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Li X. The Predictive Value of BUB1 in the Prognosis of Oral Squamous Cell Carcinoma. Int Dent J 2024:S0020-6539(24)00201-6. [PMID: 39147662 DOI: 10.1016/j.identj.2024.07.012] [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: 04/07/2024] [Revised: 07/09/2024] [Accepted: 07/12/2024] [Indexed: 08/17/2024] Open
Abstract
BACKGROUND Oral squamous cell carcinoma (OSCC) is the most common type of malignant tumour in the oral cavity, and it is known for its poor prognosis. Budding uninhibited by benzimidazoles 1 (BUB1) may be related to cancer prognosis; however, the specific relationship between BUB1 and OSCC prognosis remains largely unexplored. METHODS The mRNA levels of BUB1 were analysed using data from the TCGA_OSCC and GSE23558 cohorts. OSCC samples from the TCGA_OSCC dataset were divided into low- and high-BUB1 expression groups based on the median BUB1 level. Furthermore, results of survival analysis, tumour mutation burden (TMB), gene set enrichment analysis (GSEA) pathways, and drug-sensitivity analysis were compared between the 2 groups. RESULTS Based on the data from the TCGA_OSCC and GSE23558 cohorts, BUB1 mRNA levels were significantly upregulated in OSCC tissues compared to healthy controls. Moreover, high expression of BUB1 may serve as an independent indicator of poor prognosis in OSCC. Additionally, patients with high BUB1 expression also exhibited increased levels of immune checkpoints and TMB, suggesting that patients with high BUB1 expression may benefit from immunotherapy. Mechanistically, transcription factors ZFP64, TCF3, and ZNF281 were found to potentially bind to the promoter region of BUB1, thereby regulating its gene expression. Furthermore, GSEA results showed that BUB1 expression was closely related to cell cycle and tumour-related pathways in OSCC. Drug-sensitivity analysis showed that patients with high BUB1 expression may be more sensitive to gemcitabine, paclitaxel, or imatinib. CONCLUSIONS Collectively, results demonstrated that high BUB1 levels may be related to a poor prognosis of OSCC, highlighting its potential as a novel prognostic biomarker for OSCC.
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Affiliation(s)
- Xiaoqian Li
- Department of Stomatology, Tianjin First Central Hospital, Nankai District, Tianjin, P.R. China.
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2
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Shi Q, Xu J, Chen C, Hu X, Wang B, Zeng F, Ren T, Huang Y, Guo W, Tang X, Ji T. Direct contact between tumor cells and platelets initiates a FAK-dependent F3/TGF-β positive feedback loop that promotes tumor progression and EMT in osteosarcoma. Cancer Lett 2024; 591:216902. [PMID: 38641310 DOI: 10.1016/j.canlet.2024.216902] [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: 02/10/2024] [Revised: 03/31/2024] [Accepted: 04/15/2024] [Indexed: 04/21/2024]
Abstract
Platelets have received growing attention for their roles in hematogenous tumor metastasis. However, the tumor-platelet interaction in osteosarcoma (OS) remains poorly understood. Here, using platelet-specific focal adhesion kinase (FAK)-deficient mice, we uncover a FAK-dependent F3/TGF-β positive feedback loop in OS. Disruption of the feedback loop by inhibition of F3, TGF-β, or FAK significantly suppresses OS progression. We demonstrate that OS F3 initiated the feedback loop by increasing platelet TGF-β secretion, and platelet-derived TGF-β promoted OS F3 expression in turn and modulated OS EMT process. Immunofluorescence results indicate platelet infiltration in OS niche and we verified it was mediated by platelet FAK. In addition, platelet FAK was proved to mediate platelet adhesion to OS cells, which was vital for the initiation of F3/TGF-β feedback loop. Collectively, these findings provide a rationale for novel therapeutic strategies targeting tumor-platelet interplay in metastatic OS.
