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Huang YX, Wu JH, Zhao YQ, Sui WN, Tian T, Han WX, Ni J. An atlas on risk factors for gastrointestinal cancers: A systematic review of Mendelian randomization studies. Prev Med 2024; 189:108147. [PMID: 39368643 DOI: 10.1016/j.ypmed.2024.108147] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/06/2024] [Revised: 09/27/2024] [Accepted: 09/28/2024] [Indexed: 10/07/2024]
Abstract
OBJECTIVE Gastrointestinal cancers are one of the most frequent cancer types and seriously threaten human life and health. Recent studies attribute the occurrence of gastrointestinal cancers to both genetic and environmental factors, yet the intrinsic etiology remains unclear. Mendelian randomization is a powerful well-established statistical method that is based on genome-wide association study (GWAS) to evaluate the causal relationship between exposures and outcomes. In the present study, we aimed to conduct a systematic review of Mendelian randomization studies investigating any causal risk factors for gastrointestinal cancers. METHODS We systematically searched Mendelian randomization studies that addressed the associations of genetically predicted exposures with five main gastrointestinal cancers from September 2014 to March 2024, as well as testing the research quality and validity. RESULTS Our findings suggested robust and consistent causal effects of body mass index (BMI), basal metabolic rate, fatty acids, total cholesterol, total bilirubin, insulin like growth factor-1, eosinophil counts, interleukin 2, alcohol consumption, coffee consumption, apolipoprotein B on colorectal cancer risks, BMI, waist circumference, low-density lipoprotein (LDL), total testosterone, smoking on gastric cancer risks, BMI, fasting insulin, LDL, waist circumference, visceral adipose tissue (VAT), immune cells, type 2 diabetes mellitus (T2DM) on pancreatic cancer risks, waist circumference, smoking, T2DM on esophageal adenocarcinoma risks, and VAT, ferritin, transferrin, alcohol consumption, hepatitis B virus infection, rheumatoid arthritis on liver cancer risks, respectively. CONCLUSION Larger, well-designed Mendelian randomization studies are practical in determining the causal status of risk factors for diseases.
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Affiliation(s)
- Yi-Xuan Huang
- Department of Endocrinology, The First Affiliated Hospital of Anhui Medical University, Hefei, China; Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Jun-Hua Wu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Yu-Qiang Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Wan-Nian Sui
- Department of Gastrointestinal Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Tian Tian
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
| | - Wen-Xiu Han
- Department of Gastrointestinal Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China.
| | - Jing Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
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Mąkosza KM, Muc-Wierzgoń M, Dzięgielewska-Gęsiak S. Nutrition and Selected Lifestyle Elements as a Tertiary Prevention in Colorectal Cancer Patients. Nutrients 2024; 16:3129. [PMID: 39339729 PMCID: PMC11435162 DOI: 10.3390/nu16183129] [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: 08/13/2024] [Revised: 09/11/2024] [Accepted: 09/15/2024] [Indexed: 09/30/2024] Open
Abstract
BACKGROUND Nutrition and lifestyle elements can significantly support the therapeutic process in colorectal cancer (CRC) patients, which is the basis for tertiary prevention. The study aimed to assess the nutritional strategies and lifestyle of CRC patients and to determine differences in these behaviors depending on gender and age. METHODS The study group included 202 CRC patients. The research was carried out in two hospitals and using the snowball method. The research tool was an original questionnaire. Data were processed in statistical programs. p < 0.05 was considered statistically significant. RESULTS Patients reported many behavioral-nutritional side effects. Half of them did not use a therapeutic diet (n = 101; 50.0%). The majority of patients declared that they ate three meals a day (57.4%). Fruits and vegetables were mainly eaten raw (69.3%). Almost a quarter of patients were not physically active at all (22.3%). Men chose to fry meat significantly more often than women (27.7% vs. 19.3%) (p = 0.003). The elderly consumed fast food significantly less often than middle-aged (88.5% vs. 72.3%) (p = 0.03). CONCLUSIONS Patients showed both pro- and anti-health activities. The findings revealed several noteworthy disparities in dietary habits and lifestyle choices based on gender and age, indicating that these factors can significantly influence the health management of CRC patients. The patients' behaviors should be constantly monitored and intensified, especially through regular consultations and educational meetings with an oncology dietitian for nutritional tertiary prevention of chronic disease.
