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Jia Z, Zhang H, Lv Y, Yu L, Cui Y, Zhang L, Yang C, Liu H, Zheng T, Xia W, Xu S, Li Y. Intrauterine chromium exposure and cognitive developmental delay: The modifying effect of genetic predisposition. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 946:174350. [PMID: 38960203 DOI: 10.1016/j.scitotenv.2024.174350] [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: 03/06/2024] [Revised: 06/04/2024] [Accepted: 06/26/2024] [Indexed: 07/05/2024]
Abstract
There is limited evidence on the effects of intrauterine chromium (Cr) exposure on children's cognitive developmental delay (CDD). Further, little is known about the genetic factors in modifying the association between intrauterine Cr exposure and CDD. The present study involved 2361 mother-child pairs, in which maternal plasma Cr concentrations were assessed, a polygenic risk score for the child was constructed, and the child's cognitive development was evaluated using the Bayley Scales of Infant Development. The risks of CDD conferred by intrauterine Cr exposure in children with different genetic backgrounds were evaluated by logistic regression. The additive interaction between intrauterine Cr exposure and genetic factors was evaluated by calculating the relative excess risk due to interaction (RERI), attributable proportion due to interaction (AP), and synergy index (SI). According to present study, higher intrauterine Cr exposure was significantly associated with increased CDD risk [each unit increase in ln-transformed maternal plasma Cr concentration (ln-Cr): adjusted OR (95 % CI), 1.18 (1.04-1.35); highest vs lowest quartile: adjusted OR (95 % CI), 1.57 (1.10-2.23)]. The dose-response relationship of intrauterine Cr exposure and CDD for children with high genetic risk was more prominent [each unit increased ln-Cr: adjusted OR (95 % CI), 1.36 (1.09-1.70)]. Joint effects between intrauterine Cr exposure and genetic factors were found. Specifically, for high genetic risk carriers, the association between intrauterine Cr exposure and CDD was more evident [highest vs lowest quartile: adjusted OR (95 % CI), 2.33 (1.43-3.80)]. For those children with high intrauterine Cr exposure and high genetic risk, the adjusted AP was 0.39 (95 % CI, 0.07-0.72). Conclusively, intrauterine Cr exposure was a high-risk factor for CDD in children, particularly for those with high genetic risk. Intrauterine Cr exposure and one's adverse genetic background jointly contribute to an increased risk of CDD in children.
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Affiliation(s)
- Zhenxian Jia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Hongling Zhang
- Wuchang University of Technology, Wuhan, Hubei, People's Republic of China
| | - Yiqing Lv
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Ling Yu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Yuan Cui
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Liping Zhang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Chenhui Yang
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Hongxiu Liu
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Tongzhang Zheng
- Department of Epidemiology, School of Public Health, Brown University, Providence, RI 02912, United States
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China
| | - Shunqing Xu
- School of Environmental Science and Engineering, Hainan University, Haikou 570228, People's Republic of China.
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, People's Republic of China.
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Huang R, Kong X, Geng R, Wu J, Chen T, Li J, Li C, Wu Y, You D, Zhao Y, Zhong Z, Ni S, Bai J. Joint and interactive associations of body mass index and genetic factors with cardiovascular disease: a prospective study in UK Biobank. BMC Public Health 2024; 24:2371. [PMID: 39223569 PMCID: PMC11367834 DOI: 10.1186/s12889-024-19916-6] [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: 01/15/2024] [Accepted: 08/28/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND Both body mass index (BMI) and genetic factors independently contribute to cardiovascular disease (CVD). However, it is unclear whether genetic risk modifies the association between BMI and the risk of incident CVD. This study aimed to investigate whether BMI categories and genetic risk jointly and interactively contribute to incident CVD events, including hypertension (HTN), atrial fibrillation (AF), coronary heart disease (CHD), stroke, and heart failure (HF). METHODS A total of 496,851 participants from the UK Biobank with one or more new-onset CVD events were included in the analyses. BMI was categorized as normal weight (< 25.0 kg/m2), overweight (25.0-29.9 kg/m2), and obesity (≥ 30.0 kg/m2). Genetic risk for each outcome was defined as low (lowest tertile), intermediate (second tertile), and high (highest tertile) using polygenic risk score. The joint associations of BMI categories and genetic risk with incident CVD were investigated using Cox proportional hazard models. Additionally, additive interactions were evaluated. RESULTS Among the 496,851 participants, 270,726 (54.5%) were female, with a mean (SD) age was 56.5 (8.1) years. Over a median follow-up (IQR) of 12.4 (11.5-13.1) years, 102,131 (22.9%) participants developed HTN, 26,301 (5.4%) developed AF, 32,222 (6.9%) developed CHD, 10,684 (2.2%) developed stroke, and 13,304 (2.7%) developed HF. Compared with the normal weight with low genetic risk, the obesity with high genetic risk had the highest risk of CVD: HTN (HR: 3.96; 95%CI: 3.84-4.09), AF (HR: 3.60; 95%CI: 3.38-3.83), CHD (HR: 2.76; 95%CI: 2.61-2.91), stroke (HR: 1.44; 95%CI: 1.31-1.57), and HF (HR: 2.47; 95%CI: 2.27-2.69). There were significant additive interactions between BMI categories and genetic risk for HTN, AF, and CHD, with relative excess risk of 0.53 (95%CI: 0.43-0.62), 0.67 (95%CI: 0.51-0.83), and 0.37 (95%CI: 0.25-0.49), respectively. CONCLUSIONS BMI and genetic factors jointly and interactively contribute to incident CVD, especially among participants with high genetic risk. These findings have public health implications for identifying populations more likely to have cardiovascular benefit from weight loss interventions.
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Affiliation(s)
- Ruyu Huang
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Xinxin Kong
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Rui Geng
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Jingwei Wu
- Department of Epidemiology and Biostatistics, College of Public Health, Temple University, Philadelphia, PA, 19122, USA
| | - Tao Chen
- Center for Health Economics, University of York, York, YO105DD, UK
| | - Jiong Li
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Chunjian Li
- Department of Cardiology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yaqian Wu
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Dongfang You
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Yang Zhao
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
| | - Zihang Zhong
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Senmiao Ni
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
| | - Jianling Bai
- Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
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Sutoh Y, Hachiya T, Otsuka-Yamasaki Y, Komaki S, Minabe S, Ohmomo H, Sasaki M, Shimizu A. Healthy lifestyle practice correlates with decreased obesity prevalence in individuals with high polygenic risk: TMM CommCohort study. J Hum Genet 2024:10.1038/s10038-024-01280-3. [PMID: 39174808 DOI: 10.1038/s10038-024-01280-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2024] [Revised: 06/24/2024] [Accepted: 07/24/2024] [Indexed: 08/24/2024]
Abstract
Obesity and overweight, fundamental components of the metabolic syndrome, predispose individuals to lifestyle-related diseases. The extent to which adopting healthy lifestyles can reduce obesity risk, even in those with a high genetic risk, remains uncertain. Our aim was to assess the extent to which lifestyle modifications can improve outcomes in individuals with a high polygenic score (PGS) for obesity. We quantified the genetic risk of obesity using PGSs. Four datasets from the Tohoku Medical Megabank Community-Based Cohort (TMM CommCohort) were employed in the study. One dataset (n = 9958) was used to select the best model for calculating PGS. The remaining datasets (total n = 69,341) were used in a meta-analysis to validate the model and to evaluate associated risks. The odds ratio (OR) for obesity risk in the intermediate (11th-90th percentiles in the dataset) and high PGS categories (91st-100th) was 2.27 [95% confidence intervals: 2.12-2.44] and 4.83 [4.45-5.25], respectively, compared to that in the low PGS category (1st-10th). Trend analysis showed that an increase in leisure-time physical activity was significantly associated with reduced obesity risk across all genetic risk categories, representing an OR of 0.9 [0.87-0.94] even among individuals in the high PGS category. Similarly, sodium intake displayed a positive association with obesity across all genetic risk categories, yielding an OR of 1.24 [1.17-1.31] in the high PGS category. The risk of obesity was linked to the adoption of healthy lifestyles, even in individuals with high PGS. Our results may provide perspectives for integrating PGSs into preventive medicine.
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Affiliation(s)
- Yoichi Sutoh
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Tsuyoshi Hachiya
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Yayoi Otsuka-Yamasaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Shohei Komaki
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Shiori Minabe
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Hideki Ohmomo
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Makoto Sasaki
- Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan
- Division of Ultrahigh Field MRI, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan
| | - Atsushi Shimizu
- Division of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Disaster Reconstruction Center, Iwate Medical University, Yahaba, Japan.
- Division of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Yahaba, Japan.
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Jing Y, Qu J, Jiang S, Wang X. Case Report: A report on the countermeasures after PICC line breakage in 3 postoperative breast cancer patients. Front Surg 2024; 11:1416855. [PMID: 39229252 PMCID: PMC11368779 DOI: 10.3389/fsurg.2024.1416855] [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: 04/13/2024] [Accepted: 07/29/2024] [Indexed: 09/05/2024] Open
Abstract
Peripherally inserted central catheter (PICC) is a widely used technique in oncology chemotherapy, characterized by safety, reliability, and long dwell time. However, a catheter can break due to various causes. When an acute rupture occurs, it always lead to sever complications which may threaten patients' safety and potentially result in medical disputes. In this study, we collected and analyzed 3 cases of PICC line breakage causing drug leakage in our hospital from 2018 to 2023. All these 3 cases were postoperative breast cancer patients accepting chemotherapy, with 2 cases involving external partial breakage and 1 case involving internal partial breakage. Due to timely and appropriate management, no acute rupture occurred. We propose some ideas such as selecting high-quality catheter materials and avoiding over extension or repeated bending are crucial in preventing PICC line breakage. In addition, we also recommend establishing a standardized and scientific management pattern of PICC to ensure the safety and effectiveness of its clinical application, including comprehensive assessment, "four-element" intervention, and continuous evaluation.
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Affiliation(s)
- Yuqin Jing
- Breast Surgery, Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Jing Qu
- Breast Surgery, Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Shuo Jiang
- Department of Nursing, Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, China
| | - Xiaomin Wang
- Department of Nursing, Jinan Maternity and Child Care Hospital Affiliated to Shandong First Medical University, Jinan, China
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Peng Y, Wang P, Du H, Liu F, Wang X, Si C, Gong J, Zhou H, Chen K, Song F. Cardiovascular health, polygenic risk score, and cancer risk: a prospective cohort study. Am J Clin Nutr 2024:S0002-9165(24)00658-0. [PMID: 39134210 DOI: 10.1016/j.ajcnut.2024.07.033] [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: 12/04/2023] [Revised: 05/18/2024] [Accepted: 07/30/2024] [Indexed: 09/02/2024] Open
Abstract
BACKGROUND Cancer and cardiovascular disease share common lifestyle risk factors. However, it remains unclear whether cardiovascular health (CVH) evaluated by Life's Essential 8 can predict cancer risk, and attenuate the influence of genetic susceptibility on cancer. OBJECTIVES We aimed to evaluate independent and joint associations of CVH and polygenic risk score (PRS) with risks of overall and site-specific cancers. METHODS We undertook a population-based cohort study based on the UK Biobank. The CVH score was constructed by physical activity, body mass index, nicotine exposure, sleep, diet, blood pressure, lipid profile, and blood glucose. PRSs were assessed individually for 18 cancer types by their independent single-nucleotide polymorphisms previously identified in genome-wide association studies. Multivariable Cox proportional-hazards models were applied to explore the independent and joint associations of CVH and PRS with cancer incidence risk. The results were displayed as hazard ratio (HR) and 95% confidence interval (CI). RESULTS Compared with low CVH, high CVH was associated with decreased risks of overall cancer and the majority of common cancers, including digestive system [HRs (95% CI): 0.33 (0.23, 0.45)-0.66 (0.58, 0.75)], lung (HR: 0.25; 95% CI: 0.21, 0.31), renal (HR: 0.42; 95% CI: 0.32, 0.56), bladder (HR: 0.55; 95% CI: 0.44, 0.69), breast (HR: 0.83; 95% CI: 0.74, 0.92), and endometrial cancers (HR: 0.39; 95% CI: 0.30, 0.51). For overall cancer in males, there was an interaction between CVH and PRS. Notably, individuals with high CVH across all levels of PRS had lower risks of overall cancer for females and 8 site-specific cancers than those with low CVH and high PRS [HRs (95% CIs): 0.18 (0.12, 0.25)-0.79 (0.71, 0.87)]. CONCLUSIONS High CVH was related to decreased risks of overall cancer and multiple cancers regardless of genetic predispositions. Our findings underscored the value of improving CVH for cancer prevention in the general population.
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Affiliation(s)
- Yu Peng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Han Du
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Fubin Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Xixuan Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Changyu Si
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Jianxiao Gong
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Huijun Zhou
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China
| | - Kexin Chen
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
| | - Fangfang Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University Cancer Institute and Hospital, Tianjin Medical University, Tianjin, China.
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Zhao Y, Song Y, Li X, Guo A. Association of Life's Essential 8 cardiovascular health with breast cancer incidence and mortality according to genetic susceptibility of breast cancer: a prospective cohort study. Breast Cancer Res 2024; 26:121. [PMID: 39118137 PMCID: PMC11311885 DOI: 10.1186/s13058-024-01877-8] [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: 05/31/2024] [Accepted: 08/02/2024] [Indexed: 08/10/2024] Open
Abstract
BACKGROUND Accumulating evidence suggests that cardiovascular diseases and breast cancer share a number of common risk factors, however, evidence on the association between cardiovascular health (CVH) and breast cancer is limited. The present study aimed to assess the association of CVH, defined by Life's Essential 8 (LE8) and genetic risk with breast cancer incidence and mortality among premenopausal and postmenopausal women. METHODS We used data from the UK Biobank and conducted the multivariate Cox proportional-hazards models to examine associations of LE8 score and genetic risk with breast cancer incidence and mortality. Date on LE8 score was collected between 2006 and 2010 and composed of eight components, including behavioral metrics (diet, tobacco or nicotine exposure, physical activity, and sleep health), and biological metrics (body mass index, blood lipids, blood glucose, and blood pressure). The polygenic risk score (PRS) was calculated as the sum of effect sizes of individual genetic variants multiplied by the allele dosage. RESULTS A total of 150,566 premenopausal and postmenopausal women were included. Compared to postmenopausal women with low LE8 score, those with high LE8 score were associated with 22% lower risk of breast cancer incidence (HR: 0.78, 95% CI: 0.70-0.87) and 43% lower risk of breast cancer mortality (HR: 0.57, 95% CI: 0.36-0.90). By contrast, we did not observe the significant association among premenopausal women. Further analyses stratified by PRS categories showed that high LE8 score was associated with 28% and 71% decreased risk of breast cancer incidence (HR: 0.72, 95% CI: 0.60-0.87) and mortality (HR: 0.29, 95% CI: 0.10-0.83) compared to low LE8 score among high genetic risk groups, but no significant associations were found among low genetic risk groups. Furthermore, compared with postmenopausal women with high LE8 score and low genetic risk, those with low LE8 score and high genetic risk were associated with increased risk of breast cancer incidence (HR: 6.26, 95% CI: 4.43-8.84). CONCLUSIONS The present study suggests that better CVH is a protective factor for both breast cancer incidence and mortality among postmenopausal women. Moreover, the risk of developing breast cancer caused by high genetic susceptibility could be largely offset by better CVH.
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Affiliation(s)
- Yan Zhao
- Department of Breast Surgery, The First Hospital of China Medical University, No.155, Nanjing North Street, Heping District, Shenyang, Liaoning, 110001, China
| | - Yang Song
- Department of Gynaecology and Obstetrics, Shengjing Hospital of China Medical University, No.36, Sanhao Street, Heping District, Shenyang, Liaoning, 110004, China
| | - Xiangmin Li
- Department of Oncology, Shengjing Hospital of China Medical University, No.36, Sanhao Street, Heping District, Shenyang, Liaoning, 110004, China.
| | - Ayao Guo
- Department of Breast Surgery, The First Hospital of China Medical University, No.155, Nanjing North Street, Heping District, Shenyang, Liaoning, 110001, China.
