Literature DB >> 18519710

Cancer suppression at old age.

Charles Harding1, Francesco Pompei, Ellen E Lee, Richard Wilson.   

Abstract

Increased age is regularly linked with heightened cancer risk, but recent research suggests a flattening around age 80. We report that, independent of cancer site or time period, most incidence rates decrease in the more elderly and drop to or toward zero near the ceiling of human life span. For all major organ sites, male and female, we use 1979 to 2003 Surveillance, Epidemiology, and End Results registry records (8-26% of the U.S. population) to construct three sequential cross-sections at 10-year intervals, totaling 129 sets of age-specific cancer data. To compute incidence rates, we estimate older populations at risk with census counts and NIH life tables. This article provides both a minimal and a more comprehensive extension of Surveillance, Epidemiology, and End Results cancer rates to those above 85. Almost all cancers peak at age approximately 80. Generally, it seems that centenarians are asymptomatic or untargeted by cancers. We suggest that the best available justification for this pattern of incidence is a link between increased senescence and decreased proliferative potential among cancers. Then, thus far, as senescence may be a carcinogen, it might also be considered an anticarcinogen in the elderly. We model rising and falling incidence rates with a beta curve obtained by appending a linearly decreasing factor to the well-known Armitage-Doll multistage model of cancer. Taken at face value, the beta model implies that medical, diet, or lifestyle interventions restricting carcinogenesis ought to be examined for possible effects on longevity.

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Year:  2008        PMID: 18519710     DOI: 10.1158/0008-5472.CAN-07-1670

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  28 in total

1.  An age-period-cohort analysis of cancer incidence among the oldest old, Utah 1973-2002.

Authors:  Heidi A Hanson; Ken R Smith; Antoinette M Stroup; C Janna Harrell
Journal:  Popul Stud (Camb)       Date:  2014-11-14

2.  Understanding the unimodal distributions of cancer occurrence rates: it takes two factors for a cancer to occur.

Authors:  Shuang Qiu; Zheng An; Renbo Tan; Ping-An He; Jingjing Jing; Hongxia Li; Shuang Wu; Ying Xu
Journal:  Brief Bioinform       Date:  2021-07-20       Impact factor: 11.622

3.  Host age is a systemic regulator of gene expression impacting cancer progression.

Authors:  Afshin Beheshti; Sébastien Benzekry; J Tyson McDonald; Lili Ma; Michael Peluso; Philip Hahnfeldt; Lynn Hlatky
Journal:  Cancer Res       Date:  2015-03-02       Impact factor: 12.701

4.  Are incidence rates of adult leukemia in the United States significantly associated with birth cohort?

Authors:  Philip S Rosenberg; Katherine L Wilson; William F Anderson
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2012-10-12       Impact factor: 4.254

5.  A novel approach for analysis of the log-linear age-period-cohort model: application to lung cancer incidence.

Authors:  Tengiz Mdzinarishvili; Michael X Gleason; Simon Sherman
Journal:  Cancer Inform       Date:  2009-12-14

6.  Weibull-like Model of Cancer Development in Aging.

Authors:  Tengiz Mdzinarishvili; Simon Sherman
Journal:  Cancer Inform       Date:  2010-08-24

Review 7.  Colon cancer and the elderly: from screening to treatment in management of GI disease in the elderly.

Authors:  Peter R Holt; Peter Kozuch; Seetal Mewar
Journal:  Best Pract Res Clin Gastroenterol       Date:  2009       Impact factor: 3.043

Review 8.  Considering GH replacement for GH-deficient adults with a previous history of cancer: a conundrum for the clinician.

Authors:  Kevin C J Yuen; Anthony P Heaney; Vera Popovic
Journal:  Endocrine       Date:  2016-01-05       Impact factor: 3.633

Review 9.  Genome instability, cancer and aging.

Authors:  Alexander Y Maslov; Jan Vijg
Journal:  Biochim Biophys Acta       Date:  2009-03-31

10.  A Generalized Beta model for the age distribution of cancers: application to pancreatic and kidney cancer.

Authors:  Tengiz Mdzinarishvili; Michael X Gleason; Leo Kinarsky; Simon Sherman
Journal:  Cancer Inform       Date:  2009-08-04
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