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Chen X, Ma C, Li Y, Liang Y, Chen T, Han D, Luo D, Zhang N, Zhao W, Wang L, Yang Q. COL5A1 promotes triple-negative breast cancer progression by activating tumor cell-macrophage crosstalk. Oncogene 2024; 43:1742-1756. [PMID: 38609499 DOI: 10.1038/s41388-024-03030-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/06/2024] [Accepted: 04/08/2024] [Indexed: 04/14/2024]
Abstract
Triple-negative breast cancer (TNBC) is an exceptionally aggressive subtype of breast cancer. Despite the recognized interplay between tumors and tumor-associated macrophages in fostering drug resistance and disease progression, the precise mechanisms leading these interactions remain elusive. Our study revealed that the upregulation of collagen type V alpha 1 (COL5A1) in TNBC tissues, particularly in chemoresistant samples, was closely linked to an unfavorable prognosis. Functional assays unequivocally demonstrated that COL5A1 played a pivotal role in fueling cancer growth, metastasis, and resistance to doxorubicin, both in vitro and in vivo. Furthermore, we found that the cytokine IL-6, produced by COL5A1-overexpressing TNBC cells actively promoted M2 macrophage polarization. In turn, TGFβ from M2 macrophages drived TNBC doxorubicin resistance through the TGFβ/Smad3/COL5A1 signaling pathway, establishing a feedback loop between TNBC cells and macrophages. Mechanistically, COL5A1 interacted with TGM2, inhibiting its K48-linked ubiquitination-mediated degradation, thereby enhancing chemoresistance and increasing IL-6 secretion. In summary, our findings underscored the significant contribution of COL5A1 upregulation to TNBC progression and chemoresistance, highlighting its potential as a diagnostic and therapeutic biomarker for TNBC.
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Affiliation(s)
- Xi Chen
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Chenao Ma
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yaming Li
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Yiran Liang
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Tong Chen
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Dianwen Han
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Dan Luo
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Ning Zhang
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China
| | - Wenjing Zhao
- Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Lijuan Wang
- Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China
| | - Qifeng Yang
- Department of Breast Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, 250012, Shandong, China.
- Pathology Tissue Bank, Qilu Hospital of Shandong University, Jinan, 250012, Shandong, China.
- Research Institute of Breast Cancer, Shandong University, Jinan, 250012, Shandong, China.
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Benmelech S, Le T, McKay M, Nam J, Subramaniam K, Tellez D, Vlasak G, Mak M. Biophysical and biochemical aspects of immune cell-tumor microenvironment interactions. APL Bioeng 2024; 8:021502. [PMID: 38572312 PMCID: PMC10990568 DOI: 10.1063/5.0195244] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2023] [Accepted: 03/19/2024] [Indexed: 04/05/2024] Open
Abstract
The tumor microenvironment (TME), composed of and influenced by a heterogeneous set of cancer cells and an extracellular matrix, plays a crucial role in cancer progression. The biophysical aspects of the TME (namely, its architecture and mechanics) regulate interactions and spatial distributions of cancer cells and immune cells. In this review, we discuss the factors of the TME-notably, the extracellular matrix, as well as tumor and stromal cells-that contribute to a pro-tumor, immunosuppressive response. We then discuss the ways in which cells of the innate and adaptive immune systems respond to tumors from both biochemical and biophysical perspectives, with increased focus on CD8+ and CD4+ T cells. Building upon this information, we turn to immune-based antitumor interventions-specifically, recent biophysical breakthroughs aimed at improving CAR-T cell therapy.
