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Liu J, Dai Y, Li R, Yuan J, Wang Q, Wang L. Does air pollution exposure affect semen quality? Evidence from a systematic review and meta-analysis of 93,996 Chinese men. Front Public Health 2023; 11:1219340. [PMID: 37601219 PMCID: PMC10435904 DOI: 10.3389/fpubh.2023.1219340] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2023] [Accepted: 07/21/2023] [Indexed: 08/22/2023] Open
Abstract
Background Air pollution may impair male fertility, but it remains controversial whether air pollution affects semen quality until now. Objectives We undertake a meta-analysis to explore potential impacts of six pollutants exposure during the entire window (0-90 days prior to ejaculation) and critical windows (0-9, 10-14, and 70-90 days prior to ejaculation) on semen quality. Methods Seven databases were retrieved for original studies on the effects of six pollutants exposure for 90 days prior to ejaculation on semen quality. The search process does not limit the language and search date. We only included original studies that reported regression coefficients (β) with 95% confidence intervals (CIs). The β and 95% CIs were pooled using the DerSimonian-Laird random effect models. Results PM2.5 exposure was related with decreased total sperm number (10-14 lag days) and total motility (10-14, 70-90, and 0-90 lag days). PM10 exposure was related with reduced total sperm number (70-90 and 0-90 lag days) and total motility (0-90 lag days). NO2 exposure was related with reduced total sperm number (70-90 and 0-90 lag days). SO2 exposure was related with declined total motility (0-9, 10-14, 0-90 lag days) and total sperm number (0-90 lag days). Conclusion Air pollution affects semen quality making it necessary to limit exposure to air pollution for Chinese men. When implementing protective measures, it is necessary to consider the key period of sperm development.
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Affiliation(s)
- Junjie Liu
- Henan Human Sperm Bank, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Yanpeng Dai
- Department of Clinical Laboratory, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Runqing Li
- The Neonatal Screening Center in Henan Province, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Jiayi Yuan
- The Neonatal Screening Center in Henan Province, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Quanxian Wang
- Henan Human Sperm Bank, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Linkai Wang
- Henan Human Sperm Bank, The Third Affiliated Hospital of Zhengzhou University, Zhengzhou, China
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Chauhan R, Trivedi V, Rani R, Singh U. A Comparative Analysis of Body Mass Index with Estrogen Receptor, Progesterone Receptor and Human Epidermal Growth Factor Receptor 2 Status in Pre- and Postmenopausal Breast Cancer Patients. J Midlife Health 2021; 11:210-216. [PMID: 33767561 PMCID: PMC7978051 DOI: 10.4103/jmh.jmh_97_20] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2020] [Revised: 11/24/2020] [Accepted: 12/15/2020] [Indexed: 12/21/2022] Open
Abstract
Background Breast cancer is now the most common cancer among Indian women. Recent studies have suggested a possible link between risk factors like high BMI and molecular subtypes of breast cancer. Studies from Western and Asian population have shown varying relationship between post- menopausal obesity and expression of ER, PR, Her2-neu receptors in breast cancer patients. Aim This study was done with an aim to explore if overweight or obesity as defined by BMI and status of ER, PR and Her2-neu receptors differ in Indian pre-menopausal and post-menopausal breast cancer patients. Methods and Material This is a retrospective analysis of 446 breast cancer patients treated at Mahavir Cancer Sansthan, Patna from July to December 2019. Their case records were evaluated and data regarding age, menopausal status, height, weight and ER, PR & HER2-neu receptor status were extracted for analyses. Statistical Analysis Chi-square test was used to compare categorical variables between the pre-menopausal and post-menopausal group. Results The prevalence of obesity in the post-menopausal group was 2.3% more than the pre-menopausal group (P-value = 0.24). As compared to the pre-menopausal group, there was an increase in the ER/PR positivity in the postmenopausal group by 3.41% (P-value = 0.47) and in the Her2-neu positivity by 6.38% (P-value = 0.15). As compared to the pre-menopausal group, there was further increase in the ER/PR positivity in the post-menopausal group by 6.85% (P-value = 0.40) in sub-group of patients with BMI ≥ 25kg/m2. Conclusions Our study showed slightly increased incidence of obesity in post-menopausal breast cancer patients. Overweight post-menopausal patients also had a higher percentage of ER/PR receptor positivity and lower percentage of Triple negative breast cancer. The percentage of Her2-neu receptor positivity was more in post-menopausal patients. A high BMI was found to be associated with a lower Her2neu positivity.
