1
|
Gao W, Zhou J, Morshedi M. MicroRNA-34 and gastrointestinal cancers: a player with big functions. Cancer Cell Int 2024; 24:163. [PMID: 38725047 PMCID: PMC11084024 DOI: 10.1186/s12935-024-03338-w] [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: 09/16/2023] [Accepted: 04/18/2024] [Indexed: 05/12/2024] Open
Abstract
It is commonly assumed that gastrointestinal cancer is the most common form of cancer across the globe and is the leading contributor to cancer-related death. The intricate mechanisms underlying the growth of GI cancers have been identified. It is worth mentioning that both non-coding RNAs (ncRNAs) and certain types of RNA, such as circular RNAs (circRNAs), long non-coding RNAs (lncRNAs), and microRNAs (miRNAs), can have considerable impact on the development of gastrointestinal (GI) cancers. As a tumour suppressor, in the group of short non-coding regulatory RNAs is miR-34a. miR-34a silences multiple proto-oncogenes at the post-transcriptional stage by targeting them, which inhibits all physiologically relevant cell proliferation pathways. However, it has been discovered that deregulation of miR-34a plays important roles in the growth of tumors and the development of cancer, including invasion, metastasis, and the tumor-associated epithelial-mesenchymal transition (EMT). Further understanding of miR-34a's molecular pathways in cancer is also necessary for the development of precise diagnoses and effective treatments. We outlined the most recent research on miR-34a functions in GI cancers in this review. Additionally, we emphasize the significance of exosomal miR-34 in gastrointestinal cancers.
Collapse
Affiliation(s)
- Wei Gao
- Department of Gastrointestinal and Hernia and Abdominal Wall Surgery, The First Hospital, China Medical University, Shenyang, 110001, China
| | - Jianping Zhou
- Department of Gastrointestinal and Hernia and Abdominal Wall Surgery, The First Hospital, China Medical University, Shenyang, 110001, China.
| | - Mohammadamin Morshedi
- Research Center for Biochemistry and Nutrition in Metabolic Diseases, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran.
| |
Collapse
|
2
|
Privitera GF, Alaimo S, Caruso A, Ferro A, Forte S, Pulvirenti A. TMBcalc: a computational pipeline for identifying pan-cancer Tumor Mutational Burden gene signatures. Front Genet 2024; 15:1285305. [PMID: 38645485 PMCID: PMC11026579 DOI: 10.3389/fgene.2024.1285305] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 03/11/2024] [Indexed: 04/23/2024] Open
Abstract
Background In the precision medicine era, identifying predictive factors to select patients most likely to benefit from treatment with immunological agents is a crucial and open challenge in oncology. Methods This paper presents a pan-cancer analysis of Tumor Mutational Burden (TMB). We developed a novel computational pipeline, TMBcalc, to calculate the TMB. Our methodology can identify small and reliable gene signatures to estimate TMB from custom targeted-sequencing panels. For this purpose, our pipeline has been trained on top of 17 cancer types data obtained from TCGA. Results Our results show that TMB, computed through the identified signature, strongly correlates with TMB obtained from whole-exome sequencing (WES). Conclusion We have rigorously analyzed the effectiveness of our methodology on top of several independent datasets. In particular we conducted a comprehensive testing on: (i) 126 samples sourced from the TCGA database; few independent whole-exome sequencing (WES) datasets linked to colon, breast, and liver cancers, all acquired from the EGA and the ICGC Data Portal. This rigorous evaluation clearly highlights the robustness and practicality of our approach, positioning it as a promising avenue for driving substantial progress within the realm of clinical practice.
Collapse
Affiliation(s)
- Grete Francesca Privitera
- Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy
| | - Salvatore Alaimo
- Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy
| | - Anna Caruso
- Department of Physics and Astronomy, University of Catania, Catania, Italy
| | - Alfredo Ferro
- Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy
| | - Stefano Forte
- Istituto Oncologico del Mediterraneo (IOM) Ricerca, Viagrande, Italy
| | - Alfredo Pulvirenti
- Department of Clinical and Experimental Medicine, Bioinformatics Unit, University of Catania, Catania, Italy
| |
Collapse
|
3
|
Lin D, Zheng T, Huang S, Liu R, Guan S, Zhang Z. Identification of a novel macrophage-related prognostic signature in colorectal cancer. Sci Rep 2024; 14:2767. [PMID: 38307957 PMCID: PMC10837438 DOI: 10.1038/s41598-024-53207-9] [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: 06/27/2023] [Accepted: 01/29/2024] [Indexed: 02/04/2024] Open
Abstract
Colorectal cancer (CRC) is one of the most prevalent and deadliest illnesses all around the world. Growing proofs demonstrate that tumor-associated macrophages (TAMs) are of critical importance in CRC pathogenesis, but their mechanisms remain yet unknown. The current research was designed to recognize underlying biomarkers associated with TAMs in CRC. We screened macrophage-related gene modules through WGCNA, selected hub genes utilizing the LASSO algorithm and COX regression, and established a model. External validation was performed by expression analysis using datasets GSE14333, GSE74602, and GSE87211. After validating the bioinformatics results using real-time quantitative reverse transcription PCR, we identified SPP1, C5AR1, MMP3, TIMP1, ADAM8 as potential biomarkers associated with macrophages in CRC.
Collapse
Affiliation(s)
- Dongfa Lin
- Key Laboratory for Molecular Enzymology and Engineering, The Ministry of Education, Jilin University, School of Life Sciences, Changchun, 130012, China
- Engineering Laboratory for AIDS Vaccine, Jilin University, Changchun 130012, China
- School of Life Sciences, Jilin University, Changchun 130012, China
| | - Tingjin Zheng
- Department of Clinical Laboratory, Quanzhou First Hospital Affiliated to Fujian Medical University, No. 248 East Street, Quanzhou, 362000, Fujian, China
| | - Shangyuan Huang
- Laboratory of Molecular Neurobiology, Sheng Yushou center of Cell Biology and Immunology, Department of Genetics and Developmental Biology, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai, 200240, China
| | - Rui Liu
- School of Life Sciences, Jilin University, Changchun 130012, China
| | - Shuwen Guan
- Key Laboratory for Molecular Enzymology and Engineering, The Ministry of Education, Jilin University, School of Life Sciences, Changchun, 130012, China.
- Engineering Laboratory for AIDS Vaccine, Jilin University, Changchun 130012, China.
- School of Life Sciences, Jilin University, Changchun 130012, China.
| | - Zhishan Zhang
- Department of Clinical Laboratory, Quanzhou First Hospital Affiliated to Fujian Medical University, No. 248 East Street, Quanzhou, 362000, Fujian, China.
| |
Collapse
|
4
|
Zhang WJ, Zhang LP, Lin SJ, Wang CY, Le YG. P2 purinergic receptors regulate the progression of colorectal cancer. Purinergic Signal 2023:10.1007/s11302-023-09983-6. [PMID: 38153612 DOI: 10.1007/s11302-023-09983-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2023] [Accepted: 12/12/2023] [Indexed: 12/29/2023] Open
Abstract
More and more studies have revealed that P2 purinergic receptors play a key role in the progression of colorectal cancer (CRC). P2X and P2Y purinergic receptors can be used as promoters and regulators of CRC and play a dual role in the progression of CRC. CRC microenvironment is rich in ATP and its cleavage products (ADP, AMP, Ado), which act as activators of P2X and P2Y purinergic receptors. The activation of P2X and P2Y purinergic receptors regulates the progression of CRC mainly by regulating the function of immune cells and mediating different signal pathways. In this paper, we focus on the specific mechanisms and functional roles of P2X7, P2Y12, and P2Y2 receptors in the growth and progression of CRC. The antagonistic effects of these selective antagonists of P2X purinergic receptors on the growth, invasion, and metastasis of CRC were further discussed. Moreover, different studies have reported that P2X7 receptor can be used as an effective predictor of patients with CRC. All these indicate that P2 purinergic receptors are a key regulator of CRC. Therefore, antagonizing P2 purinergic receptors may be an innovative treatment for CRC.