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Affiliation(s)
- Shoham Benmelech
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA
| | - Thien Le
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA
| | - Maggie McKay
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA
| | - Jungmin Nam
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA
| | - Krupakar Subramaniam
- Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut 06511, USA
| | - Daniela Tellez
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA
| | - Grace Vlasak
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA
| | - Michael Mak
- Department of Biomedical Engineering, Yale University, New Haven, Connecticut 06511, USA
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Fejza A, Carobolante G, Poletto E, Camicia L, Schinello G, Di Siena E, Ricci G, Mongiat M, Andreuzzi E. The entanglement of extracellular matrix molecules and immune checkpoint inhibitors in cancer: a systematic review of the literature. Front Immunol 2023; 14:1270981. [PMID: 37854588 PMCID: PMC10579931 DOI: 10.3389/fimmu.2023.1270981] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 09/18/2023] [Indexed: 10/20/2023] Open
Abstract
Introduction Immune-checkpoint inhibitors (ICIs) have emerged as a core pillar of cancer therapy as single agents or in combination regimens both in adults and children. Unfortunately, ICIs provide a long-lasting therapeutic effect in only one third of the patients. Thus, the search for predictive biomarkers of responsiveness to ICIs remains an urgent clinical need. The efficacy of ICIs treatments is strongly affected not only by the specific characteristics of cancer cells and the levels of immune checkpoint ligands, but also by other components of the tumor microenvironment, among which the extracellular matrix (ECM) is emerging as key player. With the aim to comprehensively describe the relation between ECM and ICIs' efficacy in cancer patients, the present review systematically evaluated the current literature regarding ECM remodeling in association with immunotherapeutic approaches. Methods This review followed the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines and was registered at the International Prospective Register of Systematic Reviews (PROSPERO, CRD42022351180). PubMed, Web of Science, and Scopus databases were comprehensively searched from inception to January 2023. Titles, abstracts and full text screening was performed to exclude non eligible articles. The risk of bias was assessed using the QUADAS-2 tool. Results After employing relevant MeSH and key terms, we identified a total of 5070 studies. Among them, 2540 duplicates, 1521 reviews or commentaries were found and excluded. Following title and abstract screening, the full text was analyzed, and 47 studies meeting the eligibility criteria were retained. The studies included in this systematic review comprehensively recapitulate the latest observations associating changes of the ECM composition following remodeling with the traits of the tumor immune cell infiltration. The present study provides for the first time a broad view of the tight association between ECM molecules and ICIs efficacy in different tumor types, highlighting the importance of ECM-derived proteolytic products as promising liquid biopsy-based biomarkers to predict the efficacy of ICIs. Conclusion ECM remodeling has an important impact on the immune traits of different tumor types. Increasing evidence pinpoint at ECM-derived molecules as putative biomarkers to identify the patients that would most likely benefit from ICIs treatments. Systematic review registration https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022351180, identifier CRD42022351180.
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Affiliation(s)
- Albina Fejza
- Department of Biochemistry, Faculty of Medical Sciences, UBT-Higher Education Institute, Prishtina, Kosovo
| | - Greta Carobolante
- Department of Research and Diagnosis, Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Evelina Poletto
- Department of Research and Diagnosis, Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Lucrezia Camicia
- Department of Research and Diagnosis, Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Giorgia Schinello
- Department of Research and Diagnosis, Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Emanuele Di Siena
- Department of Research and Diagnosis, Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Giuseppe Ricci
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
| | - Maurizio Mongiat
- Department of Research and Diagnosis, Division of Molecular Oncology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, Aviano, Italy
| | - Eva Andreuzzi
- Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS Burlo Garofolo, Trieste, Italy
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Hu X, Li D, Zhu H, Yu T, Xiong X, Xu X. ATP6V1F is a novel prognostic biomarker and potential immunotherapy target for hepatocellular carcinoma. BMC Med Genomics 2023; 16:188. [PMID: 37587505 PMCID: PMC10428557 DOI: 10.1186/s12920-023-01624-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 08/02/2023] [Indexed: 08/18/2023] Open
Abstract
Hepatocellular carcinoma (HCC) is one of the deadliest malignancies worldwide, with late detection, ineffective treatment and poor overall survival. Immunotherapy, including immune checkpoint inhibitor (ICI) therapy, holds great potential for treatment of HCC. Although some patients respond well to ICIs, many fail to obtain a significant benefit. It is therefore of great interest to find appropriate markers to stratify patient responses to immunotherapy and to explore suitable targets for modulating the TME and immune cell infiltration. ATP6V1F encodes a constituent of vacuolar ATPase (V-ATPase). V-ATPase-mediated acidification of organelles is required for intracellular processes such as zymogen activation, receptor-mediated endocytosis, protein sorting and synaptic vesicle proton gradient generation. In this study, we confirmed for the first time that ATP6V1F is overexpressed in HCC and related to poor prognosis in these patients. We identified that overexpression of ATP6V1F is associated with infiltration of some immune cells and expression of several immune checkpoints. Furthermore, we explored the possible mechanisms of action of ATP6V1F. Finally, we conducted in vitro experiments, including wound healing, Transwell invasion, and apoptosis assays, to verify that ATP6V1F promotes development of HCC by promoting migration and invasion and inhibiting apoptosis of HCC cells. Our findings will contribute to providing precise immunotherapy to patients with HCC.