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Affiliation(s)
- Kamil Michał Mąkosza
- Doctoral School, Medical University of Silesia, 40-055 Katowice, Poland
- Department of Internal Diseases Propaedeutics and Emergency Medicine, Faculty of Public Health in Bytom, Medical University of Silesia, 40-055 Katowice, Poland
| | - Małgorzata Muc-Wierzgoń
- Department of Internal Diseases Propaedeutics and Emergency Medicine, Faculty of Public Health in Bytom, Medical University of Silesia, 40-055 Katowice, Poland
| | - Sylwia Dzięgielewska-Gęsiak
- Department of Internal Diseases Propaedeutics and Emergency Medicine, Faculty of Public Health in Bytom, Medical University of Silesia, 40-055 Katowice, Poland
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3
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Bi X, Wang J, Xue B, He C, Liu F, Chen H, Lin LL, Dong B, Li B, Jin C, Pan J, Xue W, Ye J. SERSomes for metabolic phenotyping and prostate cancer diagnosis. Cell Rep Med 2024; 5:101579. [PMID: 38776910 PMCID: PMC11228451 DOI: 10.1016/j.xcrm.2024.101579] [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: 09/27/2023] [Revised: 03/08/2024] [Accepted: 04/29/2024] [Indexed: 05/25/2024]
Abstract
Molecular phenotypic variations in metabolites offer the promise of rapid profiling of physiological and pathological states for diagnosis, monitoring, and prognosis. Since present methods are expensive, time-consuming, and still not sensitive enough, there is an urgent need for approaches that can interrogate complex biological fluids at a system-wide level. Here, we introduce hyperspectral surface-enhanced Raman spectroscopy (SERS) to profile microliters of biofluidic metabolite extraction in 15 min with a spectral set, SERSome, that can be used to describe the structures and functions of various molecules produced in the biofluid at a specific time via SERS characteristics. The metabolite differences of various biofluids, including cell culture medium and human serum, are successfully profiled, showing a diagnosis accuracy of 80.8% on the internal test set and 73% on the external validation set for prostate cancer, discovering potential biomarkers, and predicting the tissue-level pathological aggressiveness. SERSomes offer a promising methodology for metabolic phenotyping.
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Affiliation(s)
- Xinyuan Bi
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Jiayi Wang
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Bingsen Xue
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China; Shanghai Artificial Intelligence Laboratory, Shanghai, China
| | - Chang He
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Fugang Liu
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Haoran Chen
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Linley Li Lin
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China
| | - Baijun Dong
- Department of Urology, Jiading District Central Hospital Affiliated Shanghai University of Medicine & Health Science, Shanghai, P.R. China
| | - Butang Li
- Department of Urology, Ningbo Hangzhou Bay Hospital, Ningbo, Zhejiang, P.R. China
| | - Cheng Jin
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China; Shanghai Artificial Intelligence Laboratory, Shanghai, China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, P.R. China.
| | - Jiahua Pan
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China.
| | - Wei Xue
- Department of Urology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China.
| | - Jian Ye
- State Key Laboratory of Systems Medicine for Cancer, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, P.R. China; Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, P.R. China; Shanghai Key Laboratory of Gynecologic Oncology, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, P.R. China.
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Roshandel G, Ghasemi-Kebria F, Malekzadeh R. Colorectal Cancer: Epidemiology, Risk Factors, and Prevention. Cancers (Basel) 2024; 16:1530. [PMID: 38672612 PMCID: PMC11049480 DOI: 10.3390/cancers16081530] [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: 03/23/2024] [Revised: 04/09/2024] [Accepted: 04/15/2024] [Indexed: 04/28/2024] Open
Abstract
Colorectal cancer (CRC) is the third most common cancer and the second most common cause of cancer mortality worldwide. There are disparities in the epidemiology of CRC across different populations, most probably due to differences in exposure to lifestyle and environmental factors related to CRC. Prevention is the most effective method for controlling CRC. Primary prevention includes determining and avoiding modifiable risk factors (e.g., alcohol consumption, smoking, and dietary factors) as well as increasing protective factors (e.g., physical activity, aspirin). Further studies, especially randomized, controlled trials, are needed to clarify the association between CRC incidence and exposure to different risk factors or protective factors. Detection and removal of precancerous colorectal lesions is also an effective strategy for controlling CRC. Multiple factors, both at the individual and community levels (e.g., patient preferences, availability of screening modalities, costs, benefits, and adverse events), should be taken into account in designing and implementing CRC screening programs. Health policymakers should consider the best decision in identifying the starting age and selection of the most effective screening strategies for the target population. This review aims to present updated evidence on the epidemiology, risk factors, and prevention of CRC.