Collapse
Affiliation(s)
- Wen-Jun Zhang
- Department of Rehabilitation Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang City, 343000, Jiangxi Province, China
| | - Li-Peng Zhang
- Gastrointestinal Surgery, The Second Affiliated Hospital, Nanchang University, Nanchang City, 343000, Jiangxi Province, China
| | - Si-Jian Lin
- Department of Rehabilitation Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang City, 343000, Jiangxi Province, China
| | - Cheng-Yi Wang
- Department of Rehabilitation Medicine, The Second Affiliated Hospital, Jiangxi Medical College, Nanchang City, 343000, Jiangxi Province, China
| | - Yi-Guan Le
- Gastrointestinal Surgery, The Second Affiliated Hospital, Nanchang University, Nanchang City, 343000, Jiangxi Province, China.
| |
Collapse
|
5
|
Simmen FA, Alhallak I, Simmen RCM. Krüppel-like Factor-9 and Krüppel-like Factor-13: Highly Related, Multi-Functional, Transcriptional Repressors and Activators of Oncogenesis. Cancers (Basel) 2023; 15:5667. [PMID: 38067370 PMCID: PMC10705314 DOI: 10.3390/cancers15235667] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 11/16/2023] [Accepted: 11/27/2023] [Indexed: 02/12/2024] Open
Abstract
Specificity Proteins/Krüppel-like Factors (SP/KLF family) are a conserved family of transcriptional regulators. These proteins share three highly conserved, contiguous zinc fingers in their carboxy-terminus, requisite for binding to cis elements in DNA. Each SP/KLF protein has unique primary sequence within its amino-terminal and carboxy-terminal regions, and it is these regions which interact with co-activators, co-repressors, and chromatin-modifying proteins to support the transcriptional activation and repression of target genes. Krüppel-like Factor 9 (KLF9) and Krüppel-like Factor 13 (KLF13) are two of the smallest members of the SP/KLF family, are paralogous, emerged early in metazoan evolution, and are highly conserved. Paradoxically, while most similar in primary sequence, KLF9 and KLF13 display many distinct roles in target cells. In this article, we summarize the work that has identified the roles of KLF9 (and to a lesser degree KLF13) in tumor suppression or promotion via unique effects on differentiation, pro- and anti-inflammatory pathways, oxidative stress, and tumor immune cell infiltration. We also highlight the great diversity of miRNAs, lncRNAs, and circular RNAs which provide mechanisms for the ubiquitous tumor-specific suppression of KLF9 mRNA and protein. Elucidation of KLF9 and KLF13 in cancer biology is likely to provide new inroads to the understanding of oncogenesis and its prevention and treatments.
Collapse
Affiliation(s)
- Frank A. Simmen
- Department of Physiology & Cell Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (I.A.); (R.C.M.S.)
- The Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| | - Iad Alhallak
- Department of Physiology & Cell Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (I.A.); (R.C.M.S.)
| | - Rosalia C. M. Simmen
- Department of Physiology & Cell Biology, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA; (I.A.); (R.C.M.S.)
- The Winthrop P. Rockefeller Cancer Institute, University of Arkansas for Medical Sciences, Little Rock, AR 72205, USA
| |
Collapse
|
6
|
Ai Y, Wang H, Liu L, Qi Y, Tang S, Tang J, Chen N. Purine and purinergic receptors in health and disease. MedComm (Beijing) 2023; 4:e359. [PMID: 37692109 PMCID: PMC10484181 DOI: 10.1002/mco2.359] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 08/07/2023] [Accepted: 08/10/2023] [Indexed: 09/12/2023] Open
Abstract
Purines and purinergic receptors are widely distributed throughout the human body. Purine molecules within cells play crucial roles in regulating energy metabolism and other cellular processes, while extracellular purines transmit signals through specific purinergic receptors. The ubiquitous purinergic signaling maintains normal neural excitability, digestion and absorption, respiratory movement, and other complex physiological activities, and participates in cell proliferation, differentiation, migration, and death. Pathological dysregulation of purinergic signaling can result in the development of various diseases, including neurodegeneration, inflammatory reactions, and malignant tumors. The dysregulation or dysfunction of purines and purinergic receptors has been demonstrated to be closely associated with tumor progression. Compared with other subtypes of purinergic receptors, the P2X7 receptor (P2X7R) exhibits distinct characteristics (i.e., a low affinity for ATP, dual functionality upon activation, the mediation of ion channels, and nonselective pores formation) and is considered a promising target for antitumor therapy, particularly in patients with poor response to immunotherapy This review summarizes the physiological and pathological significance of purinergic signaling and purinergic receptors, analyzes their complex relationship with tumors, and proposes potential antitumor immunotherapy strategies from tumor P2X7R inhibition, tumor P2X7R overactivation, and host P2X7R activation. This review provides a reference for clinical immunotherapy and mechanism investigation.
Collapse
Affiliation(s)
- Yanling Ai
- Department of OncologyHospital of Chengdu University of Traditional Chinese MedicineChengduChina
| | - Hengyi Wang
- Department of Infectious DiseasesHospital of Chengdu University of Traditional Chinese MedicineChengduChina
| | - Lu Liu
- School of PharmacyChengdu University of Traditional Chinese MedicineChengduChina
| | - Yulin Qi
- Department of OphthalmologyThe First Affiliated Hospital of Guangzhou University of Chinese MedicineGuangzhou University of Chinese MedicineGuangzhouChina
- Postdoctoral Research Station of Guangzhou University of Chinese MedicineGuangzhouChina
| | - Shiyun Tang
- Hospital of Chengdu University of Traditional Chinese MedicineChengduChina
| | - Jianyuan Tang
- TCM Regulating Metabolic Diseases Key Laboratory of Sichuan ProvinceHospital of Chengdu University of Traditional Chinese MedicineChengduChina
| | - Nianzhi Chen
- State Key Laboratory of Ultrasound in Medicine and EngineeringCollege of Biomedical EngineeringChongqing Medical UniversityChongqingChina
| |
Collapse
|
7
|
Zafari N, Bathaei P, Velayati M, Khojasteh-Leylakoohi F, Khazaei M, Fiuji H, Nassiri M, Hassanian SM, Ferns GA, Nazari E, Avan A. Integrated analysis of multi-omics data for the discovery of biomarkers and therapeutic targets for colorectal cancer. Comput Biol Med 2023; 155:106639. [PMID: 36805214 DOI: 10.1016/j.compbiomed.2023.106639] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2022] [Revised: 01/14/2023] [Accepted: 02/05/2023] [Indexed: 02/12/2023]
Abstract
The considerable burden of colorectal cancer and the rising trend in young adults emphasize the necessity of understanding its underlying mechanisms, providing new diagnostic and prognostic markers, and improving therapeutic approaches. Precision medicine is a new trend all over the world and identification of novel biomarkers and therapeutic targets is a step forward towards this trend. In this context, multi-omics data and integrated analysis are being investigated to develop personalized medicine in the management of colorectal cancer. Given the large amount of data from multi-omics approach, data integration and analysis is a great challenge. In this Review, we summarize how statistical and machine learning techniques are applied to analyze multi-omics data and how it contributes to the discovery of useful diagnostic and prognostic biomarkers and therapeutic targets. Moreover, we discuss the importance of these biomarkers and therapeutic targets in the clinical management of colorectal cancer in the future. Taken together, integrated analysis of multi-omics data has great potential for finding novel diagnostic and prognostic biomarkers and therapeutic targets, however, there are still challenges to overcome in future studies.