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Affiliation(s)
- Xinyao Hu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Dan Li
- Department of Pharmacy, Renmin Hospital of Wuhan University, Wuhan, China
| | - Hua Zhu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Tao Yu
- Department of Oncology, Integrated Traditional Chinese and Western Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaoxing Xiong
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China.
| | - Ximing Xu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China.
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5
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Zhao W, Chang Y, Wu Z, Jiang X, Li Y, Xie R, Fu D, Sun C, Gao J. Identification of PIMREG as a novel prognostic signature in breast cancer via integrated bioinformatics analysis and experimental validation. PeerJ 2023; 11:e15703. [PMID: 37483962 PMCID: PMC10358341 DOI: 10.7717/peerj.15703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 06/14/2023] [Indexed: 07/25/2023] Open
Abstract
Background Phosphatidylinositol binding clathrin assembly protein interacting mitotic regulator (PIMREG) expression is upregulated in a variety of cancers. However, its potential role in breast cancer (BC) remains uncertain. Methods The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases were used to gather relevant information. The expression of PIMREG and its clinical implication in BC were assessed by using Wilcoxon rank-sum test. The prognostic value of PIMREG in BC was evaluated through the Cox regression model and nomogram, and visualized by Kaplan-Meier survival curves. Genes/proteins that interact with PIMREG in BC were also identified through GeneMANIA and MaxLink. Gene set enrichment analysis (GSEA) was then performed. The correlations of the immune cell infiltration and immune checkpoints with the expression of PIMREG in BC were explored via TIMER, TISIDB, and GEPIA. Potential drugs that interact with PIMREG in BC were explored via Q-omic. The siRNA transfection, CCK-8, and transwell migration assay were conducted to explore the function of PIMREG in cell proliferation and migration. Results PIMREG expression was significantly higher in infiltrating ductal carcinoma, estrogen receptor negative BC, and progestin receptor negative BC. High expression of PIMREG was associated with poor overall survival, disease-specific survival, and progression-free interval. A nomogram based on PIMREG was developed with a satisfactory prognostic value. PIMREG also had a high diagnostic ability, with an area under the curve of 0.940. Its correlations with several immunomodulators were also observed. Immune checkpoint CTLA-4 was significantly positively associated with PIMREG. HDAC2 was found as a potentially critical link between PIMREG and BRCA1/2. In addition, PIMREG knockdown could inhibit cell proliferation and migration in BC. Conclusions The high expression of PIMREG is associated with poor prognosis and immune checkpoints in BC. HDAC2 may be a critical link between PIMREG and BRCA1/2, potentially a therapeutic target.
