles change from the non-pregnant (NP) to the pregnant (PG) state. We found the human cervix proteome contains at least 4548 proteins and establish the types and relative abundance of cellular and soluble matrisome proteins found in the NP and PG human cervix. Further, we report the relative abundance of proteins involved with elastic fiber formation and ECM organization/degradation were significantly increased while proteins involved in RNA polymerase I/promoter opening, DNA methylation, senescence, immune system, and compliment activation were decreased in the PG compared to NP cervix. These findings establish an initial platform from which we can further comprehend how changes in the human cervix proteome results in normal and abnormal CR.
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Affiliation(s)
- Carrie E Barnum
- McKay Orthopedic Research Laboratory, University of Pennsylvania, Philadelphia, PA, USA
| | - Snehal S Shetye
- McKay Orthopedic Research Laboratory, University of Pennsylvania, Philadelphia, PA, USA
| | - Hossein Fazelinia
- Department of Biomedical and Health Informatics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Benjamin A Garcia
- Epigenetics Program, Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Shuyang Fang
- Department of Mechanical Engineering, Columbia University, New York, NY, USA
| | - Maria Alzamora
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
| | - Hongyu Li
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
| | - Lewis M Brown
- Quantitative Proteomics and Metabolomics Center, Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Chuanning Tang
- Quantitative Proteomics and Metabolomics Center, Department of Biological Sciences, Columbia University, New York, NY, USA
| | - Kristin Myers
- Department of Mechanical Engineering, Columbia University, New York, NY, USA
| | - Ronald Wapner
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA
| | - Louis J Soslowsky
- McKay Orthopedic Research Laboratory, University of Pennsylvania, Philadelphia, PA, USA
| | - Joy Y Vink
- Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, NY, USA. .,Preterm Birth Prevention Center, Columbia University Irving Medical Center, New York, NY, USA.
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42
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Moreira AM, Ferreira RM, Carneiro P, Figueiredo J, Osório H, Barbosa J, Preto J, Pinto-do-Ó P, Carneiro F, Seruca R. Proteomic Identification of a Gastric Tumor ECM Signature Associated With Cancer Progression. Front Mol Biosci 2022; 9:818552. [PMID: 35340765 PMCID: PMC8942767 DOI: 10.3389/fmolb.2022.818552] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2021] [Accepted: 01/18/2022] [Indexed: 12/12/2022] Open
Abstract
The extracellular matrix (ECM) plays an undisputable role in tissue homeostasis and its deregulation leads to altered mechanical and biochemical cues that impact cancer development and progression. Herein, we undertook a novel approach to address the role of gastric ECM in tumorigenesis, which remained largely unexplored. By combining decellularization techniques with a high-throughput quantitative proteomics approach, we have performed an extensive characterization of human gastric mucosa, uncovering its composition and distribution among tumor, normal adjacent and normal distant mucosa. Our results revealed a common ECM signature composed of 142 proteins and indicated that gastric carcinogenesis encompasses ECM remodeling through alterations in the abundance of 24 components, mainly basement membrane proteins. Indeed, we could only identify one de novo tumor-specific protein, the collagen alpha-1(X) chain (COL10A1). Functional analysis of the data demonstrated that gastric ECM remodeling favors tumor progression by activating ECM receptors and cellular processes involved in angiogenesis and cell-extrinsic metabolic regulation. By analyzing mRNA expression in an independent GC cohort available at the TGCA, we validated the expression profile of 12 differentially expressed ECM proteins. Importantly, the expression of COL1A2, LOX and LTBP2 significantly correlated with high tumor stage, with LOX and LTBP2 further impacting patient overall survival. These findings contribute for a better understanding of GC biology and highlight the role of core ECM components in gastric carcinogenesis and their clinical relevance as biomarkers of disease prognosis.