Collapse
Affiliation(s)
- Nima Zafari
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Parsa Bathaei
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mahla Velayati
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Fatemeh Khojasteh-Leylakoohi
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Basic Sciences Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Majid Khazaei
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Basic Sciences Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hamid Fiuji
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohammadreza Nassiri
- Recombinant Proteins Research Group, The Research Institute of Biotechnology, Ferdowsi University of Mashhad, Mashhad, Iran
| | - Seyed Mahdi Hassanian
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Basic Sciences Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Gordon A Ferns
- Brighton & Sussex Medical School, Division of Medical Education, Falmer, Brighton, Sussex, BN1 9PH, UK
| | - Elham Nazari
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Basic Sciences Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Amir Avan
- Metabolic Syndrome Research Center, Mashhad University of Medical Sciences, Mashhad, Iran; Basic Sciences Research Institute, Mashhad University of Medical Sciences, Mashhad, Iran; Medical Genetics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
| |
Collapse
|
8
|
Zhou L, Yu Y, Wen R, Zheng K, Jiang S, Zhu X, Sui J, Gong H, Lou Z, Hao L, Yu G, Zhang W. Development and Validation of an 8-Gene Signature to Improve Survival Prediction of Colorectal Cancer. Front Oncol 2022; 12:863094. [PMID: 35619909 PMCID: PMC9127348 DOI: 10.3389/fonc.2022.863094] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 03/29/2022] [Indexed: 01/07/2023] Open
Abstract
Background Most prognostic signatures for colorectal cancer (CRC) are developed to predict overall survival (OS). Gene signatures predicting recurrence-free survival (RFS) are rarely reported, and postoperative recurrence results in a poor outcome. Thus, we aim to construct a robust, individualized gene signature that can predict both OS and RFS of CRC patients. Methods Prognostic genes that were significantly associated with both OS and RFS in GSE39582 and TCGA cohorts were screened via univariate Cox regression analysis and Venn diagram. These genes were then submitted to least absolute shrinkage and selection operator (LASSO) regression analysis and followed by multivariate Cox regression analysis to obtain an optimal gene signature. Kaplan-Meier (K-M), calibration curves and receiver operating characteristic (ROC) curves were used to evaluate the predictive performance of this signature. A nomogram integrating prognostic factors was constructed to predict 1-, 3-, and 5-year survival probabilities. Function annotation and pathway enrichment analyses were used to elucidate the biological implications of this model. Results A total of 186 genes significantly associated with both OS and RFS were identified. Based on these genes, LASSO and multivariate Cox regression analyses determined an 8-gene signature that contained ATOH1, CACNB1, CEBPA, EPPHB2, HIST1H2BJ, INHBB, LYPD6, and ZBED3. Signature high-risk cases had worse OS in the GSE39582 training cohort (hazard ratio [HR] = 1.54, 95% confidence interval [CI] = 1.42 to 1.67) and the TCGA validation cohort (HR = 1.39, 95% CI = 1.24 to 1.56) and worse RFS in both cohorts (GSE39582: HR = 1.49, 95% CI = 1.35 to 1.64; TCGA: HR = 1.39, 95% CI = 1.25 to 1.56). The area under the curves (AUCs) of this model in the training and validation cohorts were all around 0.7, which were higher or no less than several previous models, suggesting that this signature could improve OS and RFS prediction of CRC patients. The risk score was related to multiple oncological pathways. CACNB1, HIST1H2BJ, and INHBB were significantly upregulated in CRC tissues. Conclusion A credible OS and RFS prediction signature with multi-cohort and cross-platform compatibility was constructed in CRC. This signature might facilitate personalized treatment and improve the survival of CRC patients.
Collapse
Affiliation(s)
- Leqi Zhou
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Yue Yu
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Rongbo Wen
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Kuo Zheng
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Siyuan Jiang
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Xiaoming Zhu
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Jinke Sui
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Haifeng Gong
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Zheng Lou
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Liqiang Hao
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Guanyu Yu
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| | - Wei Zhang
- Department of Colorectal Surgery, Changhai Hospital, Shanghai, China
| |
Collapse
|
9
|
Zhang H, Xu C, Jiang F, Feng J. A Three-Genes Signature Predicting Colorectal Cancer Relapse Reveals LEMD1 Promoting CRC Cells Migration by RhoA/ROCK1 Signaling Pathway. Front Oncol 2022; 12:823696. [PMID: 35619906 PMCID: PMC9127067 DOI: 10.3389/fonc.2022.823696] [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: 12/10/2021] [Accepted: 03/28/2022] [Indexed: 01/26/2023] Open
Abstract
Objective Colorectal cancer (CRC) patients that experience early relapse consistently exhibit poor survival. However, no effective approach has been developed for the diagnosis and prognosis prediction of postoperative relapsed CRC. Methods Multiple datasets from the GEO database and TCGA database were utilized for bioinformatics analysis. WGCNA analyses and RRA analysis were performed to identify key genes. The COX/Lasso regression model was used to construct the recurrence model. Subsequent in vitro experiments further validated the potential role of the hub genes in CRC. Results A comprehensive analysis was performed on multiple CRC datasets and a CRC recurrence model was constructed containing LEMD1, SERPINE1, and SIAE. After further validation in two independent databases, we selected LEMD1 for in vitro experiments and found that LEMD1 could regulate CRC cell proliferation, migration, invasion, and promote EMT transition. The Rho-GTPase pulldown experiments further indicated that LEMD1 could affect RhoA activity and regulate cytoskeletal dynamics. Finally, we demonstrated that LEMD1 promoted CRC cell migration through the RhoA/ROCK1 signaling pathway. Conclusions In this study, a CRC relapse model consisting of LEMD1, SERPINE1, and SIAE was constructed by comprehensive analysis of multiple CRC datasets. LEMD1 could promote CRC cell migration through the RhoA/ROCK signaling pathway.
Collapse
Affiliation(s)
- Hui Zhang
- Department of General Surgery, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
| | - Chenxin Xu
- Research Center for Clinical Oncology, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
| | - Feng Jiang
- Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China
| | - Jifeng Feng
- Research Center for Clinical Oncology, The Affiliated Cancer Hospital of Nanjing Medical University, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, Nanjing, China
| |
Collapse
|
10
|
Sánchez-Ares M, Cameselle-García S, Abdulkader-Nallib I, Rodríguez-Carnero G, Beiras-Sarasquete C, Puñal-Rodríguez JA, Cameselle-Teijeiro JM. Susceptibility Genes and Chromosomal Regions Associated With Non-Syndromic Familial Non-Medullary Thyroid Carcinoma: Some Pathogenetic and Diagnostic Keys. Front Endocrinol (Lausanne) 2022; 13:829103. [PMID: 35295987 PMCID: PMC8918666 DOI: 10.3389/fendo.2022.829103] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Accepted: 02/07/2022] [Indexed: 12/05/2022] Open
Abstract
Thyroid cancer is the malignant tumor that is increasing most rapidly in the world, mainly at the expense of sporadic papillary thyroid carcinoma. The somatic alterations involved in the pathogenesis of sporadic follicular cell derived tumors are well recognized, while the predisposing alterations implicated in hereditary follicular tumors are less well known. Since the genetic background of syndromic familial non-medullary carcinoma has been well established, here we review the pathogenesis of non-syndromic familial non-medullary carcinoma emphasizing those aspects that may be useful in clinical and pathological diagnosis. Non-syndromic familial non-medullary carcinoma has a complex and heterogeneous genetic basis involving several genes and loci with a monogenic or polygenic inheritance model. Most cases are papillary thyroid carcinoma (classic and follicular variant), usually accompanied by benign thyroid nodules (follicular thyroid adenoma and/or multinodular goiter). The possible diagnostic and prognostic usefulness of the changes in the expression and/or translocation of various proteins secondary to several mutations reported in this setting requires further confirmation. Given that non-syndromic familial non-medullary carcinoma and sporadic non-medullary thyroid carcinoma share the same morphology and somatic mutations, the same targeted therapies could be used at present, if necessary, until more specific targeted treatments become available.