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Affiliation(s)
- Wenjing Zhao
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Yuanjin Chang
- School of Medicine, Jiangnan College, WuXi, JiangSu, China
| | - Zhaoye Wu
- School of Medicine, Jiangnan College, WuXi, JiangSu, China
| | - Xiaofan Jiang
- School of Medicine, Jiangnan College, WuXi, JiangSu, China
| | - Yong Li
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Ruijin Xie
- School of Medicine, Jiangnan College, WuXi, JiangSu, China
| | - Deyuan Fu
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Chenyu Sun
- Department of General Surgery, The second Affiliated Hospital of Anhui Medical University, Anhui, China
- Department of Medicine, AMITA Health Saint Joseph Hospital, Chicago, IL, USA
| | - Ju Gao
- Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
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6
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Necula L, Matei L, Dragu D, Pitica I, Neagu A, Bleotu C, Diaconu CC, Chivu-Economescu M. Collagen Family as Promising Biomarkers and Therapeutic Targets in Cancer. Int J Mol Sci 2022; 23:ijms232012415. [PMID: 36293285 PMCID: PMC9604126 DOI: 10.3390/ijms232012415] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 10/07/2022] [Accepted: 10/12/2022] [Indexed: 11/16/2022] Open
Abstract
Despite advances in cancer detection and therapy, it has been estimated that the incidence of cancers will increase, while the mortality rate will continue to remain high, a fact explained by the large number of patients diagnosed in advanced stages when therapy is often useless. Therefore, it is necessary to invest knowledge and resources in the development of new non-invasive biomarkers for the early detection of cancer and new therapeutic targets for better health management. In this review, we provided an overview on the collagen family as promising biomarkers and on how they may be exploited as therapeutic targets in cancer. The collagen family tridimensional structure, organization, and functions are very complex, being in a tight relationship with the extracellular matrix, tumor, and immune microenvironment. Moreover, accumulating evidence underlines the role of collagens in promoting tumor growth and creating a permissive tumor microenvironment for metastatic dissemination. Knowledge of the molecular basis of these interactions may help in cancer diagnosis and prognosis, in overcoming chemoresistance, and in providing new targets for cancer therapies.
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Affiliation(s)
- Laura Necula
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
- Faculty of Medicine, Titu Maiorescu University, 040441 Bucharest, Romania
- Correspondence: ; Tel.: +40-21-324-2592
| | - Lilia Matei
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Denisa Dragu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Ioana Pitica
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Ana Neagu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Coralia Bleotu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Carmen C. Diaconu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
| | - Mihaela Chivu-Economescu
- Department of Cellular and Molecular Pathology, Stefan S. Nicolau Institute of Virology, 030304 Bucharest, Romania
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APOL4, a Novel Immune-Related Prognostic Biomarker for Glioma. J Clin Med 2022; 11:jcm11195765. [PMID: 36233633 PMCID: PMC9572388 DOI: 10.3390/jcm11195765] [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: 07/20/2022] [Revised: 09/21/2022] [Accepted: 09/24/2022] [Indexed: 11/16/2022] Open
Abstract
Glioma is the common, most aggressive and poorest prognostic tumor type in the brain. More and more biomarkers associated with glioma treatment, prognosis, and immunity are being discovered. Here, we aimed to explore the underlying biological functions and prognostic predictive value of Apolipoprotein L4 (APOL4) in glioma. We downloaded the expression data of APOL4 and clinical information from several databases and used R software for preprocessing. The clinical significance of APOL4 in a glioma outcome was explored by the Cox regression analysis and Kaplan–Meier survival analysis. In addition, immune infiltrates and microenvironmental indicators were assessed by CIBERSORT and TIMER. GO and KEGG analyses were used to analyze the potential functions of APOL4 in gliomas. APOL4 expression was increased in glioma specimens compared to normal tissues and correlated dramatically with the WHO grade. A survival analysis showed a shorter overall survival (OS) in glioma patients with APOL4 overexpression, and a Cox regression analysis showed that APOL4 was an independent prognostic factor for the OS of glioma patients. GSEA, GO, and KEGG enrichment analyses showed remarkable enrichment in immune-related pathways. APOL4 expression was positively correlated with immune infiltration (including DC cells, neutrophils, CD8+ T cells, B cells, macrophages, CD4+ T cells, etc.) and microenvironmental parameters (including immune, stromal, and ESTIMATE scores) in gliomas. Glioma patients with a higher expression of APOL4 may be more sensitive to immune checkpoint inhibitors (ICI). In conclusion, these findings suggest that APOL4 is associated with the tumor grade and immune infiltrates; APOL4 may be a new and potential biomarker for therapeutic and prognostic evaluations that may further suggest the therapeutic efficacy of immunotherapy.