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Affiliation(s)
- Gholamreza Roshandel
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan 49178-67439, Iran; (G.R.); (F.G.-K.)
| | - Fatemeh Ghasemi-Kebria
- Golestan Research Center of Gastroenterology and Hepatology, Golestan University of Medical Sciences, Gorgan 49178-67439, Iran; (G.R.); (F.G.-K.)
| | - Reza Malekzadeh
- Digestive Oncology Research Center, Digestive Diseases Research Institute, Tehran University of Medical Sciences, Tehran 14117-13135, Iran
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Marino P, Mininni M, Deiana G, Marino G, Divella R, Bochicchio I, Giuliano A, Lapadula S, Lettini AR, Sanseverino F. Healthy Lifestyle and Cancer Risk: Modifiable Risk Factors to Prevent Cancer. Nutrients 2024; 16:800. [PMID: 38542712 PMCID: PMC10974142 DOI: 10.3390/nu16060800] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2024] [Revised: 03/07/2024] [Accepted: 03/08/2024] [Indexed: 08/07/2024] Open
Abstract
Cancer has become a serious problem worldwide, as it represents the main cause of death, and its incidence has increased over the years. A potential strategy to counter the growing spread of various forms of cancer is the adoption of prevention strategies, in particular, the use of healthy lifestyles, such as maintaining a healthy weight, following a healthy diet; being physically active; avoiding smoking, alcohol consumption, and sun exposure; and vitamin D supplementation. These modifiable risk factors are associated with this disease, contributing to its development, progression, and severity. This review evaluates the relationship between potentially modifiable risk factors and overall cancer development, specifically breast, colorectal, and prostate cancer, and highlights updated recommendations on cancer prevention. The results of numerous clinical and epidemiological studies clearly show the influence of lifestyles on the development and prevention of cancer. An incorrect diet, composed mainly of saturated fats and processed products, resulting in increased body weight, combined with physical inactivity, alcohol consumption, and smoking, has induced an increase in the incidence of all three types of cancer under study. Given the importance of adopting correct and healthy lifestyles to prevent cancer, global institutions should develop strategies and environments that encourage individuals to adopt healthy and regular behaviors.
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Affiliation(s)
- Pasquale Marino
- Unit of Oncological Gynecology, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Via Padre Pio, 1, 85028 Potenza, Italy; (G.D.); (F.S.)
| | - Mariangela Mininni
- Department Direzione Generale per la Salute e le Politiche della Persona, Regione Basilicata, Via Vincenzo Verrastro, 4, 85100 Potenza, Italy;
| | - Giovanni Deiana
- Unit of Oncological Gynecology, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Via Padre Pio, 1, 85028 Potenza, Italy; (G.D.); (F.S.)
| | - Graziella Marino
- Unit of Breast Surgery, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), 85028 Potenza, Italy;
| | - Rosa Divella
- Nutritionist’s Studio at the Gravina in Puglia, C.so Giuseppe Di Vittorio, 14, 70024 Bari, Italy;
| | - Ilaria Bochicchio
- Unit of Clinical Psychology, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Via Padre Pio, 1, 85028 Potenza, Italy; (I.B.); (A.G.); (S.L.); (A.R.L.)
| | - Alda Giuliano
- Unit of Clinical Psychology, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Via Padre Pio, 1, 85028 Potenza, Italy; (I.B.); (A.G.); (S.L.); (A.R.L.)
| | - Stefania Lapadula
- Unit of Clinical Psychology, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Via Padre Pio, 1, 85028 Potenza, Italy; (I.B.); (A.G.); (S.L.); (A.R.L.)
| | - Alessandro Rocco Lettini
- Unit of Clinical Psychology, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Via Padre Pio, 1, 85028 Potenza, Italy; (I.B.); (A.G.); (S.L.); (A.R.L.)
| | - Francesca Sanseverino
- Unit of Oncological Gynecology, Centro di Riferimento Oncologico della Basilicata (IRCCS-CROB), Via Padre Pio, 1, 85028 Potenza, Italy; (G.D.); (F.S.)