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Affiliation(s)
- Qianyu Shi
- Department of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China; Beijing Key Laboratory of Musculoskeletal Tumor, Beijing, China
| | - Jiuhui Xu
- Department of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China; Beijing Key Laboratory of Musculoskeletal Tumor, Beijing, China
| | - Chenglong Chen
- Department of Orthopedics, Beijing Jishuitan Hospital, Beijing, China
| | - Xueyu Hu
- Beijing Key Laboratory for Genetics of Birth Defects, Beijing Pediatric Research Institute, Beijing, China
| | - Boyang Wang
- Department of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China; Beijing Key Laboratory of Musculoskeletal Tumor, Beijing, China
| | - Fanwei Zeng
- Department of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China; Beijing Key Laboratory of Musculoskeletal Tumor, Beijing, China
| | - Tingting Ren
- Department of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China; Beijing Key Laboratory of Musculoskeletal Tumor, Beijing, China
| | - Yi Huang
- Department of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China; Beijing Key Laboratory of Musculoskeletal Tumor, Beijing, China
| | - Wei Guo
- Department of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China; Beijing Key Laboratory of Musculoskeletal Tumor, Beijing, China
| | - Xiaodong Tang
- Department of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China; Beijing Key Laboratory of Musculoskeletal Tumor, Beijing, China
| | - Tao Ji
- Department of Musculoskeletal Tumor, Peking University People's Hospital, Beijing, China; Beijing Key Laboratory of Musculoskeletal Tumor, Beijing, China
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3
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Yao Y, Wang D, Zheng L, Zhao J, Tan M. Advances in prognostic models for osteosarcoma risk. Heliyon 2024; 10:e28493. [PMID: 38586328 PMCID: PMC10998144 DOI: 10.1016/j.heliyon.2024.e28493] [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: 09/30/2023] [Revised: 03/19/2024] [Accepted: 03/20/2024] [Indexed: 04/09/2024] Open
Abstract
The risk prognosis model is a statistical model that uses a set of features to predict whether an individual will develop a specific disease or clinical outcome. It can be used in clinical practice to stratify disease severity and assess risk or prognosis. With the advancement of large-scale second-generation sequencing technology, along Prognosis models for osteosarcoma are increasingly being developed as large-scale second-generation sequencing technology advances and clinical and biological data becomes more abundant. This expansion greatly increases the number of prognostic models and candidate genes suitable for clinical use. This article will present the predictive effects and reliability of various prognosis models, serving as a reference for their evaluation and application.
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Affiliation(s)
- Yi Yao
- Guangxi Engineering Center in Biomedical Materials for Tissue and Organ Regeneration, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, China
| | - Dapeng Wang
- Guangxi Engineering Center in Biomedical Materials for Tissue and Organ Regeneration, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China
| | - Li Zheng
- Guangxi Engineering Center in Biomedical Materials for Tissue and Organ Regeneration, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, China
| | - Jinmin Zhao
- Guangxi Engineering Center in Biomedical Materials for Tissue and Organ Regeneration, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China
- Department of Orthopedics, The First Affiliated Hospital of Guangxi Medical University, Nanning, 530021, China
| | - Manli Tan
- Guangxi Engineering Center in Biomedical Materials for Tissue and Organ Regeneration, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China
- Collaborative Innovation Centre of Regenerative Medicine and Medical Bioresource Development and Application Co-constructed by the Province and Ministry, The First Affiliated Hospital of Guangxi Medical University, Guangxi Medical University, Nanning, 530021, China
- Life Sciences Institute, Guangxi Medical University, Nanning, 530021, China
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Peng C, Wang Y, Zhang H, Chen P. The platelet-related genes associated with the prognosis of HCC by regulating cycling T cell and prolif-TAMs. Heliyon 2024; 10:e26798. [PMID: 38486758 PMCID: PMC10938119 DOI: 10.1016/j.heliyon.2024.e26798] [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: 05/23/2023] [Revised: 01/15/2024] [Accepted: 02/20/2024] [Indexed: 03/17/2024] Open
Abstract
Accumulating evidence highlighted the important roles of platelets in the prognosis and progression of various tumors. Nevertheless, the role of platelet-related genes (PRGs) in HCC remains limited. In this work, 92 differentially expressed PRGs were described in HCC using TCGA and ICGC databases. Then, based on the different expressions of PRGs, we explored two subtypes and developed the PRGs prognostic signature in HCC. The PRGs signature was an independent prognosis factor associated with immune cell infiltration in HCC. Furthermore, two external validation sets verified the expression and prognosis of the PRGs signature gene in HCC. Finally, scRNA-seq analysis demonstrated that the signature genes (CENPE and KIF2C) were mainly expressed in cycling T cells and prolif-TAMs. Enrichment analysis showed that CENPE and KIF2C regulated the cell cycle and p53 pathways in these cells. In conclusion, this study builds the PRGs-related risk signature of HCC and reveals the potential mechanism by which these signature genes regulate the immune microenvironment in HCC.
