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Sheikh M, Roshandel G, McCormack V, Malekzadeh R. Current Status and Future Prospects for Esophageal Cancer. Cancers (Basel) 2023; 15:765. [PMID: 36765722 PMCID: PMC9913274 DOI: 10.3390/cancers15030765] [Citation(s) in RCA: 27] [Impact Index Per Article: 27.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/10/2023] [Accepted: 01/20/2023] [Indexed: 01/28/2023] Open
Abstract
Esophageal cancer (EC) is the ninth most common cancer and the sixth leading cause of cancer deaths worldwide. Esophageal squamous cell carcinoma (ESCC) and esophageal adenocarcinoma (EAC) are the two main histological subtypes with distinct epidemiological and clinical features. While the global incidence of ESCC is declining, the incidence of EAC is increasing in many countries. Decades of epidemiologic research have identified distinct environmental exposures for ESCC and EAC subtypes. Recent advances in understanding the genomic aspects of EC have advanced our understanding of EC causes and led to using specific genomic alterations in EC tumors as biomarkers for early diagnosis, treatment, and prognosis of this cancer. Nevertheless, the prognosis of EC is still poor, with a five-year survival rate of less than 20%. Currently, there are significant challenges for early detection and secondary prevention for both ESCC and EAC subtypes, but Cytosponge™ is shifting this position for EAC. Primary prevention remains the preferred strategy for reducing the global burden of EC. In this review, we will summarize recent advances, current status, and future prospects of the studies related to epidemiology, time trends, environmental risk factors, prevention, early diagnosis, and treatment for both EC subtypes.
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Affiliation(s)
- Mahdi Sheikh
- Genomic Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), 69007 Lyon, France
| | - Gholamreza Roshandel
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan 49341-74515, Iran
| | - Valerie McCormack
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer (IARC/WHO), 69007 Lyon, France
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran 14117-13135, Iran
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Han J, Guo X, Zhao L, Zhang H, Ma S, Li Y, Zhao D, Wang J, Xue F. Development and Validation of Esophageal Squamous Cell Carcinoma Risk Prediction Models Based on an Endoscopic Screening Program. JAMA Netw Open 2023; 6:e2253148. [PMID: 36701154 PMCID: PMC9880791 DOI: 10.1001/jamanetworkopen.2022.53148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Abstract
IMPORTANCE Assessment tools are lacking for screening of esophageal squamous cell cancer (ESCC) in China, especially for the follow-up stage. Risk prediction to optimize the screening procedure is urgently needed. OBJECTIVE To develop and validate ESCC prediction models for identifying people at high risk for follow-up decision-making. DESIGN, SETTING, AND PARTICIPANTS This open, prospective multicenter diagnostic study has been performed since September 1, 2006, in Shandong Province, China. This study used baseline and follow-up data until December 31, 2021. The data were analyzed between April 6 and May 31, 2022. Eligibility criteria consisted of rural residents aged 40 to 69 years who had no contraindications for endoscopy. Among 161 212 eligible participants, those diagnosed with cancer or who had cancer at baseline, did not complete the questionnaire, were younger than 40 years or older than 69 years, or were detected with severe dysplasia or worse lesions were eliminated from the analysis. EXPOSURES Risk factors obtained by questionnaire and endoscopy. MAIN OUTCOMES AND MEASURES Pathological diagnosis of ESCC and confirmation by cancer registry data. RESULTS In this diagnostic study of 104 129 participants (56.39% women; mean [SD] age, 54.31 [7.64] years), 59 481 (mean [SD] age, 53.83 [7.64] years; 58.55% women) formed the derivation set while 44 648 (mean [SD] age, 54.95 [7.60] years; 53.51% women) formed the validation set. A total of 252 new cases of ESCC were diagnosed during 424 903.50 person-years of follow-up in the derivation cohort and 61 new cases from 177 094.10 person-years follow-up in the validation cohort. Model A included the covariates age, sex, and number of lesions; model B included age, sex, smoking status, alcohol use status, body mass index, annual household income, history of gastrointestinal tract diseases, consumption of pickled food, number of lesions, distinct lesions, and mild or moderate dysplasia. The Harrell C statistic of model A was 0.80 (95% CI, 0.77-0.83) in the derivation set and 0.90 (95% CI, 0.87-0.93) in the validation set; the Harrell C statistic of model B was 0.83 (95% CI, 0.81-0.86) and 0.91 (95% CI, 0.88-0.95), respectively. The models also had good calibration performance and clinical usefulness. CONCLUSIONS AND RELEVANCE The findings of this diagnostic study suggest that the models developed are suitable for selecting high-risk populations for follow-up decision-making and optimizing the cancer screening process.
