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O’Brien G, Kamuda M, Cruz-Garcia L, Polozova M, Tichy A, Markova M, Sirak I, Zahradnicek O, Widłak P, Ponge L, Polanska J, Badie C. Transcriptional Inflammatory Signature in Healthy Donors and Different Radiotherapy Cancer Patients. Int J Mol Sci 2024; 25:1080. [PMID: 38256152 PMCID: PMC10816540 DOI: 10.3390/ijms25021080] [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: 12/10/2023] [Revised: 01/10/2024] [Accepted: 01/13/2024] [Indexed: 01/24/2024] Open
Abstract
Cancer and ionizing radiation exposure are associated with inflammation. To identify a set of radiation-specific signatures of inflammation-associated genes in the blood of partially exposed radiotherapy patients, differential expression of 249 inflammatory genes was analyzed in blood samples from cancer patients and healthy individuals. The gene expression analysis on a cohort of 63 cancer patients (endometrial, head and neck, and prostate cancer) before and during radiotherapy (24 h, 48 h, ~1 week, ~4-8 weeks, and 1 month after the last fraction) identified 31 genes and 15 up- and 16 down-regulated genes. Transcription variability under normal conditions was determined using blood drawn on three separate occasions from four healthy donors. No difference in inflammatory expression between healthy donors and cancer patients could be detected prior to radiotherapy. Remarkably, repeated sampling of healthy donors revealed an individual endogenous inflammatory signature. Next, the potential confounding effect of concomitant inflammation was studied in the blood of seven healthy donors taken before and 24 h after a flu vaccine or ex vivo LPS (lipopolysaccharide) treatment; flu vaccination was not detected at the transcriptional level and LPS did not have any effect on the radiation-induced signature identified. Finally, we identified a radiation-specific signature of 31 genes in the blood of radiotherapy patients that were common for all cancers, regardless of the immune status of patients. Confirmation via MQRT-PCR was obtained for BCL6, MYD88, MYC, IL7, CCR4 and CCR7. This study offers the foundation for future research on biomarkers of radiation exposure, radiation sensitivity, and radiation toxicity for personalized radiotherapy treatment.
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Affiliation(s)
- Gráinne O’Brien
- Cancer Mechanisms and Biomarkers Group, Centre for Radiation, Chemical and Environmental Hazards, UK Health Security Agency, Oxfordshire OX11 0RQ, UK; (G.O.); (L.C.-G.); (M.P.)
| | - Malgorzata Kamuda
- Department of Data Mining, Silesian University of Technology, 44-100 Gliwice, Poland (J.P.)
| | - Lourdes Cruz-Garcia
- Cancer Mechanisms and Biomarkers Group, Centre for Radiation, Chemical and Environmental Hazards, UK Health Security Agency, Oxfordshire OX11 0RQ, UK; (G.O.); (L.C.-G.); (M.P.)
| | - Mariia Polozova
- Cancer Mechanisms and Biomarkers Group, Centre for Radiation, Chemical and Environmental Hazards, UK Health Security Agency, Oxfordshire OX11 0RQ, UK; (G.O.); (L.C.-G.); (M.P.)
| | - Ales Tichy
- Department of Radiobiology, Faculty of Military Health Sciences in Hradec Králové, University of Defence, 662 10 Brno, Czech Republic
- Biomedical Research Centre, University Hospital Hradec Králové, 500 05 Hradec Králové, Czech Republic
| | - Marketa Markova
- Institute of Hematology and Blood Transfusion, 128 00 Praha, Czech Republic;
| | - Igor Sirak
- Department of Oncology and Radiotherapy and 4th Department of Internal Medicine—Hematology, University Hospital, 500 05 Hradec Králové, Czech Republic;
| | - Oldrich Zahradnicek
- Department of Radiation Dosimetry, Nuclear Physics Institute, Czech Academy of Sciences, 180 00 Prague, Czech Republic;
| | - Piotr Widłak
- Clinical Research Support Centre, Medical University of Gdańsk, Gdańsk, M. Skłodowskiej-Curie 3a Street, 80-210 Gdańsk, Poland;
| | - Lucyna Ponge
- Maria Skłodowska-Curie National Research Institute of Oncology, 44-102 Gliwice, Poland;
| | - Joanna Polanska
- Department of Data Mining, Silesian University of Technology, 44-100 Gliwice, Poland (J.P.)
| | - Christophe Badie
- Cancer Mechanisms and Biomarkers Group, Centre for Radiation, Chemical and Environmental Hazards, UK Health Security Agency, Oxfordshire OX11 0RQ, UK; (G.O.); (L.C.-G.); (M.P.)