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Chen H, Shi D, Guo C, Zhang W, Guo Y, Yang F, Wang R, Zhang J, Fang Z, Yan Y, Mao S, Yao X. Can uric acid affect the immune microenvironment in bladder cancer? A single-center multi-omics study. Mol Carcinog 2024; 63:461-478. [PMID: 38018692 DOI: 10.1002/mc.23664] [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: 09/21/2023] [Revised: 11/05/2023] [Accepted: 11/13/2023] [Indexed: 11/30/2023]
Abstract
Metabolic abnormalities are one of the important factors in bladder cancer (BCa) progression and microenvironmental disturbance. As an important product of purine metabolism, uric acid's (UA) role in BCa metabolism and immunotherapy remains unclear. In this study, we conducted a retrospective analysis of a cohort comprising 39 BCa patients treated with PD-1 and 169 patients who underwent radical cystectomy at Shanghai Tenth People's Hospital. Kaplan-Meier curves and Cox regression analysis showed that the prognosis of patients with high UA is worse (p = 0.007), and high UA is an independent risk factor for cancer specific survival in patients with BCa (p = 0.025). We established a hyperuricemia mouse model with BCa subcutaneous xenografts in vivo. The results revealed that the subcutaneous tumors of hyperuricemia mice had a greater weight and volume in comparison with the control group. Through flow cytometric analysis, the proportion of CD8+ and CD4+ T cells in these subcutaneous tumors was seen to decline significantly. We also evaluated the relationship of UA and BCa by muti-omic analysis. UA related genes were significantly increased in the CD8+ T cell of non-responders to immunotherapy by single-cell sequencing. An 11-gene UA related signature was constructed and the risk score negatively correlated with various immune cells and immune checkpoints. Finally, a nomogram was established using a UA related signature to forecast the survival rate of patients with BCa. Collectively, this study demonstrated that UA was an independent prognostic biomarker for BCa and was associated with worse immunotherapy response.
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Affiliation(s)
- Haotian Chen
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Donghui Shi
- Department of Urology, Suzhou Wuzhong People's Hospital, Wuzhong, China
| | - Changfeng Guo
- Department of Logistic Support, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China
| | - Wentao Zhang
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Yadong Guo
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Fuhan Yang
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Ruiliang Wang
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Junfeng Zhang
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Zujun Fang
- Department of Urology, Huashan Hospital, Fudan University, Shanghai, China
| | - Yang Yan
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Shiyu Mao
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
| | - Xudong Yao
- Department of Urology, Shanghai Tenth People's Hospital, School of Medicine, Tongji University, Shanghai, China
- Urologic Cancer Institute, School of Medicine, Tongji University, Shanghai, China
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7
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Cui H, Zhang W, Zhang L, Qu Y, Xu Z, Tan Z, Yan P, Tang M, Yang C, Wang Y, Chen L, Xiao C, Zou Y, Liu Y, Zhang L, Yang Y, Yao Y, Li J, Liu Z, Yang C, Jiang X, Zhang B. Risk factors for prostate cancer: An umbrella review of prospective observational studies and mendelian randomization analyses. PLoS Med 2024; 21:e1004362. [PMID: 38489391 PMCID: PMC10980219 DOI: 10.1371/journal.pmed.1004362] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 03/29/2024] [Accepted: 02/16/2024] [Indexed: 03/17/2024] Open
Abstract
BACKGROUND The incidence of prostate cancer is increasing in older males globally. Age, ethnicity, and family history are identified as the well-known risk factors for prostate cancer, but few modifiable factors have been firmly established. The objective of this study was to identify and evaluate various factors modifying the risk of prostate cancer reported in meta-analyses of prospective observational studies and mendelian randomization (MR) analyses. METHODS AND FINDINGS We searched PubMed, Embase, and Web of Science from the inception to January 10, 2022, updated on September 9, 2023, to identify meta-analyses and MR studies on prostate cancer. Eligibility criteria for meta-analyses were (1) meta-analyses including prospective observational studies or studies that declared outcome-free at baseline; (2) evaluating the factors of any category associated with prostate cancer incidence; and (3) providing effect estimates for further data synthesis. Similar criteria were applied to MR studies. Meta-analysis was repeated using the random-effects inverse-variance model with DerSimonian-Laird method. Quality assessment was then conducted for included meta-analyses using AMSTAR-2 tool and for MR studies using STROBE-MR and assumption evaluation. Subsequent evidence grading criteria for significant associations in meta-analyses contained sample size, P values and 95% confidence intervals, 95% prediction intervals, heterogeneity, and publication bias, assigning 4 evidence grades (convincing, highly suggestive, suggestive, or weak). Significant associations in MR studies were graded as robust, probable, suggestive, or insufficient considering P values and concordance of effect directions. Finally, 92 selected from 411 meta-analyses and 64 selected from 118 MR studies were included after excluding the overlapping and outdated studies which were published earlier and contained fewer participants or fewer instrument variables for the same exposure. In total, 123 observational associations (45 significant and 78 null) and 145 causal associations (55 significant and 90 null) were categorized into lifestyle; diet and nutrition; anthropometric indices; biomarkers; clinical