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Affiliation(s)
- Junming Han
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Healthcare Big Data Research Institute, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Xiaolei Guo
- The Department for Chronic and Noncommunicable Disease Control and Prevention, Shandong Center for Disease Control and Prevention and Academy of Preventive Medicine, Shandong University, Jinan, China
| | - Li Zhao
- Department of Scientific Research and Teaching, Feicheng Hospital Affiliated to Shandong First Medical University, Feicheng, China
| | - Huan Zhang
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Siqi Ma
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Yan Li
- Cancer Prevention and Treatment Center, Feicheng People’s Hospital, Feicheng, China
| | - Deli Zhao
- Cancer Prevention and Treatment Center, Feicheng People’s Hospital, Feicheng, China
| | - Jialin Wang
- School of Public Health, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
- Department of Human Resource, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Healthcare Big Data Research Institute, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China
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Han J, Wang L, Zhang H, Ma S, Li Y, Wang Z, Zhu G, Zhao D, Wang J, Xue F. Development and Validation of an Esophageal Squamous Cell Carcinoma Risk Prediction Model for Rural Chinese: Multicenter Cohort Study. Front Oncol 2021; 11:729471. [PMID: 34527592 PMCID: PMC8435773 DOI: 10.3389/fonc.2021.729471] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 08/06/2021] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND There are rare prediction models for esophageal squamous cell carcinoma (ESCC) for rural Chinese population. We aimed to develop and validate a prediction model for ESCC based on a cohort study for the population. METHODS Data of 115,686 participants were collected from esophageal cancer (EC) early diagnosis and treatment of cancer program as derivation cohort while data of 54,750 participants were collected as validation cohort. Risk factors considered included age, sex, smoking status, alcohol drinking status, body mass index (BMI), tea drinking status, marital status, annual household income, source of drinking water, education level, and diet habit. Cox proportional hazards model was used to develop ESCC prediction model at 5 years. Calibration ability, discrimination ability, and decision curve analysis were analyzed in both derivation and validation cohort. A score model was developed based on prediction model. RESULTS One hundred eighty-six cases were diagnosed during 556,949.40 person-years follow-up in the derivation cohort while 120 cases from 277,302.70 in the validation cohort. Prediction model included the following variables: age, sex, alcohol drinking status, BMI, tea drinking status, and fresh fruit. The model had good discrimination and calibration performance: R 2, D statistic, and Harrell's C statistic of prediction model were 43.56%, 1.70, and 0.798 in derivation cohort and 45.19%, 1.62, and 0.787 in validation cohort. The calibration analysis showed good coherence between predicted probabilities and observed probabilities while decision curve analysis showed clinical usefulness. The score model was as follows: age (3 for 45-49 years old; 4 for 50-54 years old; 7 for 55-59 years old; 9 for 60-64 years; 10 for 65-69 years), sex (5 for men), BMI (1 for ≤25), alcohol drinking status (2 for alcohol drinkers), tea drinking status (2 for tea drinkers), and fresh fruit (2 for never) and showed good discrimination ability with area under the curve and its 95% confidence interval of 0.792 (0.761,0.822) in the deviation cohort and 0.773 (0.736,0.811) in the validation cohort. The calibration analysis showed great coherence between predicted probabilities and observed probabilities. CONCLUSIONS We developed and validated an ESCC prediction model using cohort study with good discrimination and calibration capability which can be used for EC screening for rural Chinese population.