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Hu X, Zhu H, Feng S, Wang C, Ye Y, Xiong X. Transmembrane and coiled-coil domains 3 is a diagnostic biomarker for predicting immune checkpoint blockade efficacy in hepatocellular carcinoma. Front Genet 2022; 13:1006357. [PMID: 36246598 PMCID: PMC9556949 DOI: 10.3389/fgene.2022.1006357] [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: 07/29/2022] [Accepted: 09/14/2022] [Indexed: 02/03/2023] Open
Abstract
Liver hepatocellular carcinoma (LIHC) is a malignancy with a high mortality and morbidity rate worldwide. However, the pathogenesis of LIHC has still not been thoroughly studied. Transmembrane and coiled-coil domains 3 (TMCO3) encodes a monovalent cation, a member of the proton transducer 2 (CPA2) family of transporter proteins. In the present study, TMCO3 expression and its relationship with cancer prognosis, as well as its immunological role in LIHC were studied by bioinformatic analysis. We found the significant overexpression of TMCO3 in LIHC in the TCGA, HCCDB, and GEO databases. In LIHC patients, high TMCO3 expression was related to poorer overall survival (OS) and TMCO3 had good predictive accuracy for prognosis. Moreover, TMCO3 was linked to the infiltrates of certain immune cells in LIHC. The correlation of TMCO3 with immune checkpoints was also revealed. Moreover, patients with LIHC with low TMCO3 expression showed a better response to immune checkpoint blockade (ICB) than those with LIHC with high TMCO3 expression. GO and KEGG enrichment analyses indicated that TMCO3 was probably involved in the microtubule cytoskeleton organization involved in mitosis, small GTPase mediated signal transduction, and TGF-β pathway. In conclusion, TMCO3 may be a potential biomarker for LIHC prognosis and immunotherapy.
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Affiliation(s)
- Xinyao Hu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Hua Zhu
- Department of Neurosurgery, The Affiliated Huzhou Hospital, Zhejiang University School of Medicine (Huzhou Central Hospital), Huzhou, China,Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Shi Feng
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Chaoqun Wang
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China
| | - Yingze Ye
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China,*Correspondence: Yingze Ye, ; Xiaoxing Xiong,
| | - Xiaoxing Xiong
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China,Department of Neurosurgery, The Affiliated Huzhou Hospital, Zhejiang University School of Medicine (Huzhou Central Hospital), Huzhou, China,Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan University, Wuhan, China,*Correspondence: Yingze Ye, ; Xiaoxing Xiong,
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9
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Zhu H, Hu X, Feng S, Gu L, Jian Z, Zou N, Xiong X. Predictive value of PIMREG in the prognosis and response to immune checkpoint blockade of glioma patients. Front Immunol 2022; 13:946692. [PMID: 35928818 PMCID: PMC9344140 DOI: 10.3389/fimmu.2022.946692] [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: 05/17/2022] [Accepted: 06/29/2022] [Indexed: 12/19/2022] Open
Abstract
Glioma is the most common primary brain tumor in the human brain. The present study was designed to explore the expression of PIMREG in glioma and its relevance to the clinicopathological features and prognosis of glioma patients. The correlations of PIMREG with the infiltrating levels of immune cells and its relevance to the response to immunotherapy were also investigated. PIMREG expression in glioma was analyzed based on the GEO, TCGA, and HPA databases. Kaplan–Meier survival analysis was used to examine the predictive value of PIMREG for the prognosis of patients with glioma. The correlation between the infiltrating levels of immune cells in glioma and PIMREG was analyzed using the CIBERSORT algorithm and TIMRE database. The correlation between PIMREG and immune checkpoints and its correlation with the patients’ responses to immunotherapy were analyzed using R software and the GEPIA dataset. Cell experiments were conducted to verify the action of PIMREG in glioma cell migration and invasion. We found that PIMREG expression was upregulated in gliomas and positively associated with WHO grade. High PIMREG expression was correlated with poor prognosis of LGG, prognosis of all WHO grade gliomas, and prognosis of recurrent gliomas. PIMREG was related to the infiltration of several immune cell types, such as M1 and M2 macrophages, monocytes and CD8+ T cells. Moreover, PIMREG was correlated with immune checkpoints in glioma and correlated with patients’ responses to immunotherapy. KEGG pathway enrichment and GO functional analysis illustrated that PIMREG was related to multiple tumor- and immune-related pathways. In conclusion, PIMREG overexpression in gliomas is associated with poor prognosis of patients with glioma and is related to immune cell infiltrates and the responses to immunotherapy.
