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Amadou A, Giampiccolo C, Bibi Ngaleu F, Praud D, Coudon T, Grassot L, Faure E, Couvidat F, Frenoy P, Severi G, Romana Mancini F, Roy P, Fervers B. Multiple xenoestrogen air pollutants and breast cancer risk: Statistical approaches to investigate combined exposures effect. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 351:124043. [PMID: 38679129 DOI: 10.1016/j.envpol.2024.124043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 02/10/2024] [Accepted: 04/23/2024] [Indexed: 05/01/2024]
Abstract
Studies suggested that exposure to air pollutants, with endocrine disrupting (ED) properties, have a key role in breast cancer (BC) development. Although the population is exposed simultaneously to a mixture of multiple pollutants and ED pollutants may act via common biological mechanisms leading to synergic effects, epidemiological studies generally evaluate the effect of each pollutant separately. We aimed to assess the complex effect of exposure to a mixture of four xenoestrogen air pollutants (benzo-[a]-pyrene (BaP), cadmium, dioxin (2,3,7,8-Tétrachlorodibenzo-p-dioxin TCDD)), and polychlorinated biphenyl 153 (PCB153)) on the risk of BC, using three recent statistical methods, namely weighted quantile sum (WQS), quantile g-computation (QGC) and Bayesian kernel machine regression (BKMR). The study was conducted on 5222 cases and 5222 matched controls nested within the French prospective E3N cohort initiated in 1990. Annual average exposure estimates to the pollutants were assessed using a chemistry transport model, at the participants' residence address between 1990 and 2011. We found a positive association between the WQS index of the joint effect and the risk of overall BC (adjusted odds ratio (OR) = 1.10, 95% confidence intervals (CI): 1.03-1.19). Similar results were found for QGC (OR = 1.11, 95%CI: 1.03-1.19). Despite the association did not reach statistical significance in the BKMR model, we observed an increasing trend between the joint effect of the four pollutants and the risk of BC, when fixing other chemicals at their median concentrations. BaP, cadmium and PCB153 also showed positive trends in the multi-pollutant mixture, while dioxin showed a modest inverse trend. Despite we found a clear evidence of a positive association between the joint exposure to pollutants and BC risk only from WQS and QGC regression, we observed a similar suggestive trend using BKMR. This study makes a major contribution to the understanding of the joint effects of air pollution.
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Affiliation(s)
- Amina Amadou
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France.
| | - Camille Giampiccolo
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Université Claude Bernard Lyon 1, Lyon, France; Service de Biostatistique-Bioinformatique, Pole Sante Publique, Hospices Civils de Lyon, Lyon, France; Laboratoire de Biometrie Et Biologie Evolutive, CNRS UMR 5558, Villeurbanne, France
| | - Fabiola Bibi Ngaleu
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France; Université Claude Bernard Lyon 1, Lyon, France
| | - Delphine Praud
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France
| | - Thomas Coudon
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France
| | - Lény Grassot
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France
| | - Elodie Faure
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France
| | - Florian Couvidat
- National Institute for industrial Environment and Risks (INERIS), Verneuil-en-Halatte, France
| | - Pauline Frenoy
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France
| | - Gianluca Severi
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France; Department of Statistics, Computer Science and Applications (DISIA), University of Florence, Italy
| | - Francesca Romana Mancini
- Centre de Recherche en Epidémiologie et Santé des Populations (CESP, Inserm U1018), Facultés de Médecine, Université Paris-Saclay, UPS UVSQ, Gustave Roussy, Villejuif, France.
| | - Pascal Roy
- Université Claude Bernard Lyon 1, Lyon, France; Service de Biostatistique-Bioinformatique, Pole Sante Publique, Hospices Civils de Lyon, Lyon, France; Laboratoire de Biometrie Et Biologie Evolutive, CNRS UMR 5558, Villeurbanne, France
| | - Béatrice Fervers
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations: Défense, Santé, Environnement, Lyon, France.
