Literature DB >> 19258470

Etiologic heterogeneity for cervical carcinoma by histopathologic type, using comparative age-period-cohort models.

Laura L Reimers1, William F Anderson, Philip S Rosenberg, Donald E Henson, Philip E Castle.   

Abstract

BACKGROUND: Cervical carcinomas comprise two main histopathologic types, squamous cell carcinomas and adenocarcinomas. Human papillomavirus (HPV) infections are causative for both types but the respective tumors may have different carcinogenic pathways.
METHODS: To assess potential etiologic heterogeneity of cervical cancer by histopathologic type, we examined invasive squamous cell carcinomas and adenocarcinoma cervical cancer incidence rates in the National Cancer Institute's Surveillance, Epidemiology, and End Results database. We complemented standard descriptive epidemiology with comparative age-period-cohort (APC) models fitted to each histopathologic type.
RESULTS: Squamous cell tumors (n=25,219) were nearly 5-fold more common than adenocarcinomas (n=5,451). Age-adjusted incidence trends decreased for squamous cell carcinomas but increased for adenocarcinomas. Cross-sectional age-specific incidence rates increased more rapidly for squamous cell carcinomas than adenocarcinomas in adolescents and young adults then leveled off for both types. APC models confirmed that secular trends and age-specific rates differed for the two types (P=0 for the null hypothesis of no difference). For squamous cell carcinoma, the APC "fitted" age-at-onset rate curve peaked before age 40 years then declined; for adenocarcinoma, the fitted curve increased rapidly until age 40 years then rose more slowly.
CONCLUSIONS: Despite the necessary role of HPV infection in both squamous cell carcinomas and adenocarcinomas of the cervix, secular trends and age-related natural histories differed for the two tumor types, consistent with etiologic heterogeneity. Future analytic and clinical studies should consider the interaction (effect modification) of HPV infection and other cervical carcinoma risk factors by histopathologic type, time, and age.

Entities:  

Mesh:

Year:  2009        PMID: 19258470     DOI: 10.1158/1055-9965.EPI-08-0965

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.254


  15 in total

1.  Declining rates of hepatocellular carcinoma in urban Shanghai: incidence trends in 1976-2005.

Authors:  Shan Gao; Wan-Shui Yang; Freddie Bray; Puthiery Va; Wei Zhang; Jing Gao; Yong-Bing Xiang
Journal:  Eur J Epidemiol       Date:  2011-12-10       Impact factor: 8.082

2.  Characteristics of 44 cervical cancers diagnosed following Pap-negative, high risk HPV-positive screening in routine clinical practice.

Authors:  Walter Kinney; Barbara Fetterman; J Thomas Cox; Thomas Lorey; Tracy Flanagan; Philip E Castle
Journal:  Gynecol Oncol       Date:  2011-01-26       Impact factor: 5.482

3.  Do selective estrogen receptor modulators treat cervical precancer and cancer? Time to pool data from relevant trials.

Authors:  Philip E Castle
Journal:  Int J Cancer       Date:  2011-02-15       Impact factor: 7.396

4.  A birth cohort analysis of the incidence of adenocarcinoma of the uterine cervix in the USA.

Authors:  Cairong Zhu; Bryan A Bassig; Yawei Zhang; Kunchong Shi; Peter Boyle; Ni Li; Tongzhang Zheng
Journal:  Eur J Cancer Prev       Date:  2015-05       Impact factor: 2.497

5.  Cervical cancer trends in the United States: a 35-year population-based analysis.

Authors:  Olusola Adegoke; Shalini Kulasingam; Beth Virnig
Journal:  J Womens Health (Larchmt)       Date:  2012-07-20       Impact factor: 2.681

6.  A web tool for age-period-cohort analysis of cancer incidence and mortality rates.

Authors:  Philip S Rosenberg; David P Check; William F Anderson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2014-08-21       Impact factor: 4.254

7.  Age-period-cohort models in cancer surveillance research: ready for prime time?

Authors:  Philip S Rosenberg; William F Anderson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2011-05-24       Impact factor: 4.254

8.  Proportional hazards models and age-period-cohort analysis of cancer rates.

Authors:  Philip S Rosenberg; William F Anderson
Journal:  Stat Med       Date:  2010-05-20       Impact factor: 2.373

9.  Rising melanoma incidence rates of the trunk among younger women in the United States.

Authors:  Porcia T Bradford; William F Anderson; Mark P Purdue; Alisa M Goldstein; Margaret A Tucker
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-09       Impact factor: 4.254

10.  Clinical human papillomavirus detection forecasts cervical cancer risk in women over 18 years of follow-up.

Authors:  Philip E Castle; Andrew G Glass; Brenda B Rush; David R Scott; Nicolas Wentzensen; Julia C Gage; Julie Buckland; Greg Rydzak; Attila T Lorincz; Sholom Wacholder
Journal:  J Clin Oncol       Date:  2012-07-30       Impact factor: 44.544

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.