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Lehrer S, Rheinstein P. The paired immunoglobulin-like type 2 receptor alpha (PILRA) gene polymorphism rs1859788 reduces risk of Alzheimer's Disease in men homozygous for the ApoE ε4 allele. RESEARCH SQUARE 2024:rs.3.rs-4798019. [PMID: 39149451 PMCID: PMC11326400 DOI: 10.21203/rs.3.rs-4798019/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/17/2024]
Abstract
Background The APOE gene has long been associated with Alzheimer Disease (AD) risk. Emerging research indicates that other genetic loci, including the paired immunoglobulin-like type 2 receptor alpha (PILRA) gene, may play a crucial role. In the current study we used UK Biobank data to assess the relationship between PILRA and AD. Methods We examined the PILRA polymorphism rs1859788, a single nucleotide missense variant, G > A, minor allele frequency 0.3. Single nucleotide polymorphism (SNP) data for rs429358 and rs7412 determined APOE isoform. We used PheWeb to perform a phenome wide association study (phewas) of rs1859788 and identify other conditions that might be related to both AD and rs1859788. Results In male subjects homozygous for ApoE isoform ε4/ε4, of the men without AD, 9.7% had AA genotype; of the men with AD, 1.8% had AA genotype. This difference was significant (p = 0.006, two tail Fisher exact test). In female subjects homozygous for ApoE isoform ε4/ε4, of the women without AD, 10.4% had AA genotype; of the women with AD 7.9% had AA genotype. This difference was not significant (p = 0.481). In subjects not homozygous for ApoE isoform ε4/ε4, the effect of PILRA genotype was not significant. A phewas of rs1859788 found an association with megaloblastic anemia. Conclusion We have confirmed the previously noted PILRA snp rs1859788 risk reduction of AD, as well as a PILRA link to the ApoE ε4 isoform that has been previously described. We are uncertain why the significant association is only with men who are homozygous for the ε4/ε4 isoform. A phewas indicated that PILRA SNP rs1859788 is associated with megaloblastic anemia, which may explain an observed association between AD and anemia. The identification of PILRA as a potential risk gene for Alzheimer's disease underscores the complexity of the genetic landscape contributing to AD. Alongside APOE, PILRA may play a significant role in modulating key pathological processes such as neuroinflammation and amyloid-beta accumulation.
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Lehrer S, Rheinstein PH. Tall women with breast cancer have poorer survival than short women. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.07.08.24310089. [PMID: 39040191 PMCID: PMC11261922 DOI: 10.1101/2024.07.08.24310089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/24/2024]
Abstract
Background Tall women are more likely to develop breast cancer (BC). High Mobility Group AT-Hook 1(HMGA1), an oncofetal protein, plays a role in the progression of breast cancer. Non-coding sequences proximal to HMGA1 contain variants associated with 4.83 cm taller height. In the current study, we used UK Biobank data to examine the relationship of HMGA1 to height, risk, and prognosis of women with breast cancer. Methods Our analysis included all subjects with invasive BC that occurred either before or after participant enrollment and were recorded in the UK Biobank database using self-reported data and the International Classification of Diseases (ICD10, ICD9). We divided the subjects into three previously described three height groups: Short (< 155 cm), Medium (155 cm to 175 cm), Tall (> 175 cm). We analyzed the HMGA1 SNP rs41269028, a single nucleotide intron variant, C > T, minor allele frequency 0.044. SNP rs41269028 was previously evaluated in subjects with diabetes. Results Height of 9583 women with BC homozygous for the HMGA1 SNP rs41269028 major allele was 162.29 cm ± 6.18. Height of 944 women with BC who were carriers or homozygotes (CT + TT) of the minor allele T was 162.88 cm ± 6.001. This difference was significant (p = 0.005). The effect of height group on survival was significant (p = 0.032, log rank test). Tall women had the poorest survival. The effect of HMGA1 SNP rs41269028 genotype on BC risk (p = 0.602) and survival (p = 0.439, log rank test) was insignificant. Conclusion We conclude that HMGA1 influences height, but we were unable to demonstrate that HMGA1 is related to increased incidence or poor prognosis of tall women with breast cancer. We did find that tall women with breast cancer have poorer survival than short women. Our finding that tall women have a worse prognosis is important because it could help the oncologist decide, along with other prognostic factors, whether adjuvant therapy is warranted.
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Affiliation(s)
- Steven Lehrer
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York
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Lehrer S, Rheinstein PH. Salbutamol, a Short Acting Beta-2 Agonist, Reduces Risk and Improves Prognosis of Prostate Cancer. Am J Clin Oncol 2024:00000421-990000000-00216. [PMID: 38973267 DOI: 10.1097/coc.0000000000001134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2024]
Abstract
OBJECTIVES Beta-blockers, a class of drugs commonly used to manage blood pressure, have been the subject of research regarding their relationship to prostate cancer (PC) risk, prognosis, and treatment. Beta-blockers reduce risk and improve the prognosis of PC. Perioperative use of a nonselective beta-blocker improves outcomes after radical prostatectomy. However, a related class of drugs, beta-2 adrenergic agonists, has received little attention in PC. METHODS We studied the relationship of the beta-2 adrenergic agonist salbutamol to PC risk and survival. We analyzed Food and Drug Administration MedWatch data to determine whether salbutamol could influence the risk of PC. We used UK Biobank data to assess the effect of salbutamol on PC survival. RESULTS Salbutamol significantly reduces PC risk, proportional reporting ratio, and 95% CI (lower bound; upper bound): 0.131 (0.11; 0.155) and improves prognosis. Mean survival was 7.35 years for subjects not taking salbutamol, and 10.5 years for subjects taking salbutamol (P = 0.041, log-rank test. To adjust for the effect of age, we performed proportional hazards regression, survival time-dependent variable, age, and salbutamol use independent variables. Salbutamol use was significantly related to survival time (P = 0.016) and independent of the significant effect of age (P < 0.001). CONCLUSIONS We found a lower proportion of PCs in salbutamol-treated people, but we have not demonstrated that PC risk is reduced (there is no proof of causality). There is no causality relationship between salbutamol and the survival of patients with PC treated with salbutamol versus those not treated with the drug. Yet, there is a trend in favor of salbutamol-treated patient survival. Therefore, salbutamol and other beta-adrenergic agonists might represent a new class of drugs for the treatment of PC.
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Affiliation(s)
- Steven Lehrer
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY
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10
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Wang J, Wang Q, Shi Z, Yan X, Lei Z, Zhu W. Serum Lipid Levels, Genetic Risk, and Lung Cancer Incidence: A Large Prospective Cohort Study. Cancer Epidemiol Biomarkers Prev 2024; 33:896-903. [PMID: 38661323 DOI: 10.1158/1055-9965.epi-24-0260] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2024] [Revised: 04/05/2024] [Accepted: 04/23/2024] [Indexed: 04/26/2024] Open
Abstract
BACKGROUND Previous studies usually focused on the separate association of metabolism or genetic factors with lung cancer risk and have largely ignored their combined effect. We aimed to examine the associations between serum lipid levels, genetic risk, and lung cancer risk. METHODS A total of 426,524 participants of the UK Biobank were included. The Cox proportional hazards models and restricted cubic splines were performed to assess the association between serum lipid and lung cancer risk. Polygenic risk score (PRS) was constructed to assess its joint effect and interaction with serum lipid on lung cancer risk. RESULTS Higher level of apolipoprotein A was significantly correlated with lower lung cancer risk. An inverse-J-shaped relationship between high-density lipoprotein (HDL) and incident lung cancer was found. Individuals with low total cholesterol, HDL, low-density lipoprotein (LDL), apolipoprotein A, and apolipoprotein B, combined with high PRS, showed significantly elevated lung cancer risks. Compared to those with low PRS and low triglycerides, participants with high PRS and elevated triglyceride levels had a notably higher risk. The interaction effect of high PRS and low LDL [relative excess risk due to the interaction (RERI): 0.25, 95% confidence interval, 0.04-0.46], as well as the interaction effect of high PRS and low apolipoprotein B (RERI: 0.28, 95% confidence interval, 0.07-0.48), were both greater than the sum of their individual effects on lung cancer risk. CONCLUSIONS Serum lipids were associated with lung cancer risk. LDL or apolipoprotein B interacting with genetic risk may affect lung cancer risk. IMPACT Our findings emphasize the need for individuals with heightened genetic risk should pay more attention to their lipid levels to reduce lung cancer risk.
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Affiliation(s)
- Jing Wang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, China
| | - Qi Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ziwei Shi
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Xiaolong Yan
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiqun Lei
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Wenmin Zhu
- Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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11
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Pagadala MS, Lui A, Lynch J, Karunamuni R, Lee KM, Plym A, Rose BS, Carter H, Kibel AS, DuVall SL, Vassy J, Gaziano JM, Panizzon MS, Hauger RL, Seibert TM. Healthy lifestyle and prostate cancer risk in the Million Veteran Program. Cancer 2024. [PMID: 38865417 DOI: 10.1002/cncr.35434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 04/24/2024] [Accepted: 05/21/2024] [Indexed: 06/14/2024]
Abstract
BACKGROUND This study aims to assess the impact of healthy lifestyle on prostate cancer (PCa) risk in a diverse population. METHODS Data for 281,923 men from the Million Veteran Program (MVP), a nationwide, health system-based cohort study, were analyzed. Self-reported information at enrollment included smoking status, exercise, diet, family history of PCa, and race/ethnicity. Body mass index (BMI) was obtained from clinical records. Genetic risk was assessed via a validated polygenic score. Cox proportional hazards models were used to assess associations with PCa outcomes. RESULTS After accounting for ancestry, family history, and genetic risk, smoking was associated with an increased risk of metastatic PCa (hazard ratio [HR], 1.83; 95% confidence interval [CI], 1.64-2.02; p < 10-16) and fatal PCa (HR, 2.73; 95% CI, 2.36-3.25; p < 10-16). Exercise was associated with a reduced risk of fatal PCa (HR, 0.86; 95% CI, 0.76-0.98; p = .03). Higher BMI was associated with a slightly reduced risk of fatal PCa, and diet score was not independently associated with any end point. Association with exercise was strongest among those who had nonmetastatic PCa at MVP enrollment. Absolute reductions in the risk of fatal PCa via lifestyle factors were greatest among men of African ancestry (1.7% for nonsmokers vs. 6.1% for smokers) or high genetic risk (1.4% for nonsmokers vs. 4.3% for smokers). CONCLUSIONS Healthy lifestyle is minimally related to the overall risk of developing PCa but is associated with a substantially reduced risk of dying from PCa. In multivariable analyses, both exercise and not smoking remain independently associated with reduced metastatic and fatal PCa.
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Affiliation(s)
- Meghana S Pagadala
- Research Service, Veterans Affairs (VA) San Diego Healthcare System, San Diego, California, USA
- Medical Scientist Training Program, University of California San Diego, La Jolla, California, USA
- Biomedical Science Program, University of California San Diego, La Jolla, California, USA
| | - Asona Lui
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
- Cancer Center, The Salk Institute for Biological Studies, La Jolla, California, USA
| | - Julie Lynch
- VA Informatics and Computing Infrastructure, VA Salt Lake City Healthcare System, Salt Lake City, Utah, USA
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Roshan Karunamuni
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | - Kyung Min Lee
- VA Informatics and Computing Infrastructure, VA Salt Lake City Healthcare System, Salt Lake City, Utah, USA
| | - Anna Plym
- Department of Urology, Brigham and Women's Hospital, Boston, Massachusetts, USA
- Epidemiology, T.H. Chan School of Public Health, Harvard University, Boston, Massachusetts, USA
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Brent S Rose
- Research Service, Veterans Affairs (VA) San Diego Healthcare System, San Diego, California, USA
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
| | - Hannah Carter
- Department of Medicine, University of California San Diego, La Jolla, California, USA
| | - Adam S Kibel
- Department of Urology, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Scott L DuVall
- VA Informatics and Computing Infrastructure, VA Salt Lake City Healthcare System, Salt Lake City, Utah, USA
- Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, Utah, USA
| | - Jason Vassy
- VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Medicine, Harvard Medical School, Boston, Massachusetts, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - J Michael Gaziano
- Massachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts, USA
- Department of Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA
| | - Matthew S Panizzon
- Research Service, Veterans Affairs (VA) San Diego Healthcare System, San Diego, California, USA
- Center for Behavioral Genetics of Aging, University of California San Diego, La Jolla, California, USA
| | - Richard L Hauger
- Research Service, Veterans Affairs (VA) San Diego Healthcare System, San Diego, California, USA
- Center for Behavioral Genetics of Aging, University of California San Diego, La Jolla, California, USA
- Center of Excellence for Stress and Mental Health, VA San Diego Healthcare System, San Diego, California, USA
| | - Tyler M Seibert
- Research Service, Veterans Affairs (VA) San Diego Healthcare System, San Diego, California, USA
- Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California, USA
- Department of Radiology, University of California San Diego, La Jolla, California, USA
- Department of Bioengineering, University of California San Diego, La Jolla, California, USA
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12
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El-Tanani M, Rabbani SA, Aljabali AA, Matalka II, El-Tanani Y, Rizzo M, Tambuwala MM. The Complex Connection between Obesity and Cancer: Signaling Pathways and Therapeutic Implications. Nutr Cancer 2024; 76:683-706. [PMID: 38847479 DOI: 10.1080/01635581.2024.2361964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2024] [Revised: 05/20/2024] [Accepted: 05/22/2024] [Indexed: 08/02/2024]
Abstract
Obesity has emerged as an important global health challenge, significantly influencing the incidence and progression of various cancers. This comprehensive review elucidates the complex relationship between obesity and oncogenesis, focusing particularly on the role of dysregulated signaling pathways as central mediators of this association. We delve into the contributions of obesity-induced alterations in key signaling cascades, including PI3K/AKT/mTOR, JAK/STAT, NF-κB, and Wnt/β-catenin to carcinogenesis. These alterations facilitate unchecked cellular proliferation, chronic inflammation and apoptosis resistance. Epidemiological evidence links obesity with increased cancer susceptibility and adverse prognostic outcomes, with pronounced risks for specific cancers such as breast, colorectal, endometrial and hepatic malignancies. This review synthesizes data from both animal and clinical studies to underscore the pivotal role of disrupted signaling pathways in shaping innovative therapeutic strategies. We highlight the critical importance of lifestyle modifications in obesity management and cancer risk mitigation, stressing the benefits of dietary changes, physical activity, and behavioral interventions. Moreover, we examine targeted pharmacological strategies addressing aberrant pathways in obesity-related tumors and discuss the integration of cutting-edge treatments, including immunotherapy and precision medicine, into clinical practice.
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Affiliation(s)
- Mohamed El-Tanani
- College of Pharmacy, Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates
| | - Syed Arman Rabbani
- College of Pharmacy, Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates
| | - Alaa A Aljabali
- Department of Pharmaceutics and Pharmaceutical Technology, Yarmouk University, Irbid, Jordan
| | - Ismail I Matalka
- Ras Al Khaimah Medical and Health Sciences University, Ras Al Khaimah, United Arab Emirates
- Department of Pathology and Microbiology, Faculty of Medicine, Jordan University of Science and Technology, Irbid, Jordan
| | - Yahia El-Tanani
- Medical School, St George's University of London, Tooting, London
| | - Manfredi Rizzo
- Department of Health Promotion, Mother and Childcare, Internal Medicine and Medical Specialties, School of Medicine, University of Palermo, Palermo, Italy
| | - Murtaza M Tambuwala
- Lincoln Medical School, University of Lincoln, Brayford Pool Campus, Lincoln, UK
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13
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Marlin S, Goepp M, Desiderio A, Rougé S, Aldekwer S, Le Guennec D, Goncalves-Mendes N, Talvas J, Farges MC, Rossary A. Long-Term High-Fat Diet Limits the Protective Effect of Spontaneous Physical Activity on Mammary Carcinogenesis. Int J Mol Sci 2024; 25:6221. [PMID: 38892407 PMCID: PMC11172547 DOI: 10.3390/ijms25116221] [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: 04/16/2024] [Revised: 05/31/2024] [Accepted: 06/03/2024] [Indexed: 06/21/2024] Open
Abstract
Breast cancer is influenced by factors such as diet, a sedentary lifestyle, obesity, and postmenopausal status, which are all linked to prolonged hormonal and inflammatory exposure. Physical activity offers protection against breast cancer by modulating hormones, immune responses, and oxidative defenses. This study aimed to assess how a prolonged high-fat diet (HFD) affects the effectiveness of physical activity in preventing and managing mammary tumorigenesis. Ovariectomised C57BL/6 mice were provided with an enriched environment to induce spontaneous physical activity while being fed HFD. After 44 days (short-term, ST HFD) or 88 days (long-term, LT HFD), syngenic EO771 cells were implanted into mammary glands, and tumour growth was monitored until sacrifice. Despite similar physical activity and food intake, the LT HFD group exhibited higher visceral adipose tissue mass and reduced skeletal muscle mass. In the tumour microenvironment, the LT HFD group showed decreased NK cells and TCD8+ cells, with a trend toward increased T regulatory cells, leading to a collapse of the T8/Treg ratio. Additionally, the LT HFD group displayed decreased tumour triglyceride content and altered enzyme activities indicative of oxidative stress. Prolonged exposure to HFD was associated with tumour growth despite elevated physical activity, promoting a tolerogenic tumour microenvironment. Future studies should explore inter-organ exchanges between tumour and tissues.