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Affiliation(s)
- Junming Han
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Lijie Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Huan Zhang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Siqi Ma
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
| | - Yan Li
- Cancer Prevention and Treatment Center, Feicheng People’s Hospital, Feicheng, China
| | - Zhongli Wang
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Centre for Health Management and Policy Research, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Gaopei Zhu
- Department of Health Statistics, School of Public Health, Weifang Medical University, Weifang, China
| | - Deli Zhao
- Cancer Prevention and Treatment Center, Feicheng People’s Hospital, Feicheng, China
| | - Jialin Wang
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan, China
- Department of Human Resource, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
- Institute for Medical Dataology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, China
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Du W, Rao N, Dong C, Wang Y, Hu D, Zhu L, Zeng B, Gan T. Automatic classification of esophageal disease in gastroscopic images using an efficient channel attention deep dense convolutional neural network. BIOMEDICAL OPTICS EXPRESS 2021; 12:3066-3081. [PMID: 34221645 DOI: 10.1364/boe.420935] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 04/07/2021] [Accepted: 04/25/2021] [Indexed: 02/05/2023]
Abstract
The accurate diagnosis of various esophageal diseases at different stages is crucial for providing precision therapy planning and improving 5-year survival rate of esophageal cancer patients. Automatic classification of various esophageal diseases in gastroscopic images can assist doctors to improve the diagnosis efficiency and accuracy. The existing deep learning-based classification method can only classify very few categories of esophageal diseases at the same time. Hence, we proposed a novel efficient channel attention deep dense convolutional neural network (ECA-DDCNN), which can classify the esophageal gastroscopic images into four main categories including normal esophagus (NE), precancerous esophageal diseases (PEDs), early esophageal cancer (EEC) and advanced esophageal cancer (AEC), covering six common sub-categories of esophageal diseases and one normal esophagus (seven sub-categories). In total, 20,965 gastroscopic images were collected from 4,077 patients and used to train and test our proposed method. Extensive experiments results have demonstrated convincingly that our proposed ECA-DDCNN outperforms the other state-of-art methods. The classification accuracy (Acc) of our method is 90.63% and the averaged area under curve (AUC) is 0.9877. Compared with other state-of-art methods, our method shows better performance in the classification of various esophageal disease. Particularly for these esophageal diseases with similar mucosal features, our method also achieves higher true positive (TP) rates. In conclusion, our proposed classification method has confirmed its potential ability in a wide variety of esophageal disease diagnosis.
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Affiliation(s)
- Wenju Du
- Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Nini Rao
- Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China.,
| | - Changlong Dong
- Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Yingchun Wang
- Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Dingcan Hu
- Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 610054, China.,School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610054, China
| | - Linlin Zhu
- Digestive Endoscopic Center of West China Hospital, Sichuan University, Chengdu 610017, China
| | - Bing Zeng
- School of Information and Communication Engineering, University Electronic Science and Technology of China, Chengdu 610054, China
| | - Tao Gan
- Digestive Endoscopic Center of West China Hospital, Sichuan University, Chengdu 610017, China.,
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Wei M, Zhao L, Lv J, Li X, Zhou G, Fan B, Shen X, Zhao D, Xue F, Wang J, Zhang T. The mediation effect of serum metabolites on the relationship between long-term smoking exposure and esophageal squamous cell carcinoma. BMC Cancer 2021; 21:415. [PMID: 33858379 PMCID: PMC8050928 DOI: 10.1186/s12885-021-08151-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2021] [Accepted: 04/05/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Long-term smoking exposure will increase the risk of esophageal squamous cell carcinoma (ESCC), whereas the mechanism is still unclear. We conducted a cross-sectional study to explore whether serum metabolites mediate the occurrence of ESCC caused by cigarette smoking. METHODS Serum metabolic profiles and lifestyle information of 464 participants were analyzed. Multiple logistic regression was used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) of smoking exposure to ESCC risk. High-dimensional mediation analysis and univariate mediation analysis were performed to screen potential intermediate metabolites of smoking exposure for ESCC. RESULTS Ever smoking was associated with a 3.11-fold increase of ESCC risk (OR = 3.11, 95% CI 1.63-6.05), and for each cigarette-years increase in smoking index, ESCC risk increased by 56% (OR = 1.56, 95% CI 1.18-2.13). A total of 5 metabolites were screened as mediators by high-dimensional mediation analysis. In addition, glutamine, histidine, and cholic acid were further proved existing mediation effects according to univariate mediation analysis. And the proportions of mediation of histidine and glutamine were 40.47 and 30.00%, respectively. The mediation effect of cholic acid was 8.98% according to the analysis of smoking index. CONCLUSIONS Our findings suggest that cigarette smoking contributed to incident ESCC, which may be mediated by glutamine, histidine and cholic acid.