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Affiliation(s)
- Hua Zhu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
- Department of Neurosurgery, The Affiliated Huzhou Hospital, Zhejiang University School of Medicine (Huzhou Central Hospital), Huzhou, China
| | - Xinyao Hu
- Cancer Center, Renmin Hospital of Wuhan University, Wuhan, China
| | - Shi Feng
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Lijuan Gu
- Central Laboratory, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhihong Jian
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
| | - Ning Zou
- Department of Radiation Oncology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Ning Zou, ; Xiaoxing Xiong,
| | - Xiaoxing Xiong
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
- Department of Neurosurgery, The Affiliated Huzhou Hospital, Zhejiang University School of Medicine (Huzhou Central Hospital), Huzhou, China
- *Correspondence: Ning Zou, ; Xiaoxing Xiong,
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Sun C, Chen Y, Kim NH, Lowe S, Ma S, Zhou Z, Bentley R, Chen YS, Tuason MW, Gu W, Bhan C, Tuason JPW, Thapa P, Cheng C, Zhou Q, Zhu Y. Identification and Verification of Potential Biomarkers in Gastric Cancer By Integrated Bioinformatic Analysis. Front Genet 2022; 13:911740. [PMID: 35910202 PMCID: PMC9337873 DOI: 10.3389/fgene.2022.911740] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 06/08/2022] [Indexed: 12/13/2022] Open
Abstract
Background: Gastric cancer (GC) is a common cancer with high mortality. This study aimed to identify its differentially expressed genes (DEGs) using bioinformatics methods. Methods: DEGs were screened from four GEO (Gene Expression Omnibus) gene expression profiles. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were performed. A protein–protein interaction (PPI) network was constructed. Expression and prognosis were assessed. Meta-analysis was conducted to further validate prognosis. The receiver operating characteristic curve (ROC) was analyzed to identify diagnostic markers, and a nomogram was developed. Exploration of drugs and immune cell infiltration analysis were conducted. Results: Nine up-regulated and three down-regulated hub genes were identified, with close relations to gastric functions, extracellular activities, and structures. Overexpressed Collagen Type VIII Alpha 1 Chain (COL8A1), Collagen Type X Alpha 1 Chain (COL10A1), Collagen Triple Helix Repeat Containing 1 (CTHRC1), and Fibroblast Activation Protein (FAP) correlated with poor prognosis. The area under the curve (AUC) of ADAM Metallopeptidase With Thrombospondin Type 1 Motif 2 (ADAMTS2), COL10A1, Collagen Type XI Alpha 1 Chain (COL11A1), and CTHRC1 was >0.9. A nomogram model based on CTHRC1 was developed. Infiltration of macrophages, neutrophils, and dendritic cells positively correlated with COL8A1, COL10A1, CTHRC1, and FAP. Meta-analysis confirmed poor prognosis of overexpressed CTHRC1. Conclusion: ADAMTS2, COL10A1, COL11A1, and CTHRC1 have diagnostic values in GC. COL8A1, COL10A1, CTHRC1, and FAP correlated with worse prognosis, showing prognostic and therapeutic values. The immune cell infiltration needs further investigations.