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Affiliation(s)
- Chenjia Peng
- School of Mathematics and Computational Science, Hunan First Normal University, Changsha, 410205, PR China
- The National & Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Sciences, Hunan Normal University, Changsha, 410081, PR China
| | - Ying Wang
- The National & Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Sciences, Hunan Normal University, Changsha, 410081, PR China
| | - Hengbo Zhang
- Physical Education Department, First Hunan Normal University, Changsha, 410081, PR China
| | - Ping Chen
- The National & Local Joint Engineering Laboratory of Animal Peptide Drug Development, College of Life Sciences, Hunan Normal University, Changsha, 410081, PR China
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Li Y, Shu Y, Yu K, Ni R, Chu L. Analysis and Regulatory Mechanisms of Platelet-Related Genes in Patients with Ischemic Stroke. Cell Mol Neurobiol 2024; 44:15. [PMID: 38175286 DOI: 10.1007/s10571-023-01433-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Accepted: 11/26/2023] [Indexed: 01/05/2024]
Abstract
It was found that ischemic stroke (IS) was associated with abnormal platelet activity and thrombosis. However, the potential significance of platelet-related genes (PRGs) in IS still needs to be more thorough. This study extracted IS-related transcriptome datasets from the Gene Expression Omnibus (GEO) database. The target genes were obtained by intersecting the differentially expressed genes (DEGs), the module genes related to IS, and PRGs, where the key genes of IS were screened by two machine learning algorithms. The key genes-based diagnostic model was constructed. Gene set enrichment analysis (GSEA) and the immune microenvironment analyses were analyzed targeting key genes in IS. The co-expression, TF-mRNA, and competitive endogenous RNAs (ceRNA) regulatory networks were constructed to reveal the potential regulation of key genes. Potential drugs targeting key genes were predicted as well. Totals of eight target genes were obtained and were associated with immune-related functions. Four platelet-related key genes were acquired, which were related to immunity and energy metabolism. The abnormal expressions of DOCK8, GIMAP5, ICOS were determined by the quantitative real-time polymerase chain reaction (qRT-PCR), and the significant correlations among these key genes were identified. Notably, hsa-miR-17-3p, hsa-miR-3158-3p, hsa-miR-423-3p, and hsa-miR-193a-8p could regulate all key genes at the same time. In addition, Caffeine, Carboplatin, and Vopratelimab were the targeted drugs of these key genes. This study identified four platelet-related key genes of IS, which might help to deepen the understanding of the role of platelet-related genes in the molecular mechanism of IS.
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Affiliation(s)
- Yuan Li
- Department of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China
| | - Yuanlu Shu
- Department of Neurology, Guizhou Medical University, Guiyang, 550004, China
| | - Kun Yu
- Department of Neurology, Guizhou Medical University, Guiyang, 550004, China
| | - Ruihan Ni
- Department of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China
| | - Lan Chu
- Department of Neurology, Affiliated Hospital of Guizhou Medical University, Guiyang, 550004, China.