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MESH Headings
- Animals
- Diet, High-Fat/adverse effects
- Female
- Mice
- Mice, Inbred C57BL
- Physical Conditioning, Animal
- Tumor Microenvironment
- Oxidative Stress
- Carcinogenesis
- Mammary Neoplasms, Experimental/pathology
- Mammary Neoplasms, Experimental/metabolism
- Mammary Neoplasms, Experimental/prevention & control
- Cell Line, Tumor
- Mammary Neoplasms, Animal/pathology
- Mammary Neoplasms, Animal/metabolism
- Mammary Neoplasms, Animal/prevention & control
- Intra-Abdominal Fat/metabolism
- Killer Cells, Natural/immunology
- Killer Cells, Natural/metabolism
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Affiliation(s)
- Sébastien Marlin
- UNH—Unité de Nutrition Humaine, CRNH-Auvergne, Université Clermont-Auvergne, INRAe, F-63000 Clermont-Ferrand, France; (S.M.); (A.D.); (S.R.); (S.A.); (D.L.G.); (N.G.-M.); (J.T.)
| | - Marie Goepp
- Resolution Therapeutics, University of Edinburgh, Edinburgh EH16 4UU, UK
| | - Adrien Desiderio
- UNH—Unité de Nutrition Humaine, CRNH-Auvergne, Université Clermont-Auvergne, INRAe, F-63000 Clermont-Ferrand, France; (S.M.); (A.D.); (S.R.); (S.A.); (D.L.G.); (N.G.-M.); (J.T.)
| | - Stéphanie Rougé
- UNH—Unité de Nutrition Humaine, CRNH-Auvergne, Université Clermont-Auvergne, INRAe, F-63000 Clermont-Ferrand, France; (S.M.); (A.D.); (S.R.); (S.A.); (D.L.G.); (N.G.-M.); (J.T.)
| | - Sahar Aldekwer
- UNH—Unité de Nutrition Humaine, CRNH-Auvergne, Université Clermont-Auvergne, INRAe, F-63000 Clermont-Ferrand, France; (S.M.); (A.D.); (S.R.); (S.A.); (D.L.G.); (N.G.-M.); (J.T.)
| | - Delphine Le Guennec
- UNH—Unité de Nutrition Humaine, CRNH-Auvergne, Université Clermont-Auvergne, INRAe, F-63000 Clermont-Ferrand, France; (S.M.); (A.D.); (S.R.); (S.A.); (D.L.G.); (N.G.-M.); (J.T.)
| | - Nicolas Goncalves-Mendes
- UNH—Unité de Nutrition Humaine, CRNH-Auvergne, Université Clermont-Auvergne, INRAe, F-63000 Clermont-Ferrand, France; (S.M.); (A.D.); (S.R.); (S.A.); (D.L.G.); (N.G.-M.); (J.T.)
| | - Jérémie Talvas
- UNH—Unité de Nutrition Humaine, CRNH-Auvergne, Université Clermont-Auvergne, INRAe, F-63000 Clermont-Ferrand, France; (S.M.); (A.D.); (S.R.); (S.A.); (D.L.G.); (N.G.-M.); (J.T.)
| | - Marie-Chantal Farges
- UNH—Unité de Nutrition Humaine, CRNH-Auvergne, Université Clermont-Auvergne, INRAe, F-63000 Clermont-Ferrand, France; (S.M.); (A.D.); (S.R.); (S.A.); (D.L.G.); (N.G.-M.); (J.T.)
| | - Adrien Rossary
- UNH—Unité de Nutrition Humaine, CRNH-Auvergne, Université Clermont-Auvergne, INRAe, F-63000 Clermont-Ferrand, France; (S.M.); (A.D.); (S.R.); (S.A.); (D.L.G.); (N.G.-M.); (J.T.)
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Lehrer S, Rheinstein P. rs140926439 variant in the Fibronectin FN1 gene protects against Alzheimer's disease in APOEε4 carriers in the UK Biobank cohort. RESEARCH SQUARE 2024:rs.3.rs-4287946. [PMID: 38699298 PMCID: PMC11065070 DOI: 10.21203/rs.3.rs-4287946/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2024]
Abstract
Background A protective genetic variant in the fibronectin FN1 gene reduces the odds of developing AD by up to 70%. This variant, rs140926439, seems to prevent the buildup of excess fibronectin at the blood brain barrier. Increased fibronectin levels are typically observed in people with Alzheimer's Disease (AD), but the protective variant appears to counteract its effects. Methods In the current study, we analyzed the relationship of FN1 SNP rs140926439, APOEε4, and AD in the UK Biobank cohort. Results When rs140926439 was absent, 0.10% of APOEε2/3 carriers had AD while 0.40% of APOEε4 carriers or homozygotes had AD. This difference was significant (p < 0.001, 2 tail Fisher exact test). When rs140926439 was present, 0.10% of APOEε2/3 carriers had AD while 0.10% of APOEε4 carriers or homozygotes had AD. This difference was insignificant (p = 1). To examine the overall relationship of rs140926439 and APOE isoform to AD, we used the univariate general linear model, AD (present or absent) dependent variable, rs140926439 (present or absent) and APOE isoform (APOEε2/3 or APOEε4 carrier or homozygote) as fixed factors. The effect of rs140926439 was significant (p = 0.030). The effect of APOE isoform was significant (p = 0.034). There was also a significant interaction between rs140926439 and APOE isoform (p = 0.030). Conclusion Fibronectin is an adhesive molecule that is essential to wound healing, especially to the production of extracellular matrix and reepithelialization. Some cases of AD may be due to the initiation of the brain wound healing process, often in the absence of any actual wound. NSAIDS may reduce risk of AD because they potently inhibit wound healing. FN1 appears to be a key player in AD, and its protective variant could offer insights into potential therapeutic targets. However, further research is needed to fully understand the intricate mechanisms underlying AD and to develop effective treatments.
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Zhang Y, Lindström S, Kraft P, Liu Y. Genetic Risk, Health-Associated Lifestyle, and Risk of Early-onset Total Cancer and Breast Cancer. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.04.24305361. [PMID: 38633776 PMCID: PMC11023660 DOI: 10.1101/2024.04.04.24305361] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Importance Early-onset cancer (diagnosed under 50 years of age) is associated with aggressive disease characteristics and its rising incidence is a global concern. The association between healthy lifestyle and early-onset cancer and whether it varies by common genetic variants is unknown. Objective To examine the associations between genetic risk, lifestyle, and risk of early-onset cancers. Design Setting and Participants We analyzed a prospective cohort of 66,308 white British participants who were under age 50 and free of cancer at baseline in the UK Biobank. Exposures Sex-specific composite total cancer polygenic risk scores (PRSs), a breast cancer-specific PRS, and sex-specific health-associated lifestyle scores (HLSs, which summarize smoking status, body mass index [males only], physical activity, alcohol consumption, and diet). Main Outcomes and Measures Hazard ratios (HRs) and 95% confidence intervals (CIs) for early-onset total and breast cancer. Results A total of 1,247 incident invasive early-onset cancer cases (female: 820, male: 427, breast: 386) were documented. In multivariable-adjusted analyses with 2-year latency, higher genetic risk (highest vs. lowest tertile of PRS) was associated with significantly increased risks of early-onset total cancer in females (HR, 95% CI: 1.85, 1.50-2.29) and males (1.94, 1.45-2.59) as well as early-onset breast cancer in females (3.06, 2.20-4.25). An unfavorable lifestyle (highest vs. lowest category of HLS) was associated with higher risk of total cancer and breast cancer in females across genetic risk categories; the association with total cancer was stronger in the highest genetic risk category than the lowest: HRs in females and men were 1.85 (1.02, 3.36), 3.27 (0.78, 13.72) in the highest genetic risk category and 1.15 (0.44, 2.98), 1.16 (0.39, 3.40) in the lowest. Conclusions and Relevance Both genetic and lifestyle factors were independently associated with early-onset total and breast cancer risk. Compared to those with low genetic risk, individuals with a high genetic risk may benefit more from adopting a healthy lifestyle in preventing early-onset cancer.
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Affiliation(s)
- Yin Zhang
- Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Peter Kraft
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Yuxi Liu
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
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16
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Lehrer S, Rheinstein PH. Long-lasting cigarette smoking alterations in immune function occur in cannabis smokers, possibly rendering them vulnerable to smoking-related tumors in later life. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.04.01.24305156. [PMID: 38633792 PMCID: PMC11023640 DOI: 10.1101/2024.04.01.24305156] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/19/2024]
Abstract
Background Active cigarette smoking leads to increased CXCL5 production. CXCL5 mediates the immune response by attracting immune cells to areas of inflammation. Elevated CXCL5 levels are associated with various inflammatory diseases and tumorigenesis. In addition, smoking is linked to an increase in the level of the cytokine CEACAM6 in the bloodstream of smokers. CEACAM6 is increased in pancreatic adenocarcinoma, breast cancer, non small cell lung cancer, gastric cancer, colon cancer and other cancers and promotes tumor progression, invasion, and metastasis. Although cytokine secretion in the innate immune response returns to nonsmoker levels after quitting smoking, the effects on the adaptive response appear to persist for years or decades due to epigenetic memory. As a result, epigenetic changes induced by smoking may contribute to long-lasting alterations in immune function, including elevated CXCL5 and CEACAM6. The effects of cannabis smoking might be similar. Methods In the current study we used UK Biobank (UKB) data to assess the relationship of CXCL5, CEACAM6, and pulmonary function to cigarette and cannabis smoking. Our UK Biobank application was approved as UKB project 57245 (S.L., P.H.R.). Our analysis included all subjects with smoking and/or marijuana use data in the UK Biobank database. Circulating levels of CXCL5 and CEACAM6 were from UKB Olink data. Individual CXCL5 and CEACAM6 levels are NPX, Normalized Protein expression, Olink arbitrary unit in Log2 scale (Olink Proteomics AB, Uppsala, Sweden; http://www.olink.com). Results Current smokers and past smokers had elevated circulating levels of CXCL5 and CECAM6. In multivariate analysis, current, past, or no smoking history was significantly related to CXCL5 level and CECAM6 levels, independent of the effects of age, sex. Frequency of cannabis use had a similar effect. In multivariate analysis, frequency of cannabis use was significantly related to CXCL5 level and CECAM6 levels, independent of the effects of age, sex, and years between last cannabis use and enrollment in study. Conclusion we can confirm a previous report of epigenetic changes induced by cigarette smoking that may contribute to long-lasting alterations in immune function related to CXCL5 and CEACAM6. In addition, we have found that these same long-lasting smoking alterations in immune function related to CXCL5 and CEACAM6 occur in cannabis smokers, possibly rendering them vulnerable to smoking-related tumors in later life.
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Affiliation(s)
- Steven Lehrer
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai New York
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17
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Lehrer S, Morello T, Karrasch C, Rheinstein PH, Danias J. Effect of Glucosamine on Intraocular Pressure and Risk of Developing Glaucoma. J Glaucoma 2024; 33:240-245. [PMID: 38031296 PMCID: PMC10954404 DOI: 10.1097/ijg.0000000000002340] [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: 05/05/2023] [Accepted: 11/15/2023] [Indexed: 12/01/2023]
Abstract
PRCIS Glucosamine supplementation is common but can be associated with increased intraocular pressure (IOP) and could contribute to the pathogenesis of glaucoma. It may be prudent for ophthalmologists to elicit any history of glucosamine use from their patients and advise them accordingly. Further studies on the role of glucosamine in glaucoma are warranted. BACKGROUND The most frequently recommended slow-acting medication for osteoarthritis symptoms is glucosamine, although its effectiveness is questionable. Widely used glucosamine sulfate supplements may increase IOP. METHODS In the current study, we analyzed online databases such as UK Biobank, MedWatch, and FinnGen to evaluate the relationship between glucosamine and IOP and glaucoma. We included budesonide and fluticasone in the analysis for comparison since these drugs are associated with increased IOP. RESULTS In UK Biobank subjects, glucosamine use was associated with increased corneal compensated IOP ( P =0.002, 2-tailed t test). This was also true in subjects without glaucoma ( P =0.002, 2-tailed t test). However, no significant association between glucosamine and IOP was detected in subjects with a diagnosis of glaucoma. In MedWatch, 0.21% of subjects taking glucosamine reported glaucoma, 0.29% of subjects using budesonide reported glaucoma, and 0.22% of subjects using fluticasone reported glaucoma. In contrast, 0.08% of subjects using any other drug reported glaucoma. This variability is significant ( P <0.001, 2-tailed Fisher exact test). Data from FinnGen on the risk of primary open angle glaucoma or glaucoma in subjects using glucosamine before the diagnosis of the disease revealed a significantly increased risk for both primary open angle glaucoma (hazard ratio: 2.35) and glaucoma (hazard ratio: 1.95). CONCLUSION Glucosamine supplementation is common but can be associated with increased IOP and could contribute to the pathogenesis of glaucoma. It may be prudent for ophthalmologists to elicit any history of glucosamine use from their patients and advise them accordingly. Further studies on the role of glucosamine in glaucoma are warranted.
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Affiliation(s)
- Steven Lehrer
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai
| | | | | | | | - John Danias
- Department of Ophthalmology, SUNY Downstate HSU, New York, NY
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Zhu P, Zhang Y, Chen Q, Qiu W, Chen M, Xue L, Lin M, Yang H. The interaction of diet, alcohol, genetic predisposition, and the risk of breast cancer: a cohort study from the UK Biobank. Eur J Nutr 2024; 63:343-356. [PMID: 37914956 PMCID: PMC10899287 DOI: 10.1007/s00394-023-03269-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2023] [Accepted: 10/06/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND Dietary factors have consistently been associated with breast cancer risk. However, there is limited evidence regarding their associations in women with different genetic susceptibility to breast cancer, and their interaction with alcohol consumption is also not well understood. METHODS We analyzed data from 261,853 female participants in the UK Biobank. Multivariable adjusted Cox proportional hazards models were used to estimate hazard ratios (HR) and 95% confidence intervals (CI) for associations between dietary factors and breast cancer risk. Additionally, we assessed the interaction of dietary factors with alcohol consumption and polygenic risk score (PRS) for breast cancer. RESULTS A moderately higher risk of breast cancer was associated with the consumption of processed meat (HR = 1.10, 95% CI 1.03, 1.18, p-trend = 0.016). Higher intake of raw vegetables and fresh fruits, and adherence to a healthy dietary pattern were inversely associated with breast cancer risk [HR (95% CI):0.93 (0.88-0.99), 0.87 (0.81, 0.93) and 0.93 (0.86-1.00), p for trend: 0.025, < 0.001, and 0.041, respectively]. Furthermore, a borderline significant interaction was found between alcohol consumption and the intake of processed meat with regard to breast cancer risk (P for interaction = 0.065). No multiplicative interaction was observed between dietary factors and PRS. CONCLUSION Processed meat was positively associated with breast cancer risk, and vegetables, fruits, and healthy dietary patterns were negatively associated with breast cancer risk. We found no strong interaction of dietary factors with alcohol consumption and genetic predisposition for risk of breast cancer.
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Affiliation(s)
- Pingxiu Zhu
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xuefu North Road 1, University Town, Fuzhou, 350122, China
| | - Yanyu Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xuefu North Road 1, University Town, Fuzhou, 350122, China
| | - Qianni Chen
- Department of Ultrasonography, Fuqing City Hospital Affiliated to Fujian Medical University, Fuqing, China
| | - Wenji Qiu
- School of Health Management, Fujian Medical University, Fuzhou, 350122, China
| | - Minhui Chen
- Department of Ultrasonography, Fuqing City Hospital Affiliated to Fujian Medical University, Fuqing, China
| | - Lihua Xue
- Department of Ultrasonography, Fuqing City Hospital Affiliated to Fujian Medical University, Fuqing, China
| | - Moufeng Lin
- No. 5 Hospital of Fuqing City, Fuzhou, 350319, China
| | - Haomin Yang
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Xuefu North Road 1, University Town, Fuzhou, 350122, China.
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Nobels Väg 12A, 171 77, Stockholm, Sweden.
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Malcomson FC, Parra-Soto S, Lu L, Ho F, Celis-Morales C, Sharp L, Mathers JC. Socio-demographic variation in adherence to the World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations within the UK Biobank prospective cohort study. J Public Health (Oxf) 2024; 46:61-71. [PMID: 37986550 PMCID: PMC10901269 DOI: 10.1093/pubmed/fdad218] [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: 11/01/2022] [Revised: 08/22/2023] [Accepted: 10/15/2023] [Indexed: 11/22/2023] Open
Abstract
BACKGROUND The 2018 (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations are evidence-based lifestyle recommendations which aim to reduce the risk of cancer worldwide. Sociodemographic factors modulate lifestyle behaviours, and both cancer incidence and survival are socio-economically patterned. We investigated adherence to these recommendations and examined patterns of adherence across sociodemographic subgroups in the UK Biobank cohort. METHODS We included 158 415 UK Biobank participants (mean age 56 years, 53% female). Total adherence scores were derived from dietary, physical activity and anthropometric data using the 2018 WCRF/AICR standardized scoring system. One-Way analysis of variance (ANOVA) was used to test for differences in total scores and in values for individual score components according to sociodemographic factors and Pearson's Χ2 test to investigate associations between sociodemographic factors according to tertiles of adherence score. RESULTS Mean total adherence score was 3.85 points (SD 1.05, range 0-7 points). Higher total scores were observed in females, and older (>57 years), Chinese or South Asian, and more educated participants. We found significant variations in adherence to individual recommendations by sociodemographic factors including education, Townsend deprivation index and ethnicity. CONCLUSIONS Identifying and understanding lifestyle and dietary patterns according to sociodemographic factors could help to guide public health strategies for the prevention of cancers and other non-communicable diseases.