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Affiliation(s)
- Ana M. Moreira
- i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Doctoral Program on Cellular and Molecular Biotechnology Applied to Health Sciences, School of Medicine and Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Rui M. Ferreira
- i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
| | - Patrícia Carneiro
- i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
| | - Joana Figueiredo
- i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
| | - Hugo Osório
- i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
| | - José Barbosa
- Faculty of Medicine, University of Porto, Porto, Portugal
- Department of General Surgery, Centro Hospitalar Universitário de São João, Porto, Portugal
| | - John Preto
- Faculty of Medicine, University of Porto, Porto, Portugal
- Department of General Surgery, Centro Hospitalar Universitário de São João, Porto, Portugal
| | - Perpétua Pinto-do-Ó
- i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Institute of Biomedical Engineering (INEB), University of Porto, Porto, Portugal
- School of Medicine and Biomedical Sciences Abel Salazar (ICBAS), University of Porto, Porto, Portugal
| | - Fátima Carneiro
- i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
- Department of Pathology, Centro Hospitalar Universitário de São João, Porto, Portugal
| | - Raquel Seruca
- i3S—Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Porto, Portugal
- Institute of Molecular Pathology and Immunology of the University of Porto (IPATIMUP), Porto, Portugal
- Faculty of Medicine, University of Porto, Porto, Portugal
- *Correspondence: Raquel Seruca,
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Nicolas AM, Pesic M, Engel E, Ziegler PK, Diefenhardt M, Kennel KB, Buettner F, Conche C, Petrocelli V, Elwakeel E, Weigert A, Zinoveva A, Fleischmann M, Häupl B, Karakütük C, Bohnenberger H, Mosa MH, Kaderali L, Gaedcke J, Ghadimi M, Rödel F, Arkan MC, Oellerich T, Rödel C, Fokas E, Greten FR. Inflammatory fibroblasts mediate resistance to neoadjuvant therapy in rectal cancer. Cancer Cell 2022; 40:168-184.e13. [PMID: 35120600 DOI: 10.1016/j.ccell.2022.01.004] [Citation(s) in RCA: 124] [Impact Index Per Article: 62.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/12/2021] [Accepted: 01/11/2022] [Indexed: 12/14/2022]
Abstract
Standard cancer therapy targets tumor cells without considering possible damage on the tumor microenvironment that could impair therapy response. In rectal cancer patients we find that inflammatory cancer-associated fibroblasts (iCAFs) are associated with poor chemoradiotherapy response. Employing a murine rectal cancer model or patient-derived tumor organoids and primary stroma cells, we show that, upon irradiation, interleukin-1α (IL-1α) not only polarizes cancer-associated fibroblasts toward the inflammatory phenotype but also triggers oxidative DNA damage, thereby predisposing iCAFs to p53-mediated therapy-induced senescence, which in turn results in chemoradiotherapy resistance and disease progression. Consistently, IL-1 inhibition, prevention of iCAFs senescence, or senolytic therapy sensitizes mice to irradiation, while lower IL-1 receptor antagonist serum levels in rectal patients correlate with poor prognosis. Collectively, we unravel a critical role for iCAFs in rectal cancer therapy resistance and identify IL-1 signaling as an attractive target for stroma-repolarization and prevention of cancer-associated fibroblasts senescence.