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Gu Q, Zhou S, Chen C, Wang Z, Xu W, Zhang J, Wei S, Yang J, Chen H. CCL19: a novel prognostic chemokine modulates the tumor immune microenvironment and outcomes of cancers. Aging (Albany NY) 2023; 15:12369-12387. [PMID: 37944262 PMCID: PMC10683612 DOI: 10.18632/aging.205184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 10/06/2023] [Indexed: 11/12/2023]
Abstract
BACKGROUND CCL19 is a chemokine involved in cancer research due to its important role in the tumor microenvironment (TME) and clinical relevance in cancers. This study aimed to analyze transcription expression, genomic alteration, association with tumor immune microenvironment of CCL19 expression and its prediction value for prognosis and responses to immunotherapy for patients with cancers. METHODS RNA sequencing data and corresponding clinicopathological information of a total of large-scale cancer patients were obtained from The Cancer Genome Atlas and Gene Expression Omnibus databases. Multiplex immunofluorescence (mIF) was implemented to identify differential infiltration of Treg, CD8+ T cells, and tumor-associated macrophages, while CCL19 immunohistochemistry was conducted on 182 breast cancer samples from a real-world cohort. RESULTS Based on large-scale multi-center survival analysis of cancer patients, we found the prognosis of patients with high CCL19 expression was prominently better than those with low CCL19 expression. For patients from multiple independent cohorts, suppressed CCL19 expression exerts significant progressive phenotype and apoptosis activity of cancers, especially in breast and ovarian cancer. Interestingly, anti-tumor immune cells, specifically the CD8+ T cells and macrophages, were clustered from TME by elevated CCL19 expression. Additionally, higher CCL19 levels reflected heightened immune activity and substantial heterogeneity. CONCLUSIONS In conclusion, our findings support the notion that elevated CCL19 expression is linked to favorable outcomes and enhanced anti-tumor immunity, characterized by increased CD8+ T cells within the TME. This suggests the potential of CCL19 as a prognostic marker, predictive biomarker for immunotherapy, therapeutic target of cancers.
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Affiliation(s)
- Qiang Gu
- Affiliated Maternity and Child Health Care Hospital of Nantong University, Nantong 226000, China
| | - Shifang Zhou
- Department of Obstetrics and Gynecology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Cong Chen
- Department of Nursing, Fudan University Shanghai Cancer Center, Shanghai 201321, China
| | - Zhi Wang
- Department of Interventional Oncology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200120, China
| | - Wenhao Xu
- Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China
| | - Jiarong Zhang
- Department of Obstetrics and Gynecology, Zhongshan Hospital, Fudan University, Shanghai 200032, China
| | - Shiyin Wei
- Affiliated Hospital of Youjiang Medical University for Nationalities, Baise 533000, China
| | - Jianfeng Yang
- Department of Surgery, Shangnan Branch of Longhua Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai 200126, China
| | - Hongjing Chen
- Affiliated Maternity and Child Health Care Hospital of Nantong University, Nantong 226000, China
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Lu YS, Wen X, Chen J, He XR, Yu J, Qiu J, Qian YZ, Xu YY. Multiomics reveals new biomarkers and mechanistic insights into the combined toxicity effects of 2,2',4,4',5,5'-hexachlorobiphenyl and atrazine exposures in MCF-7 cells. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 333:122030. [PMID: 37336346 DOI: 10.1016/j.envpol.2023.122030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2023] [Revised: 06/01/2023] [Accepted: 06/11/2023] [Indexed: 06/21/2023]
Abstract
Humans are constantly exposed to complicated chemical mixtures from the environment and food rather than being exposed to a single pollutant. The underlying mechanisms of the complicated combined toxicity of endocrine disrupting chemicals (EDCs) are still mainly unexplored. In this study, two representative EDCs, 2,2',4,4',5,5'-hexachlorobiphenyl (PCB153) and atrazine (ATZ), were selected to explore their combined effects on MCF-7 cell proliferation at environmental exposure concentrations by an integrated analysis of metabolomics and transcriptomics. The results showed that 1 μM ATZ and PCB153 combined exposure significantly accelerated MCF-7 cell growth by 18.2%. More than 400 metabolites detected by UHPLC-QTOF/MS were used to observe metabolism differences induced by binary mixtures. Metabolomics analysis verified that ATZ and PCB153 exposure alone or in combination