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Affiliation(s)
- Fiona C Malcomson
- Faculty of Medical Sciences, Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
- Faculty of Medical Sciences, Centre for Cancer, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Solange Parra-Soto
- College of Medical, Veterinary and Life Sciences, School of Health and Wellbeing, University of Glasgow, Glasgow, G12 8TA, UK
- College of Medical, Veterinary and Life Sciences, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
- Department of Nutrition and Public Health, Universidad del Bío-Bío, Chillan, Chile
| | - Liya Lu
- Faculty of Medical Sciences, Centre for Cancer, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - Frederick Ho
- College of Medical, Veterinary and Life Sciences, School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, G12 8TA, UK
| | - Carlos Celis-Morales
- College of Medical, Veterinary and Life Sciences, School of Health and Wellbeing, University of Glasgow, Glasgow, G12 8TA, UK
- Human Performance Lab, Education, Physical Activity and Health Research Unit, University Católica del Maule, Talca, Chile
| | - Linda Sharp
- Faculty of Medical Sciences, Centre for Cancer, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
| | - John C Mathers
- Faculty of Medical Sciences, Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, NE2 4HH, UK
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20
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Wen S, Zhu J, Han X, Li Y, Liu H, Yang H, Hou C, Xu S, Wang J, Hu Y, Qu Y, Liu D, Aspelund T, Fang F, Valdimarsdóttir UA, Song H. Childhood maltreatment and risk of endocrine diseases: an exploration of mediating pathways using sequential mediation analysis. BMC Med 2024; 22:59. [PMID: 38331807 PMCID: PMC10854183 DOI: 10.1186/s12916-024-03271-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Adverse childhood experiences (ACEs), including childhood maltreatment, have been linked with increased risk of diabetes and obesity during adulthood. A comprehensive assessment on the associations between childhood maltreatment and all major endocrine diseases, as well as the relative importance of different proposed mechanistic pathways on these associations, is currently lacking. METHODS Based on the UK Biobank, we constructed a cohort including 151,659 participants with self-reported data on childhood maltreatment who were 30 years of age or older on/after January 1, 1985. All participants were followed from the index date (i.e., January 1, 1985, or their 30th birthday, whichever came later) until the first diagnosis of any or specific (12 individual diagnoses and 9 subtypes) endocrine diseases, death, or the end of follow-up (December 31, 2019), whichever occurred first. We used Cox models to examine the association of childhood maltreatment, treated as continuous (i.e., the cumulative number of experienced childhood maltreatment), ordinal (i.e., 0, 1 and ≥ 2), or binary (< 2 and ≥ 2) variable, with any and specific endocrine diseases, adjusted for multiple covariates. We further examined the risk of having multiple endocrine diseases using Linear or Logistic Regression models. Then, sequential mediation analyses were performed to assess the contribution of four possible mechanisms (i.e., suboptimal socioeconomic status (SES), psychological adversities, unfavorable lifestyle, and biological alterations) on the observed associations. RESULTS During an average follow-up of 30.8 years, 20,885 participants received a diagnosis of endocrine diseases. We observed an association between the cumulative number of experienced childhood maltreatment and increased risk of being diagnosed with any endocrine disease (adjusted hazard ratio (HR) = 1.10, 95% confidence interval 1.09-1.12). The HR was 1.26 (1.22-1.30) when comparing individuals ≥ 2 with those with < 2 experienced childhood maltreatment. We further noted the most pronounced associations for type 2 diabetes (1.40 (1.33-1.48)) and hypothalamic-pituitary-adrenal (HPA)-axis-related endocrine diseases (1.38 (1.17-1.62)), and the association was stronger for having multiple endocrine diseases, compared to having one (odds ratio (95% CI) = 1.24 (1.19-1.30), 1.35 (1.27-1.44), and 1.52 (1.52-1.53) for 1, 2, and ≥ 3, respectively). Sequential mediation analyses showed that the association between childhood maltreatment and endocrine diseases was consistently and most distinctly mediated by psychological adversities (15.38 ~ 44.97%), while unfavorable lifestyle (10.86 ~ 25.32%) was additionally noted for type 2 diabetes whereas suboptimal SES (14.42 ~ 39.33%) for HPA-axis-related endocrine diseases. CONCLUSIONS Our study demonstrates that adverse psychological sequel of childhood maltreatment constitutes the main pathway to multiple endocrine diseases, particularly type 2 diabetes and HPA-axis-related endocrine diseases. Therefore, increased access to evidence-based mental health services may also be pivotal in reducing the risk of endocrine diseases among childhood maltreatment-exposed individuals.
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Affiliation(s)
- Shu Wen
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Jianwei Zhu
- Department of Orthopedic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Xin Han
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuchen Li
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Haowen Liu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Huazhen Yang
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Can Hou
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Shishi Xu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Division of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Junren Wang
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yao Hu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuanyuan Qu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Di Liu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Sichuan University - Pittsburgh Institute, Sichuan University, Chengdu, China
| | - Thor Aspelund
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Fang Fang
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Unnur A Valdimarsdóttir
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Huan Song
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China.
- Med-X Center for Informatics, Sichuan University, Chengdu, China.
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.
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Lv X, Cai J, Li X, Wang X, Ma H, Heianza Y, Qi L, Zhou T. Body composition, lifestyle, and depression: a prospective study in the UK biobank. BMC Public Health 2024; 24:393. [PMID: 38321471 PMCID: PMC10848418 DOI: 10.1186/s12889-024-17891-6] [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: 07/12/2023] [Accepted: 01/25/2024] [Indexed: 02/08/2024] Open
Abstract
BACKGROUND Obesity has been related to depression and adhering healthy lifestyle was beneficial to lower the risk of depression; however, little is known about the relationship between body composition and fat distribution with depression risk and the influence of body composition and fat distribution on the association of lifestyle and depression. Therefore, we aimed to investigate whether body composition and fat distribution were associated with the adverse events of depression and the relationship between lifestyle and depression. METHODS We included 330,131 participants without depression at baseline in the UK Biobank (mean age, 56.9 years; 53.83% females). The assessment of depression was sourced from health outcomes across self-report, primary care, hospital inpatient data, and death data. Body composition was determined by bioelectrical impedance. Seven lifestyles (no current smoking, moderate alcohol consumption, regular physical activity, healthy diet, less sedentary behavior, healthy sleep pattern, and appropriate social connection) were used to generate a lifestyle score. RESULTS During a median of 11.7 years of follow-up, 7576 incident depression occurred. All the body composition measures were positively associated with depression risk, with the Hazard ratios (HR) for the uppermost tertile (T3) versus the lowest tertile (T1) ranging from 1.26 (95% CI: 1.15-1.39) for trunk fat-free mass (TFFM) to 1.78 (1.62-1.97) for leg fat percentage (LFP). In addition, we found significant interactions between fat mass-related indices, especially leg fat mass (LFM) (p = 1.65 × 10-9), and lifestyle score on the risk of depression, for which the beneficial associations of a healthy lifestyle with the risk of depression were more evident among participants with low body fat measurement. CONCLUSIONS High levels of body composition measures were associated with an increased depression risk. Adverse body composition measures may weaken the link between a healthy lifestyle and a reduced risk of depression.
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Affiliation(s)
- Xingyu Lv
- Department of Epidemiology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, No.66 Gongchang Road, Guangming District, Shenzhen, People's Republic of China, 518107
| | - Jie Cai
- Department of Epidemiology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, No.66 Gongchang Road, Guangming District, Shenzhen, People's Republic of China, 518107
| | - Xiang Li
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Xuan Wang
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Hao Ma
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Yoriko Heianza
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA
| | - Lu Qi
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Tao Zhou
- Department of Epidemiology, School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, No.66 Gongchang Road, Guangming District, Shenzhen, People's Republic of China, 518107.
- Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, USA.
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Xia D, Han X, Zeng Y, Wang J, Xu K, Zhang T, Jiang Y, Chen X, Song H, Suo C. Disease trajectory of high neuroticism and the relevance to psychiatric disorders: A retro-prospective cohort study. Acta Psychiatr Scand 2024; 149:133-146. [PMID: 38057974 DOI: 10.1111/acps.13645] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/06/2023] [Accepted: 11/23/2023] [Indexed: 12/08/2023]
Abstract
BACKGROUND Neuroticism is a psychological personality trait that has a significant impact on public health and is also a potential predisposing factor for adverse disease outcomes; however, comprehensive studies of the subsequently developed conditions are lacking. The starting point of disease trajectory in terms of genetic variation remains unclear. METHOD Our study included 344,609 adult participants from the UK Biobank cohort who were virtually followed up from January 1, 1997. Neuroticism levels were assessed using 12 items from the Eysenck Personality Questionnaire. We performed a phenome-wide association analysis of neuroticism and subsequent diseases. Binomial tests and logistic regression models were used to test the temporal directionality and association between disease pairs to construct disease trajectories. We also investigated the association between polygenic risk scores (PRSs) for five psychiatric traits and high neuroticism. RESULTS The risk for 59 diseases was significantly associated with high neuroticism. Depression, anxiety, irritable bowel syndrome, migraine, spondylosis, and sleep disorders were the most likely to develop, with hazard ratios of 6.13, 3.66, 2.28, 1.74, 1.74, and 1.71, respectively. The disease trajectory network revealed two major disease clusters: cardiometabolic and chronic inflammatory diseases. Medium/high genetic risk groups stratified by the PRSs of four psychiatric traits were associated with an elevated risk of high neuroticism. We further identified eight complete phenotypic trajectory clusters of medium or high genetic risk for psychotic, anxiety-, depression-, and stress-related disorders. CONCLUSION Neuroticism plays an important role in the development of somatic and mental disorders. The full picture of disease trajectories from the genetic risk of psychiatric traits and neuroticism in early life to a series of diseases later provides evidence for future research to explore the etiological mechanisms and precision management.
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Affiliation(s)
- Ding Xia
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Xin Han
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yu Zeng
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Jingru Wang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
| | - Kelin Xu
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Department of Biostatistics, School of Public Health, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Tiejun Zhang
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
| | - Yanfeng Jiang
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Xingdong Chen
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, School of Life Sciences, Fudan University, Shanghai, China
| | - Huan Song
- Mental Health Center and West China Biomedical Big Data Center, West China Hospital, Sichuan University, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Chen Suo
- Department of Epidemiology, School of Public Health, Fudan University, Shanghai, China
- Ministry of Education Key Laboratory of Public Health Safety, Fudan University, Shanghai, China
- Taizhou Institute of Health Sciences, Fudan University, Taizhou, China
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Gao P, Mei Z, Liu Z, Zhu D, Yuan H, Zhao R, Xu K, Zhang T, Jiang Y, Suo C, Chen X. Association between serum urea concentrations and the risk of colorectal cancer, particularly in individuals with type 2 diabetes: A cohort study. Int J Cancer 2024; 154:297-306. [PMID: 37671773 DOI: 10.1002/ijc.34719] [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: 04/25/2023] [Revised: 08/14/2023] [Accepted: 08/18/2023] [Indexed: 09/07/2023]
Abstract
Dysregulation of the urea cycle (UC) has been detected in colorectal cancer (CRC). However, the impact of the UC's end product, urea, on CRC development remains unclear. We investigated the association between serum urea and CRC risk based on the data of 348 872 participants cancer-free at recruitment from the UK Biobank. Multivariable Cox proportional hazards models were fitted to conduct risk estimates. Stratification analyses based on sex, diet pattern, metabolic factors (including body mass index [BMI], the estimated glomerular filtration rate [eGFR] and type 2 diabetes [T2D]) and genetic profiles (the polygenic risk score [PRS] of CRC) were conducted to find potential modifiers. During an average of 9.0 years of follow-up, we identified 3408 (1.0%) CRC incident cases. Serum urea showed a nonlinear relationship with CRC risk (P-nonlinear: .035). Lower serum urea levels were associated with a higher CRC risk, with a fully-adjusted hazard ratio (HR) of 1.26 (95% confidence interval [CI]: 1.13-1.41) in the first quartile (Q1) of urea, compared to the Q4. This association was largely consistent across subgroups of sex, protein diet, BMI, eGFR and CRC-PRSs (P-interaction >.05); however, it was stronger in the T2D, with an interaction between urea and T2D on both additive (synergy index: 3.32, [95% CI: 1.24-8.88]) and multiplicative scales (P-interaction: .019). Lower serum urea concentrations were associated with an increased risk of CRC, with a more pronounced effect observed in individuals with T2D. Maintaining stable levels of serum urea has important implications for CRC prevention, particularly in individuals with T2D.
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Affiliation(s)
- Peipei Gao
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Zhendong Mei
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China
| | - Zhenqiu Liu
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Dongliang Zhu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Epidemiology and Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Huangbo Yuan
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Renjia Zhao
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Kelin Xu
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China
| | - Tiejun Zhang
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Epidemiology and Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Yanfeng Jiang
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
| | - Chen Suo
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- Department of Epidemiology and Ministry of Education Key Laboratory of Public Health Safety, School of Public Health, Fudan University, Shanghai, China
| | - Xingdong Chen
- State Key Laboratory of Genetic Engineering, Human Phenome Institute, Fudan University, Shanghai, China
- Fudan University Taizhou Institute of Health Sciences, Taizhou, Jiangsu, China
- National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China
- Yiwu Research Institute of Fudan University, Yiwu, Zhejiang, China
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Hong JY, Han JH, Jeong SH, Kwak C, Kim HH, Jeong CW. Polygenic risk score model for renal cell carcinoma in the Korean population and relationship with lifestyle-associated factors. BMC Genomics 2024; 25:46. [PMID: 38200428 PMCID: PMC10777500 DOI: 10.1186/s12864-024-09974-w] [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: 11/01/2023] [Accepted: 01/04/2024] [Indexed: 01/12/2024] Open
Abstract
BACKGROUND The polygenic risk score (PRS) is used to predict the risk of developing common complex diseases or cancers using genetic markers. Although PRS is used in clinical practice to predict breast cancer risk, it is more accurate for Europeans than for non-Europeans because of the sample size of training genome-wide association studies (GWAS). To address this disparity, we constructed a PRS model for predicting the risk of renal cell carcinoma (RCC) in the Korean population. RESULTS Using GWAS analysis, we identified 43 Korean-specific variants and calculated the PRS. Subsequent to plotting receiver operating characteristic (ROC) curves, we selected the 31 best-performing variants to construct an optimal PRS model. The resultant PRS model with 31 variants demonstrated a prediction rate of 77.4%. The pathway analysis indicated that the identified non-coding variants are involved in regulating the expression of genes related to cancer initiation and progression. Notably, favorable lifestyle habits, such as avoiding tobacco and alcohol, mitigated the risk of RCC across PRS strata expressing genetic risk. CONCLUSION A Korean-specific PRS model was established to predict the risk of RCC in the underrepresented Korean population. Our findings suggest that lifestyle-associated factors influencing RCC risk are associated with acquired risk factors indirectly through epigenetic modification, even among individuals in the higher PRS category.
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Affiliation(s)
- Joo Young Hong
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
| | - Jang Hee Han
- Department of Urology, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seung Hwan Jeong
- Department of Urology, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Cheol Kwak
- Department of Urology, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Hyeon Hoe Kim
- Department of Urology, Seoul National University Hospital, Seoul, Republic of Korea
- Department of Urology, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Urology, Myongji Hospital, Gyeonggi-do, Republic of Korea
| | - Chang Wook Jeong
- Department of Urology, Seoul National University Hospital, Seoul, Republic of Korea.
- Department of Urology, Seoul National University College of Medicine, Seoul, Republic of Korea.