variables, diseases, and treatments; and environmental factors. Concerning evidence grading on significant associations, there were 5 highly suggestive, 36 suggestive, and 4 weak associations in meta-analyses, and 10 robust, 24 probable, 4 suggestive, and 17 insufficient causal associations in MR studies. Twenty-six overlapping factors between meta-analyses and MR studies were identified, with consistent significant effects found for physical activity (PA) (occupational PA in meta: OR = 0.87, 95% CI: 0.80, 0.94; accelerator-measured PA in MR: OR = 0.49, 95% CI: 0.33, 0.72), height (meta: OR = 1.09, 95% CI: 1.06, 1.12; MR: OR = 1.07, 95% CI: 1.01, 1.15, for aggressive prostate cancer), and smoking (current smoking in meta: OR = 0.74, 95% CI: 0.68, 0.80; smoking initiation in MR: OR = 0.91, 95% CI: 0.86, 0.97). Methodological limitation is that the evidence grading criteria could be expanded by considering more indices. CONCLUSIONS In this large-scale study, we summarized the associations of various factors with prostate cancer risk and provided comparisons between observational associations by meta-analysis and genetically estimated causality by MR analyses. In the absence of convincing overlapping evidence based on the existing literature, no robust associations were identified, but some effects were observed for height, physical activity, and smoking.
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Affiliation(s)
- Huijie Cui
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Wenqiang Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Li Zhang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yang Qu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhengxing Xu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhixin Tan
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Peijing Yan
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Mingshuang Tang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chao Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yutong Wang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Lin Chen
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Chenghan Xiao
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yanqiu Zou
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yunjie Liu
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Ling Zhang
- Department of Iatrical Polymer Material and Artificial Apparatus, School of Polymer Science and Engineering, Sichuan University, Chengdu, China
| | - Yanfang Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yuqin Yao
- Department of Occupational and Environmental Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Jiayuan Li
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Zhenmi Liu
- Department of Maternal, Child and Adolescent Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Chunxia Yang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Xia Jiang
- Department of Epidemiology and Biostatistics, Institute of Systems Epidemiology, and West China-PUMC C. C. Chen Institute of Health, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
- Department of Nutrition and Food Hygiene, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
- Department of Clinical Neuroscience, Karolinska Institute, Stockholm, Sweden
| | - Ben Zhang
- Hainan General Hospital and Hainan Affiliated Hospital, Hainan Medical University, Haikou, China; West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
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Yan X, Gong J, Wang Z, Wu Q, Qi C, Wang F. Serum uric acid was non-linearly associated with the risk of all-cause and cardiovascular death in individuals with coronary heart disease: a large prospective cohort study. Front Endocrinol (Lausanne) 2023; 14:1278595. [PMID: 38192419 PMCID: PMC10773754 DOI: 10.3389/fendo.2023.1278595] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Accepted: 11/17/2023] [Indexed: 01/10/2024] Open
Abstract
Objective To investigate the association of serum uric acid (SUA) with all-cause and cardiovascular death in individuals with coronary heart disease (CHD). Methods In this prospective cohort study, 1556 individuals from the National Health and Nutrition Examination Survey (1999-2015) were included in the analysis. Multivariate COX regression analysis, restricted cubic spline plot (RCS) and threshold effect were used to investigate the association between SUA and all-cause and cardiovascular death in individuals with CHD. Results In the fully adjusted model, when SUA was regarded as a continuous variable, it was closely associated with the risk of all-cause and cardiovascular death (P < 0.01). When all participants were divided into four groups according to the quartile of SUA, compared with Q1 group, only individuals in Q4 group had higher risk of all-cause and cardiovascular death (P = 0.002 and 0.034). The following subgroup analysis showed that the association between SUA and all-cause death risk was still statistically significant in individuals over 60 years old, male, with hypertension, without diabetes and with chronic kidney disease, while the association with cardiovascular death risk only persisted in individuals over 60 years old and male (P < 0.05). Further sensitivity analysis showed that SUA was still closely associated with all-cause and cardiovascular death, whether as a continuous variable or a classified variable (P = 0.007 and 0.044). RCS analysis revealed that SUA had a nonlinear association with all-cause and cardiovascular death risk (P for nonlinearity < 0.01). Threshold effect analysis showed that SUA below 345 umol/L was negatively associated with all-cause and cardiovascular death risk (P < 0.05), while SUA above 345 umol/L was positively associated with all-cause and cardiovascular death risk (P < 0.001), and the 2-piecewise regression model was better than the 1-line regression model (P for likelihood ratio test < 0.05). Conclusion SUA had a nonlinear association with all-cause and cardiovascular death risk in individuals with CHD.