could have an additive effect on metabolism and induce significant disruption to glycolysis, purine metabolism and the TCA cycle, which provide energy demand and biosynthetic substrates for cell proliferation. Compared to PCB153 and ATZ exposure alone, a combined effect was observed in purine and pyrimidine metabolic pathways. Hexokinase 3 (HK3) and cytochrome P450 19 subfamily A1 (CYP19A1) were identified as differentially expressed genes based on transcriptomic analysis. By integrating metabolome and transcriptome analysis, the proliferation effects of ATZ and PCB153 were induced at low doses in MCF-7 cells through potential interference with the downstream transcription signaling of CYP19A1. Furthermore, molecular docking indicated that PCB153 and ATZ directly affected CYP19A1. Altogether, the regulation of pivotal metabolites and differentially expressed genes could provide helpful information to reveal the mechanism by which PCB153 and ATZ affect MCF-7 cell proliferation.
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Affiliation(s)
- Yu-Shun Lu
- Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Xing Wen
- Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; Faculty of Printing and Packaging and Digital Media, Xi' an University of Technology, Xi'an, 710048, China
| | - Ju Chen
- Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; Faculty of Printing and Packaging and Digital Media, Xi' an University of Technology, Xi'an, 710048, China
| | - Xiao-Rong He
- Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China; Faculty of Printing and Packaging and Digital Media, Xi' an University of Technology, Xi'an, 710048, China
| | - Jiang Yu
- Faculty of Printing and Packaging and Digital Media, Xi' an University of Technology, Xi'an, 710048, China
| | - Jing Qiu
- Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yong-Zhong Qian
- Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China
| | - Yan-Yang Xu
- Key Laboratory of Agro-Product Quality and Safety, Institute of Quality Standards and Testing Technology for Agro-Products, Chinese Academy of Agricultural Sciences, Beijing, 100081, China.
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Amadou A, Praud D, Coudon T, Deygas F, Grassot L, Dubuis M, Faure E, Couvidat F, Caudeville J, Bessagnet B, Salizzoni P, Leffondré K, Gulliver J, Severi G, Mancini FR, Fervers B. Long-term exposure to nitrogen dioxide air pollution and breast cancer risk: A nested case-control within the French E3N cohort study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 317:120719. [PMID: 36435283 DOI: 10.1016/j.envpol.2022.120719] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 11/17/2022] [Accepted: 11/20/2022] [Indexed: 06/16/2023]
Abstract
Nitrogen dioxide (NO2) is an important air pollutant due to its adverse effects on human health. Yet, current evidence on the association between NO2 and the risk of breast cancer lacks consistency. In this study, we investigated the association between long-term exposure to NO2 and breast cancer risk in the French E3N cohort study. Association of breast cancer risk with NO2 exposure was assessed in a nested case-control study within the French E3N cohort including 5222 breast cancer cases identified over the 1990-2011 follow-up period and 5222 matched controls. Annual mean concentrations of NO2 at participants' residential addresses for each year from recruitment 1990 through 2011, were estimated using a land use regression (LUR) model. Multivariable conditional logistic regression models were used to compute odds ratios (ORs) and their 95% confidence intervals (CIs). Additional analyses were performed using NO2 concentrations estimated by CHIMERE, a chemistry transport model. Overall, the mean NO2 exposure was associated with an increased risk of breast cancer. In all women, for each interquartile range (IQR) increase in NO2 levels (LUR: 17.8 μg/m3), the OR of the model adjusted for confounders was 1.09 (95% CI: 1.01-1.18). The corresponding OR in the fully adjusted model (additionally adjusted for established breast cancer risk factors) was 1.07 (95% CI: 0.98-1.15). By menopausal status, results for postmenopausal women were comparable to those for all women, while no association was observed among premenopausal women. By hormone receptor status, the OR of estrogen receptor positive breast cancer = 1.07 (95% CI: 0.97-1.19) in the fully adjusted model. Additional analyses using the CHIMERE model showed slight differences in ORs estimates. The results of this study indicate an increased risk of breast cancer associated with long-term exposure to NO2 air pollution. Observing comparable effects of NO2 exposure estimated by two different models, reinforces these findings.