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Affiliation(s)
- Chenyu Sun
- AMITA Health Saint Joseph Hospital Chicago, Chicago, IL, United States
| | - Yue Chen
- Department of Clinical Medicine, School of the First Clinical Medicine, Anhui Medical University, Hefei, China
| | - Na Hyun Kim
- AMITA Health Saint Joseph Hospital Chicago, Chicago, IL, United States
| | - Scott Lowe
- College of Osteopathic Medicine, Kansas City University, Kansas City, MO, United States
| | - Shaodi Ma
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Zhen Zhou
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Rachel Bentley
- College of Osteopathic Medicine, Kansas City University, Kansas City, MO, United States
| | - Yi-Sheng Chen
- Department of Orthopedics, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | | | - Wenchao Gu
- Department of Diagnostic Radiology and Nuclear Medicine, Gunma University Graduate School of Medicine, Maebashi, Japan
| | - Chandur Bhan
- AMITA Health Saint Joseph Hospital Chicago, Chicago, IL, United States
| | | | - Pratikshya Thapa
- AMITA Health Saint Joseph Hospital Chicago, Chicago, IL, United States
| | - Ce Cheng
- The University of Arizona College of Medicine, Tucson, AZ, United States
- Banner-University Medical Center South, Tucson, AZ, United States
| | - Qin Zhou
- Mayo Clinic, Rochester, MN, United States
| | - Yanzhe Zhu
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, Hefei, China
- *Correspondence: Yanzhe Zhu,
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11
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Yu T, Li D, Zeng Z, Xu X, Zhang H, Wu J, Song W, Zhu H. INSC Is Down-Regulated in Colon Cancer and Correlated to Immune Infiltration. Front Genet 2022; 13:821826. [PMID: 35664320 PMCID: PMC9161087 DOI: 10.3389/fgene.2022.821826] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Accepted: 04/04/2022] [Indexed: 01/01/2023] Open
Abstract
Background: Previous studies have verified that Inscuteable Spindle Orientation Adaptor Protein (INSC) can regulate cell proliferation and differentiation in the developing nervous system. It also plays an important role in spindle orientation during mitosis and asymmetric division of fibroblasts and participates in the process of stratification of the squamous epithelium. The role and potential mechanism of INSC in the development of colonic adenocarcinoma (COAD) have not been fully understood. This study aimed at exploring the prognostic value of INSC in COAD and the correlation of its expression with immune infiltration.Methods: The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression (GTEx) project, Gene Expression Profiling Interactive Analysis (GEPIA), and Gene Expression Omnibus (GEO) database were used to analyze the expression of INSC in COAD. The INSC protein expression level was analyzed by immunohistochemistry staining and the Human Protein Atlas (HPA) database. The diagnostic and prognostic values of INSC in COAD patients were analyzed using receiver operating characteristic (ROC) and Kaplan–Meier (KM) survival curves. In order to understand whether INSC is an independent prognostic factor, we used univariable and multivariate Cox analyses to analyze INSC expression and several clinical characteristics with survival. We use STRING analysis to find INSC-related proteins and related biological events analyzed by Gene Ontology (GO) annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. At last, GEPIA and the Tumor Immune Estimation Resource (TIMER) were employed to explore the relationship between INSC and immune infiltrates and its marker gene set.Results: INSC was lower expressed in COAD tissues than in normal colon tissues, which was correlated with tumor stage. Patients with lower expression of INSC had shorter overall survival (OS). Moreover, univariable Cox analysis demonstrated that high expression of INSC was an independent prognostic factor for COAD. ROC analysis showed INSC was an accurate marker for identifying tumors from normal colon tissue, and the AUC of the curve was 0.923. Significant GO term analysis by GSEA showed that genes correlated with INSC were found to be enriched in several immune-related pathways. Specifically, INSC expression showed significant negative correlations with infiltration levels of B cells, CD4+ T cells, macrophages, DCs, and their marker sets in COAD.Conclusion: INSC was provided with prognostic value in COAD and related to immune invasion.
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Affiliation(s)
- Tao Yu
- Department of Oncology, Integrated Chinese and Western Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
- *Correspondence: Tao Yu, ; Hua Zhu,
| | - Dan Li
- Department of Pharmacy, Renmin Hospital of Wuhan University, Wuhan, China
| | - Zhi Zeng
- Department of Pathology, Renmin Hospital of Wuhan University, Wuhan, China
| | - Xu Xu
- Department of Geriatrics, Renmin Hospital of Wuhan University, Wuhan, China
| | - Haiming Zhang
- Department of Oncology, Integrated Chinese and Western Medicine, The Central Hospital of Wuhan, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jie Wu
- Department of Pharmacy, Renmin Hospital of Wuhan University, Wuhan, China
| | - Wei Song
- Department of Pharmacy, Renmin Hospital of Wuhan University, Wuhan, China
| | - Hua Zhu
- Department of Neurosurgery, Renmin Hospital of Wuhan University, Wuhan, China
- *Correspondence: Tao Yu, ; Hua Zhu,
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