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Affiliation(s)
- Adele M Nicolas
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Marina Pesic
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Esther Engel
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; Department of Radiotherapy and Oncology, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Paul K Ziegler
- Dr. Senckenberg Institute of Pathology, University Hospital Frankfurt, Frankfurt/Main, Germany
| | - Markus Diefenhardt
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; Department of Radiotherapy and Oncology, Goethe University Frankfurt, Frankfurt/Main, Germany; University Cancer Center Frankfurt Marburg (UCT), University Hospital Frankfurt, Frankfurt/Main, Germany
| | - Kilian B Kennel
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Florian Buettner
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Department of Medicine, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Claire Conche
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Valentina Petrocelli
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Eiman Elwakeel
- Institute of Biochemistry I, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Andreas Weigert
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; Institute of Biochemistry I, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Anna Zinoveva
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Maximilian Fleischmann
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; Department of Radiotherapy and Oncology, Goethe University Frankfurt, Frankfurt/Main, Germany; University Cancer Center Frankfurt Marburg (UCT), University Hospital Frankfurt, Frankfurt/Main, Germany
| | - Björn Häupl
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Department of Medicine, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Cem Karakütük
- Institute of Pathology, University Medical Center, Göttingen, Germany
| | | | - Mohammed H Mosa
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Lars Kaderali
- Institute of Bioinformatics, University Medicine Greifswald, Greifswald, Germany
| | - Jochen Gaedcke
- Department of Surgery, University Medical Center, Göttingen, Germany
| | - Michael Ghadimi
- Department of Surgery, University Medical Center, Göttingen, Germany
| | - Franz Rödel
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; Department of Radiotherapy and Oncology, Goethe University Frankfurt, Frankfurt/Main, Germany; University Cancer Center Frankfurt Marburg (UCT), University Hospital Frankfurt, Frankfurt/Main, Germany
| | - Melek C Arkan
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Thomas Oellerich
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany; Department of Medicine, Goethe University Frankfurt, Frankfurt/Main, Germany
| | - Claus Rödel
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; Department of Radiotherapy and Oncology, Goethe University Frankfurt, Frankfurt/Main, Germany; University Cancer Center Frankfurt Marburg (UCT), University Hospital Frankfurt, Frankfurt/Main, Germany; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Emmanouil Fokas
- Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; Department of Radiotherapy and Oncology, Goethe University Frankfurt, Frankfurt/Main, Germany; University Cancer Center Frankfurt Marburg (UCT), University Hospital Frankfurt, Frankfurt/Main, Germany; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
| | - Florian R Greten
- Institute for Tumor Biology and Experimental Therapy, Georg-Speyer-Haus, 60596 Frankfurt/Main, Germany; Frankfurt Cancer Institute, Goethe University Frankfurt, Frankfurt/Main, Germany; German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany.
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44
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Dussoyer M, Page A, Delolme F, Rousselle P, Nyström A, Moali C. Comparison of extracellular matrix enrichment protocols for the improved characterization of the skin matrisome by mass spectrometry. J Proteomics 2022; 251:104397. [PMID: 34678517 DOI: 10.1016/j.jprot.2021.104397] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2021] [Revised: 09/23/2021] [Accepted: 10/03/2021] [Indexed: 12/14/2022]
Abstract
A striking feature of skin organization is that the extracellular matrix (ECM) occupies a larger volume than the cells. Skin ECM also directly contributes to aging and most cutaneous diseases. In recent years, specific ECM enrichment protocols combined with in silico approaches allowed the proteomic description of the matrisome of various organs and tumor samples. Nevertheless, the skin matrisome remains under-studied and protocols allowing the efficient recovery of the diverse ECM found in skin are still to be described. Here, we compared four protocols allowing the enrichment of ECM proteins from adult mouse back skin and found that all protocols led to a significant enrichment (up to 65%) of matrisome proteins when compared to total skin lysates. The protocols based on decellularization and solubility profiling gave the best results in terms of numbers of proteins identified and confirmed that skin matrisome proteins exhibit very diverse solubility and abundance profiles. We also report the first description of the skin matrisome of healthy adult mice that includes 236 proteins comprising 95 core matrisome proteins and 141 associated matrisome proteins. These results provide a reliable basis for future characterizations of skin ECM proteins and their dysregulations in disease-specific contexts. SIGNIFICANCE: Extracellular matrix proteins are key players in skin physiopathology and have been involved in several diseases such as genetic disorders, wound healing defects, scleroderma and skin carcinoma. However, skin ECM proteins are numerous, diverse and challenging to analyze by mass spectrometry due to the multiplicity of their post-translational modifications and to the heterogeneity of their solubility profiles. Here, we performed the thorough evaluation of four ECM enrichment protocols compatible with the proteomic analysis of mouse back skin and provide the first description of the adult mouse skin matrisome in homeostasis conditions. Our work will greatly facilitate the future characterization of skin ECM alterations in preclinical mouse models and will inspire new optimizations to analyze the skin matrisome of other species and of human clinical samples.