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Affiliation(s)
- Amina Amadou
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations, Défense, Santé, Environnement, Lyon, France
| | - Delphine Praud
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations, Défense, Santé, Environnement, Lyon, France.
| | - Thomas Coudon
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations, Défense, Santé, Environnement, Lyon, France; Ecole Centrale de Lyon, INSA Lyon, Université Claude Bernard Lyon 1, Ecully, France
| | - Floriane Deygas
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations, Défense, Santé, Environnement, Lyon, France
| | - Lény Grassot
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations, Défense, Santé, Environnement, Lyon, France
| | - Mathieu Dubuis
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations, Défense, Santé, Environnement, Lyon, France
| | - Elodie Faure
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Université Paris-Saclay, UVSQ, Inserm U1018, CESP, "Exposome Heredity, Cancer and Health", Gustave Roussy, Villejuif, France
| | - Florian Couvidat
- National Institute for Industrial Environment and Risks (INERIS), Verneuil-en-Halatte, France
| | - Julien Caudeville
- National Institute for Industrial Environment and Risks (INERIS), Verneuil-en-Halatte, France
| | - Bertrand Bessagnet
- National Institute for Industrial Environment and Risks (INERIS), Verneuil-en-Halatte, France; Citepa, Technical Reference Center for Air Pollution and Climate Change, Paris, France
| | - Pietro Salizzoni
- Ecole Centrale de Lyon, INSA Lyon, Université Claude Bernard Lyon 1, Ecully, France
| | - Karen Leffondré
- Univ Bordeaux, ISPED, INSERM, Bordeaux Population Health Research Center, UMR1219, Bordeaux, France
| | - John Gulliver
- Centre for Environmental Health and Sustainability, School of Geography, Geology and the Environment, University of Leicester, United Kingdom
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Inserm U1018, CESP, "Exposome Heredity, Cancer and Health", Gustave Roussy, Villejuif, France; Department of Statistics, Computer Science and Applications (DISIA), University of Florence, Italy
| | - Francesca Romana Mancini
- Université Paris-Saclay, UVSQ, Inserm U1018, CESP, "Exposome Heredity, Cancer and Health", Gustave Roussy, Villejuif, France
| | - Béatrice Fervers
- Department of Prevention Cancer Environment, Centre Léon Bérard, Lyon, France; Inserm U1296 Radiations, Défense, Santé, Environnement, Lyon, France
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Abdelzaher H, Tawfik SM, Nour A, Abdelkader S, Elbalkiny ST, Abdelkader M, Abbas WA, Abdelnaser A. Climate change, human health, and the exposome: Utilizing OMIC technologies to navigate an era of uncertainty. Front Public Health 2022; 10:973000. [PMID: 36211706 PMCID: PMC9533016 DOI: 10.3389/fpubh.2022.973000] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 08/17/2022] [Indexed: 01/25/2023] Open
Abstract
Climate change is an anthropogenic phenomenon that is alarming scientists and non-scientists alike. The emission of greenhouse gases is causing the temperature of the earth to rise and this increase is accompanied by a multitude of climate change-induced environmental exposures with potential health impacts. Tracking human exposure has been a major research interest of scientists worldwide. This has led to the development of exposome studies that examine internal and external individual exposures over their lifetime and correlate them to health. The monitoring of health has also benefited from significant technological advances in the field of "omics" technologies that analyze physiological changes on the nucleic acid, protein, and metabolism levels, among others. In this review, we discuss various climate change-induced environmental exposures and their potential health implications. We also highlight the potential integration of the technological advancements in the fields of exposome tracking, climate monitoring, and omics technologies shedding light on important questions that need to be answered.