Collapse
Affiliation(s)
- María Sánchez-Ares
- Department of Pathology, Clinical University Hospital of Santiago de Compostela, Health Research Institute of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain
| | - Soledad Cameselle-García
- Department of Medical Oncology, University Hospital Complex of Ourense, Galician Healthcare Service (SERGAS), Ourense, Spain
| | - Ihab Abdulkader-Nallib
- Department of Pathology, Clinical University Hospital of Santiago de Compostela, Health Research Institute of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain
- School of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Gemma Rodríguez-Carnero
- Department of Endocrinology and Nutrition, Clinical University Hospital of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain
| | - Carolina Beiras-Sarasquete
- Department of Surgery, Clinical University Hospital of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain
| | - José Antonio Puñal-Rodríguez
- School of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
- Department of Surgery, Clinical University Hospital of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain
| | - José Manuel Cameselle-Teijeiro
- Department of Pathology, Clinical University Hospital of Santiago de Compostela, Health Research Institute of Santiago de Compostela, Galician Healthcare Service (SERGAS), Santiago de Compostela, Spain
- School of Medicine, University of Santiago de Compostela, Santiago de Compostela, Spain
- *Correspondence: José Manuel Cameselle-Teijeiro,
| |
Collapse
|
11
|
Cai J, Qiu J, Wang H, Sun J, Ji Y. Identification of potential biomarkers in ovarian carcinoma and an evaluation of their prognostic value. ANNALS OF TRANSLATIONAL MEDICINE 2021; 9:1472. [PMID: 34734024 PMCID: PMC8506714 DOI: 10.21037/atm-21-4606] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Accepted: 09/16/2021] [Indexed: 11/06/2022]
Abstract
Background Ovarian cancer is one of the most common malignant tumors in female genital organs, and its incidence rate is high. However, the pathogenesis and prognostic markers of ovarian cancer are unclear. This study sought to screen potential markers of ovarian cancer and to explore their prognostic value. Methods The Cancer Genome Atlas, Gene Expression Omnibus, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases were used in this study. The least absolute shrinkage and selection operator (LASSO), multivariate Cox regression and stepwise regression analysis were chosen to screen genes and construct risk model. Gene Set Enrichment Analysis (GSEA) and an immune-infiltration analysis were performed. Results One hundred thirty two co-expressed genes were found. They involved in metabolism, protein phosphorylation, mitochondria, and immune signaling pathways. Twelve genes significantly related to the survival of ovarian cancer were identified. Eight risk genes (i.e., CACNB1, FAM120B, HOXB2, MED19, PTPN2, SMU1, WAC.AS1, and BCL2L11) were further screened and used to construct the risk model. The risk status might be an independent prognostic factor of ovarian cancer, and most of the biological functions of genes expressed in high-risk ovarian cancer were related to synapse, adhesion, and immune-related functions. The clusters of CD4+ T cells and M2 macrophages were high in high-risk status samples. Conclusions In ovarian cancer, the abnormal expression of 8 genes, including CACNB1, FAM120B, HOXB2, MED19, PTPN2, SMU1, WAC.AS1, and BCL2L11, is closely related to ovarian cancer progression, and these genes can serve as independent prognosis markers of ovarian cancer.
Collapse
Affiliation(s)
- Junyan Cai
- Department of Rehabilitation, Affiliated Hospital of Nantong University, Nantong, China
| | - Jiayi Qiu
- Medical College, Nantong University, Nantong, China
| | - Hongliang Wang
- Department of Neurology, Nantong Sixth People's Hospital, Nantong, China
| | - Jiacheng Sun
- Xinglin College, Nantong University, Nantong, China
| | - Yanan Ji
- Key Laboratory of Neuroregeneration of Jiangsu and Ministry of Education, Nantong University, Nantong, China
| |
Collapse
|
12
|
Li H, Chen L, Zeng H, Liao Q, Ji J, Ma X. Integrative Analysis of Histopathological Images and Genomic Data in Colon Adenocarcinoma. Front Oncol 2021; 11:636451. [PMID: 34646756 PMCID: PMC8504715 DOI: 10.3389/fonc.2021.636451] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2020] [Accepted: 08/31/2021] [Indexed: 02/05/2023] Open
Abstract
Background Colon adenocarcinoma (COAD) is one of the most common malignant tumors in the world. The histopathological features are crucial for the diagnosis, prognosis, and therapy of COAD. Methods We downloaded 719 whole-slide histopathological images from TCIA, and 459 corresponding HTSeq-counts mRNA expression and clinical data were obtained from TCGA. Histopathological image features were extracted by CellProfiler. Prognostic image features were selected by the least absolute shrinkage and selection operator (LASSO) and support vector machine (SVM) algorithms. The co-expression gene module correlated with prognostic image features was identified by weighted gene co-expression network analysis (WGCNA). Random forest was employed to construct an integrative prognostic model and calculate the histopathological-genomic prognosis factor (HGPF). Results There were five prognostic image features and one co-expression gene module involved in the model construction. The time-dependent receiver operating curve showed that the prognostic model had a significant prognostic value. Patients were divided into high-risk group and low-risk group based on the HGPF. Kaplan-Meier analysis indicated that the overall survival of the low-risk group was significantly better than the high-risk group. Conclusions These results suggested that the histopathological image features had a certain ability to predict the survival of COAD patients. The integrative prognostic model based on the histopathological images and genomic features could further improve the prognosis prediction in COAD, which may assist the clinical decision in the future.
Collapse
Affiliation(s)
- Hui Li
- Department of Biotherapy, State Key Laboratory of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.,West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China
| | - Linyan Chen
- Department of Biotherapy, State Key Laboratory of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.,West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China
| | - Hao Zeng
- Department of Biotherapy, State Key Laboratory of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Qimeng Liao
- Department of Biotherapy, State Key Laboratory of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.,West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China
| | - Jianrui Ji
- Department of Biotherapy, State Key Laboratory of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.,West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China
| | - Xuelei Ma
- Department of Biotherapy, State Key Laboratory of Biotherapy, Cancer Center, West China Hospital, Sichuan University, Chengdu, China.,West China Hospital, West China School of Medicine, Sichuan University, Chengdu, China
| |
Collapse
|
13
|
Ma W, Cao Q, She W. Identification and clinical validation of gene signatures with grade and survival in head and neck carcinomas. Braz J Med Biol Res 2021; 54:e11069. [PMID: 34550272 PMCID: PMC8457684 DOI: 10.1590/1414-431x2020e11069] [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: 12/23/2020] [Accepted: 06/15/2021] [Indexed: 11/22/2022] Open
Abstract
This study aimed to explore gene expression profiles that drive malignancy from low- to high-grade head and neck carcinomas (HNC), as well as to analyze their correlations with survival. Gene expressions and clinical data of HNC were downloaded from the Gene Expression Omnibus (GEO) repository. The significantly differential genes (SDGs) between low- and high-grade HNC were screened. Cox regressions were performed to identify prognostic SDGs of progression-free survival (PFS) and disease-specific survival (DSS). The genes were experimentally validated by RT-PCR in clinical tissue specimens. Thirty-five SDGs were identified in 47 low-grade and 30 high-grade HNC samples. Cox regression analyses showed that CXCL14, SLC44A1, and UBD were significantly associated with DSS, and PPP2R2C and SLC44A1 were associated with PFS. Patients were grouped into high-risk or low-risk groups for prognosis based on gene signatures. High-risk patients had significantly shorter DSS and PFS than low-risk patients (P=0.033 and P=0.010, respectively). Multivariate Cox regression showed HPV (P=0.033), lymph node status (P=0.032), and residual status (P<0.044) were independent risk factors for PFS. ROC curves showed the risk score had better efficacy to predict survival both for DSS and PFS (AUC=0.858 and AUC=0.901, respectively). The results showed CXCL14 and SLC44A1 were significantly overexpressed in the low-grade HNC tissues and the UBD were overexpressed in the high-grade HNC tissues. Our results suggested that SDGs had different expression profiles between the low-grade and high-grade HNC, and these genes may serve as prognostic biomarkers to predict survival.