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Malcomson FC, Parra-Soto S, Ho FK, Celis-Morales C, Sharp L, Mathers JC. Abbreviated Score to Assess Adherence to the 2018 WCRF/AICR Cancer Prevention Recommendations and Risk of Cancer in the UK Biobank. Cancer Epidemiol Biomarkers Prev 2024; 33:33-42. [PMID: 37909916 PMCID: PMC10774737 DOI: 10.1158/1055-9965.epi-23-0923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2023] [Revised: 10/11/2023] [Accepted: 10/30/2023] [Indexed: 11/03/2023] Open
Abstract
BACKGROUND The World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations are lifestyle-based guidelines which aim to reduce cancer risk. This study investigated, in the UK Biobank, associations between an abbreviated score to assess adherence to these Recommendations and the risk of all cancers combined and of 14 cancers for which there is strong evidence for links with diet, adiposity, and physical activity. METHODS We used data from 288,802 UK Biobank participants (mean age 56.2 years), cancer-free at baseline. An abbreviated version of the 2018 WCRF/AICR Score was calculated to assess adherence to five Recommendations on (i) body weight, (ii) physical activity, (iii) fruits, vegetables, and dietary fiber, (iv) red and processed meat, and (v) alcohol. Multivariable Cox proportional hazards models were used to analyze associations between the abbreviated score (range, 0-5 points) and cancer incidence, adjusting for confounders. RESULTS During a median follow-up of 8.2 years (interquartile range, 7.4-8.9), 23,448 participants were diagnosed with cancer. The abbreviated score was inversely associated with risk of cancer overall [HR: 0.93; 95% confidence interval (CI): 0.92-0.95 per 1-point increment], and breast (HR: 0.90; 95% CI: 0.87-0.94), colorectal (HR: 0.86; 95% CI: 0.83-0.90), lung (HR: 0.89; 95% CI: 0.84-0.94), kidney (HR: 0.83; 95% CI: 0.76-0.90), pancreatic (HR: 0.86; 95% CI: 0.79-0.94), uterine (HR: 0.79; 95% CI: 0.73-0.86), esophageal (HR: 0.82; 95% CI: 0.75-0.90), stomach (HR: 0.89; 95% CI: 0.79-0.99), and liver (HR: 0.80; 95% CI: 0.72-0.90) cancers. CONCLUSIONS Greater adherence to the Cancer Prevention Recommendations, assessed using an abbreviated score, was associated with reduced risk of all cancers combined and of nine site-specific cancers. IMPACT Our findings support compliance to these Recommendations for cancer prevention.
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Affiliation(s)
- Fiona C. Malcomson
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
- Centre for Cancer, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Solange Parra-Soto
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
- School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
- Department of Nutrition and Public Health, Universidad del Bío-Bío, Chillan, Chile
| | - Frederick K. Ho
- School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Carlos Celis-Morales
- School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom
- School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, United Kingdom
- Human Performance Lab, Education, Physical Activity and Health Research Unit, University Católica del Maule, Talca, Chile
| | - Linda Sharp
- Centre for Cancer, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - John C. Mathers
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, United Kingdom
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Zhang S, Liu L, Shi S, He H, Shen Q, Wang H, Qin S, Chang J, Zhong R. Bidirectional Association Between Cardiovascular Disease and Lung Cancer in a Prospective Cohort Study. J Thorac Oncol 2024; 19:80-93. [PMID: 37703998 DOI: 10.1016/j.jtho.2023.09.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 09/01/2023] [Accepted: 09/01/2023] [Indexed: 09/15/2023]
Abstract
INTRODUCTION The study aimed to prospectively investigate the bidirectional association between cardiovascular disease (CVD) and lung cancer, and whether this association differs across genetic risk levels. METHODS This study prospectively followed 455,804 participants from the United Kingdom Biobank cohort who were free of lung cancer at baseline. Cox proportional hazard models were used to estimate the hazard ratio (HR) for incident lung cancer according to CVD status. In parallel, similar approaches were used to assess the risk of incident CVD according to lung cancer status among 478,756 participants free of CVD at baseline. The bidirectional causal relations between these conditions were assessed using Mendelian randomization analysis. Besides, polygenic risk scores were estimated by integrating genome-wide association studies identified risk variants. RESULTS During 4,007,477 person-years of follow-up, 2006 incident lung cancer cases were documented. Compared with participants without CVD, those with CVD had HRs (95% confidence interval [CI]) of 1.49 (1.30-1.71) for NSCLC, 1.80 (1.39-2.34) for lung squamous cell carcinoma (LUSC), and 1.25 (1.01-1.56) for lung adenocarcinoma (LUAD). After stratification by smoking status, significant associations of CVD with lung cancer risk were observed in former smokers (HR = 1.44, 95% CI: 1.20-1.74) and current smokers (HR = 1.38, 95% CI: 1.13-1.69), but not in never-smokers (HR = 0.98, 95% CI: 0.60-1.61). In addition, CVD was associated with lung cancer risk across each genetic risk level (pheterogeneity = 0.336). In the second analysis, 32,974 incident CVD cases were recorded. Compared with those without lung cancer, the HRs (95% CI) for CVD were 2.33 (1.29-4.21) in NSCLC, 3.66 (1.65-8.14) in LUAD, and 1.98 (0.64-6.14) in LUSC. In particular, participants with lung cancer had a high risk of incident CVD at a high genetic risk level (HR = 3.79, 95% CI: 1.57-9.13). No causal relations between these conditions were observed in Mendelian randomization analysis. CONCLUSIONS CVD is associated with an increased risk of NSCLC including LUSC and LUAD. NSCLC, particularly LUAD, is associated with a higher CVD risk. Awareness of this bidirectional association may improve prevention and treatment strategies for both diseases. Future clinical demands will require a greater focus on cardiac oncology.
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Affiliation(s)
- Shanshan Zhang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Lei Liu
- Division of Cardiology, Department of Internal Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Shanshan Shi
- Department of Pathology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, People's Republic of China
| | - Heng He
- Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, People's Republic of China
| | - Qian Shen
- Department of Epidemiology and Biostatistics and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Haoxue Wang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Shifan Qin
- Department of Epidemiology and Biostatistics and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Jiang Chang
- Department of Epidemiology and Biostatistics and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China
| | - Rong Zhong
- Department of Epidemiology and Biostatistics and Ministry of Education Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, People's Republic of China.
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Zhu M, Lv J, Huang Y, Ma H, Li N, Wei X, Ji M, Ma Z, Song C, Wang C, Dai J, Tan F, Guo Y, Walters R, Millwood IY, Hung RJ, Christiani DC, Yu C, Jin G, Chen Z, Wei Q, Amos CI, Hu Z, Li L, Shen H. Ethnic differences of genetic risk and smoking in lung cancer: two prospective cohort studies. Int J Epidemiol 2023; 52:1815-1825. [PMID: 37676847 DOI: 10.1093/ije/dyad118] [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: 01/28/2023] [Accepted: 08/23/2023] [Indexed: 09/09/2023] Open
Abstract
BACKGROUND The role of genetic background underlying the disparity of relative risk of smoking and lung cancer between European populations and East Asians remains unclear. METHODS To assess the role of ethnic differences in genetic factors associated with smoking-related risk of lung cancer, we first constructed ethnic-specific polygenic risk scores (PRSs) to quantify individual genetic risk of lung cancer in Chinese and European populations. Then, we compared genetic risk and smoking as well as their interactions on lung cancer between two cohorts, including the China Kadoorie Biobank (CKB) and the UK Biobank (UKB). We also evaluated the absolute risk reduction over a 5-year period. RESULTS Differences in compositions and association effects were observed between the Chinese-specific PRSs and European-specific PRSs, especially for smoking-related loci. The PRSs were consistently associated with lung cancer risk, but stronger associations were observed in smokers of the UKB [hazard ratio (HR) 1.26 vs 1.15, P = 0.028]. A significant interaction between genetic risk and smoking on lung cancer was observed in the UKB (RERI, 11.39 (95% CI, 7.01-17.94)], but not in the CKB. Obvious higher absolute risk was observed in nonsmokers of the CKB, and a greater absolute risk reduction was found in the UKB (10.95 vs 7.12 per 1000 person-years, P <0.001) by comparing heavy smokers with nonsmokers, especially for those at high genetic risk. CONCLUSIONS Ethnic differences in genetic factors and the high incidence of lung cancer in nonsmokers of East Asian ethnicity were involved in the disparity of smoking-related risk of lung cancer.
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Affiliation(s)
- Meng Zhu
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Yanqian Huang
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Hongxia Ma
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
| | - Ni Li
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
- Chinese Academy of Medical Sciences Key Laboratory for National Cancer Big Data Analysis and Implement, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoxia Wei
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Mengmeng Ji
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Zhimin Ma
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Ci Song
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Cheng Wang
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Juncheng Dai
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Fengwei Tan
- Office of Cancer Screening, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yu Guo
- Fuwai Hospital, Chinese Academy of Medical Sciences, Beijing, China
| | - Robin Walters
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Iona Y Millwood
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Rayjean J Hung
- Lunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, Canada
| | - David C Christiani
- Department of Environmental Health, Harvard School of Public Health, Department of Medicine, Harvard Medical School/Massachusetts General Hospital, Boston, USA
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
| | - Guangfu Jin
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
| | - Zhengming Chen
- Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Qingyi Wei
- Duke Cancer Institute, Duke University Medical Center, Durham, USA
- Department of Population Health Sciences, Duke University School of Medicine, Durham, USA
| | - Christopher I Amos
- Baylor College of Medicine, Institute for Clinical and Translational Research, Houston, USA
| | - Zhibin Hu
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- State Key Laboratory of Reproductive Medicine, Center for Global Health, Nanjing Medical University, Nanjing, China
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China
| | - Hongbing Shen
- Department of Epidemiology, International Joint Research Center on Environment and Human Health, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, China
- Jiangsu Key Lab of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Medicine, Nanjing Medical University, Nanjing, China
- Research Units of Cohort Study on Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, China
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Zeng L, Wu Z, Yang J, Zhou Y, Chen R. Association of genetic risk and lifestyle with pancreatic cancer and their age dependency: a large prospective cohort study in the UK Biobank. BMC Med 2023; 21:489. [PMID: 38066552 PMCID: PMC10709905 DOI: 10.1186/s12916-023-03202-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 11/29/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND Pancreatic cancer (PC) is influenced by both genetic and lifestyle factors. However, further research is still needed to comprehensively clarify the relationships among lifestyle, genetic factors, their combined effect on PC, and how these associations might be age-dependent. METHODS We included 340,631 participants from the UK Biobank. Three polygenic risk score (PRS) models for PC were applied, which were derived from the previous study and were categorized as low, intermediate, and high. Two healthy lifestyle scores (HLSs) were constructed using 9 lifestyle factors based on the World Cancer Research Fund/American Institute of Cancer Research (WCRF/AICR) lifestyle score and the American Cancer Society (ACS) guidelines and were categorized as unfavorable, intermediate, and favorable. Data were analyzed using Cox proportional hazards models. RESULTS There were 1,129 cases of incident PC during a median follow-up of 13.05 years. Higher PRS was significantly associated with an increased risk of PC (hazard ratio [HR], 1.58; 95% confidence intervals [CI], 1.47-1.71). Adhering to a favorable lifestyle was associated with a lower risk (HR, 0.48; 95% CI, 0.41-0.56). Participants with an unfavorable lifestyle and a high PRS had the highest risk of PC (HR, 2.84; 95% CI, 2.22-3.62). Additionally, when stratified by age, a favorable lifestyle was most pronounced associated with a lower risk of PC among participants aged ≤ 60 years (HR, 0.35; 95% CI, 0.23-0.54). However, the absolute risk reduction was more pronounced among those aged > 70 years (ARR, 0.19%, 95% CI, 0.13%-0.26%). A high PRS was more strongly associated with PC among participants aged ≤ 60 years (HR, 1.89; 95% CI, 1.30-2.73). Furthermore, we observed a significant multiplicative interaction and several significant additive interactions. CONCLUSIONS A healthy lifestyle was associated with a lower risk of PC, regardless of the participants' age, sex, or genetic risk. Importantly, our findings indicated the age-dependent association of lifestyle and genetic factors with PC, emphasizing the importance of early adoption for effective prevention and potentially providing invaluable guidance for setting the optimal age to start preventive measures.
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Affiliation(s)
- Liangtang Zeng
- School of Medicine, South China University of Technology, Guangzhou, Guangdong Province, China
- Department of Pancreatic Surgery, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Zhuo Wu
- School of Medicine, South China University of Technology, Guangzhou, Guangdong Province, China
- Department of Pancreatic Surgery, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Jiabin Yang
- School of Medicine, South China University of Technology, Guangzhou, Guangdong Province, China
- Department of Pancreatic Surgery, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China
| | - Yu Zhou
- Department of Pancreatic Surgery, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China.
| | - Rufu Chen
- School of Medicine, South China University of Technology, Guangzhou, Guangdong Province, China.
- Department of Pancreatic Surgery, Department of General Surgery, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong Province, China.
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Lehrer S, Rheinstein PH. Association of Kallikrein Related Peptidase 3 (KLK3) gene with dermatophytosis in the UK biobank cohort. Mycoses 2023; 66:1050-1055. [PMID: 37592324 PMCID: PMC10840734 DOI: 10.1111/myc.13649] [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: 04/26/2023] [Revised: 07/27/2023] [Accepted: 08/04/2023] [Indexed: 08/19/2023]
Abstract
BACKGROUND In a previous genome wide association study (GWAS) of UK Biobank (UKB) data, we identified one susceptibility locus, tubulointerstitial nephritis antigen (TINAG), with genome wide significance for dermatophytosis. We used genotype calls from file UKB22418. These data are derived directly from Affymetrix DNA microarrays but are missing many genotype calls. Using computationally efficient approaches, UKB has entered imputed genotypes into a second dataset, UKB22828, increasing the number of testable variants by over 100-fold to 96 million variants. METHODS In the current study, we used UKB imputed genotypes in UKB22828 to identify dermatophytosis susceptibility loci. To identify cases of dermatophytosis, we used ICD10 code B35, which covers tinea barbae, tinea capitis, tinea unguium, tinea manuum, tinea pedis, tinea corporis, tinea imbricata, tinea cruris, other dermatophytoses and dermatophytosis, unspecified. We used PLINK, a whole-genome association analysis toolset, to analyse the UKB22828 chromosome files. RESULTS GWAS summary (Manhattan) plot of the meta-analysis association statistics highlighted two susceptibility loci, TINAG and Kallikrein Related Peptidase 3 (KLK3), with genome wide significance for dermatophytosis. KLK3, also known as prostate specific antigen (PSA), belongs to a subclass of serine proteases with a variety of physiological functions. CONCLUSION KLK3 may be a dermatophytosis susceptibility gene. KLK3 could affect risk of dermatophytosis, since kallikreins are necessary for normal homeostasis of the skin.
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Affiliation(s)
- Steven Lehrer
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York City, New York, USA
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30
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Liu F, Peng Y, Wang P, Qiao Y, Si C, Wang X, Zhang M, Chen L, Song F. Associations of physical frailty with incidence and mortality of overall and site-specific cancers: A prospective cohort study from UK biobank. Prev Med 2023; 177:107742. [PMID: 37866694 DOI: 10.1016/j.ypmed.2023.107742] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2023] [Revised: 10/18/2023] [Accepted: 10/19/2023] [Indexed: 10/24/2023]
Abstract
OBJECTIVE Evidence regarding the role of physical frailty in cancer-related outcomes is limited. We aimed to examine the association of frailty with cancer incidence and mortality risk. METHODS This prospective study included 348,144 participants free of cancer at baseline from the UK Biobank. Frailty phenotypes (non-frail, pre-frail, and frail) were constructed from 5 components: weight loss, exhaustion, low physical activity, slow gait speed, and low grip strength. The outcome was incidence and mortality of overall and cite-specific cancers. Cox proportional hazard regression was used to estimate the association of frailty phenotypes with cancer incidence and mortality risk. RESULTS A total of 43,304 incident cancer cases and 10,152 cancer deaths were documented during a median of 12.0 years of follow-up. For overall cancer, compared with non-frailty, the incidence risk increased by 4% for pre-frailty and 11% for frailty, and the mortality risk increased by 11% for pre-frailty and 39% for frailty. Frailty phenotypes were also dose-dependently associated with a higher risk of incidence and mortality of some site-specific cancers (including liver and lung), with significant sex differences. We observed a synergetic association of frailty phenotypes and smoking with overall cancer incidence and mortality risk. CONCLUSIONS Frailty phenotypes contributed significantly to a higher risk of overall and some site-specific cancers incidence and mortality in a stepwise manner or within individual categories. Future studies are warranted to emphasize the identification, management and prevention of frailty in the whole population and complements of lifestyle-targeted interventions such as quitting smoking.