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Affiliation(s)
- Mélissa Dussoyer
- University of Lyon, CNRS, Tissue Biology and Therapeutic Engineering Laboratory, LBTI, UMR5305, F-69367 Lyon, France
| | - Adeline Page
- University of Lyon, INSERM, ENS Lyon, CNRS, Protein Science Facility, SFR BioSciences, UAR3444/US8, F-69366 Lyon, France
| | - Frédéric Delolme
- University of Lyon, INSERM, ENS Lyon, CNRS, Protein Science Facility, SFR BioSciences, UAR3444/US8, F-69366 Lyon, France
| | - Patricia Rousselle
- University of Lyon, CNRS, Tissue Biology and Therapeutic Engineering Laboratory, LBTI, UMR5305, F-69367 Lyon, France
| | - Alexander Nyström
- Department of Clinical Dermatology/Medical Center, University of Freiburg, Freiburg, Germany; Freiburg Institute for Advanced Studies (FRIAS), University of Freiburg, Freiburg, Germany
| | - Catherine Moali
- University of Lyon, CNRS, Tissue Biology and Therapeutic Engineering Laboratory, LBTI, UMR5305, F-69367 Lyon, France.
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45
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Marques-Magalhães Â, Cruz T, Costa ÂM, Estêvão D, Rios E, Canão PA, Velho S, Carneiro F, Oliveira MJ, Cardoso AP. Decellularized Colorectal Cancer Matrices as Bioactive Scaffolds for Studying Tumor-Stroma Interactions. Cancers (Basel) 2022; 14:cancers14020359. [PMID: 35053521 PMCID: PMC8773780 DOI: 10.3390/cancers14020359] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2021] [Revised: 01/02/2022] [Accepted: 01/06/2022] [Indexed: 12/12/2022] Open
Abstract
More than a physical structure providing support to tissues, the extracellular matrix (ECM) is a complex and dynamic network of macromolecules that modulates the behavior of both cancer cells and associated stromal cells of the tumor microenvironment (TME). Over the last few years, several efforts have been made to develop new models that accurately mimic the interconnections within the TME and specifically the biomechanical and biomolecular complexity of the tumor ECM. Particularly in colorectal cancer, the ECM is highly remodeled and disorganized and constitutes a key component that affects cancer hallmarks, such as cell differentiation, proliferation, angiogenesis, invasion and metastasis. Therefore, several scaffolds produced from natural and/or synthetic polymers and ceramics have been used in 3D biomimetic strategies for colorectal cancer research. Nevertheless, decellularized ECM from colorectal tumors is a unique model that offers the maintenance of native ECM architecture and molecular composition. This review will focus on innovative and advanced 3D-based models of decellularized ECM as high-throughput strategies in colorectal cancer research that potentially fill some of the gaps between in vitro 2D and in vivo models. Our aim is to highlight the need for strategies that accurately mimic the TME for precision medicine and for studying the pathophysiology of the disease.
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Affiliation(s)
- Ângela Marques-Magalhães
- i3S-Institute for Research and Innovation in Health, University of Porto, 4200-135 Porto, Portugal; (Â.M.-M.); (T.C.); (Â.M.C.); (D.E.); (E.R.); (S.V.); (F.C.); (M.J.O.)
- INEB-Institute of Biomedical Engineering, University of Porto, 4200-135 Porto, Portugal
- ICBAS-School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal
| | - Tânia Cruz
- i3S-Institute for Research and Innovation in Health, University of Porto, 4200-135 Porto, Portugal; (Â.M.-M.); (T.C.); (Â.M.C.); (D.E.); (E.R.); (S.V.); (F.C.); (M.J.O.)