Collapse
Affiliation(s)
- Wei Ma
- Department of Otolaryngology - Head and Neck Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China.,Department of Otolaryngology - Head and Neck Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Qing Cao
- Department of Otolaryngology - Head and Neck Surgery, Clinical Medical College, Yangzhou University, Yangzhou, Jiangsu, China
| | - Wandong She
- Department of Otolaryngology - Head and Neck Surgery, Nanjing Drum Tower Hospital Clinical College of Nanjing Medical University, Nanjing, Jiangsu, China
| |
Collapse
|
14
|
Zhao J, Wang Y, Gao J, Wang Y, Zhong X, Wu X, Li H. A nine-gene signature to improve prognosis prediction of colon carcinoma. Cell Cycle 2021; 20:1021-1032. [PMID: 33985413 DOI: 10.1080/15384101.2021.1919827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2022] Open
Abstract
This study aims to establish a gene model that can robustly and effectively predict the prognosis of colon carcinoma patients via bioinformatics. Data along with clinical information in GSE39582 Series Matrix were firstly downloaded from Gene Expression Omnibus (GEO) database. Next, differentially expressed genes (DEGs) were obtained through "edgeR" analysis. Finally, a risk predication model was established through a series of regression analyses, and then prognostic performance of the model was comprehensively evaluated though Kaplan-Meier and receiver operating characteristic (ROC) analysis. Gene set enrichment analysis (GSEA) was further performed. Totally, 846 DEGs were obtained by analyzing the gene expression data in GSE39582 dataset. A 9-gene signature-based risk predication model was established via regression analyses, and the model-based risk score was formulated as: Riskscore = (-0.1214) * TNFRSF11A + (-0.2617) * TMEM97 + (-0.1041) * LGR5 + 0.0973 * KLK10 + 0.1655 * HOXB8 + 0.227 * FKBP10 + (-0.1312) * CXCL13 + (-0.1316) * CXCL10 + 0.2593 * CD36. Kaplan-Meier curve showed that colon carcinoma patients in the high-risk group had a lower survival rate. GSEA showed that high-risk group and low-risk group displayed significant difference in biological pathways including ECM RECEPTOR INTERACTION. Besides, correlation analysis between the riskscore of the model and clinical features of patients revealed that the model could effectively predict the prognosis of patients in different ages (age>65, age<65) and stages (tumor_stage I/II, tumor_stage III/IV, T3&T4, N0&N1, N2&N3, M0). This study provides a robust model for the prognosis prediction of colon carcinoma, and lays a basis for researching the molecular mechanism underlying the development of colon carcinoma.
Collapse
Affiliation(s)
- Jinlai Zhao
- Department of Gastrointestinal Surgery, Tangshan Central Hospital, Tangshan, China
| | - Yigang Wang
- Department of Anus and Intestine Surgery, Tangshan Central Hospital, Tangshan, China
| | - Jianchao Gao
- Department of Gastrointestinal Surgery, Tangshan Central Hospital, Tangshan, China
| | - Yang Wang
- Department of Gastrointestinal Surgery, Tangshan Central Hospital, Tangshan, China
| | - Xuan Zhong
- Department of Gastrointestinal Surgery, Tangshan Central Hospital, Tangshan, China
| | - Xiaotang Wu
- researcher, Shanghai Engineering Research Center of Pharmaceutical Translation, Shanghai, China
| | - Hua Li
- Department of Gastrointestinal Surgery, Tangshan Central Hospital, Tangshan, China
| |
Collapse
|
15
|
Zhang H, Li M, Kaboli PJ, Ji H, Du F, Wu X, Zhao Y, Shen J, Wan L, Yi T, Wen Q, Li X, Cho CH, Li J, Xiao Z. Identification of cluster of differentiation molecule-associated microRNAs as potential therapeutic targets for gastrointestinal cancer immunotherapy. Int J Biol Markers 2021; 36:22-32. [PMID: 33788641 DOI: 10.1177/17246008211005473] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND Cluster of differentiation molecules are markers of immune cells that have been identified as a potential immunotherapeutic target for cancer treatment. MicroRNAs are small non-coding RNAs that act as tumor suppressors or oncogenes whose importance in diagnosis, prognosis, and treatment of gastric and colorectal cancers has been widely reported. However, their association with cluster of differentiation molecules in gastrointestinal cancers has not been well studied. Therefore, our study aimed to analyze the relationship between microRNAs and cluster of differentiation molecules in gastrointestinal cancers, and to identify cluster of differentiation molecule-associated microRNAs as prognostic biomarkers for gastrointestinal cancer patients. METHODS Targetscan, Starbase, DIANA microT, and miRDB were used to investigate microRNA profiles that might be correlated with cluster of differentiation molecules in gastrointestinal cancers. Moreover, The Cancer Genome Atlas data analysis was used to investigate the association between cluster of differentiation molecules and microRNA expression in patients with gastric, colon, rectal, pancreatic, and esophageal cancers. The Kaplan-Meier plotter was used to identify the association between overall survival and cluster of differentiation molecule-associated microRNA expression in gastrointestinal cancer patients. RESULTS miR-200a, miR-559, and miR-1236 were negatively associated with CD86, CD81, and CD160, respectively, in almost all types of gastrointestinal cancers, which were further verified in the in vitro studies by transfecting microRNA mimics in gastric cancer, colon cancer, pancreatic, and esophageal cell lines. CONCLUSION Our study showed that miR-200a, miR-1236, and miR-559 are identified as cluster of differentiation-associated microRNAs in gastrointestinal cancers, providing a novel perspective to identify new therapeutic targets for cancer immunotherapy in gastrointestinal cancer patients.
Collapse
Affiliation(s)
- Hanyu Zhang
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China
| | - Mingxing Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China
| | - Parham Jabbarzadeh Kaboli
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China
| | - Huijiao Ji
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China
| | - Fukuan Du
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China
| | - Xu Wu
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China
| | - Yueshui Zhao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China
| | - Jing Shen
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China
| | - Lin Wan
- Department of Hematology and Oncology, The Children's Hospital of Soochow, Suzhou, Jiangsu, China
| | - Tao Yi
- School of Chinese Medicine, Hong Kong Baptist University, Hong Kong, China
| | - Qinglian Wen
- Department of Oncology, The Affiliated Hospital of Luzhou Medical College, Luzhou, Sichuan, PR China
| | - Xiang Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China
| | - Chi Hin Cho
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China
| | - Jing Li
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China.,Department of Oncology and Hematology, Hospital (T.C.M.) Affiliated to Southwest Medical University, Luzhou, Sichuan, China
| | - Zhangang Xiao
- Laboratory of Molecular Pharmacology, Department of Pharmacology, School of Pharmacy, Southwest Medical University, Luzhou, Sichuan, PR China.,South Sichuan Institution for Translational Medicine, Luzhou, Sichuan, PR China
| |
Collapse
|
16
|
Chen L, Ke X. MMP7 as a potential biomarker of colon cancer and its prognostic value by bioinformatics analysis. Medicine (Baltimore) 2021; 100:e24953. [PMID: 33655961 PMCID: PMC7939218 DOI: 10.1097/md.0000000000024953] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 01/05/2021] [Accepted: 02/04/2021] [Indexed: 01/04/2023] Open
Abstract
ABSTRACT Colon cancer is one of the most common cancers in the world. To identify the candidate genes in the carcinogenesis and progression of colon cancer, the microarray datasets GSE10950, GSE44861 and GSE74602 were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were identified, and functional enrichment analyses were performed. A total of 176 DEGs were identified, consisting of 55 genes upregulated and 121 genes downregulated in colon cancer tissues compared to non-cancerous tissues. The DEGs were mainly enriched in mineral absorption, nitrogen metabolism and complement and coagulation cascades. By using STRING database analysis, we constructed a coexpression network composed of 140 nodes and 280 edges for the DEGs with a combined score >0.4 and a significant interaction relation. Thirteen hub genes were identified, and poor OS of patients was only associated with high expression of Matrix Metallopeptidase 7 (MMP7), which may be involved in the carcinogenesis, invasion or recurrence of colon cancer. In conclusion, we propose that the DEGs and hub genes identified in the present study may be regarded as diagnostic biomarkers for colon cancer. Moreover, the overexpression of MMP7 may correlate with poor prognosis.