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Dhall A, Patiyal S, Kaur H, Raghava GPS. Risk assessment of cancer patients based on HLA-I alleles, neobinders and expression of cytokines. Comput Biol Med 2023; 167:107594. [PMID: 37918263 DOI: 10.1016/j.compbiomed.2023.107594] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2022] [Revised: 10/06/2023] [Accepted: 10/17/2023] [Indexed: 11/04/2023]
Abstract
Advancements in cancer immunotherapy have shown significant outcomes in treating cancers. To design effective immunotherapy, it's important to understand immune response of a patient based on its genomic profile. However, analyses to do that requires proficiency in the bioinformatic methods. Swiftly growing sequencing technologies and statistical methods create a blockage for the scientists who want to find the biomarkers for different cancers but don't have detailed knowledge of coding or tool. Here, we are providing a web-based resource that gives scientists with no bioinformatics expertise, the ability to obtain the prognostic biomarkers for different cancer types at different levels. We computed prognostic biomarkers from 8346 cancer patients for twenty cancer types. These biomarkers were computed based on i) presence of 352 Human leukocyte antigen class-I, ii) 660959 tumor-specific HLA1 neobinders, and iii) expression profile of 153 cytokines. It was observed that survival risk of cancer patients depends on presence of certain type of HLA-I alleles; for example, liver hepatocellular carcinoma patients with HLA-A*03:01 are at lower risk. Our analysis indicates that neobinders of HLA-I alleles have high correlation with overall survival of certain type of cancer patients. For example, HLA-B*07:02 binders have 0.49 correlation with survival of lung squamous cell carcinoma and -0.77 with kidney chromophobe patients. Additionally, we computed prognostic biomarkers based on cytokine expressions. Higher expression of few cytokines is survival favorable like IL-2 for bladder urothelial carcinoma, whereas IL-5R is survival unfavorable for kidney chromophobe patients. Freely accessible to public, CancerHLA-I maintains raw and analysed data (https://webs.iiitd.edu.in/raghava/cancerhla1/).
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Affiliation(s)
- Anjali Dhall
- Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla Phase 3, New Delhi, 110020, India
| | - Sumeet Patiyal
- Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla Phase 3, New Delhi, 110020, India
| | - Harpreet Kaur
- Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla Phase 3, New Delhi, 110020, India
| | - Gajendra P S Raghava
- Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla Phase 3, New Delhi, 110020, India.
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Budi HS, Farhood B. Targeting oral tumor microenvironment for effective therapy. Cancer Cell Int 2023; 23:101. [PMID: 37221555 DOI: 10.1186/s12935-023-02943-5] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Accepted: 05/11/2023] [Indexed: 05/25/2023] Open
Abstract
Oral cancers are among the common head and neck malignancies. Different anticancer therapy modalities such as chemotherapy, immunotherapy, radiation therapy, and also targeted molecular therapy may be prescribed for targeting oral malignancies. Traditionally, it has been assumed that targeting malignant cells alone by anticancer modalities such as chemotherapy and radiotherapy suppresses tumor growth. In the last decade, a large number of experiments have confirmed the pivotal role of other cells and secreted molecules in the tumor microenvironment (TME) on tumor progression. Extracellular matrix and immunosuppressive cells such as tumor-associated macrophages, myeloid-derived suppressor cells (MDSCs), cancer-associated fibroblasts (CAFs), and regulatory T cells (Tregs) play key roles in the progression of tumors like oral cancers and resistance to therapy. On the other hand, infiltrated CD4 + and CD8 + T lymphocytes, and natural killer (NK) cells are key anti-tumor cells that suppress the proliferation of malignant cells. Modulation of extracellular matrix and immunosuppressive cells, and also stimulation of anticancer immunity have been suggested to treat oral malignancies more effectively. Furthermore, the administration of some adjuvants or combination therapy modalities may suppress oral malignancies more effectively. In this review, we discuss various interactions between oral cancer cells and TME. Furthermore, we also review the basic mechanisms within oral TME that may cause resistance to therapy. Potential targets and approaches for overcoming the resistance of oral cancers to various anticancer modalities will also be reviewed. The findings for targeting cells and potential therapeutic targets in clinical studies will also be reviewed.
