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Wang M, Li Z, Lu J, Zhang L, Li Y, Zhang L. Spatial-temporal Bayesian accelerated failure time models for survival endpoints with applications to prostate cancer registry data. BMC Med Res Methodol 2024; 24:86. [PMID: 38589783 PMCID: PMC11003030 DOI: 10.1186/s12874-024-02201-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: 08/23/2023] [Accepted: 03/10/2024] [Indexed: 04/10/2024] Open
Abstract
Prostate cancer is the most common cancer after non-melanoma skin cancer and the second leading cause of cancer deaths in US men. Its incidence and mortality rates vary substantially across geographical regions and over time, with large disparities by race, geographic regions (i.e., Appalachia), among others. The widely used Cox proportional hazards model is usually not applicable in such scenarios owing to the violation of the proportional hazards assumption. In this paper, we fit Bayesian accelerated failure time models for the analysis of prostate cancer survival and take dependent spatial structures and temporal information into account by incorporating random effects with multivariate conditional autoregressive priors. In particular, we relax the proportional hazards assumption, consider flexible frailty structures in space and time, and also explore strategies for handling the temporal variable. The parameter estimation and inference are based on a Monte Carlo Markov chain technique under a Bayesian framework. The deviance information criterion is used to check goodness of fit and to select the best candidate model. Extensive simulations are performed to examine and compare the performances of models in different contexts. Finally, we illustrate our approach by using the 2004-2014 Pennsylvania Prostate Cancer Registry data to explore spatial-temporal heterogeneity in overall survival and identify significant risk factors.
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Affiliation(s)
- Ming Wang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA.
| | - Zheng Li
- Novartis Pharmaceuticals, East Hanover, NJ, USA
| | - Jun Lu
- Division of Epidemiology and Biostatistics, School of Public Health, University of Illinois Chicago, Chicago, IL, USA
| | - Lijun Zhang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
| | - Yimei Li
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA
| | - Liangliang Zhang
- Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA
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McDonald AC, Gernand J, Geyer NR, Wu H, Yang Y, Wang M. Ambient air exposures to arsenic and cadmium and overall and prostate cancer-specific survival among prostate cancer cases in Pennsylvania, 2004 to 2014. Cancer 2022; 128:1832-1839. [PMID: 35195279 DOI: 10.1002/cncr.34128] [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: 06/02/2021] [Revised: 01/16/2022] [Accepted: 01/18/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Exposures to arsenic (As) and cadmium (Cd) have been associated with higher prostate cancer (PC) mortality; however, these associations have been inconsistent. The authors investigated whether higher ambient air concentrations of As and Cd are associated with lower overall and PC-specific survival among PC cases in Pennsylvania. METHODS Incident PC cases of patients, aged 40 years or older, with a clinical diagnosis and nonmetastatic disease were identified in the 2004 to 2014 Pennsylvania Cancer Registry. Demographic, clinical, and pathologic information were extracted from the Pennsylvania Cancer Registry. The 3- and 5-year average and cumulative air concentrations of As and Cd were extracted from the Environmental Protection Agency's Toxics Release Inventory database. Spatial-temporal hierarchical accelerated failure time models were used to examine the associations between air concentrations of As and Cd and overall and PC-specific survival for the total population and stratified by geographical region defined by rurality and Appalachia status, after adjusting for confounders. RESULTS There were 78,914 PC cases included. Increasing 3- and 5-year average and cumulative air concentrations of As and Cd were significantly associated with lower overall and PC-specific survival among cases, after adjusting for confounders, for the total population, and stratified by geographical region for most of the estimates. CONCLUSIONS Data suggest that increasing ambient air exposures to As and Cd may play a role in overall and PC-specific mortality risk among PC cases. Exposures to As and Cd are modifiable and may provide insight into potential strategies to improve PC health outcomes. LAY SUMMARY Arsenic and cadmium exposures linked to increased prostate cancer deaths remain unclear. We investigated whether air levels of arsenic and cadmium reported to be released from industries decrease overall and prostate cancer-specific survival among prostate cancer cases identified in the 2004 to 2014 Pennsylvania Cancer Registry. Among the 78,914 prostate cancer cases, increasing air levels of arsenic and cadmium are found to be associated with lower overall and prostate cancer-specific survival for the total population and within rural and urban Appalachia and urban non-Appalachia counties in Pennsylvania. Reducing exposures to arsenic and cadmium have the potential to decrease prostate cancer deaths.