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Affiliation(s)
- Xuejiao Yan
- Department of Cardiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Jing Gong
- Department of Geriatrics, Nanjing Tongren Hospital, School of Medicine, Southeast University, Nanjing, China
| | - Zhenwei Wang
- Department of Cardiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China
| | - Qiyong Wu
- Department of Thoracic and Cardiac Surgery, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Chunjian Qi
- Medical Research Center, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
| | - Fangfang Wang
- Department of Cardiology, The Affiliated Changzhou No.2 People’s Hospital of Nanjing Medical University, Changzhou, Jiangsu, China
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Ionescu VA, Gheorghe G, Bacalbasa N, Chiotoroiu AL, Diaconu C. Colorectal Cancer: From Risk Factors to Oncogenesis. MEDICINA (KAUNAS, LITHUANIA) 2023; 59:1646. [PMID: 37763765 PMCID: PMC10537191 DOI: 10.3390/medicina59091646] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Revised: 09/05/2023] [Accepted: 09/09/2023] [Indexed: 09/29/2023]
Abstract
Colorectal cancer is the second leading cause of cancer-related mortality worldwide. Numerous pathophysiological mechanisms, such as abnormal cell proliferation, cell differentiation, resistance to apoptosis, invasion of structures adjacent to colorectal tumor cells, and distant metastasis, are involved in colorectal carcinogenesis. These processes are initiated by the complex interaction of a number of genetic and environmental factors, including sedentary lifestyle, obesity, alcohol consumption, smoking, or gut microbiota. Despite the significant progress achieved in the diagnostic and therapeutic management of patients with colorectal cancer, there has been recently a noteworthy increase in the incidence of colorectal cancer in individuals below the age of 50 years. Early-onset colorectal cancer has a different frequency of oncogenic mutations, a higher prevalence of mucinous histology, a distinct deoxyribonucleic acid (DNA) methylation profile, a more distal location, and lower survival rates. A significant improvement in the prognosis of these patients can be achieved through the detection and removal of modifiable risk factors, along with the implementation of personalized screening strategies for individuals at high risk for this malignancy. Furthermore, gaining comprehension of the pathophysiological mechanisms by which these risk factors contribute to the process of oncogenesis may facilitate the discovery of novel therapeutic targets.
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Affiliation(s)
- Vlad Alexandru Ionescu
- Faculty of Medicine, University of Medicine and Pharmacy Carol Davila Bucharest, 050474 Bucharest, Romania; (V.A.I.); (N.B.)
- Internal Medicine Department, Clinical Emergency Hospital of Bucharest, 105402 Bucharest, Romania
- Department of Cellular and Mollecular Pathology, Stefan S. Nicolau Institute of Virology, Romanian Academy, 030304 Bucharest, Romania
| | - Gina Gheorghe
- Faculty of Medicine, University of Medicine and Pharmacy Carol Davila Bucharest, 050474 Bucharest, Romania; (V.A.I.); (N.B.)
- Department of Cellular and Mollecular Pathology, Stefan S. Nicolau Institute of Virology, Romanian Academy, 030304 Bucharest, Romania
- Gastroenterology Department, Clinical Emergency Hospital of Bucharest, 105402 Bucharest, Romania
| | - Nicolae Bacalbasa
- Faculty of Medicine, University of Medicine and Pharmacy Carol Davila Bucharest, 050474 Bucharest, Romania; (V.A.I.); (N.B.)
- Department of Visceral Surgery, Center of Excellence in Translational Medicine, Fundeni Clinical Institute, 022328 Bucharest, Romania
| | | | - Camelia Diaconu
- Faculty of Medicine, University of Medicine and Pharmacy Carol Davila Bucharest, 050474 Bucharest, Romania; (V.A.I.); (N.B.)
- Internal Medicine Department, Clinical Emergency Hospital of Bucharest, 105402 Bucharest, Romania
- Academy of Romanian Scientists, 050085 Bucharest, Romania
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