Collapse
Affiliation(s)
- Li Chen
- Department of Colorectal Surgery
| | - Xueying Ke
- Department of General Surgery, Sir Run Run Shaw Hospital, School of Medicine, Zhejiang University, Hangzhou, China
| |
Collapse
|
17
|
Di Virgilio F, Vultaggio-Poma V, Sarti AC. P2X receptors in cancer growth and progression. Biochem Pharmacol 2020; 187:114350. [PMID: 33253643 DOI: 10.1016/j.bcp.2020.114350] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2020] [Revised: 11/20/2020] [Accepted: 11/23/2020] [Indexed: 02/07/2023]
Abstract
It is increasingly appreciated that ion channels have a crucial role in tumors, either as promoters of cancer cell growth, or modulators of immune cell functions, or both. Among ion channels, P2X receptors have a special status because they are gated by ATP, a common and abundant component of the tumor microenvironment. Furthermore, one P2X receptor, i.e. P2X7, may also function as a conduit for ATP release, thus fuelling the increased extracellular ATP level in the tumor interstitium. These findings show that P2X receptors and extracellular ATP are indissoluble partners and key regulators of tumor growth, and suggest the exploitation of the extracellular ATP-P2X partnership to develop innovative therapeutic approaches to cancer.
Collapse
|
18
|
Lei X, Jing J, Zhang M, Guan B, Dong Z, Wang C. Bioinformatic Identification of Hub Genes and Analysis of Prognostic Values in Colorectal Cancer. Nutr Cancer 2020; 73:2568-2578. [PMID: 33153324 DOI: 10.1080/01635581.2020.1841249] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
The purpose of this study is to discover novel hub genes which are helpful for diagnosis, prognosis, and targeted therapy in colorectal cancer (CRC) by using bioinformatics analysis. GSE74602, GSE110225, and GSE113513 were extracted from the gene expression omnibus (GEO). Differentially expressed genes (DEGs) in expression profiles were identified by GEO2R. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses of the DEGs were carried out in the Database for Annotation, Visualization, and Integrated Discovery (DAVID). String database and cytoscape were used for building protein-protein interaction (PPI) network and module analysis. The UALCAN was used for in-depth analysis of data of CRC patients from The Cancer Genome Atlas (TCGA) to identify expression levels and overall survival rates of hub genes. The DEGs included 107 up-regulation genes and 232 down-regulation genes. Twenty-nine (29) hub genes and two significant modules were screened from PPI network. The expression levels of hub genes in TCGA were verified. Survival analysis curve indicated high expression of CCNA2, CCNB1, DLGAP5, were related to high survival rates, and low expression of TIMP1 were associated with high survival rates. These results suggest that DEGs may be the hub genes of CRC, and CCNA2, CCNB1, DLGAP5, TIMP1 may be the potential prognostic markers of CRC.
Collapse
Affiliation(s)
- Xinyi Lei
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Jing Jing
- Department of Endocrinology, Municipal Hospital, Qingdao, China
| | - Miao Zhang
- Department of Respiratory, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Bingsheng Guan
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zhiyong Dong
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Cunchuan Wang
- Department of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| |
Collapse
|
19
|
Tajada S, Villalobos C. Calcium Permeable Channels in Cancer Hallmarks. Front Pharmacol 2020; 11:968. [PMID: 32733237 PMCID: PMC7358640 DOI: 10.3389/fphar.2020.00968] [Citation(s) in RCA: 50] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 06/15/2020] [Indexed: 12/17/2022] Open
Abstract
Cancer, the second cause of death worldwide, is characterized by several common criteria, known as the “cancer hallmarks” such as unrestrained cell proliferation, cell death resistance, angiogenesis, invasion and metastasis. Calcium permeable channels are proteins present in external and internal biological membranes, diffusing Ca2+ ions down their electrochemical gradient. Numerous physiological functions are mediated by calcium channels, ranging from intracellular calcium homeostasis to sensory transduction. Consequently, calcium channels play important roles in human physiology and it is not a surprise the increasing number of evidences connecting calcium channels disorders with tumor cells growth, survival and migration. Multiple studies suggest that calcium signals are augmented in various cancer cell types, contributing to cancer hallmarks. This review focuses in the role of calcium permeable channels signaling in cancer with special attention to the mechanisms behind the remodeling of the calcium signals. Transient Receptor Potential (TRP) channels and Store Operated Channels (SOC) are the main extracellular Ca2+ source in the plasma membrane of non-excitable cells, while inositol trisphosphate receptors (IP3R) are the main channels releasing Ca2+ from the endoplasmic reticulum (ER). Alterations in the function and/or expression of these calcium channels, as wells as, the calcium buffering by mitochondria affect intracellular calcium homeostasis and signaling, contributing to the transformation of normal cells into their tumor counterparts. Several compounds reported to counteract several cancer hallmarks also modulate the activity and/or the expression of these channels including non-steroidal anti-inflammatory drugs (NSAIDs) like sulindac and aspirin, and inhibitors of polyamine biosynthesis, like difluoromethylornithine (DFMO). The possible role of the calcium permeable channels targeted by these compounds in cancer and their action mechanism will be discussed also in the review.
Collapse
Affiliation(s)
- Sendoa Tajada
- Instituto de Biología y Genética Molecular (IBGM), Universidad de Valladolid and Consejo Superior de Investigaciones Científicas (CSIC), Valladolid, Spain
| | - Carlos Villalobos
- Instituto de Biología y Genética Molecular (IBGM), Universidad de Valladolid and Consejo Superior de Investigaciones Científicas (CSIC), Valladolid, Spain
| |
Collapse
|
20
|
Ji BY, You ZH, Cheng L, Zhou JR, Alghazzawi D, Li LP. Predicting miRNA-disease association from heterogeneous information network with GraRep embedding model. Sci Rep 2020; 10:6658. [PMID: 32313121 PMCID: PMC7170854 DOI: 10.1038/s41598-020-63735-9] [Citation(s) in RCA: 39] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 03/16/2020] [Indexed: 12/27/2022] Open
Abstract
In recent years, accumulating evidences have shown that microRNA (miRNA) plays an important role in the exploration and treatment of diseases, so detection of the associations between miRNA and disease has been drawn more and more attentions. However, traditional experimental methods have the limitations of high cost and time- consuming, a computational method can help us more systematically and effectively predict the potential miRNA-disease associations. In this work, we proposed a novel network embedding-based heterogeneous information integration method to predict miRNA-disease associations. More specifically, a heterogeneous information network is constructed by combining the known associations among lncRNA, drug, protein, disease, and miRNA. After that, the network embedding method Learning Graph Representations with Global Structural Information (GraRep) is employed to learn embeddings of nodes in heterogeneous information network. In this way, the embedding representations of miRNA and disease are integrated with the attribute information of miRNA and disease (e.g. miRNA sequence information and disease semantic similarity) to represent miRNA-disease association pairs. Finally, the Random Forest (RF) classifier is used for predicting potential miRNA-disease associations. Under the 5-fold cross validation, our method obtained 85.11% prediction accuracy with 80.41% sensitivity at the AUC of 91.25%. In addition, in case studies of three major Human diseases, 45 (Colon Neoplasms), 42 (Breast Neoplasms) and 44 (Esophageal Neoplasms) of top-50 predicted miRNAs are respectively verified by other miRNA-disease association databases. In conclusion, the experimental results suggest that our method can be a powerful and useful tool for predicting potential miRNA-disease associations.
Collapse
Affiliation(s)
- Bo-Ya Ji
- Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhu-Hong You
- Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China. .,University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Li Cheng
- Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China.
| | - Ji-Ren Zhou
- Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China
| | - Daniyal Alghazzawi
- Department of Information Systems, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Li-Ping Li
- Xinjiang Technical Institutes of Physics and Chemistry, Chinese Academy of Sciences, Urumqi, 830011, China
| |
Collapse
|
21
|
Sarquis M, Moraes DC, Bastos-Rodrigues L, Azevedo PG, Ramos AV, Reis FV, Dande PV, Paim I, Friedman E, De Marco L. Germline Mutations in Familial Papillary Thyroid Cancer. Endocr Pathol 2020; 31:14-20. [PMID: 32034658 DOI: 10.1007/s12022-020-09607-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
Thyroid cancer, predominantly of papillary histology (PTC), is a common cancer mostly diagnosed sporadically. Hereditary PTC is encountered in ~ 5% of cases and may present at an earlier age, with greater risks of metastasis and recurrence, compared with sporadic cases. The molecular basis of hereditary PTC is unknown in most cases. In this study, the genetic basis of hereditary PTC in three Brazilian families was investigated. Whole exome sequencing (WES) was carried out for probands in each family, and validated, pathogenic/likely pathogenic sequence variants (P/LPSVs) were genotyped in additional family members to establish their putative pathogenic role. Overall, seven P/LPSVs in seven novel genes were detected: p.D283N*ANXA3, p.Y157S*NTN4, p.G172W*SERPINA1, p.G188S*FKBP10, p.R937C*PLEKHG5, p.L32Q*P2RX5, and p.Q76*SAPCD1. These results indicate that these novel genes are seemingly associated with hereditary PTC, but extension and validation in other PTC families are required.
