Literature DB >> 31479898

Patterns of ovarian cancer and uterine cancer mortality and incidence in the contiguous USA.

Raid W Amin1, Ann M Ross2, Jonathan Lee3, Jonathan Guy3, Bunpen Stafford3.   

Abstract

The main objective is to investigate the geographical variation in ovarian cancer and uterine cancer mortality, and to test associations between some risk factors and these cancer types in the contiguous US for mortality and for incidence. The modern disease surveillance software SaTScan™ was used for a spatial cluster analysis to assess any observable geographical variation in ovarian and uterine cancer mortality rates and to identify and test for spatial clusters with elevated relative risk. The analyses were first completed using age adjusted cancer rates for ovarian cancer and for uterine cancer. The cancer data was then adjusted for the risk factors (or covariates) obesity rate, smoking rate, urban, poverty rate, college education rate, race, opioids mortality rate, and for arsenic intake from well water rate. All used data for cancer mortality were for 2000-2014 while incidence data were for 2011-2015. There exist seven significant mortality clusters of ovarian cancer, with large clusters in NW, NE and SE of the US, and there exist two large mortality clusters of uterine cancer in NE and Central US. Most risk factors studied for mortality and for incidence were significant at significance levels much lower than 0.05 for either of the two cancer types, except race for ovarian cancer mortality and arsenic for ovarian incidence. This study has identified several important factors, and these findings could be used for a more effective search for cancer prevention for uterine and ovarian cancer. LIMITATIONS OF THE STUDY: The accuracy of the data could not be controlled as data were downloaded from websites. While the mortality data was complete, the incidence data had counties with missing data. The data were obtained at the county resolution. No data were available on women who had one type of cancer and then had the second type of cancer later in life. Only purely spatial clusters were studied and no temporal analysis was done.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Cancer cluster; Cluster analysis; Epidemiology; United States

Mesh:

Substances:

Year:  2019        PMID: 31479898     DOI: 10.1016/j.scitotenv.2019.134128

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  4 in total

1.  Ovarian cancer in California: Guideline adherence, survival, and the impact of geographic location, 1996-2014.

Authors:  Carolina Villanueva; Jenny Chang; Argyrios Ziogas; Robert E Bristow; Verónica M Vieira
Journal:  Cancer Epidemiol       Date:  2020-10-03       Impact factor: 2.984

2.  Machine Learning Models of Arsenic in Private Wells Throughout the Conterminous United States As a Tool for Exposure Assessment in Human Health Studies.

Authors:  Melissa A Lombard; Molly Scannell Bryan; Daniel K Jones; Catherine Bulka; Paul M Bradley; Lorraine C Backer; Michael J Focazio; Debra T Silverman; Patricia Toccalino; Maria Argos; Matthew O Gribble; Joseph D Ayotte
Journal:  Environ Sci Technol       Date:  2021-03-17       Impact factor: 9.028

3.  International trends in ovarian cancer incidence from 1973 to 2012.

Authors:  Wende Hao; Yue Zhang; Zhefeng Li; Enjie Zhang; Shen Gao; Chenghong Yin; Wentao Yue
Journal:  Arch Gynecol Obstet       Date:  2021-02-22       Impact factor: 2.344

4.  TRPM7 silencing modulates glucose metabolic reprogramming to inhibit the growth of ovarian cancer by enhancing AMPK activation to promote HIF-1α degradation.

Authors:  Yongchang Chen; Lu Liu; Longzheng Xia; Nayiyuan Wu; Ying Wang; He Li; Xue Chen; Xiaoye Zhang; Zhaoyi Liu; Miaochen Zhu; Qianjin Liao; Jing Wang
Journal:  J Exp Clin Cancer Res       Date:  2022-01-31
  4 in total

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