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Affiliation(s)
- Hendrik Setia Budi
- Department of Oral Biology, Dental Pharmacology, Faculty of Dental Medicine, Universitas Airlangga, Surabaya, Indonesia.
| | - Bagher Farhood
- Department of Medical Physics and Radiology, Faculty of Paramedical Sciences, Kashan University of Medical Sciences, Kashan, Iran.
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Novel Theranostic Approaches Targeting CCR4-Receptor, Current Status and Translational Prospectives: A Systematic Review. Pharmaceuticals (Basel) 2023. [DOI: 10.3390/ph16020313] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/19/2023] Open
Abstract
Background: With the high mortality rate of malignant tumors, there is a need to find novel theranostic approaches to provide an early diagnosis and targeted therapy. The chemokine receptor 4 (CCR4) is highly expressed in various tumors and plays an important role in tumor pathogenesis. This systematic review aims to provide a complete overview on clinical and preclinical applications of the CCR4 receptor as a target for theranostics, using a systematic approach to classify and assemble published studies performed on humans and animals, sorted by field of application and specific tumor. Methods: A systematic literature search of articles suiting the inclusion criteria was conducted on Pubmed, Scopus, Central, and Web of Science databases, including papers published from January 2006 to November 2022. Eligible studies had to be performed on humans and/or in vivo/in vitro studying CCR4 expression in tumors. The methodological quality was assessed through the Critical Appraisal Skills Programme (CASP) assessing only the studies performed on humans. Results: A total of 17 articles were screened. The articles were assessed for eligibility with the exclusion of 4 articles. Ultimately, 13 articles were selected for the qualitative analysis, and six articles were selected for the critical appraisal skills program. Conclusions: The development of new radionuclides and radiopharmaceuticals targeting CCR4 show promising results in the theranostics of CCR4 sensible tumors. Although to widen its use in clinical practice, further translation of preclinical to clinical data is needed.
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Maurya SK, Khan P, Rehman AU, Kanchan RK, Perumal N, Mahapatra S, Chand HS, Santamaria-Barria JA, Batra SK, Nasser MW. Rethinking the chemokine cascade in brain metastasis: Preventive and therapeutic implications. Semin Cancer Biol 2022; 86:914-930. [PMID: 34968667 PMCID: PMC9234104 DOI: 10.1016/j.semcancer.2021.12.009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2021] [Revised: 12/22/2021] [Accepted: 12/23/2021] [Indexed: 01/27/2023]
Abstract
Brain metastasis (BrM) is one of the major causes of death in cancer patients and is associated with an estimated 10-40 % of total cancer cases. The survival rate of brain metastatic patients has not improved due to intratumor heterogeneity, the survival adaptations of brain homing metastatic cells, and the lack of understanding of underlying molecular mechanisms that limit the availability of effective therapies. The heterogeneous population of immune cells and tumor-initiating cells or cancer stem cells in the tumor microenvironment (TME) release various factors, such as chemokines that upon binding to their cognate receptors enhance tumor growth at primary sites and help tumor cells metastasize to the brain. Furthermore, brain metastatic sites have unique heterogeneous microenvironment that fuels cancer cells in establishing BrM. This review explores the crosstalk of chemokines with the heterogeneous TME during the progression of BrM and recognizes potential therapeutic approaches. We also discuss and summarize different targeted, immunotherapeutic, chemotherapeutic, and combinatorial strategies (with chemo-/immune- or targeted-therapies) to attenuate chemokines mediated BrM.
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Affiliation(s)
- Shailendra Kumar Maurya
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68108, USA
| | - Parvez Khan
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68108, USA
| | - Asad Ur Rehman
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68108, USA
| | - Ranjana K Kanchan
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68108, USA
| | - Naveenkumar Perumal
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68108, USA
| | - Sidharth Mahapatra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68108, USA; Department of Pediatrics, University of Nebraska Medical Center, Omaha, NE, 68108, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68108, USA
| | - Hitendra S Chand
- Department of Immunology and Nanomedicine, Herbert Wertheim College of Medicine, Florida International University, Miami, FL, 33199, USA
| | | | - Surinder K Batra
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68108, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68108, USA; Eppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, Omaha, NE, 68108, USA
| | - Mohd Wasim Nasser
- Department of Biochemistry and Molecular Biology, University of Nebraska Medical Center, Omaha, NE, 68108, USA; Fred and Pamela Buffett Cancer Center, University of Nebraska Medical Center, Omaha, NE, 68108, USA.