Collapse
Affiliation(s)
- Marta Sarquis
- Department of Medicine, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Debora C Moraes
- Department of Surgery, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Luciana Bastos-Rodrigues
- Department of Nutrition, Faculdade de Enfermagem, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Pedro G Azevedo
- Department of Surgery, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | | | - Fabiana Versiani Reis
- Department of Surgery, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Paula V Dande
- Department of Surgery, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Isabela Paim
- Department of Surgery, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil
| | - Eitan Friedman
- The Suzanne Levy Gertner Oncogenetics Unit, Chaim Sheba Medical Center, Chaim Sheba Medical Center, Tel-Hashomer, Israel
- The Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel
| | - Luiz De Marco
- Department of Surgery, Faculdade de Medicina, Universidade Federal de Minas Gerais, Belo Horizonte, Brazil.
| |
Collapse
|
22
|
Iwaki H, Blauwendraat C, Leonard HL, Kim JJ, Liu G, Maple-Grødem J, Corvol JC, Pihlstrøm L, van Nimwegen M, Hutten SJ, Nguyen KDH, Rick J, Eberly S, Faghri F, Auinger P, Scott KM, Wijeyekoon R, Van Deerlin VM, Hernandez DG, Gibbs JR, Chitrala KN, Day-Williams AG, Brice A, Alves G, Noyce AJ, Tysnes OB, Evans JR, Breen DP, Estrada K, Wegel CE, Danjou F, Simon DK, Andreassen O, Ravina B, Toft M, Heutink P, Bloem BR, Weintraub D, Barker RA, Williams-Gray CH, van de Warrenburg BP, Van Hilten JJ, Scherzer CR, Singleton AB, Nalls MA. Genomewide association study of Parkinson's disease clinical biomarkers in 12 longitudinal patients' cohorts. Mov Disord 2019; 34:1839-1850. [PMID: 31505070 PMCID: PMC7017876 DOI: 10.1002/mds.27845] [Citation(s) in RCA: 87] [Impact Index Per Article: 17.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2019] [Revised: 07/17/2019] [Accepted: 07/24/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Several reports have identified different patterns of Parkinson's disease progression in individuals carrying missense variants in GBA or LRRK2 genes. The overall contribution of genetic factors to the severity and progression of Parkinson's disease, however, has not been well studied. OBJECTIVES To test the association between genetic variants and the clinical features of Parkinson's disease on a genomewide scale. METHODS We accumulated individual data from 12 longitudinal cohorts in a total of 4093 patients with 22,307 observations for a median of 3.81 years. Genomewide associations were evaluated for 25 cross-sectional and longitudinal phenotypes. Specific variants of interest, including 90 recently identified disease-risk variants, were also investigated post hoc for candidate associations with these phenotypes. RESULTS Two variants were genomewide significant. Rs382940(T>A), within the intron of SLC44A1, was associated with reaching Hoehn and Yahr stage 3 or higher faster (hazard ratio 2.04 [1.58-2.62]; P value = 3.46E-8). Rs61863020(G>A), an intergenic variant and expression quantitative trait loci for α-2A adrenergic receptor, was associated with a lower prevalence of insomnia at baseline (odds ratio 0.63 [0.52-0.75]; P value = 4.74E-8). In the targeted analysis, we found 9 associations between known Parkinson's risk variants and more severe motor/cognitive symptoms. Also, we replicated previous reports of GBA coding variants (rs2230288: p.E365K; rs75548401: p.T408M) being associated with greater motor and cognitive decline over time, and an APOE E4 tagging variant (rs429358) being associated with greater cognitive deficits in patients. CONCLUSIONS We identified novel genetic factors associated with heterogeneity of Parkinson's disease. The results can be used for validation or hypothesis tests regarding Parkinson's disease. © 2019 International Parkinson and Movement Disorder Society.
Collapse
Affiliation(s)
- Hirotaka Iwaki
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
- Data Tecnica International, Glen Echo, Maryland, USA
| | - Cornelis Blauwendraat
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Hampton L. Leonard
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
- Data Tecnica International, Glen Echo, Maryland, USA
| | - Jonggeol J. Kim
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Ganqiang Liu
- School of Medicine, Sun Yat-sen University, Guangzhou, Guangdong, China
- Advanced Center for Parkinson’s Disease Research, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Precision Neurology Program, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Jodi Maple-Grødem
- The Norwegian Centre for Movement Disorders, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Engineering, University in Stavanger, Stavanger, Norway
| | - Jean-Christophe Corvol
- Assistance-Publique Hôpitaux de Paris, ICM, INSERM UMRS 1127, CNRS 7225, ICM, Department of Neurology and CIC Neurosciences, Pitié-Salpêtrière Hospital, Paris, France
| | - Lasse Pihlstrøm
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Marlies van Nimwegen
- Radboud University Medical Centre, Donders Institute for Brain, Cognition, and Behaviour; Department of Neurology, Nijmegen, The Netherlands
| | - Samantha J. Hutten
- The Michael J. Fox Foundation for Parkinson’s Research, New York, New York, USA
| | | | - Jacqueline Rick
- Department of Neurology University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Shirley Eberly
- Department of Biostatistics and Computational Biology, University of Rochester, Rochester, New York, USA
| | - Faraz Faghri
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
- Department of Computer Science, University of Illinois Urbana-Champaign, Champaign, Illinois, USA
| | - Peggy Auinger
- Department of Neurology, Center for Health + Technology, University of Rochester, Rochester, New York, USA
| | - Kirsten M. Scott
- Department of Clinical Neurosciences, University of Cambridge, John van Geest Centre for Brain Repair, Cambridge, United Kingdom
| | - Ruwani Wijeyekoon
- Department of Clinical Neurosciences, University of Cambridge, John van Geest Centre for Brain Repair, Cambridge, United Kingdom
| | - Vivianna M. Van Deerlin
- Department of Pathology and Laboratory Medicine, Center for Neurodegenerative Disease Research, Parelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Dena G. Hernandez
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - J. Raphael Gibbs
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | | | - Kumaraswamy Naidu Chitrala
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore, Maryland, USA
| | - Aaron G. Day-Williams
- Flagship Labs 60 Inc, Cambridge, Massachusetts, USA
- Statistical Genetics, Biogen, Cambridge, Massachusetts, USA
| | - Alexis Brice
- Institut du cerveau et de la moelle épinière ICM, Paris, France
- Sorbonne Université SU, Paris, France
- INSERM UMR1127, Paris, France
| | - Guido Alves
- The Norwegian Centre for Movement Disorders, Stavanger University Hospital, Stavanger, Norway
- Department of Chemistry, Bioscience and Environmental Engineering, University in Stavanger, Stavanger, Norway
- Department of Neurology, Stavanger University Hospital, Stavanger, Norway
| | - Alastair J. Noyce
- Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London, United Kingdom
- Department of Clinical and Movement Neurosciences, UCL Institute of Neurology, London, United Kingdom
| | - Ole-Bjørn Tysnes
- Department of Neurology, Haukeland University Hospital, Bergen, Norway
- University of Bergen, Bergen, Norway
| | - Jonathan R. Evans
- Department of Neurology, Nottingham University NHS Trust, Nottingham, United Kingdom
| | - David P. Breen
- Centre for Clinical Brain Sciences, University of Edinburgh, Edinburgh, Scotland
- Anne Rowling Regenerative Neurology Clinic, University of Edinburgh, Edinburgh, Scotland
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland
| | - Karol Estrada
- Translational Genome Sciences, Biogen, Cambridge, Massachusetts, USA
| | - Claire E. Wegel
- Department of Medical and Molecular Genetics, Indiana University, Indianapolis, Indiana, USA
| | - Fabrice Danjou
- Institut du cerveau et de la moelle épinière ICM, Paris, France
| | - David K. Simon
- Department of Neurology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Ole Andreassen
