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An L, Li M, Jia Q. Mechanisms of radiotherapy resistance and radiosensitization strategies for esophageal squamous cell carcinoma. Mol Cancer 2023; 22:140. [PMID: 37598158 PMCID: PMC10439611 DOI: 10.1186/s12943-023-01839-2] [Citation(s) in RCA: 55] [Impact Index Per Article: 27.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Accepted: 08/02/2023] [Indexed: 08/21/2023] Open
Abstract
Esophageal squamous cell carcinoma (ESCC) is the sixth most common cause of cancer-related mortality worldwide, with more than half of them occurred in China. Radiotherapy (RT) has been widely used for treating ESCC. However, radiation-induced DNA damage response (DDR) can promote the release of cytokines and chemokines, and triggers inflammatory reactions and changes in the tumor microenvironment (TME), thereby inhibiting the immune function and causing the invasion and metastasis of ESCC. Radioresistance is the major cause of disease progression and mortality in cancer, and it is associated with heterogeneity. Therefore, a better understanding of the radioresistance mechanisms may generate more reversal strategies to improve the cure rates and survival periods of ESCC patients. We mainly summarized the possible mechanisms of radioresistance in order to reveal new targets for ESCC therapy. Then we summarized and compared the current strategies to reverse radioresistance.
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Affiliation(s)
- Lingbo An
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China
- College of Medical Technology, Xi'an Medical University, Xi'an, China
| | - Mingyang Li
- State Key Laboratory of Cancer Biology, Department of Pathology, Xijing Hospital and School of Basic Medicine, Fourth Military Medical University, Xi'an, China.
| | - Qingge Jia
- Department of Reproductive Medicine, Xi'an International Medical Center Hospital, Northwest University, Xi'an, China.
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2
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Gregory GE, Jones AP, Haley MJ, Hoyle C, Zeef LAH, Lin IH, Coope DJ, King AT, Evans DG, Paszek P, Couper KN, Brough D, Pathmanaban ON. The comparable tumour microenvironment in sporadic and NF2-related schwannomatosis vestibular schwannoma. Brain Commun 2023; 5:fcad197. [PMID: 37680691 PMCID: PMC10481781 DOI: 10.1093/braincomms/fcad197] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 06/06/2023] [Accepted: 07/17/2023] [Indexed: 09/09/2023] Open
Abstract
Bilateral vestibular schwannoma is the hallmark of NF2-related schwannomatosis, a rare tumour predisposition syndrome associated with a lifetime of surgical interventions, radiotherapy and off-label use of the anti-angiogenic drug bevacizumab. Unilateral vestibular schwannoma develops sporadically in non-NF2-related schwannomatosis patients for which there are no drug treatment options available. Tumour-infiltrating immune cells such as macrophages and T-cells correlate with increased vestibular schwannoma growth, which is suggested to be similar in sporadic and NF2-related schwannomatosis tumours. However, differences between NF2-related schwannomatosis and the more common sporadic disease include NF2-related schwannomatosis patients presenting an increased number of tumours, multiple tumour types and younger age at diagnosis. A comparison of the tumour microenvironment in sporadic and NF2-related schwannomatosis tumours is therefore required to underpin the development of immunotherapeutic targets, identify the possibility of extrapolating ex vivo data from sporadic vestibular schwannoma to NF2-related schwannomatosis and help inform clinical trial design with the feasibility of co-recruiting sporadic and NF2-related schwannomatosis patients. This study drew together bulk transcriptomic data from three published Affymetrix microarray datasets to compare the gene expression profiles of sporadic and NF2-related schwannomatosis vestibular schwannoma and subsequently deconvolved to predict the abundances of distinct tumour immune microenvironment populations. Data were validated using quantitative PCR and Hyperion imaging mass cytometry. Comparative bioinformatic analyses revealed close similarities in NF2-related schwannomatosis and sporadic vestibular schwannoma tumours across the three datasets. Significant inflammatory markers and signalling pathways were closely matched in NF2-related schwannomatosis and sporadic vestibular schwannoma, relating to the proliferation of macrophages, angiogenesis and inflammation. Bulk transcriptomic and imaging mass cytometry data identified macrophages as the most abundant immune population in vestibular schwannoma, comprising one-third of the cell mass in both NF2-related schwannomatosis and sporadic tumours. Importantly, there were no robust significant differences in signalling pathways, gene expression, cell type abundance or imaging mass cytometry staining between NF2-related schwannomatosis and sporadic vestibular schwannoma. These data indicate strong similarities in the tumour immune microenvironment of NF2-related schwannomatosis and sporadic vestibular schwannoma.