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Affiliation(s)
| | | | | | | | | | | | | | - Anwar Abdelnaser
- Institute of Global Health and Human Ecology, The American University in Cairo, New Cairo, Egypt
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Wei W, Wu BJ, Wu Y, Tong ZT, Zhong F, Hu CY. Association between long-term ambient air pollution exposure and the risk of breast cancer: a systematic review and meta-analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:63278-63296. [PMID: 34227005 DOI: 10.1007/s11356-021-14903-5] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 06/10/2021] [Indexed: 06/13/2023]
Abstract
Breast cancer is a complex and multifactorial disease which stems significantly from both environmental and genetic factors. A growing number of epidemiological studies have suggested that ambient air pollution (AAP) exposure may play an important role in breast cancer development. However, no consistency has been reached concerning whether high levels of air pollutant exposure were related to increased breast cancer risk among the current evidence. To further clarify such association of long-term AAP exposure with risk of breast cancer, a systematic review and meta-analysis of available evidence was performed. An extensive literature search in 3 academic databases was conducted before March 10, 2020. The risk of bias (RoB) for each individual study was evaluated with a domain-based assessment tool, developed by the National Toxicology Program/Office of Health Assessment and Translation (NTP/OHAT). Meta-estimates for air pollutant-breast cancer combinations were calculated for a standardized increment in exposure by random-effect models. The confidence level in the body of evidence and the certainty of evidence was also assessed for each air pollutant-breast cancer combination. The initial search identified 5446 studies, and 18 of them were eligible. The pooled analysis found an increased risk of breast cancer was associated with an increase in each 10 μg/m3 in nitrogen dioxide (NO2) exposure (hazard ratio (HR) = 1.02, 95% confidence interval (CI) = 1.01, 1.04), while particulate matter with aerodynamic diameters ≤ 2.5 μm and 10 μm (PM2.5, PM10) revealed no statistically significant associations with breast cancer risk. Our evaluation on the certainty of evidence indicates that there was a "moderate level of evidence" in the body of evidence for an association of NO2 exposure with an increased breast cancer risk and an "inadequate level of evidence" in the body of evidence for an association of PM2.5 and PM10 exposure with an increased breast cancer risk. Our study suggests long-term exposure to NO2 is related to an increased risk of breast cancer. However, in consideration of the limitations, further studies, especially performed in developing countries, with improvements in exposure assessment, outcome ascertainment, and confounder adjustment, are needed to draw a definite evidence of a causal relationship.
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Affiliation(s)
- Wu Wei
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
| | - Bing-Jie Wu
- Department of Oncology, Fuyang Hospital of Anhui Medical University, 99 Huangshan Road, Fuyang, 236000, China
| | - Yue Wu
- Department of Traditional and Western Integrative Medicine Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
| | - Zhu-Ting Tong
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China
| | - Fei Zhong
- Department of Oncology, The First Affiliated Hospital of Anhui Medical University, 218 Jixi Road, Hefei, 230022, China.
- Department of Oncology, Fuyang Hospital of Anhui Medical University, 99 Huangshan Road, Fuyang, 236000, China.
| | - Cheng-Yang Hu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
- Department of Humanistic Medicine, School of Humanistic Medicine, Anhui Medical University, 81 Meishan Road, Hefei, 230032, China.
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