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Affiliation(s)
- Fubin Liu
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University, Cancer Institute and Hospital, Tianjin 300060, China
| | - Yu Peng
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University, Cancer Institute and Hospital, Tianjin 300060, China
| | - Peng Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University, Cancer Institute and Hospital, Tianjin 300060, China
| | - Yating Qiao
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University, Cancer Institute and Hospital, Tianjin 300060, China
| | - Changyu Si
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University, Cancer Institute and Hospital, Tianjin 300060, China
| | - Xixuan Wang
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University, Cancer Institute and Hospital, Tianjin 300060, China
| | - Ming Zhang
- Comprehensive Management Department of Occupational Health, Shenzhen Prevention and Treatment Center for Occupational Diseases, Shenzhen 518020, China
| | - Liangkai Chen
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, Ministry of Education Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
| | - Fangfang Song
- Department of Epidemiology and Biostatistics, Key Laboratory of Molecular Cancer Epidemiology, Key Laboratory of Prevention and Control of Major Diseases in the Population, Ministry of Education, National Clinical Research Center for Cancer, Tianjin Medical University, Cancer Institute and Hospital, Tianjin 300060, China.
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Ke TM, Lophatananon A, Muir KR. An Integrative Pancreatic Cancer Risk Prediction Model in the UK Biobank. Biomedicines 2023; 11:3206. [PMID: 38137427 PMCID: PMC10740416 DOI: 10.3390/biomedicines11123206] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 11/20/2023] [Accepted: 11/26/2023] [Indexed: 12/24/2023] Open
Abstract
Pancreatic cancer (PaCa) is a lethal cancer with an increasing incidence, highlighting the need for early prevention strategies. There is a lack of a comprehensive PaCa predictive model derived from large prospective cohorts. Therefore, we have developed an integrated PaCa risk prediction model for PaCa using data from the UK Biobank, incorporating lifestyle-related, genetic-related, and medical history-related variables for application in healthcare settings. We used a machine learning-based random forest approach and a traditional multivariable logistic regression method to develop a PaCa predictive model for different purposes. Additionally, we employed dynamic nomograms to visualize the probability of PaCa risk in the prediction model. The top five influential features in the random forest model were age, PRS, pancreatitis, DM, and smoking. The significant risk variables in the logistic regression model included male gender (OR = 1.17), age (OR = 1.10), non-O blood type (OR = 1.29), higher polygenic score (PRS) (Q5 vs. Q1, OR = 2.03), smoking (OR = 1.82), alcohol consumption (OR = 1.27), pancreatitis (OR = 3.99), diabetes (DM) (OR = 2.57), and gallbladder-related disease (OR = 2.07). The area under the receiver operating curve (AUC) of the logistic regression model is 0.78. Internal validation and calibration performed well in both models. Our integrative PaCa risk prediction model with the PRS effectively stratifies individuals at future risk of PaCa, aiding targeted prevention efforts and supporting community-based cancer prevention initiatives.
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Affiliation(s)
| | | | - Kenneth R. Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester M13 9PT, UK; (T.-M.K.); (A.L.)
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Peila R, Xue X, Shadyab AH, Wactawski-Wende J, Espeland MA, Snetselaar LG, Saquib N, Ikramuddin F, Manson JE, Wallace RB, Rohan TE. Association Between the Healthy Lifestyle Index and Risk of Multimorbidity in the Women's Health Initiative. J Gerontol A Biol Sci Med Sci 2023; 78:2282-2293. [PMID: 37463321 DOI: 10.1093/gerona/glad170] [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: 03/03/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Multimorbidity, defined as the presence of 2 or more chronic health conditions, is increasingly common among older adults. The combination of lifestyle characteristics such as diet quality, smoking status, alcohol intake, physical activity (PA), sleep duration, and body fat as assessed by body mass index (BMI) or waist circumference, and risk of multimorbidity are not well understood. OBJECTIVES We investigated the association between the healthy lifestyle index (HLI), generated by combining indicators of diet quality, smoking, alcohol, PA, sleep amount, and BMI, and risk of multimorbidity, a composite outcome that included cardiovascular disease (CVD), diabetes, cancer, and fracture. METHODS We studied 62 037 postmenopausal women aged 50-79 years at enrollment in the Women's Health Initiative, with no reported history of CVD, diabetes, cancer, or fracture at baseline. Lifestyle characteristics measured at baseline were categorized and a score (0-4) was assigned to each category. The combined HLI (0-24) was grouped into quintiles, with higher quintiles indicating a healthier lifestyle. Multivariable adjusted estimates of hazard ratios (HRs) and 95% confidence intervals (95% CIs) for the risk of developing multimorbidity were obtained using Cox proportional hazard models. RESULTS Over an average follow-up period of 16.3 years, 5 656 women developed multimorbidity. There was an inverse association between the HLI levels and risk of multimorbidity (compared to the HLI_1st quintile: HR_2nd quintile = 0.81 95% CI 0.74-0.83, HR_3rd quintile = 0.77 95% CI 0.71-0.83, HR_4th quintile = 0.70 95% CI 0.64-0.76, and HR_5th quintile = 0.60 95% CI 0.54-0.66; p trend < .001). Similar associations were observed after stratification by age or BMI categories. CONCLUSIONS Among postmenopausal women, higher levels of the HLI were associated with a reduced risk of developing multimorbidity.
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Affiliation(s)
- Rita Peila
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Xiaonan Xue
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, California, USA
| | - Jean Wactawski-Wende
- Department of Epidemiology and Environmental Health, School of Public Health and Health Professions, University at Buffalo, Buffalo, New York, USA
| | - Mark A Espeland
- Department of Gerontology and Geriatric Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Linda G Snetselaar
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Nazmus Saquib
- College of Medicine at Sulaiman, Al Rajhi University, Al Bukayriyah, Saudi Arabia
| | - Farha Ikramuddin
- Department of Rehabilitation Medicine, University of Minnesota, Medical School, Minneapolis, Minnesota, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Robert B Wallace
- Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa, USA
| | - Thomas E Rohan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
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Malcomson FC, Parra-Soto S, Ho FK, Lu L, Celis-Morales C, Sharp L, Mathers JC. Adherence to the 2018 World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations and risk of 14 lifestyle-related cancers in the UK Biobank prospective cohort study. BMC Med 2023; 21:407. [PMID: 38012714 PMCID: PMC10683228 DOI: 10.1186/s12916-023-03107-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 10/05/2023] [Indexed: 11/29/2023] Open
Abstract
BACKGROUND The World Cancer Research Fund (WCRF)/American Institute for Cancer Research (AICR) Cancer Prevention Recommendations are lifestyle-based recommendations which aim to reduce cancer risk. This study investigated associations between adherence, assessed using a standardised scoring system, and the risk of all cancers combined and of 14 cancers for which there is strong evidence for links with aspects of lifestyle in the UK. METHODS We used data from 94,778 participants (53% female, mean age 56 years) from the UK Biobank. Total adherence scores (range 0-7 points) were derived from dietary, physical activity, and anthropometric data. Associations between total score and cancer risk (all cancers combined; and prostate, breast, colorectal, lung, uterine, liver, pancreatic, stomach, oesophageal, head and neck, ovarian, kidney, bladder, and gallbladder cancer) were investigated using Cox proportional hazard models, adjusting for age, sex, deprivation index, ethnicity, and smoking status. RESULTS Mean total score was 3.8 (SD 1.0) points. During a median follow-up of 8 years, 7296 individuals developed cancer. Total score was inversely associated with risk of all cancers combined (HR: 0.93; 95%CI: 0.90-0.95 per 1-point increment), as well as breast (HR: 0.90; 95%CI: 0.86-0.95), colorectal (HR: 0.90; 95%CI: 0.84-0.97), kidney (HR: 0.82; 95%CI: 0.72-0.94), oesophageal (HR: 0.84; 95%CI: 0.71-0.98), ovarian (HR: 0.76; 95%CI: 0.65-0.90), liver (HR: 0.78; 95%CI: 0.63-0.97), and gallbladder (HR: 0.70; 95%CI: 0.53-0.93) cancers. CONCLUSIONS Greater adherence to lifestyle-based recommendations was associated with reduced risk of all cancers combined and of breast, colorectal, kidney, oesophageal, ovarian, liver, and gallbladder cancers. Our findings support compliance with the Cancer Prevention Recommendations for cancer prevention in the UK.
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Affiliation(s)
- Fiona C Malcomson
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
- Centre for Cancer, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Solange Parra-Soto
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
- School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
- Department of Nutrition and Public Health, Universidad del Bío-Bío, Chillan, Chile
| | - Frederick K Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Liya Lu
- Centre for Cancer, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - Carlos Celis-Morales
- School of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
- Human Performance Lab, Education, Physical Activity and Health Research Unit, University Católica del Maule, Talca, Chile
| | - Linda Sharp
- Centre for Cancer, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK
| | - John C Mathers
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle Upon Tyne, UK.
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Lehrer S, Rheinstein PH. Increased Maternal Compared to Paternal Transmission of Alzheimer's Disease May Be Due to Increased Incidence of Depression in Women. In Vivo 2023; 37:2447-2451. [PMID: 37905609 PMCID: PMC10621409 DOI: 10.21873/invivo.13350] [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: 07/04/2023] [Revised: 09/05/2023] [Accepted: 09/06/2023] [Indexed: 11/02/2023]
Abstract
BACKGROUND Mothers transmit Alzheimer's disease (AD) more frequently than fathers. Factors other than female longevity may be at work to promote maternal transmission of AD. Among these are the X chromosome, mitochondrial DNA, and AD comorbidities, especially depression. A recent study associated mitochondrial SNP rs2853499 with AD. MATERIALS AND METHODS We used UK Biobank (UKBB) data to investigate the relation of mitochondrial SNP rs2853499, with AD. To identify cases of AD we used ICD10 code G30.9. Data processing was performed on Minerva, a Linux mainframe with Centos 7.6, at the Icahn School of Medicine at Mount Sinai. We used PLINK, a whole-genome association analysis toolset, to analyze the UKB22418 mitochondrial hard-called chromosome file. RESULTS Of 953 AD cases, 493 were male (51.7%) and 460 were female (48.3%). Mothers were twice as likely to transmit AD compared to fathers. We found that in individuals with AD, 22.3% (n=201) carried the A allele of SNP rs2853499, 77.7% (n=700) carried the G allele. In individuals without AD, 22.2% (n=10,7726) carried the A allele of SNP rs2853499, 77.8% (n=378,535) carried the G allele. This difference was not significant (p=0.91, two-tailed Fisher exact test). Therefore, factors other than mitochondrial SNP rs2853499 may be at work to promote maternal transmission of AD. CONCLUSION We conclude that depression, a multigenic illness, in the mother is most likely the basis for the fact that mothers transmit AD twice as often as fathers.
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Affiliation(s)
- Steven Lehrer
- Department of Radiation Oncology Icahn School of Medicine at Mount Sinai, New York, NY, U.S.A.;
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35
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He Q, Wu S, Zhou Y, Liu Y, Xia B, Li W, Zhao J, Mi N, Xie P, Qin X, Yuan J, Pan Y. Genetic factors, adherence to healthy lifestyle behaviors, and risk of bladder cancer. BMC Cancer 2023; 23:965. [PMID: 37828430 PMCID: PMC10568887 DOI: 10.1186/s12885-023-11455-4] [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: 04/28/2023] [Accepted: 09/27/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND Genetic and lifestyle factors both contribute to the pathogenesis of bladder cancer, but the extent to which the increased genetic risk can be mitigated by adhering to a healthy lifestyle remains unclear. We aimed to investigate the association of combined lifestyle factors with bladder cancer risk within genetic risk groups. METHODS We conducted a prospective study of 375 998 unrelated participants of European ancestry with genotype and lifestyle data and free of cancer from the UK biobank. We generated a polygenic risk score (PRS) using 16 single nucleotide polymorphisms and a healthy lifestyle score based on body weight, smoking status, physical activity, and diet. Cox models were fitted to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs) of genetic and lifestyle factors on bladder cancer. RESULTS During a median follow-up of 11.8 years, 880 participants developed bladder cancer. Compared with those with low PRS, participants with intermediate and high PRS had a higher risk of bladder cancer (HR 1.29, 95% CI 1.07-1.56; HR 1.63, 95% CI 1.32-2.02, respectively). An optimal lifestyle was associated with an approximately 50% lower risk of bladder cancer than a poor lifestyle across all genetic strata. Participants with a high genetic risk and a poor lifestyle had 3.6-fold elevated risk of bladder cancer compared with those with a low genetic risk and an optimal lifestyle (HR 3.63, 95% CI 2.23 -5.91). CONCLUSIONS Adhering to a healthy lifestyle could substantially reduce the bladder cancer risk across all genetic strata, even for high-genetic risk individuals. For all populations, adopting an intermediate lifestyle is more beneficial than a poor one, and adhering to an optimal lifestyle is the ideal effective strategy for bladder cancer prevention.
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Affiliation(s)
- Qiangsheng He
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Siqing Wu
- School of Medicine, Sun Yat-Sen University, Shenzhen, Guangdong, 518107, China
| | - Ying Zhou
- Primary Care Office, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Yuchen Liu
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Bin Xia
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Wenjing Li
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Jinyu Zhao
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Ningning Mi
- Department of General Surgery, The First Hospital of Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Peng Xie
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China
| | - Xiwen Qin
- Department of Pharmacology and Pharmacy, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong
- School of Population and Global Health, Faculty of Medicine, Density and Health Sciences, University of Western Australia, Perth, AU-WA, Australia
| | - Jinqiu Yuan
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
- Clinical Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
| | - Yihang Pan
- Scientific Research Center, Big Data Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
- Guangdong Provincial Key Laboratory of Gastroenterology, Center for Digestive Disease, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, 518107, Guangdong, China.
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Roheel A, Khan A, Anwar F, Akbar Z, Akhtar MF, Imran Khan M, Sohail MF, Ahmad R. Global epidemiology of breast cancer based on risk factors: a systematic review. Front Oncol 2023; 13:1240098. [PMID: 37886170 PMCID: PMC10598331 DOI: 10.3389/fonc.2023.1240098] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 09/11/2023] [Indexed: 10/28/2023] Open
Abstract
Background Numerous reviews of the epidemiology and risk factors for breast cancer have been published previously which heighted different directions of breast cancer. Aim The present review examined the likelihood that incidence, prevalence, and particular risk factors might vary by geographic region and possibly by food and cultural practices as well. Methods A systematic review (2017-2022) was conducted following Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) guidelines, reporting on epidemiological and risk factor reports from different world regions. Medical Subject Heading (MeSH) terms: "Breast neoplasm" "AND" country terms such as "Pakistan/epidemiology", "India/epidemiology", "North America/epidemiology", "South Africa/epidemiology" were used to retrieve 2068 articles from PubMed. After applying inclusion and exclusion terms, 49 papers were selected for systematic review. Results Results of selected articles were summarized based on risk factors, world regions and study type. Risk factors were classified into five categories: demographic, genetic and lifestyle risk factors varied among countries. This review article covers a variety of topics, including regions, main findings, and associated risk factors such as genetic factors, and lifestyle. Several studies revealed that lifestyle choices including diet and exercise could affect a person's chance of developing breast cancer. Breast cancer risk has also been linked to genetic variables, including DNA repair gene polymorphisms and mutations in the breast cancer gene (BRCA). It has been found that most of the genetic variability links to the population of Asia while the cause of breast cancer due to lifestyle modifications has been found in American and British people, indicating that demographic, genetic, and, lifestyle risk factors varied among countries. Conclusion There are many risk factors for breast cancer, which vary in their importance depending on the world region. However, further investigation is required to better comprehend the particular causes of breast cancer in these areas as well as to create efficient prevention and treatment plans that cater to the local population.