- Department of Neurology, Guizhou Medical University, Guiyang, 550004, China.
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Zhao S, Gong H, Liang W. Characterization of platelet-related genes and constructing signature combined with immune-related genes for predicting outcomes and immunotherapy response in lung squamous cell carcinoma. Aging (Albany NY) 2023; 15:6969-6992. [PMID: 37477536 PMCID: PMC10415560 DOI: 10.18632/aging.204886] [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: 03/15/2023] [Accepted: 06/26/2023] [Indexed: 07/22/2023]
Abstract
Lung squamous cell carcinoma (LUSC) is a highly malignant subtype of non-small cell lung cancer with poor prognosis. Platelets are known to play a critical role in cancer development and progression, and recent studies suggest that they can also regulate immune response in tumors. However, the relationship between platelet-related genes (PRGs) and LUSC prognosis and tumor microenvironments remains unclear. In this study, we used multiple bioinformatics algorithms to identify 25 dysregulated PRGs that were significantly associated with LUSC prognosis. We found that PRGs were involved in multiple biological processes, particularly in the tumor microenvironment, and that platelet-related scores (PRS) were a risk factor. Additionally, we established a 6-gene prognostic signature combining PRGs and immune-related genes that accurately predicted outcomes and immunotherapy efficacy in LUSC patients. Our study provides a comprehensive analysis of the biological functions and potential therapeutic targets of PRGs in LUSC, which may inform the development of new treatments for this disease.
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Affiliation(s)
- Siyi Zhao
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University and Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou, China
- Department of Clinical Medicine, The First Clinical Medical School of Guangzhou Medical University, Guangzhou, China
| | - Han Gong
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University and Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou, China
- Molecular Biology Research Center and Center for Medical Genetics, School of Life Sciences, Central South University, Changsha, Hunan, China
| | - Wenhua Liang
- Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University and Guangzhou Institute of Respiratory Disease and China State Key Laboratory of Respiratory Disease and National Clinical Research Center for Respiratory Disease, Guangzhou, China
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Zhao Y, Gao J, Fan Y, Xu H, Wang Y, Yao P. A risk score model based on endoplasmic reticulum stress related genes for predicting prognostic value of osteosarcoma. BMC Musculoskelet Disord 2023; 24:519. [PMID: 37353812 DOI: 10.1186/s12891-023-06629-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Accepted: 06/12/2023] [Indexed: 06/25/2023] Open
Abstract
BACKGROUND We aimed to establish an osteosarcoma prognosis prediction model based on a signature of endoplasmic reticulum stress-related genes. METHODS Differentially expressed genes (DEGs) between osteosarcoma with and without metastasis from The Cancer Genome Atlas (TCGA) database were mapped to ERS genes retrieved from Gene Set Enrichment Analysis to select endoplasmic reticulum stress-related DEGs. Subsequently, we constructed a risk score model based on survival-related endoplasmic reticulum stress DEGs and a nomogram of independent survival prognostic factors. Based on the median risk score, we stratified the samples into high- and low-risk groups. The ability of the model was assessed by Kaplan-Meier, receiver operating characteristic curve, and functional analyses. Additionally, the expression of the identified prognostic endoplasmic reticulum stress-related DEGs was verified using real-time quantitative PCR (RT-qPCR). RESULTS In total, 41 endoplasmic reticulum stress-related DEGs were identified in patients with osteosarcoma with metastasis. A risk score model consisting of six prognostic endoplasmic reticulum stress-related DEGs (ATP2A3, ERMP1, FBXO6, ITPR1, NFE2L2, and USP13) was established, and the Kaplan-Meier and receiver operating characteristic curves validated their performance in the training and validation datasets. Age, tumor metastasis, and the risk score model were demonstrated to be independent prognostic clinical factors for osteosarcoma and were used to establish a nomogram survival model. The nomogram model showed similar performance of one, three, and five year-survival rate to the actual survival rates. Nine immune cell types in the high-risk group were found to be significantly different from those in the low-risk group. These survival-related genes were significantly enriched in nine Kyoto Encyclopedia of Genes and Genomes pathways, including cell adhesion molecule cascades, and chemokine signaling pathways. Further, RT-qPCR results demonstrated that the consistency rate of bioinformatics analysis was approximately 83.33%, suggesting the relatively high reliability of the bioinformatics analysis. CONCLUSION We established an osteosarcoma prediction model based on six prognostic endoplasmic reticulum stress-related DEGs that could be helpful in directing personalized treatment.