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DiNatale A, Castelli MS, Nash B, Meucci O, Fatatis A. Regulation of Tumor and Metastasis Initiation by Chemokine Receptors. J Cancer 2022; 13:3160-3176. [PMID: 36118530 PMCID: PMC9475358 DOI: 10.7150/jca.72331] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 08/10/2022] [Indexed: 12/13/2022] Open
Abstract
Tumor-initiating cells (TICs) are a rare sub-population of cells within the bulk of a tumor that are major contributors to tumor initiation, metastasis, and chemoresistance. TICs have a stem-cell-like phenotype that is dictated by the expression of master regulator transcription factors, including OCT4, NANOG, and SOX2. These transcription factors are expressed via activation of multiple signaling pathways that drive cancer initiation and progression. Importantly, these same signaling pathways can be activated by select chemokine receptors. Chemokine receptors are increasingly being revealed as major drivers of the TIC phenotype, as their signaling can lead to activation of stemness-controlling transcription factors. Additionally, the cell surface expression of chemokine receptors provides a unique therapeutic target to disrupt signaling pathways that control the expression of master regulator transcription factors and the TIC phenotype. This review summarizes the master regulator transcription factors known to dictate the TIC phenotype, along with the complex signaling pathways that can mediate their expression and the chemokine receptors that are most upstream of this phenotype.
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Affiliation(s)
- Anthony DiNatale
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, PA 19102, USA.,Present Address: Janssen Oncology, Spring House, PA, USA
| | - Maria Sofia Castelli
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, PA 19102, USA.,Present address: Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Bradley Nash
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, PA 19102, USA
| | - Olimpia Meucci
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, PA 19102, USA.,Program in Immune Cell Regulation & Targeting, Sidney Kimmel Cancer Center of Thomas Jefferson University, Philadelphia, PA 19107, USA
| | - Alessandro Fatatis
- Department of Pharmacology and Physiology, Drexel University College of Medicine, Philadelphia, PA 19102, USA.,Program in Translational and Cellular Oncology, Sidney Kimmel Cancer Center of Thomas Jefferson University, Philadelphia, PA 19107, USA
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Ling Z, Li W, Hu J, Li Y, Deng M, Zhang S, Ren X, Wu T, Xia J, Cheng B, Tao X. Targeting CCL2-CCR4 axis suppress cell migration of head and neck squamous cell carcinoma. Cell Death Dis 2022; 13:158. [PMID: 35177591 PMCID: PMC8854715 DOI: 10.1038/s41419-022-04610-5] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 01/20/2022] [Accepted: 02/04/2022] [Indexed: 12/13/2022]
Abstract
For head and neck squamous cell carcinoma (HNSCC), the local invasion and distant metastasis represent the predominant causes of mortality. Targeted inhibition of chemokines and their receptors is an ongoing antitumor strategy established on the crucial roles of chemokines in cancer invasion and metastasis. Herein, we showed that C-C motif chemokine ligand 2 (CCL2)- C-C motif chemokine receptor 4 (CCR4) signaling, but not the CCL2- C-C motif chemokine receptor 2 (CCR2) axis, induces the formation of the vav guanine nucleotide exchange factor 2 (Vav2)- Rac family small GTPase 1 (Rac1) complex to activate the phosphorylation of myosin light chain (MLC), which is involved in the regulation of cell motility and cancer metastasis. We identified that targeting CCR4 could effectively interrupt the activation of HNSCC invasion and metastasis induced by CCL2 without the promoting cancer relapse observed during the subsequent withdrawal period. All current findings suggested that CCL2-CCR4-Vav2-Rac1-p-MLC signaling plays an essential role in cell migration and cancer metastasis of HNSCC, and CCR4 may serve as a new potential molecular target for HNSCC therapy.