- INEB-Institute of Biomedical Engineering, University of Porto, 4200-135 Porto, Portugal
| | - Ângela Margarida Costa
- i3S-Institute for Research and Innovation in Health, University of Porto, 4200-135 Porto, Portugal; (Â.M.-M.); (T.C.); (Â.M.C.); (D.E.); (E.R.); (S.V.); (F.C.); (M.J.O.)
- INEB-Institute of Biomedical Engineering, University of Porto, 4200-135 Porto, Portugal
| | - Diogo Estêvão
- i3S-Institute for Research and Innovation in Health, University of Porto, 4200-135 Porto, Portugal; (Â.M.-M.); (T.C.); (Â.M.C.); (D.E.); (E.R.); (S.V.); (F.C.); (M.J.O.)
- INEB-Institute of Biomedical Engineering, University of Porto, 4200-135 Porto, Portugal
- ICBAS-School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal
| | - Elisabete Rios
- i3S-Institute for Research and Innovation in Health, University of Porto, 4200-135 Porto, Portugal; (Â.M.-M.); (T.C.); (Â.M.C.); (D.E.); (E.R.); (S.V.); (F.C.); (M.J.O.)
- IPATIMUP-Institute of Pathology and Molecular Immunology, University of Porto, 4200-135 Porto, Portugal
- Department of Pathology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal;
- Department of Pathology, Centro Hospitalar Universitário São João, 4200-319 Porto, Portugal
| | - Pedro Amoroso Canão
- Department of Pathology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal;
- Department of Pathology, Centro Hospitalar Universitário São João, 4200-319 Porto, Portugal
| | - Sérgia Velho
- i3S-Institute for Research and Innovation in Health, University of Porto, 4200-135 Porto, Portugal; (Â.M.-M.); (T.C.); (Â.M.C.); (D.E.); (E.R.); (S.V.); (F.C.); (M.J.O.)
- IPATIMUP-Institute of Pathology and Molecular Immunology, University of Porto, 4200-135 Porto, Portugal
| | - Fátima Carneiro
- i3S-Institute for Research and Innovation in Health, University of Porto, 4200-135 Porto, Portugal; (Â.M.-M.); (T.C.); (Â.M.C.); (D.E.); (E.R.); (S.V.); (F.C.); (M.J.O.)
- IPATIMUP-Institute of Pathology and Molecular Immunology, University of Porto, 4200-135 Porto, Portugal
- Department of Pathology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal;
- Department of Pathology, Centro Hospitalar Universitário São João, 4200-319 Porto, Portugal
| | - Maria José Oliveira
- i3S-Institute for Research and Innovation in Health, University of Porto, 4200-135 Porto, Portugal; (Â.M.-M.); (T.C.); (Â.M.C.); (D.E.); (E.R.); (S.V.); (F.C.); (M.J.O.)
- INEB-Institute of Biomedical Engineering, University of Porto, 4200-135 Porto, Portugal
- ICBAS-School of Medicine and Biomedical Sciences, University of Porto, 4050-313 Porto, Portugal
- Department of Pathology, Faculty of Medicine, University of Porto, 4200-319 Porto, Portugal;
| | - Ana Patrícia Cardoso
- i3S-Institute for Research and Innovation in Health, University of Porto, 4200-135 Porto, Portugal; (Â.M.-M.); (T.C.); (Â.M.C.); (D.E.); (E.R.); (S.V.); (F.C.); (M.J.O.)