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Affiliation(s)
- Yong Zhao
- Department of Orthopaedic Surgery, Shengzhou People's Hospital (the First Affiliated Hospital of Zhejiang University Shengzhou Branch), Shaoxing, 312400, Zhejiang, China.
| | - Jijian Gao
- Department of Orthopaedic Surgery, Shengzhou People's Hospital (the First Affiliated Hospital of Zhejiang University Shengzhou Branch), Shaoxing, 312400, Zhejiang, China
| | - Yong Fan
- Department of Orthopaedic Surgery, Shengzhou People's Hospital (the First Affiliated Hospital of Zhejiang University Shengzhou Branch), Shaoxing, 312400, Zhejiang, China
| | - Hongyu Xu
- Department of Orthopaedic Surgery, Shengzhou People's Hospital (the First Affiliated Hospital of Zhejiang University Shengzhou Branch), Shaoxing, 312400, Zhejiang, China
| | - Yun Wang
- Department of Orthopaedic Surgery, Shengzhou People's Hospital (the First Affiliated Hospital of Zhejiang University Shengzhou Branch), Shaoxing, 312400, Zhejiang, China
| | - Pengjie Yao
- Department of Orthopaedic Surgery, Shengzhou People's Hospital (the First Affiliated Hospital of Zhejiang University Shengzhou Branch), Shaoxing, 312400, Zhejiang, China
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Tumor Microenvironment and Metabolism: Role of the Mitochondrial Melatonergic Pathway in Determining Intercellular Interactions in a New Dynamic Homeostasis. Int J Mol Sci 2022; 24:ijms24010311. [PMID: 36613754 PMCID: PMC9820362 DOI: 10.3390/ijms24010311] [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: 11/29/2022] [Revised: 12/17/2022] [Accepted: 12/20/2022] [Indexed: 12/28/2022] Open
Abstract
There is a growing interest in the role of alterations in mitochondrial metabolism in the pathoetiology and pathophysiology of cancers, including within the array of diverse cells that can form a given tumor microenvironment. The 'exhaustion' in natural killer cells and CD8+ t cells as well as the tolerogenic nature of dendritic cells in the tumor microenvironment seems determined by variations in mitochondrial function. Recent work has highlighted the important role played by the melatonergic pathway in optimizing mitochondrial function, limiting ROS production, endogenous antioxidants upregulation and consequent impacts of mitochondrial ROS on ROS-dependent microRNAs, thereby impacting on patterned gene expression. Within the tumor microenvironment, the tumor, in a quest for survival, seeks to 'dominate' the dynamic intercellular interactions by limiting the capacity of cells to optimally function, via the regulation of their mitochondrial melatonergic pathway. One aspect of this is the tumor's upregulation of kynurenine and the activation of the aryl hydrocarbon receptor, which acts to metabolize melatonin and increase the N-acetylserotonin/melatonin ratio, with effluxed N-acetylserotonin acting as a brain-derived neurotrophic factor (BDNF) mimic via its activation of the BDNF receptor, TrkB, thereby increasing the survival and proliferation of tumors and cancer stem-like cells. This article highlights how many of the known regulators of cells in the tumor microenvironment can be downstream of the mitochondrial melatonergic pathway regulation. Future research and treatment implications are indicated.
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