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Affiliation(s)
- Alicia C McDonald
- Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania.,Penn State Cancer Institute, Hershey, Pennsylvania
| | - Jeremy Gernand
- Department of Energy and Mineral Engineering, College of Earth and Mineral Sciences, Pennsylvania State University, University Park, Pennsylvania
| | - Nathaniel R Geyer
- Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania
| | - Hongke Wu
- Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania
| | - Yanxu Yang
- Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania
| | - Ming Wang
- Department of Public Health Sciences, College of Medicine, Pennsylvania State University, Hershey, Pennsylvania.,Penn State Cancer Institute, Hershey, Pennsylvania
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Montazeri M, Hoseini B, Firouraghi N, Kiani F, Raouf-Mobini H, Biabangard A, Dadashi A, Zolfaghari V, Ahmadian L, Eslami S, Bergquist R, Bagheri N, Kiani B. Spatio-temporal mapping of breast and prostate cancers in South Iran from 2014 to 2017. BMC Cancer 2020; 20:1170. [PMID: 33256668 PMCID: PMC7708260 DOI: 10.1186/s12885-020-07674-8] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Accepted: 11/22/2020] [Indexed: 12/11/2022] Open
Abstract
Background The most common gender-specific malignancies are cancers of the breast and the prostate. In developing countries, cancer screening of all at risk is impractical because of healthcare resource limitations. Thus, determining high-risk areas might be an important first screening step. This study explores incidence patterns of potential high-risk clusters of breast and prostate cancers in southern Iran. Methods This cross-sectional study was conducted in the province of Kerman, South Iran. Patient data were aggregated at the county and district levels calculating the incidence rate per 100,000 people both for cancers of the breast and the prostate. We used the natural-break classification with five classes to produce descriptive maps. A spatial clustering analysis (Anselin Local Moran’s I) was used to identify potential clusters and outliers in the pattern of these cancers from 2014 to 2017. Results There were 1350 breast cancer patients (including, 42 male cases) and 478 prostate cancer patients in the province of Kerman, Iran during the study period. After 45 years of age, the number of men with diagnosed prostate cancer increased similarly to that of breast cancer for women after 25 years of age. The age-standardised incidence rate of breast cancer for women showed an increase from 29.93 to 32.27 cases per 100,000 people and that of prostate cancer from 13.93 to 15.47 cases per 100,000 during 2014–2017. Cluster analysis at the county level identified high-high clusters of breast cancer in the north-western part of the province for all years studied, but the analysis at the district level showed high-high clusters for only two of the years. With regard to prostate cancer, cluster analysis at the county and district levels identified high-high clusters in this area of the province for two of the study years. Conclusions North-western Kerman had a significantly higher incidence rate of both breast and prostate cancer than the average, which should help in designing tailored screening and surveillance systems. Furthermore, this study generates new hypotheses regarding the potential relationship between increased incidence of cancers in certain geographical areas and environmental risk factors. Supplementary Information The online version contains supplementary material available at 10.1186/s12885-020-07674-8.
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Affiliation(s)
- Mahdieh Montazeri
- Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.,Health Information Technology, School of Management and Medical Information Science, Kerman University of Medical Sciences, Kerman, Iran
| | - Benyamin Hoseini
- Pharmaceutical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.,Department of Health Information Technology, Neyshabur University of Medical Sciences, Neyshabur, Iran
| | - Neda Firouraghi
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Fatemeh Kiani
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Hosein Raouf-Mobini
- Department of Health Information Technology, Faculty of Paramedicine, Mashhad University of Medical Science, Mashhad, Iran
| | - Adele Biabangard
- Department of Health Information Technology, Faculty of Paramedicine, Mashhad University of Medical Science, Mashhad, Iran
| | - Ali Dadashi
- Medical Records Department, Vali-e-asr Hospital, Zanjan University of Medical Sciences, Zanjan, Iran
| | - Vahideh Zolfaghari
- Department of Medical Educational Technology, Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Leila Ahmadian
- Medical Informatics Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran
| | - Saeid Eslami
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Robert Bergquist
- Ingerod, SE-454 94 Brastad, Sweden. Formerly UNICEF/UNDP/World Bank/WHO Special Programme for Research and Training in Tropical Diseases (TDR), World Health Organization, Geneva, Switzerland
| | - Nasser Bagheri
- Visualisation and Decision Analytics (VIDEA) Lab, Centre for Mental Health Research, Research School of Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia
| | - Behzad Kiani
- Department of Medical Informatics, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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