- INEB-Institute of Biomedical Engineering, University of Porto, 4200-135 Porto, Portugal
- Correspondence: ; Tel.: +351-22-607-4900
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Dibdiakova K, Svec A, Majercikova Z, Adamik M, Grendar M, Vana J, Ferko A, Hatok J. Associations between matrix metalloproteinase, tissue inhibitor of metalloproteinase and collagen expression levels in the adjacent rectal tissue of colorectal carcinoma patients. Mol Clin Oncol 2022; 16:41. [PMID: 35003739 PMCID: PMC8739078 DOI: 10.3892/mco.2021.2475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Accepted: 08/23/2021] [Indexed: 11/24/2022] Open
Abstract
As the commonest type of cancer in Europe and the third most common type of cancer worldwide, colorectal carcinoma (CRC) poses a challenge for numerous scientific studies. At present, the cause of this disease is remains to be elucidated, but early diagnosis is only one solution to prevent serious health complications. As a structural scaffold, the extracellular matrix (ECM) is in direct contact with tumour cells and significantly interferes with tumour progression. During the process of tumorigenesis, the ECM undergoes structural changes in which collagens serve an important role. Their life cycle is regulated by proteolytic enzymes called matrix metalloproteinases (MMPs), which are controlled by tissue inhibitors of metalloproteinases (TIMPs). The present study analysed the gene expression of MMPs (MMP1-2-8-10-13), TIMPs (TIMP1-2-4) and collagens (COL1A1 and COL3A1) and the correlation with biochemical parameters in the adjacent rectal tissue (ART) of patients with CRC. The patients who underwent standard neoadjuvant pre-therapy showed increased concentrations of collagen in the normal ART. The mRNA levels of COL3A1, TIMP1 and TIMP2 were significantly higher in the ART of CRC patients (with or without pre-therapy) when compared with the control group. This finding suggested that TIMPs served an important role in the regulation of MMPs and in the modification of collagen content in the ECM. Despite the small data set, the present study provided insights into the transcriptomic relationships between the individual genes that are an integral part of the ECM.
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Affiliation(s)
- Katarina Dibdiakova
- Department of Medical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, SK-03601 Martin, Slovakia
| | - Adam Svec
- Department of Surgery and Transplant Centre, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, SK-03601 Martin, Slovakia
| | - Zuzana Majercikova
- Department of Medical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, SK-03601 Martin, Slovakia
| | - Marek Adamik
- Department of Surgery and Transplant Centre, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, SK-03601 Martin, Slovakia
| | - Marian Grendar
- Department of Biomedical Center Martin, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, SK-03601 Martin, Slovakia
| | - Juraj Vana
- Department of Surgery, The Faculty Hospital, SK-01207 Zilina, Slovakia
| | - Alexander Ferko
- Department of Surgery and Transplant Centre, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, SK-03601 Martin, Slovakia
| | - Jozef Hatok
- Department of Medical Biochemistry, Jessenius Faculty of Medicine in Martin, Comenius University in Bratislava, SK-03601 Martin, Slovakia
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Han H, Park Y, Choi Y, Yong U, Kang B, Shin W, Min S, Kim HJ, Jang J. A Bioprinted Tubular Intestine Model Using a Colon-Specific Extracellular Matrix Bioink. Adv Healthc Mater 2022; 11:e2101768. [PMID: 34747158 DOI: 10.1002/adhm.202101768] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Revised: 10/16/2021] [Indexed: 12/11/2022]
Abstract
Tremendous advances have been made toward accurate recapitulation of the human intestinal system in vitro to understand its developmental process, and disease progression. However, current in vitro models are often confined to 2D or 2.5D microarchitectures, which is difficult to mimic the systemic level of complexity of the native tissue. To overcome this problem, physiologically relevant intestinal models are developed with a 3D hollow tubular structure using 3D bioprinting strategy. A tissue-specific biomaterial, colon-derived decellularized extracellular matrix (Colon dECM) is developed and it provides significant maturation-guiding potential to human intestinal cells. To fabricate a perfusable tubular model, a simultaneous printing process of multiple materials through concentrically assembled nozzles is developed and a light-activated Colon dECM bioink is employed by supplementing with ruthenium/sodium persulfate as a photoinitiator. The bioprinted intestinal tissue models show spontaneous 3D morphogenesis of the human intestinal epithelium without any external stimuli. In consequence, the printed cells form multicellular aggregates and cysts and then differentiate into several types of enterocytes, building junctional networks. This system can serve as a platform to evaluate the effects of potential drug-induced toxicity on the human intestinal tissue and create a coculture model with commensal microbes and immune cells for future therapeutics.