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Affiliation(s)
- Mengke Wei
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China
| | - Lihong Zhao
- Tumor Preventative and Therapeutic Base of Shandong Province, Feicheng People's Hospital, Feicheng, 271600, China
| | - Jiali Lv
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China
| | - Xia Li
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China.,Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Guangshuai Zhou
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China
| | - Bingbing Fan
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China
| | - Xiaotao Shen
- Interdisciplinary Research Center on Biology and Chemistry, and Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, China
| | - Deli Zhao
- Tumor Preventative and Therapeutic Base of Shandong Province, Feicheng People's Hospital, Feicheng, 271600, China
| | - Fuzhong Xue
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China
| | - Jialin Wang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China.,Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China
| | - Tao Zhang
- Department of Biostatistics, School of Public Health, Cheeloo College of Medicine, Shandong University, PO Box 100, 44 Wenhua Xi Rd, Jinan, 250012, Shandong, China.
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Tarazi M, Chidambaram S, Markar SR. Risk Factors of Esophageal Squamous Cell Carcinoma beyond Alcohol and Smoking. Cancers (Basel) 2021; 13:cancers13051009. [PMID: 33671026 PMCID: PMC7957519 DOI: 10.3390/cancers13051009] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 02/20/2021] [Accepted: 02/24/2021] [Indexed: 12/11/2022] Open
Abstract
Esophageal squamous cell carcinoma (ESCC) is the sixth most common cause of death worldwide. Incidence rates vary internationally, with the highest rates found in Southern and Eastern Africa, and central Asia. Initial observational studies identified multiple factors associated with an increased risk of ESCC, with subsequent work then focused on developing plausible biological mechanistic associations. The aim of this review is to summarize the role of risk factors in the development of ESCC and propose future directions for further research. A systematic search of the literature was conducted by screening EMBASE, MEDLINE/PubMed, and CENTRAL for relevant publications. In total, 73 studies were included that sought to identify risk factors associated with the development of esophageal squamous cell carcinoma. Risk factors were divided into seven subcategories: genetic, dietary and nutrition, gastric atrophy, infection and microbiome, metabolic, epidemiological and environmental and other risk factors. Risk factors from each subcategory were summarized and explored with mechanistic explanations for these associations. This review highlights several current risk factors of ESCC. These risk factors were explored, and explanations dissected. Most studies focused on investigating genetic and dietary and nutritional factors, whereas this review identified other potential risk factors that have yet to be fully explored. Furthermore, there is a lack of literature on the association of these risk factors with tumor factors and disease prognosis. Further research to validate these results and their effects on tumor biology is absolutely necessary.
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Affiliation(s)
- Munir Tarazi
- Department of Surgery and Cancer, Imperial College London, London W2 1NY, UK; (M.T.); (S.C.)
| | - Swathikan Chidambaram
- Department of Surgery and Cancer, Imperial College London, London W2 1NY, UK; (M.T.); (S.C.)
| | - Sheraz R. Markar
- Department of Surgery and Cancer, Imperial College London, London W2 1NY, UK; (M.T.); (S.C.)
- Department of Molecular Medicine and Surgery, Karolinska Institutet, Karolinska University Hospital, 17164 Stockholm, Sweden
- Correspondence:
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Yang Z, Hui Y, Peng H, Zhang H, Li M, Song L, Li F, Cui X. Identification of a PLCE1‑regulated competing endogenous RNA regulatory network for esophageal squamous cell carcinoma. Oncol Rep 2021; 45:857-868. [PMID: 33650665 PMCID: PMC7859920 DOI: 10.3892/or.2021.7921] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2020] [Accepted: 08/26/2020] [Indexed: 02/07/2023] Open
Abstract
Phospholipase C epsilon 1 (PLCE1) and the competing endogenous RNA (ceRNA) network are crucial for tumorigenesis and the progression of esophageal squamous cell carcinoma (ESCC). However, whether PLCE1 can regulate the ceRNA network in ESCC has not been clarified. In the present study, we aimed to identify the PLCE1-regulated ceRNA network and further elucidate the regulatory mechanisms by which ESCC is promoted. Microarray analysis was used to identify differentially expressed lncRNAs (DELs) and differentially expressed genes (DEGs) from three pairs of samples of PLCE-silenced Eca109 and control Eca109 cells. Next, the ceRNA regulatory network was established and visualized in Cytoscape, and functional enrichment analysis was performed to analyze DEGs from ceRNAs. Protein-protein interaction (PPI) networks among the DEGs were established by the STRING database to screen hub genes. Kaplan-Meier survival