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Affiliation(s)
- Amna Roheel
- Riphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore, Islamabad, Pakistan
| | - Aslam Khan
- Riphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore, Islamabad, Pakistan
| | - Fareeha Anwar
- Riphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore, Islamabad, Pakistan
| | - Zunaira Akbar
- Riphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore, Islamabad, Pakistan
| | - Muhammad Furqan Akhtar
- Riphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore, Islamabad, Pakistan
| | - Mohammad Imran Khan
- Riphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore, Islamabad, Pakistan
| | - Mohammad Farhan Sohail
- Riphah Institute of Pharmaceutical Sciences, Riphah International University, Lahore, Islamabad, Pakistan
| | - Rizwan Ahmad
- Department of Natural Products, College of Clinical Pharmacy, Imam Andulrahman Bin Faisal University, Rakah, Dammam, Saudi Arabia
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Jia Z, Zhang H, Yu L, Qiu F, Lv Y, Guan J, Gang H, Zuo J, Zheng T, Liu H, Xia W, Xu S, Li Y. Prenatal Lead Exposure, Genetic Factors, and Cognitive Developmental Delay. JAMA Netw Open 2023; 6:e2339108. [PMID: 37870833 PMCID: PMC10594149 DOI: 10.1001/jamanetworkopen.2023.39108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2023] [Accepted: 09/04/2023] [Indexed: 10/24/2023] Open
Abstract
Importance Although the effects of lead (Pb) exposure on neurocognition in children have been confirmed, the individual associations of prenatal Pb exposure and its interaction with genetic factors on cognitive developmental delay (CDD) in children remain unclear. Objective To investigate the association of prenatal Pb exposure and its interaction with genetic factors with CDD risk. Design, Setting, and Participants Women in Wuhan, China, who had an expected delivery date between March 2014 and December 2017, were recruited for this prospective cohort study. Children were assessed for cognitive development at approximately 2 years of age (March 2016 to December 2019). Maternal venous blood, cord blood, and venous blood from children were collected in a longitudinal follow-up. Data analysis was performed from March 2022 to February 2023. Exposure Prenatal Pb exposure, and genetic risk for cognitive ability evaluated by polygenic risk score constructed with 58 genetic variations. Main Outcomes and Measures Cognitive developmental delay of children aged approximately 2 years was assessed using the Chinese revision of the Bayley Scale of Infant Development. A series of multivariable logistic regressions was estimated to determine associations between prenatal Pb exposure and CDD among children with various genetic backgrounds, adjusting for confounding variables. Results This analysis included 2361 eligible mother-child pairs (1240 boys [52.5%] and 1121 girls [47.5%]; mean [SD] ages of mothers and children, 28.9 [3.6] years and 24.8 [1.0] months, respectively), with 292 children (12.4%) having CDD. Higher maternal Pb levels were significantly associated with increased risk of CDD (highest vs lowest tertile: odds ratio, 1.55; 95% CI, 1.13-2.13), adjusting for demographic confounders. The association of CDD with maternal Pb levels was more evident among children with higher genetic risk (highest vs lowest tertile: odds ratio, 2.59; 95% CI, 1.48-4.55), adjusting for demographic confounders. Conclusions and Relevance In this cohort study, prenatal Pb exposure was associated with an increased risk of CDD in children, especially in those with a high genetic risk. These findings suggest that prenatal Pb exposure and genetic background may jointly contribute to an increased risk of CDD for children and indicate the possibility for an integrated strategy to assess CDD risk and improve children's cognitive ability.
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Affiliation(s)
- Zhenxian Jia
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | | | - Ling Yu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Feng Qiu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yiqing Lv
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jing Guan
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Huiqing Gang
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jingwen Zuo
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Tongzhang Zheng
- Department of Epidemiology, School of Public Health, Brown University, Providence, Rhode Island
| | - Hongxiu Liu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Wei Xia
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Shunqing Xu
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Yuanyuan Li
- Key Laboratory of Environment and Health, Ministry of Education and Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
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Cherubini A, Ostadreza M, Jamialahmadi O, Pelusi S, Rrapaj E, Casirati E, Passignani G, Norouziesfahani M, Sinopoli E, Baselli G, Meda C, Dongiovanni P, Dondossola D, Youngson N, Tourna A, Chokshi S, Bugianesi E, Della Torre S, Prati D, Romeo S, Valenti L. Interaction between estrogen receptor-α and PNPLA3 p.I148M variant drives fatty liver disease susceptibility in women. Nat Med 2023; 29:2643-2655. [PMID: 37749332 PMCID: PMC10579099 DOI: 10.1038/s41591-023-02553-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 08/21/2023] [Indexed: 09/27/2023]
Abstract
Fatty liver disease (FLD) caused by metabolic dysfunction is the leading cause of liver disease and the prevalence is rising, especially in women. Although during reproductive age women are protected against FLD, for still unknown and understudied reasons some develop rapidly progressive disease at the menopause. The patatin-like phospholipase domain-containing 3 (PNPLA3) p.I148M variant accounts for the largest fraction of inherited FLD variability. In the present study, we show that there is a specific multiplicative interaction between female sex and PNPLA3 p.I148M in determining FLD in at-risk individuals (steatosis and fibrosis, P < 10-10; advanced fibrosis/hepatocellular carcinoma, P = 0.034) and in the general population (P < 10-7 for alanine transaminase levels). In individuals with obesity, hepatic PNPLA3 expression was higher in women than in men (P = 0.007) and in mice correlated with estrogen levels. In human hepatocytes and liver organoids, PNPLA3 was induced by estrogen receptor-α (ER-α) agonists. By chromatin immunoprecipitation and luciferase assays, we identified and characterized an ER-α-binding site within a PNPLA3 enhancer and demonstrated via CRISPR-Cas9 genome editing that this sequence drives PNPLA3 p.I148M upregulation, leading to lipid droplet accumulation and fibrogenesis in three-dimensional multilineage spheroids with stellate cells. These data suggest that a functional interaction between ER-α and PNPLA3 p.I148M variant contributes to FLD in women.
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Affiliation(s)
- Alessandro Cherubini
- Precision Medicine-Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Mahnoosh Ostadreza
- Precision Medicine-Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Oveis Jamialahmadi
- Department of Molecular and Clinical Medicine, Gothenburg University, Gothenburg, Sweden
| | - Serena Pelusi
- Precision Medicine-Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Eniada Rrapaj
- Precision Medicine-Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Elia Casirati
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
| | - Giulia Passignani
- Precision Medicine-Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Marjan Norouziesfahani
- Precision Medicine-Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Elena Sinopoli
- Precision Medicine-Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Guido Baselli
- Precision Medicine-Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Clara Meda
- Department of Health Sciences, Università degli Studi di Milano, Milan, Italy
| | - Paola Dongiovanni
- Medicine and Metabolic Diseases, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Daniele Dondossola
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy
- General and Liver Transplant Surgery, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico and University of Milan, Centre of Preclinical Research, Milan, Italy
| | - Neil Youngson
- Foundation for Liver Research, The Roger Williams Institute of Hepatology, London, UK
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Aikaterini Tourna
- Foundation for Liver Research, The Roger Williams Institute of Hepatology, London, UK
| | - Shilpa Chokshi
- Foundation for Liver Research, The Roger Williams Institute of Hepatology, London, UK
- Faculty of Life Sciences and Medicine, King's College London, London, UK
| | - Elisabetta Bugianesi
- Department of Medical Sciences, Division of Gastroenterology, University of Turin, Turin, Italy
| | - Sara Della Torre
- Department of Pharmaceutical Sciences, Università degli Studi di Milano, Milan, Italy
| | - Daniele Prati
- Precision Medicine-Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Stefano Romeo
- Department of Molecular and Clinical Medicine, Gothenburg University, Gothenburg, Sweden
- Cardiology Department, Sahlgrenska Hospital, Gothenburg, Sweden
- Department of Medical and Surgical Science, Magna Græcia University, Catanzaro, Italy
| | - Luca Valenti
- Precision Medicine-Biological Resource Center and Department of Transfusion Medicine, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy.
- Department of Pathophysiology and Transplantation, Università degli Studi di Milano, Milan, Italy.
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Madakkatel I, Lumsden AL, Mulugeta A, Olver I, Hyppönen E. Hypothesis-free discovery of novel cancer predictors using machine learning. Eur J Clin Invest 2023; 53:e14037. [PMID: 37303098 DOI: 10.1111/eci.14037] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Revised: 05/03/2023] [Accepted: 05/25/2023] [Indexed: 06/13/2023]
Abstract
BACKGROUND Cancer is a leading cause of morbidity and mortality worldwide, and better understanding of the risk factors could enhance prevention. METHODS We conducted a hypothesis-free analysis combining machine learning and statistical approaches to identify cancer risk factors from 2828 potential predictors captured at baseline. There were 459,169 UK Biobank participants free from cancer at baseline and 48,671 new cancer cases during the 10-year follow-up. Logistic regression models adjusted for age, sex, ethnicity, education, material deprivation, smoking, alcohol intake, body mass index and skin colour (as a proxy for sun sensitivity) were used for obtaining adjusted odds ratios, with continuous predictors presented using quintiles (Q). RESULTS In addition to smoking, older age and male sex, positively associating features included several anthropometric characteristics, whole body water mass, pulse, hypertension and biomarkers such as urinary microalbumin (Q5 vs. Q1 OR 1.16, 95% CI = 1.13-1.19), C-reactive protein (Q5 vs. Q1 OR 1.20, 95% CI = 1.16-1.24) and red blood cell distribution width (Q5 vs. Q1 OR 1.18, 95% CI = 1.14-1.21), among others. High-density lipoprotein cholesterol (Q5 vs. Q1 OR 0.84, 95% CI = 0.81-0.87) and albumin (Q5 vs. Q1 OR 0.84, 95% CI = 0.81-0.87) were inversely associated with cancer. In sex-stratified analyses, higher testosterone increased the risk in females but not in males (Q5 vs. Q1 ORfemales 1.23, 95% CI = 1.17-1.30). Phosphate was associated with a lower risk in females but a higher risk in males (Q5 vs. Q1 ORfemales 0.94, 95% CI = 0.90-0.99 vs. ORmales 1.09, 95% CI 1.04-1.15). CONCLUSIONS This hypothesis-free analysis suggests personal characteristics, metabolic biomarkers, physical measures and smoking as important predictors of cancer risk, with further studies needed to confirm causality and clinical relevance.
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Affiliation(s)
- Iqbal Madakkatel
- Australian Centre for Precision Health, Unit of Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Amanda L Lumsden
- Australian Centre for Precision Health, Unit of Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
| | - Anwar Mulugeta
- Australian Centre for Precision Health, Unit of Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
- Department of Pharmacology and Clinical Pharmacy, College of Health Sciences, Addis Ababa, Ethiopia
| | - Ian Olver
- School of Psychology, Faculty of Health and Medical Sciences, University of Adelaide, Adelaide, South Australia, Australia
| | - Elina Hyppönen
- Australian Centre for Precision Health, Unit of Clinical and Health Sciences, University of South Australia, Adelaide, South Australia, Australia
- South Australian Health and Medical Research Institute, Adelaide, South Australia, Australia
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Ho PJ, Lim EH, Hartman M, Wong FY, Li J. Breast cancer risk stratification using genetic and non-genetic risk assessment tools for 246,142 women in the UK Biobank. Genet Med 2023; 25:100917. [PMID: 37334786 DOI: 10.1016/j.gim.2023.100917] [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: 01/31/2023] [Revised: 06/08/2023] [Accepted: 06/09/2023] [Indexed: 06/20/2023] Open
Abstract
PURPOSE The benefit of using individual risk prediction tools to identify high-risk individuals for breast cancer (BC) screening is uncertain, despite the personalized approach of risk-based screening. METHODS We studied the overlap of predicted high-risk individuals among 246,142 women enrolled in the UK Biobank. Risk predictors assessed include the Gail model (Gail), BC family history (FH, binary), BC polygenic risk score (PRS), and presence of loss-of-function (LoF) variants in BC predisposition genes. Youden J-index was used to select optimal thresholds for defining high-risk. RESULTS In total, 147,399 were considered at high risk for developing BC within the next 2 years by at least 1 of the 4 risk prediction tools examined (Gail2-year > 0.5%: 47%, PRS2-yea r > 0.7%: 30%, FH: 6%, and LoF: 1%); 92,851 (38%) were flagged by only 1 risk predictor. The overlap between individuals flagged as high-risk because of genetic (PRS) and Gail model risk factors was 30%. The best-performing combinatorial model comprises a union of high-risk women identified by PRS, FH, and, LoF (AUC2-year [95% CI]: 62.2 [60.8 to 63.6]). Assigning individual weights to each risk prediction tool increased discriminatory ability. CONCLUSION Risk-based BC screening may require a multipronged approach that includes PRS, predisposition genes, FH, and other recognized risk factors.
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Affiliation(s)
- Peh Joo Ho
- Laboratory of Women's Health and Genetics, Genome Institute of Singapore, A∗STAR Research Entities, Singapore; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore
| | - Elaine H Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Mikael Hartman
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
| | - Fuh Yong Wong
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Jingmei Li
- Laboratory of Women's Health and Genetics, Genome Institute of Singapore, A∗STAR Research Entities, Singapore; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
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Zhang X, Shen L, Zhu Y, Zhai C, Zeng H, Liu X, Tao J. Crosstalk of RNA methylation writers defines tumor microenvironment and alisertib resistance in breast cancer. Front Endocrinol (Lausanne) 2023; 14:1166939. [PMID: 37818090 PMCID: PMC10561238 DOI: 10.3389/fendo.2023.1166939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Accepted: 04/19/2023] [Indexed: 10/12/2023] Open
Abstract
Background The five major RNA methylation modifications (m6A, m1A, m6Am, m5C, and m7G) exert biological roles in tumorigenicity and immune response, mediated mainly by "writer" enzymes. Here, the prognostic values of the "writer" enzymes and the TCP1 role in drug resistance in breast cancer (BC) were explored for further therapeutic strategies. Methods We comprehensively characterized clinical, molecular, and genetic features of subtypes by consensus clustering. RNA methylation modification "Writers" and related genes_risk (RMW_risk) model for BC was constructed via a machine learning approach. Moreover, we performed a systematical analysis for characteristics of the tumor microenvironment (TME), alisertib sensitivity, and immunotherapy response. A series of experiments in vitro were carried out to assess the association of TCP1 with drug resistance. Results One "writer" (RBM15B) and two related genes (TCP1 and ANKRD36) were identified for prognostic model construction, validated by GSE1456, GSE7390, and GSE20685 cohorts and our follow-up data. Based on the patterns of the genes related to prognosis, patients were classified into RMW_risk-high and RMW_risk-low subtypes. Lower RMW_Score was associated with better overall survival and the infiltration of immune cells such as memory B cells. Further analysis revealed that RMW_Score presented potential values in predicting drug sensitivity and response for chemo- and immunotherapy. In addition, TCP1 was confirmed to promote BC alisertib-resistant cell proliferation and migration in vitro. Conclusion RMW_Score could function as a robust biomarker for predicting BC patient survival and therapeutic benefits. This research revealed a potential TCP1 role regarding alisertib resistance in BC, providing new sights into more effective therapeutic plans.
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Affiliation(s)
- Xiaoqiang Zhang
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China
- Breast Disease Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Li Shen
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Yanhui Zhu
- Breast Disease Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Changyuan Zhai
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Hanling Zeng
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China
| | - Xiaoan Liu
- Breast Disease Center, The First Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu, China
| | - Jing Tao
- Department of General Surgery, The Fourth Affiliated Hospital of Nanjing Medical University, Nanjing Medical University, Nanjing, Jiangsu, China
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Malcomson FC, Wiggins C, Parra-Soto S, Ho FK, Celis-Morales C, Sharp L, Mathers JC. Adherence to the 2018 World Cancer Research Fund/American Institute for Cancer Research Cancer Prevention Recommendations and cancer risk: A systematic review and meta-analysis. Cancer 2023; 129:2655-2670. [PMID: 37309215 DOI: 10.1002/cncr.34842] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/28/2023] [Accepted: 04/06/2023] [Indexed: 06/14/2023]
Abstract
BACKGROUND The World Cancer Research Fund/American Institute for Cancer Research Cancer Prevention Recommendations are lifestyle-based guidelines that aim to reduce cancer risk. A systematic review and meta-analysis of studies investigating associations between a score for adherence to the 2018 Cancer Prevention Recommendations and cancer risk was conducted. METHODS MEDLINE, Embase, Web of Science, and Scopus were searched for studies published to November 28, 2022. In meta-analysis, the estimated risk ratios and 95% CIs for adherence score as a continuous (per 1-point increment) and categorical (highest vs. lowest score category) variable using random-effects models were estimated. RESULTS Eighteen studies (11 cohort; seven case-control) were included investigating incidence of breast (n = 7), colorectal (n = 5), prostate (n = 2), lung (n = 2), pancreatic (n = 1), endometrial (n = 1), unknown primary cancer (n = 1), chronic lymphocytic leukemia (n = 1), and overall (any) cancer (n = 1). The summary risk ratio per 1-point increment in adherence score was 0.89 (95% CI, 0.85-0.93; I2 = 76.5%; n = 7) for breast cancer, 0.88 (95% CI, 0.84-0.91; I2 = 26.2%; n = 4) for colorectal cancer, and 0.92 (95% CI, 0.86-0.98, I2 = 66.0%; n = 2) for lung cancer. There were no significant associations with prostate or other cancers. Meta-analysis results using categorical adherence score variables were consistent with these findings. CONCLUSIONS Greater adherence to the 2018 World Cancer Research Fund/American Institute for Cancer Research Cancer Prevention Recommendations was associated with lower risk of breast, colorectal, and lung cancers. Future studies investigating associations with risk of other forms of cancer are warranted. PROSPERO REGISTRATION NUMBER CRD42022313327.