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Affiliation(s)
- Hohyeon Han
- School of Interdisciplinary Bioscience and Bioengineering Pohang University of Science and Technology (POSTECH) Pohang Kyungbuk 37673 Korea
| | - Yejin Park
- Department of Convergence IT Engineering POSTECH Pohang Kyungbuk 37673 Korea
| | - Yoo‐mi Choi
- Department of Convergence IT Engineering POSTECH Pohang Kyungbuk 37673 Korea
| | - Uijung Yong
- Department of Convergence IT Engineering POSTECH Pohang Kyungbuk 37673 Korea
| | - Byeongmin Kang
- Department of Convergence IT Engineering POSTECH Pohang Kyungbuk 37673 Korea
| | - Woojung Shin
- Department of Biomedical Engineering The University of Texas at Austin Austin TX 78712 USA
- Department of Oncology Dell Medical School The University of Texas at Austin Austin TX 78712 USA
| | - Soyoun Min
- Department of Biomedical Engineering The University of Texas at Austin Austin TX 78712 USA
- Department of Oncology Dell Medical School The University of Texas at Austin Austin TX 78712 USA
| | - Hyun Jung Kim
- Department of Biomedical Engineering The University of Texas at Austin Austin TX 78712 USA
- Department of Oncology Dell Medical School The University of Texas at Austin Austin TX 78712 USA
| | - Jinah Jang
- School of Interdisciplinary Bioscience and Bioengineering Pohang University of Science and Technology (POSTECH) Pohang Kyungbuk 37673 Korea
- Department of Convergence IT Engineering POSTECH Pohang Kyungbuk 37673 Korea
- Department of Mechanical Engineering POSTECH Pohang Kyungbuk 37673 Korea
- Institute of Convergence Science Yonsei University Seoul 03722 Korea
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Cai J, Zhang X, Xie W, Li Z, Liu W, Liu A. Identification of a basement membrane-related gene signature for predicting prognosis and estimating the tumor immune microenvironment in breast cancer. Front Endocrinol (Lausanne) 2022; 13:1065530. [PMID: 36531485 PMCID: PMC9751030 DOI: 10.3389/fendo.2022.1065530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/09/2022] [Accepted: 11/11/2022] [Indexed: 12/05/2022] Open
Abstract
INTRODUCTION Breast cancer (BC) is the most common malignancy in the world and has a high cancer-related mortality rate. Basement membranes (BMs) guide cell polarity, differentiation, migration and survival, and their functions are closely related to tumor diseases. However, few studies have focused on the association of basement membrane-related genes (BMRGs) with BC. This study aimed to explore the prognostic features of BMRGs in BC and provide new directions for the prevention and treatment of BC. METHODS We collected transcriptomic and clinical data of BC patients from TCGA and GEO datasets and constructed a predictive signature for BMRGs by using univariate, least absolute shrinkage and selection operator (LASSO) and multivariate Cox regression analysis. The reliability of the model was further evaluated and validated by Kaplan-Meier survival curves and receiver operating characteristic curves (ROC). Column line plots and corresponding calibration curves were constructed. Possible biological pathways were investigated by enrichment analysis. Afterward, we assessed the mutation status by tumor mutational burden (TMB) analysis and compared different subtypes using cluster analysis. Finally, we examined drug treatment sensitivity and immunological correlation to lay the groundwork for more in-depth studies in this area. RESULTS The prognostic risk model consisted of 7 genes (FBLN5, ITGB2, LAMC3, MMP1, EVA1B, SDC1, UNC5A). After validation, we found that the model was highly reliable and could accurately predict the prognosis of BC patients. Cluster analysis showed that patients with cluster 1 had more sensitive drugs and had better chances of better clinical outcomes. In addition, TMB, immune checkpoint, immune status, and semi-inhibitory concentrations were significantly different between high and low-risk groups, with lower-risk patients having the better anti-cancer ability. DISCUSSION The basement membrane-related gene signature that we established can be applied as an independent prognostic factor for BC and can provide a reference for individualized treatment of BC patients.