- NORMENT, Institute of Clinical Medicine, University of Oslo, Oslo, Norway, Norway
- Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway, Norway
| | - Bernard Ravina
- Voyager Therapeutics, Cambridge, Massachusetts, USA
- Department of Neurology, University of Rochester School of Medicine, Rochester, New York, USA
| | - Mathias Toft
- Department of Neurology, Oslo University Hospital, Oslo, Norway
- Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Peter Heutink
- German Center for Neurodegenerative Diseases-Tubingen, Tuebingen, Germany
- HIH Tuebingen, Tubingen, Tuebingen, Germany
| | - Bastiaan R. Bloem
- Radboud University Medical Centre, Donders Institute for Brain, Cognition, and Behaviour; Department of Neurology, Nijmegen, The Netherlands
| | - Daniel Weintraub
- Department of Psychiatry, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania, USA
- Department of Veterans Affairs, Philadelphia, Pennsylvania, USA
| | - Roger A. Barker
- Department of Clinical Neurosciences, University of Cambridge, Cambridge, United Kingdom
| | | | - Bart P. van de Warrenburg
- Radboud University Medical Centre, Donders Institute for Brain, Cognition, and Behaviour; Department of Neurology, Nijmegen, The Netherlands
| | | | - Clemens R. Scherzer
- Advanced Center for Parkinson’s Disease Research, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts, USA
- Precision Neurology Program, Harvard Medical School, Brigham and Women’s Hospital, Boston, Massachusetts, USA
| | - Andrew B. Singleton
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
| | - Mike A. Nalls
- Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland, USA
- Data Tecnica International, Glen Echo, Maryland, USA
| |
Collapse
|
23
|
Haworth AS, Brackenbury WJ. Emerging roles for multifunctional ion channel auxiliary subunits in cancer. Cell Calcium 2019; 80:125-140. [PMID: 31071485 PMCID: PMC6553682 DOI: 10.1016/j.ceca.2019.04.005] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2019] [Revised: 04/16/2019] [Accepted: 04/16/2019] [Indexed: 02/07/2023]
Abstract
Several superfamilies of plasma membrane channels which regulate transmembrane ion flux have also been shown to regulate a multitude of cellular processes, including proliferation and migration. Ion channels are typically multimeric complexes consisting of conducting subunits and auxiliary, non-conducting subunits. Auxiliary subunits modulate the function of conducting subunits and have putative non-conducting roles, further expanding the repertoire of cellular processes governed by ion channel complexes to processes such as transcellular adhesion and gene transcription. Given this expansive influence of ion channels on cellular behaviour it is perhaps no surprise that aberrant ion channel expression is a common occurrence in cancer. This review will focus on the conducting and non-conducting roles of the auxiliary subunits of various Ca2+, K+, Na+ and Cl- channels and the burgeoning evidence linking such auxiliary subunits to cancer. Several subunits are upregulated (e.g. Cavβ, Cavγ) and downregulated (e.g. Kvβ) in cancer, while other subunits have been functionally implicated as oncogenes (e.g. Navβ1, Cavα2δ1) and tumour suppressor genes (e.g. CLCA2, KCNE2, BKγ1) based on in vivo studies. The strengthening link between ion channel auxiliary subunits and cancer has exposed these subunits as potential biomarkers and therapeutic targets. However further mechanistic understanding is required into how these subunits contribute to tumour progression before their therapeutic potential can be fully realised.
Collapse
Affiliation(s)
- Alexander S Haworth
- Department of Biology, University of York, Heslington, York, YO10 5DD, UK; York Biomedical Research Institute, University of York, Heslington, York, YO10 5DD, UK
| | - William J Brackenbury
- Department of Biology, University of York, Heslington, York, YO10 5DD, UK; York Biomedical Research Institute, University of York, Heslington, York, YO10 5DD, UK.
| |
Collapse
|
24
|
Mao Y, Fu Z, Zhang Y, Dong L, Zhang Y, Zhang Q, Li X, Wang C. A six-microRNA risk score model predicts prognosis in esophageal squamous cell carcinoma. J Cell Physiol 2018; 234:6810-6819. [PMID: 30387125 DOI: 10.1002/jcp.27429] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2018] [Accepted: 08/23/2018] [Indexed: 12/13/2022]
Abstract
Esophageal cancer ranks the eighth most common cancer and the sixth most common cause of cancer death worldwide. MicroRNAs (miRNAs) are small noncoding RNAs that regulate a wide variety of cancer-related cellular processes. In the current study, a series of previously published gene expression microarray data from Gene Expression Ominus and The Cancer Genome Atlas were downloaded and further divided into training, internal, and external validation sets. Least absolute shrinkage and selectionator operator Cox regression model along with 10-fold cross-validation was performed to select the miRNAs associated with the prognosis of esophageal squamous cell carcinoma (ESCC) and constructed a six-miRNA signature. Then the prediction accuracy of this signature was assessed in validation and test set using Kaplan-Meier analysis, time-dependent receiver operating characteristic (ROC) curves and dynamic area under the ROC curve. According to the result, the prediction accuracy of miRNA signature was much better than that of tumor-node-metastasis (TNM) stage in all the three sets. Stratified analysis also demonstrated that the predict ability of this signature was independent of TNM stage. Finally, function experiments including apoptosis and colony formation assay were performed to further reveal the regulatory role of miRNAs in ESCC. Our study demonstrated the promising potential application of this novel six-miRNA signature as an independent biomarker for survival prediction of ESCC patients.
Collapse
Affiliation(s)
- Yu Mao
- Department of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Zhanzhao Fu
- Department of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Yunjie Zhang
- Department of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Lixin Dong
- Department of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Yanqiu Zhang
- Department of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Qiang Zhang
- Department of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Xin Li
- Department of Oncology, The First Hospital of Qinhuangdao, Qinhuangdao, China
| | - Chao Wang
- Department of Thoracic Surgery, The First Hospital of Qinhuangdao, Qinhuangdao, China
| |
Collapse
|
25
|
Zhang Y, Wang G. MicroRNA-183 inhibits A375 human melanoma cell migration and invasion by targeting Ezrin and MMP-9. Oncol Lett 2018; 17:548-554. [PMID: 30655800 DOI: 10.3892/ol.2018.9603] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2017] [Accepted: 06/28/2018] [Indexed: 12/13/2022] Open
Abstract
To assess the influence of microRNA-183 (miR-183) on the migration and invasion of A375 human melanoma cells, an A375 cell line with stable miR-183 overexpression or knockdown was constructed using lentiviral transfection. The change of miR-183 expression in these cells and in non-transfected controls was verified using reverse transcription-quantitative polymerase chain reaction. The impact of miR-183 on experimental A375 cell migration and invasion was assessed using a scratch and Transwell assay. The expression of Ezrin and matrix metalloprotease-9 (MMP-9), which are two mediator proteins that serve roles in tumor cell migration and invasion, were analyzed in each cell group via western blotting. The results of the present study indicated that miR-183 overexpression significantly inhibits A375 cell migration and invasion, which may be facilitated by miR-183 knockdown. Furthermore, Ezrin and MMP-9 protein levels were negatively associated with miR-183 expression, indicating that miR-183 may function as a tumor suppressor by inhibiting the expression of these two proteins. Additionally, miR-183 downregulation may be associated with the progression of melanoma.
Collapse
Affiliation(s)
- Yusen Zhang
- Department of Plastic Surgery, People's Hospital of Zhengzhou, Henan Agricultural University, Zhengzhou, Henan 450000, P.R. China
| | - Guoqiang Wang
- Key Laboratory of Animal Biochemistry and Nutrition, Ministry of Agriculture, Henan Agricultural University, Zhengzhou, Henan 450000, P.R. China
| |
Collapse
|