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Affiliation(s)
- Richa Chauhan
- Department of Radiotherapy, Mahavir Cancer Sansthan, Patna, Bihar, India
| | - Vinita Trivedi
- Department of Radiotherapy, Mahavir Cancer Sansthan, Patna, Bihar, India
| | - Rita Rani
- Department of Radiotherapy, Mahavir Cancer Sansthan, Patna, Bihar, India
| | - Usha Singh
- Department of Radiotherapy, Mahavir Cancer Sansthan, Patna, Bihar, India
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The Structure and Parameterization of the Breast Cancer Transition Model Among Chinese Women. Value Health Reg Issues 2019; 21:29-38. [PMID: 31634794 DOI: 10.1016/j.vhri.2019.05.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2018] [Accepted: 05/29/2019] [Indexed: 12/21/2022]
Abstract
OBJECTIVES Markov model simulation based on the natural history of disease is commonly employed for the comparative research of health interventions. The present study aims to simulate the natural progression of breast cancer and parameterize the initial and transition probabilities of multiple states of breast cancer development among Chinese women. METHODS The age-specific incidence, mortality, and clinical stage distribution of breast cancer; and relapse rate of each clinical stage were collected from China's cancer registry yearbooks and clinical epidemiological studies to simulate the process from full health to breast cancer to death among Chinese women aged 30 to 80 through a Markov cohort study. The validity analysis was conducted to evaluate the accuracy of the model estimation. RESULTS A Markov transition model with 7 states (no breast cancer, clinical stages 0-IV breast cancer, and death) was constructed for Chinese women. The age-specific incidence, mortality, and clinical stage distribution of breast cancer estimated by the initial and transition probabilities among different Markov states were highly consistent with the registered data and observed studies. CONCLUSION A breast cancer transition model for Chinese women has been established with validity. It could be a point of reference for further economic evaluations and breast cancer screening policy formulation.
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Zhou C, He JJ, Li J, Fan JH, Zhang B, Yang HJ, Xie XM, Tang ZH, Li H, Li JY, Wang SL, Qiao YL, Huang R, Zhang P. A nation-wide multicenter 10-year (1999-2008) retrospective clinical study of endocrine therapy for Chinese females with breast cancer. PLoS One 2014; 9:e100159. [PMID: 25036532 PMCID: PMC4103779 DOI: 10.1371/journal.pone.0100159] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2014] [Accepted: 05/22/2014] [Indexed: 12/30/2022] Open
Abstract
Endocrine therapy (ET) is one of the main systemic treatments for patients with breast cancer. To our knowledge, few studies have addressed the performance of ET or relevant influencing factors in cancer treatment in China. By retrospectively analyzing the clinicopathological data on breast cancer collected from representative hospitals of 7 traditional areas in China in one random month from each year between year 1999 and 2008, we found that: 1) The rate of the use of hormone receptor (HR) testing was 83.8% (3529/4211), with the estrogen receptor-positive (ER+) rate and/or the progesterone receptor-positive (PR+) rate being 67.9% (2395/3529), and the ER-PR rate being 32.1% (1134/3529). 2) Of the 1599 patients who had received ET, 999 patients (58.3%) were premenopausal while 600 (41.7%) were postmenopausal; 1598 patients received adjuvant hormonal therapy (AHT), whereas only 1 patient received palliative therapy. The medications mainly administered to patients were anti-estrogen agents (80.3% [1283/1598]), followed by AIs (15.5% [248/1598]). Of the 1598 patients receiving AHT, 1416 patients (88.6%) were positive for ER and/or PR, while 75 (4.7%) were negative for both and 108 patients (6.7%) had unknown HR status. The ratio of the use of endocrine therapy for breast cancer patients with ER+ and/or PR+ status was 60.0% (1416/2395). 3) Results from the logistic regression analysis revealed that geography, occupations, and history of chemotherapy and surgery were dependent factors affecting the application of ET in breast cancer treatment in China (P<0.001). In conclusion, the use of ET on Chinese women with breast cancer is increasingly and gradually accounted into the standardized process. Economic status, occupations, and history of chemotherapy and surgery were key factors affecting the application of ET. People residing in developed areas, engaging in mental labour, having history of chemotherapy and surgery are susceptible to accept ET.
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Affiliation(s)
- Can Zhou
- Department of Oncology Surgery, First Affiliated Hospital, School of Medicine of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - Jian jun He
- Department of Oncology Surgery, First Affiliated Hospital, School of Medicine of Xi'an Jiaotong University, Xi'an, Shaanxi Province, China
| | - Jing Li
- Department of Cancer Epidemiology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Jin hu Fan
- Department of Cancer Epidemiology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Bin Zhang
- Department of Breast Surgery, Liaoning Cancer Hospital, Shen yang, Liaoning Province, China
| | - Hong jian Yang
- Department of Breast Surgery, Zhejiang Cancer Hospital, Hangzhou, Zhejiang Province, China
| | - Xiao ming Xie
- Department of Breast Oncology, Sun Yat-Sen University Cancer Center, Guangzhou, Guangdong Province, China
| | - Zhong hua Tang
- Department of Breast-thyroid Surgery, Xiangya Sencod Hospital, Central South University, Changsha, Hunan Province, China
| | - Hui Li
- Department of Breast Surgery, the Second People's Hospital of Sichuan Province, Chengdu, Sichuan Province, China
| | - Jia yuan Li
- Department of Epidemiology, West China School of Public Health, Sichuan University, Chengdu, Sichuan Province, China
| | - Shu lian Wang
- Department of Radiotherapy, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - You lin Qiao
- Department of Cancer Epidemiology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Rong Huang
- Department of Cancer Epidemiology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
| | - Pin Zhang
- Department of Medical Oncology, Cancer Institute & Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China
- * E-mail:
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