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Affiliation(s)
- Zihang Ling
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China.,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China
| | - Wei Li
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China.,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China
| | - Jiaqi Hu
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China.,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China
| | - Yuanyuan Li
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China.,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China
| | - Miao Deng
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China.,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China
| | - Siyuan Zhang
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China.,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China
| | - Xianyue Ren
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China.,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China
| | - Tong Wu
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China.,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China
| | - Juan Xia
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China. .,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China.
| | - Bin Cheng
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China. .,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China.
| | - Xiaoan Tao
- Hospital of Stomatology, Guanghua School of Stomatology, Sun Yat-sen University, Guangzhou, Guangdong, 510055, P. R. China. .,Guangdong Provincial Key Laboratory of Stomatology, Guangzhou, Guangdong, 510055, P. R. China.
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Karin N. Chemokines in the Landscape of Cancer Immunotherapy: How They and Their Receptors Can Be Used to Turn Cold Tumors into Hot Ones? Cancers (Basel) 2021; 13:6317. [PMID: 34944943 PMCID: PMC8699256 DOI: 10.3390/cancers13246317] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/13/2021] [Accepted: 12/14/2021] [Indexed: 02/07/2023] Open
Abstract
Over the last decade, monoclonal antibodies to immune checkpoint inhibitors (ICI), also known as immune checkpoint blockers (ICB), have been the most successful approach for cancer therapy. Starting with mAb to cytotoxic T lymphocyte antigen 4 (CTLA-4) inhibitors in metastatic melanoma and continuing with blockers of the interactions between program cell death 1 (PD-1) and its ligand program cell death ligand 1 (PDL-1) or program cell death ligand 2 (PDL-2), that have been approved for about 20 different indications. Yet for many cancers, ICI shows limited success. Several lines of evidence imply that the limited success in cancer immunotherapy is associated with attempts to treat patients with "cold tumors" that either lack effector T cells, or in which these cells are markedly suppressed by regulatory T cells (Tregs). Chemokines are a well-defined group of proteins that were so named due to their chemotactic properties. The current review focuses on key chemokines that not only attract leukocytes but also shape their biological properties. CXCR3 is a chemokine receptor with 3 ligands. We suggest using Ig-based fusion proteins of two of them: CXL9 and CXCL10, to enhance anti-tumor immunity and perhaps transform cold tumors into hot tumors. Potential differences between CXCL9 and CXCL10 regarding ICI are discussed. We also discuss the possibility of targeting the function or deleting a key subset of Tregs that are CCR8+ by monoclonal antibodies to CCR8. These cells are preferentially abundant in several tumors and are likely to be the key drivers in suppressing anti-cancer immune reactivity.
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Affiliation(s)
- Nathan Karin
- Department of Immunology, Faculty of Medicine, Technion, P.O. Box 9697, Haifa 31096, Israel
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Identification of a Gene Prognostic Signature for Oral Squamous Cell Carcinoma by RNA Sequencing and Bioinformatics. BIOMED RESEARCH INTERNATIONAL 2021; 2021:6657767. [PMID: 33869632 PMCID: PMC8032525 DOI: 10.1155/2021/6657767] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2020] [Revised: 02/26/2021] [Accepted: 03/12/2021] [Indexed: 01/18/2023]
Abstract
Objectives Oral squamous cell carcinoma (OSCC) is the most common oral cancer and has a poor prognosis. We aimed to identify new biomarkers or potential therapeutic targets for OSCC. Materials and Methods Four pairs of tumor and adjacent normal tissues were collected from OSCC patients, and differentially expressed genes (DEGs) were screened via high-throughput RNA sequencing (RNA-seq). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses were used to analyze the DEGs. A protein-protein interaction (PPI) network was established with the Search Tool for the Retrieval of Interacting Genes/Proteins (STRING) database and Cytoscape, and two significant clusters were found. Candidate genes were screened by analyzing head and neck squamous cell carcinoma (HNSCC) data from The Cancer Genome Atlas (TCGA). A DEG-based risk model was established to predict the overall survival (OS) of OSCC patients via Kaplan-Meier analysis and the log-rank test. Furthermore, univariate Cox regression analysis was applied to assess associations between potential biomarkers and the overall survival rate. Results Of 720 total DEGs, fifty-two DEGs in the two subclusters of the PPI network analysis were selected. A risk model was established, and five candidate genes (SPRR2E, ICOS, CTLA4, HTR1D, and CCR4) were identified as biomarkers of OS in OSCC patients. Conclusions We successfully constructed a prognostic signature to predict prognosis and identified five candidate genes associated with the OS of OSCC patients that are potential tumor biomarkers and targets in OSCC.
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