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Affiliation(s)
- Grace E Gregory
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Adam Paul Jones
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Michael J Haley
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Christopher Hoyle
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Leo A H Zeef
- Bioinformatics Core Facility, University of Manchester, Manchester, UK
| | - I-Hsuan Lin
- Bioinformatics Core Facility, University of Manchester, Manchester, UK
| | - David J Coope
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - Andrew T King
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- Division of Cardiovascular Sciences, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
| | - D Gareth Evans
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, 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, UK
| | - Pawel Paszek
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - Kevin N Couper
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
- Division of Immunology, Immunity to Infection and Respiratory Medicine, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK
| | - David Brough
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
| | - Omar N Pathmanaban
- Division of Neuroscience, School of Biological Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester Academic Health Science Centre, Manchester, UK
- Geoffrey Jefferson Brain Research Centre, The Manchester Academic Health Science Centre, Northern Care Alliance NHS Foundation Trust, University of Manchester, Manchester, UK
- The Lydia Becker Institute of Immunology and Inflammation, University of Manchester, Manchester, UK
- Department of Neurosurgery, Manchester Centre for Clinical Neurosciences, Salford Royal Hospital, Northern Care Alliance NHS Foundation Trust, Salford, UK
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Lu J, Tan J, Yu X. A prognostic model based on tumor microenvironment-related lncRNAs predicts therapy response in pancreatic cancer. Funct Integr Genomics 2023; 23:32. [PMID: 36625842 DOI: 10.1007/s10142-023-00964-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 12/21/2022] [Accepted: 01/02/2023] [Indexed: 01/11/2023]
Abstract
Pancreatic cancer is an aggressive malignant tumor with high mortality and a low survival rate. The immune and stromal cells that infiltrate in the tumor microenvironment (TME) significantly impact immunotherapy and drug responses. Therefore, we identify the TME-related lncRNAs to develop a prognostic model for predicting the therapy efficacy in pancreatic cancer patients. Firstly, we identified differentially expressed genes (DEGs) for weighted gene co-expression network analysis (WGCNA) to identify the TME-related module eigengenes. According to the module eigengenes, the TME-related prognostic lncRNAs were screened through the univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox analyses to construct a prognostic risk score (RS) model. Next, the predictive power of this model was evaluated by the time-dependent receiver operating characteristic (ROC) curve and Kaplan-Meier analyses. In addition, functional enrichment, immune cell infiltration, and somatic mutation analyses were performed. Finally, tumor immune dysfunction and exclusion (TIDE) score and drug sensitivity analyses were applied to predict therapy response. In this study, 11 TME-related prognostic lncRNAs were identified to develop the prognostic RS model. According to the RS, the low-risk patients had a better prognosis, lower rates of somatic mutation, lower TIDE scores, and higher sensitivity to gemcitabine and paclitaxel compared to high-risk patients. The findings above suggested that low-risk patients may benefit more from immunotherapy, and high-risk patients may benefit more from chemotherapy. Within this study, we established a prognostic RS model based on 11 TME-related lncRNAs, which may help improve clinical decision-making.
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Affiliation(s)
- Jianzhong Lu
- School of Sciences, Shanghai Institute of Technology, Shanghai, 201418, China
| | - Jinhua Tan
- School of Sciences, Shanghai Institute of Technology, Shanghai, 201418, China
| | - Xiaoqing Yu
- School of Sciences, Shanghai Institute of Technology, Shanghai, 201418, China.
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Anwar S, Malik JA, Ahmed S, Kameshwar VA, Alanazi J, Alamri A, Ahemad N. Can Natural Products Targeting EMT Serve as the Future Anticancer Therapeutics? MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27227668. [PMID: 36431766 PMCID: PMC9698579 DOI: 10.3390/molecules27227668] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Revised: 10/24/2022] [Accepted: 11/01/2022] [Indexed: 11/09/2022]
Abstract
Cancer is the leading cause of death and has remained a big challenge for the scientific community. Because of the growing concerns, new therapeutic regimens are highly demanded to decrease the global burden. Despite advancements in chemotherapy, drug resistance is still a major hurdle to successful treatment. The primary challenge should be identifying and developing appropriate therapeutics for cancer patients to improve their survival. Multiple pathways are dysregulated in cancers, including disturbance in cellular metabolism, cell cycle, apoptosis, or epigenetic alterations. Over the last two decades, natural products have been a major research interest due to their therapeutic potential in various ailments. Natural compounds seem to be an alternative option for cancer management. Natural substances derived from plants and marine sources have been shown to have anti-cancer activity in preclinical settings. They might be proved as a sword to kill cancerous cells. The present review attempted to consolidate the available information on natural compounds derived from plants and marine sources and their anti-cancer potential underlying EMT mechanisms.
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Affiliation(s)
- Sirajudheen Anwar
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Hail, Hail 81422, Saudi Arabia
- Molecular Diagnostics Unit and Personalized Treatment, University of Hail, Hail 81422, Saudi Arabia
- Correspondence:
| | - Jonaid Ahmad Malik
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Guwahati 781101, Assam, India
- Department of Biomedical Engineering, Indian Institute of Technology Ropar, Rupnagar 140001, Punjab, India
| | - Sakeel Ahmed
- Department of Pharmacology and Toxicology, National Institute of Pharmaceutical Education and Research, Ahmedabad 382355, Gujarat, India
| | - Verma Abhishek Kameshwar
- Department of Pharmacology, Amrita School of Pharmacy, Amrita Vishwa Vidyapeetham, Kochi 641112, Kerala, India
| | - Jowaher Alanazi
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Hail, Hail 81422, Saudi Arabia
- Molecular Diagnostics Unit and Personalized Treatment, University of Hail, Hail 81422, Saudi Arabia
| | - Abdulwahab Alamri
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Hail, Hail 81422, Saudi Arabia
- Molecular Diagnostics Unit and Personalized Treatment, University of Hail, Hail 81422, Saudi Arabia
| | - Nafees Ahemad
- School of Pharmacy, Monash University Malaysia, Jalan lagoon Selatan, Bandar Sunway, Petaling Jaya 47500, Selangor DE, Malaysia
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