analysis was used to validate hub genes. Finally, PLCE1-related hub gene/lncRNA/miRNA axes were also constructed based on the ceRNA network. A total of 105 DELs and 346 DEGs were found to be dysregulated in the microarray data (|log2FC| >1.5, adjusted P<0.05). We constructed a PLCE1-regulated ceRNA network that incorporated 12 lncRNAs, 43 miRNAs, and 169 mRNAs. Functional enrichment analysis indicated that the DEGs might be associated with ESCC onset and development. A PPI network was established, and 9 hub genes [WD and tetratricopeptide repeats 1 (WDTC1), heat shock protein family A (Hsp70) member 5 (HSPA5), N-ethylmaleimide sensitive factor, vesicle fusing ATPase (NSF), fibroblast growth factor 2 (FGF2), cyclin dependent kinase inhibitor 1A (CDKN1A or P21), bone morphogenetic protein 2 (BMP2), complement C3 (C3), GM2 ganglioside activator (GM2A) and discs large MAGUK scaffold protein 4 (DLG4)] were determined from the network. Kaplan-Meier survival analysis validated four hub genes (BMP2, CDKN1A, GM2A, and DLG4) that were treated as prognostic factors. Ultimately, hub gene/lncRNA/miRNA subnetworks were obtained based on the 4 hub genes, 13 DEmiRNAs, and 10 DELs. In conclusion, the PLCE1-regulated ceRNA contributes to the onset and progression of ESCC and the underlying molecular mechanisms may provide insights into personalized prognosis and new therapies for ESCC patients.
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Affiliation(s)
- Zhihao Yang
- Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang 832002, P.R. China
| | - Yi Hui
- The People's Hospital of Suzhou National Hi‑Tech District, Suzhou, Jiangsu 215010, P.R. China
| | - Hao Peng
- Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang 832002, P.R. China
| | - Hongpan Zhang
- Department of Pathology and Medical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China
| | - Menglu Li
- Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang 832002, P.R. China
| | - Lingxie Song
- Department of Pathology and Medical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China
| | - Feng Li
- Department of Pathology and Medical Research Center, Beijing Chaoyang Hospital, Capital Medical University, Beijing 100020, P.R. China
| | - Xiaobin Cui
- Department of Pathology and Key Laboratory for Xinjiang Endemic and Ethnic Diseases, The First Affiliated Hospital, Shihezi University School of Medicine, Shihezi, Xinjiang 832002, P.R. China
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8
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Lu P, Gu J, Zhang N, Sun Y, Wang J. Risk factors for precancerous lesions of esophageal squamous cell carcinoma in high-risk areas of rural China: A population-based screening study. Medicine (Baltimore) 2020; 99:e21426. [PMID: 32756148 PMCID: PMC7402764 DOI: 10.1097/md.0000000000021426] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Although many studies in China have found that environmental or lifestyle factors are major contributors to the etiology of esophageal cancer, most of the patients in the above studies are in the middle and late stages, the early-stage patients account for a small proportion. To clarify the risk/protective factors contributing to early lesions, we conducted the present cross-sectional study.A total of 2925 healthy controls and 402 patients with esophageal precancerous lesions were included in our study by endoscopic examination. Information on risk/protective factors was collected by personal interview, and unconditional logistic regression was used to determine adjusted odds ratios (AORs) by the maximum-likelihood method.Smoking >20 pack-years (AOR = 1.48), duration of drinking >30 years (AOR = 1.40), alcohol consumption >100 mL/d (AOR = 1.44), gastroesophageal reflux disease (AOR = 1.75), esophagitis (AOR = 1.25), a family history of esophageal cancer (AOR = 1.92), or stomach cancer (AOR = 1.92) were significant risk factors for esophageal precancerous lesions. There was a negative correlation between abdominal obesity and early esophageal cancer and precancerous lesions (AOR = 0.75). In addition, we found that there was a synergistic effect between a family history of esophageal cancer and drinking (AOR = 3.00) and smoking (AOR = 2.90).Lifestyle risk factors, genetic factors, and upper gastrointestinal diseases are associated with the development of esophageal precancerous lesions. These results highlight the need for primary prevention to reduce the future burden of cancer and other chronic diseases in high-risk areas of rural China.
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Affiliation(s)
- Peipei Lu
- School of Medicine and Life Sciences, Shandong Academy of Medical Sciences, University of Jinan
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan
| | - Jianhua Gu
- Office of National Central Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer
- Department of Epidemiology Cancer Institute and Hospital, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, China
| | - Nan Zhang
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan
| | - Yawen Sun
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan
| | - Jialin Wang
- Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan
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