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Affiliation(s)
- Fiona C Malcomson
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Christopher Wiggins
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - Solange Parra-Soto
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
- Department of Nutrition and Public Health, Universidad del Bío-Bío, Chillan, Chile
| | - Frederick K Ho
- School of Health and Wellbeing, University of Glasgow, Glasgow, UK
| | - Carlos Celis-Morales
- School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, UK
- Human Performance Lab, Education, Physical Activity and Health Research Unit, University Católica del Maule, Talca, Chile
| | - Linda Sharp
- Centre for Cancer, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
| | - John C Mathers
- Human Nutrition & Exercise Research Centre, Centre for Healthier Lives, Population Health Sciences Institute, Newcastle University, Newcastle upon Tyne, UK
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Choi J, Ha TW, Choi HM, Lee HB, Shin HC, Chung W, Han W. Development of a Breast Cancer Risk Prediction Model Incorporating Polygenic Risk Scores and Nongenetic Risk Factors for Korean Women. Cancer Epidemiol Biomarkers Prev 2023; 32:1182-1189. [PMID: 37310812 PMCID: PMC10472098 DOI: 10.1158/1055-9965.epi-23-0064] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 04/19/2023] [Accepted: 06/09/2023] [Indexed: 06/15/2023] Open
Abstract
BACKGROUND To develop a breast cancer prediction model for Korean women using published polygenic risk scores (PRS) combined with nongenetic risk factors (NGRF). METHODS Thirteen PRS models generated from single or multiple combinations of the Asian and European PRSs were evaluated among 20,434 Korean women. The AUC and increase in OR per SD were compared for each PRS. The PRSs with the highest predictive power were combined with NGRFs; then, an integrated prediction model was established using the Individualized Coherent Absolute Risk Estimation (iCARE) tool. The absolute breast cancer risk was stratified for 18,142 women with available follow-up data. RESULTS PRS38_ASN+PRS190_EB, a combination of Asian and European PRSs, had the highest AUC (0.621) among PRSs, with an OR per SD increase of 1.45 (95% confidence interval: 1.31-1.61). Compared with the average risk group (35%-65%), women in the top 5% had a 2.5-fold higher risk of breast cancer. Incorporating NGRFs yielded a modest increase in the AUC of women ages >50 years. For PRS38_ASN+PRS190_EB+NGRF, the average absolute risk was 5.06%. The lifetime absolute risk at age 80 years for women in the top 5% was 9.93%, whereas that of women in the lowest 5% was 2.22%. Women at higher risks were more sensitive to NGRF incorporation. CONCLUSIONS Combined Asian and European PRSs were predictive of breast cancer in Korean women. Our findings support the use of these models for personalized screening and prevention of breast cancer. IMPACT Our study provides insights into genetic susceptibility and NGRFs for predicting breast cancer in Korean women.
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Affiliation(s)
- Jihye Choi
- Department of General Surgery, National Medical Center, Seoul, Republic of Korea
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
| | | | | | - Han-Byoel Lee
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
- DCGen, Co., Ltd., Seoul, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Hee-Chul Shin
- DCGen, Co., Ltd., Seoul, Republic of Korea
- Department of Surgery, Seoul National University Bundang Hospital, Seongnam, Republic of Korea
| | | | - Wonshik Han
- Department of Surgery, Seoul National University College of Medicine, Seoul, Republic of Korea
- DCGen, Co., Ltd., Seoul, Republic of Korea
- Biomedical Research Institute, Seoul National University Hospital, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
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Huang Y, Zheng D, Yang Q, Wu J, Tian H, Ji Z, Chen L, Cai J, Li Z, Chen Y. Global trends in BRCA-related breast cancer research from 2013 to 2022: A scientometric analysis. Front Oncol 2023; 13:1197168. [PMID: 37476378 PMCID: PMC10354558 DOI: 10.3389/fonc.2023.1197168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 06/21/2023] [Indexed: 07/22/2023] Open
Abstract
Introduction Since the mid-2000s, breast cancer incidence among women has slowly increased at about 0.5% per year. In the last three decades, Breast Cancer Susceptibility Gene (BRCA) has been proven to be the crucial gene in encouraging the incidence and development of breast cancer. However, scientometric analysis on BRCA-related breast cancer is in shortage. Thus, to have a clear understanding of the current status and catch up with the hotspots, a scientometric analysis was conducted on specific academic publications collected from the Web of Science (WoS). Methods We searched the Web of Science Core Collection (WoSCC) to procure associated articles as our dataset. Bibliometric, CiteSpace, VOSviewer, and HistCite software were then applied to conduct visual analyses of countries, institutions, journals, authors, landmark articles, and keywords in this research field. Results A total of 7,266 articles and 1,310 review articles published between 2013 to 2022 were retrieved eventually. The annual output steadily rose year by year and peaked in 2021. The USA led the way in the number of published works, total citations, and collaboration. Breast Cancer Research and Treatment was the most favoured journal in this research field. Narod SA from the University of Toronto produced the most publications. At last, the most prominent keywords were "breast cancer" (n=1,778), "women" (n=1,369), "brca1" (n=1,276), "ovarian cancer" (n=1,259), "risk" (n=1,181), and "mutations" (n=929), which exposed the hotspots within the BRCA domain of breast cancer study. Conclusion The tendency in the BRCA research field over the past decade was presented by the scientometric analysis. The current research focus is the clinical trials of poly-adenosine diphosphate ribose polymerase inhibitors (PARPi) drugs and their resistance mechanisms.
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Affiliation(s)
| | | | | | | | | | | | | | | | - Zhiyang Li
- *Correspondence: Zhiyang Li, ; Yexi Chen,
| | - Yexi Chen
- *Correspondence: Zhiyang Li, ; Yexi Chen,
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Armenta-Guirado BI, González-Rocha A, Mérida-Ortega Á, López-Carrillo L, Denova-Gutiérrez E. Lifestyle Quality Indices and Female Breast Cancer Risk: A Systematic Review and Meta-Analysis. Adv Nutr 2023; 14:685-709. [PMID: 37085092 PMCID: PMC10334144 DOI: 10.1016/j.advnut.2023.04.007] [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: 10/31/2022] [Revised: 03/14/2023] [Accepted: 04/18/2023] [Indexed: 04/23/2023] Open
Abstract
Breast cancer (BC) poses an important burden of disease, which probably could be reduced by adopting healthy lifestyles like healthy body weight, healthy diet, and physical activity, among others. Many studies have reported that adherence to healthy lifestyles may decrease BC risk. The main objective of this study was to estimate a summary association of studies evaluating a healthy lifestyle index and BC risk. A systematic review and meta-analysis following the Cochrane methodology were carried out. Observational studies, including healthy lifestyle indices and their association with BC, were searched from 4 databases. For the meta-analysis, random-effects model was used to evaluate overall BC risk, BC by molecular subtype and menopausal status. Thirty-one studies were included in the systematic review, and 29 studies in the meta-analysis. When the highest vs. the lowest category to a healthy lifestyle index were compared, the study identified a 20% risk reduction for BC in prospective studies (hazard ratio [HR] 0.80 95% CI: 0.78, 0.83) and an odds ratio (OR) of 0.74 (95% CI: 0.63, 0.86) for retrospective studies. The inverse association remained statistically significant when stratified by menopausal status, except for premenopausal BC in prospective studies. Furthermore, an inverse association was found for molecular subtypes estrogen receptor (ER+)/progesterone receptor (PR+): HR = 0.68 (95%CI: 0.63, 0.73), ER+/PR-: HR = 0.78 (95% CI: 0.67, 0.90) and ER-/PR-: HR = 0.77 (95% CI: 0.64, 0.92). Most studies scored at a low risk of bias and a moderate score for the certainty of the evidence. Adherence to a healthy lifestyle reduces the risk of BC, regardless of its molecular subtypes, which should be considered a priority to generate recommendations for BC prevention at a population level. International prospective register of systematic reviews (PROSPERO) ID: CRD42021267759.
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Affiliation(s)
- Brianda I Armenta-Guirado
- Center for Research in Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico; Department of Health Sciences, University of Sonora, México
| | - Alejandra González-Rocha
- Center for Research in Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico
| | - Ángel Mérida-Ortega
- Center of Population Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Lizbeth López-Carrillo
- Center of Population Health Research, National Institute of Public Health, Cuernavaca, Mexico
| | - Edgar Denova-Gutiérrez
- Center for Research in Nutrition and Health, National Institute of Public Health, Cuernavaca, Mexico.
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Abstract
Breast cancer is the most common cancer in women globally with enormous associated morbidity, mortality and economic impact. Prevention of breast cancer is a global public health imperative. To date, most of our global efforts have been directed at expanding population breast cancer screening programs for early cancer detection and not at breast cancer prevention efforts. It is imperative that we change the paradigm. As with other diseases, prevention of breast cancer starts with identification of individuals at high risk, and for breast cancer this requires improved identification of individuals who carry a hereditary cancer mutation associated with an elevated risk of breast cancer, and identification of others who are at high risk due to non-genetic, established modifiable and non-modifiable factors. This article will review basic breast cancer genetics and the most common hereditary breast cancer mutations associated with increased risk. We will also discuss the other non-genetic modifiable and non-modifiable breast cancer risk factors, available risk assessment models and an approach to incorporating screening for genetic mutation carriers and identifying high-risk women in clinical practice. A discussion of guidelines for enhanced screening, chemoprevention and surgical management of high-risk women is beyond the scope of this review.
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Affiliation(s)
- L Larkin
- MS.Medicine, Cincinnati, OH, USA
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Plym A, Zhang Y, Stopsack KH, Delcoigne B, Wiklund F, Haiman C, Kenfield SA, Kibel AS, Giovannucci E, Penney KL, Mucci LA. A Healthy Lifestyle in Men at Increased Genetic Risk for Prostate Cancer. Eur Urol 2023; 83:343-351. [PMID: 35637041 DOI: 10.1016/j.eururo.2022.05.008] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/23/2021] [Revised: 04/20/2022] [Accepted: 05/10/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Prostate cancer is the most heritable cancer. There is a need to identify possible modifiable factors for men at an increased risk of prostate cancer due to genetic factors. OBJECTIVE To examine whether men at an increased genetic risk of prostate cancer can offset their risk of disease or disease progression by adhering to a healthy lifestyle. DESIGN, SETTING, AND PARTICIPANTS We prospectively followed 12 411 genotyped men in the Health Professionals Follow-up Study (1993-2019) and the Physicians' Health Study (1983-2010). Genetic risk of prostate cancer was quantified using a polygenic risk score (PRS). A healthy lifestyle was defined by healthy weight, vigorous physical activity, not smoking, and a healthy diet. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS Overall and lethal prostate cancer events (metastatic disease/prostate cancer-specific death) were analyzed using time-to-event analyses estimating hazard ratios (HRs) and lifetime risks. RESULTS AND LIMITATIONS During 27 yr of follow-up, 3005 overall prostate cancer and 435 lethal prostate cancer events were observed. The PRS enabled risk stratification not only for overall prostate cancer, but also for lethal disease with a four-fold difference between men in the highest and lowest quartiles (HR, 4.32; 95% confidence interval [CI], 3.16-5.89). Among men in the highest PRS quartile, adhering to a healthy lifestyle was associated with a decreased rate of lethal prostate cancer (HR, 0.55; 95% CI, 0.36-0.86) compared with having an unhealthy lifestyle, translating to a lifetime risk of 1.6% (95% CI, 0.8-3.1%) among the healthy and 5.3% (95% CI, 3.6-7.8%) among the unhealthy. Adhering to a healthy lifestyle was not associated with a decreased risk of overall prostate cancer. CONCLUSIONS Our findings suggest that a genetic predisposition for prostate cancer is not deterministic for a poor cancer outcome. Maintaining a healthy lifestyle may provide a way to offset the genetic risk of lethal prostate cancer. PATIENT SUMMARY This study examined whether the genetic risk of prostate cancer can be attenuated by a healthy lifestyle including a healthy weight, regular exercise, not smoking, and a healthy diet. We observed that adherence to a healthy lifestyle reduced the risk of metastatic disease and prostate cancer death among men at the highest genetic risk. We conclude that men at a high genetic risk of prostate cancer may benefit from adhering to a healthy lifestyle.
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Affiliation(s)
- Anna Plym
- Urology Division, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden.
| | - Yiwen Zhang
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Konrad H Stopsack
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Bénédicte Delcoigne
- Division of Clinical Epidemiology, Department of Medicine Solna, Karolinska Institutet, Stockholm, Sweden
| | - Fredrik Wiklund
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
| | - Christopher Haiman
- Center for Genetic Epidemiology, Department of Preventive Medicine, Keck School of Medicine, University of Southern California/Norris Comprehensive Cancer Center, Los Angeles, CA, USA
| | - Stacey A Kenfield
- Departments of Urology and Epidemiology & Biostatistics, University of California, San Francisco, CA, USA
| | - Adam S Kibel
- Urology Division, Department of Surgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Edward Giovannucci
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Kathryn L Penney
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Lorelei A Mucci
- Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
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Liu Z, Su Y, Huang R, Li R, Wei Z, He L, Pei Y, Min Y, Hu X, Peng X. Depression Trajectories, Genetic Risk, and Cognitive Performance in Older Adults: Multilevel Model with a 10-Year Longitudinal Cohort. Gerontology 2023; 69:899-909. [PMID: 36944316 DOI: 10.1159/000530200] [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: 08/18/2022] [Accepted: 03/13/2023] [Indexed: 03/23/2023] Open
Abstract
INTRODUCTION Cognitive performance in older ages is strongly affected by individuals' genetic predispositions. We investigated whether depression trajectories were associated with subsequent cognitive performance independent of participants' genetic predispositions. METHODS Participants from the Health and Retirement Study with European ancestry and aged over 50 were included in the analysis. Depressive symptoms were evaluated using the Center for Epidemiologic Studies Depression Scale, and the 6-year trajectories were fitted using latent class linear mixed models. Linear multilevel regression was applied to model the associations between depression trajectory and subsequent cognitive performance. Stratified analyses were performed to investigate these associations in participants with different genetic predispositions of cognitive performance and APOE ε4 allelic status. RESULTS A total of 5,942 eligible participants were included in the study. Four depression trajectories were identified. Compared with the nondepression trajectory, all other depression trajectories were associated with worse cognitive performance (β [95% CI]: mild-depression trajectory: -0.20 [-0.56, -0.06], p = 0.007; worsening-depression trajectory: -0.29 [-0.47, -0.12], p = 0.001; persistent-depression trajectory: -0.32 [-0.53, -0.13], p = 0.001). Although these associations were independent of participants' inherent genetic risk, the participants with a low polygenetic score for cognitive performance were more likely to have an enhanced association between depression trajectories and cognitive decline. Similar relationships were also found in APOE ε4 noncarriers. CONCLUSION Among older participants with European ancestry, even a mild-depression trajectory was associated with worse cognitive performance. Early intervention in participants with any degree of depression might benefit regarding preventing cognitive performance decline.
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Affiliation(s)
- Zheran Liu
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yonglin Su
- West China Hospital, Sichuan University, Chengdu, China
| | - Rendong Huang
- School of Nursing, Hangzhou Medical College, Hangzhou, China
| | - Ruidan Li
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhigong Wei
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Ling He
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yiyan Pei
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Yu Min
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Xiaolin Hu
- West China School of Nursing, West China Hospital, Sichuan University, Chengdu, China
| | - Xingchen Peng
- Department of Biotherapy and National Clinical Research Center for Geriatrics, Cancer Center, West China Hospital, Sichuan University, Chengdu, China
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Healthy Diet, Polygenic Risk Score, and Upper Gastrointestinal Cancer Risk: A Prospective Study from UK Biobank. Nutrients 2023; 15:nu15061344. [PMID: 36986074 PMCID: PMC10054787 DOI: 10.3390/nu15061344] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2023] [Revised: 03/04/2023] [Accepted: 03/07/2023] [Indexed: 03/12/2023] Open
Abstract
Dietary and genetic factors are considered to be associated with UGI cancer risk. However, examinations of the effect of healthy diet on UGI cancer risk and the extent to which healthy diet modifies the impact of genetic susceptibility on UGI cancer remains limited. Associations were analyzed through Cox regression of the UK Biobank data (n = 415,589). Healthy diet, based on “healthy diet score,” was determined according to fruit, vegetables, grains, fish, and meat consumption. We compared adherence to healthy diet and the risk of UGI cancer. We also constructed a UGI polygenic risk score (UGI-PRS) to assess the combined effect of genetic risk and healthy diet. For the results high adherence to healthy diet reduced 24% UGI cancer risk (HR high-quality diet: 0.76 (0.62–0.93), p = 0.009). A combined effect of high genetic risk and unhealthy diet on UGI cancer risk was observed, with HR reaching 1.60 (1.20–2.13, p = 0.001). Among participants with high genetic risk, the absolute five-year incidence risk of UGI cancer was significantly reduced, from 0.16% to 0.10%, by having a healthy diet. In summary, healthy diet decreased UGI cancer risk, and individuals with high genetic risk can attenuate UGI cancer risk by adopting a healthy diet.
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Maghsoodi MS, Khosroshahi NS, Beilankouhi EAV, Valilo M, Feizi MAH. VEGF-634G > C (rs2010963) Gene Polymorphism and High Risk of Breast Cancer in the Northwest of Iran. INDIAN JOURNAL OF GYNECOLOGIC ONCOLOGY 2023. [DOI: 10.1007/s40944-022-00648-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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