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Affiliation(s)
- Jiehui Cai
- Department of General Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Xinkang Zhang
- Department of General Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Wanchun Xie
- Department of General Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Zhiyang Li
- Department of General Surgery, The Second Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China
| | - Wei Liu
- Department of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, China
| | - An Liu
- Department of Chemistry and Chemical Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, China
- *Correspondence: An Liu,
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Torre P, Motta BM, Sciorio R, Masarone M, Persico M. Inflammation and Fibrogenesis in MAFLD: Role of the Hepatic Immune System. Front Med (Lausanne) 2021; 8:781567. [PMID: 34957156 PMCID: PMC8695879 DOI: 10.3389/fmed.2021.781567] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Accepted: 11/05/2021] [Indexed: 12/12/2022] Open
Abstract
Metabolic (dysfunction)-associated fatty liver disease (MAFLD) is the definition recently proposed to better circumscribe the spectrum of conditions long known as non-alcoholic fatty liver disease (NAFLD) that range from simple steatosis without inflammation to more advanced liver diseases. The progression of MAFLD, as well as other chronic liver diseases, toward cirrhosis, is driven by hepatic inflammation and fibrogenesis. The latter, result of a “chronic wound healing reaction,” is a dynamic process, and the understanding of its underlying pathophysiological events has increased in recent years. Fibrosis progresses in a microenvironment where it takes part an interplay between fibrogenic cells and many other elements, including some cells of the immune system with an underexplored or still unclear role in liver diseases. Some therapeutic approaches, also acting on the immune system, have been probed over time to evaluate their ability to improve inflammation and fibrosis in NAFLD, but to date no drug has been approved to treat this condition. In this review, we will focus on the contribution of the liver immune system in the progression of NAFLD, and on therapies under study that aim to counter the immune substrate of the disease.
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Affiliation(s)
- Pietro Torre
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Salerno, Italy
| | - Benedetta Maria Motta
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Baronissi, Italy
| | - Roberta Sciorio
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Salerno, Italy
| | - Mario Masarone
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Salerno, Italy
| | - Marcello Persico
- Internal Medicine and Hepatology Unit, Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Salerno, Italy
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The Colorectal Cancer Tumor Microenvironment and Its Impact on Liver and Lung Metastasis. Cancers (Basel) 2021; 13:cancers13246206. [PMID: 34944826 PMCID: PMC8699466 DOI: 10.3390/cancers13246206] [Citation(s) in RCA: 60] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 12/02/2021] [Accepted: 12/02/2021] [Indexed: 12/12/2022] Open
Abstract
Simple Summary Colorectal cancer (CRC) is the third most common cancer worldwide. Metastasis to secondary organs, such as the liver and lungs, is a key driver of CRC-related mortality. The tumor microenvironment, which consists of the primary cancer cells, as well as associated support and immune cells, significantly affects the behavior of CRC cells at the primary tumor site, as well as in metastatic lesions. In this paper, we review the role of the individual components of the tumor microenvironment on tumor progression, immune evasion, and metastasis, and we discuss the implications of these components on antitumor therapies. Abstract Colorectal cancer (CRC) is the third most common malignancy and the second most common cause of cancer-related mortality worldwide. A total of 20% of CRC patients present with distant metastases, most frequently to the liver and lung. In the primary tumor, as well as at each metastatic site, the cellular components of the tumor microenvironment (TME) contribute to tumor engraftment and metastasis. These include immune cells (macrophages, neutrophils, T lymphocytes, and dendritic cells) and stromal cells (cancer-associated fibroblasts and endothelial cells). In this review, we highlight how the TME influences tumor progression and invasion at the primary site and its function in fostering metastatic niches in the liver and lungs. We also discuss emerging clinical strategies to target the CRC TME.
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