Literature DB >> 33146688

Assessment of Age, Period, and Birth Cohort Effects and Trends in Merkel Cell Carcinoma Incidence in the United States.

Daniel Jacobs1, Huang Huang2, Kelly Olino3,4, Sarah Weiss3,5, Harriet Kluger3,5, Benjamin L Judson3,6, Yawei Zhang2,3,7.   

Abstract

Importance: Merkel cell carcinoma is an aggressive, cutaneous, neuroendocrine cancer that is increasing in incidence. Understanding why the incidence of Merkel cell carcinoma is increasing through underlying factors, such as age effects, calendar period of diagnosis effects, and birth cohort effects, can help guide resource allocation and design of screening programs.
Objectives: To evaluate the associations of patient age, calendar period of diagnosis, and birth cohort with the increasing incidence of Merkel cell carcinoma and to provide new incidence projections to 2030. Design, Setting, and Participants: A cross-sectional retrospective study with age-period-cohort analysis and incidence projection modeling using data from the Surveillance, Epidemiology, and End Results Program database of 9 registries from 1987 to 2016 was conducted among 3720 patients with Merkel cell carcinoma. Statistical analysis was conducted from October 20, 2019, to July 29, 2020. Exposures: Age effects (ie, physiology), period of diagnosis effects (ie, changes in diagnostics and clinical awareness), and birth cohort effects (ie, environmental risk factors) over time were assessed. Main Outcomes and Measures: Incidence rates of Merkel cell carcinoma.
Results: Among the 3720 patients in the study (2200 male patients [59.1%]; median age, 77 years [interquartile range, 68-84 years]), during the period from 2012 to 2016, the age-adjusted Merkel cell carcinoma incidence rate was 0.66 per 100 000 (95% CI, 0.62-0.70), which represented a 3.5-times (95% CI, 3.0-4.2) increase from 1987 to 1991. The incidence of Merkel cell carcinoma increased with patient age across calendar periods and birth cohorts; the highest incidence rate was observed for those aged 85 years or older, with an age-adjusted rate from 2012 to 2016 of 14.6 per 100 000 for men and 5.5 per 100 000 for women. Although the birth cohort effect has continued to increase over time, the calendar period of diagnosis effect has started to plateau. It is projected that there will be 3023 new cases of Merkel cell carcinoma in 2020 and 5130 new cases in 2030, increased from an estimated 1933 cases in 2010. Conclusions and Relevance: The slowing down of the period effect (ie, changes in diagnostics and awareness) found in this longitudinal cohort study suggests that part of the initial increased incidence of Merkel cell carcinoma was associated with increased detection. However, the projected increase in incidence rate is likely associated with the aging population and increasing risk factor exposure in more recent birth cohorts.

Entities:  

Mesh:

Year:  2021        PMID: 33146688      PMCID: PMC7643047          DOI: 10.1001/jamadermatol.2020.4102

Source DB:  PubMed          Journal:  JAMA Dermatol        ISSN: 2168-6068            Impact factor:   10.282


  6 in total

1.  Assessment of age, period, and cohort effects of lung cancer incidence in Hong Kong and projection up to 2030 based on changing demographics.

Authors:  Jianqiang Du; Haifeng Sun; Yuying Sun; Jianfei Du; Wangnan Cao; Shengzhi Sun
Journal:  Am J Cancer Res       Date:  2021-12-15       Impact factor: 6.166

Review 2.  From Merkel Cell Polyomavirus Infection to Merkel Cell Carcinoma Oncogenesis.

Authors:  Nathan A Krump; Jianxin You
Journal:  Front Microbiol       Date:  2021-09-08       Impact factor: 6.064

3.  Effects of surgery on survival of patients aged 75 years or older with Merkel cell carcinoma.

Authors:  Kehui Ren; Xufeng Yin; Bingrong Zhou
Journal:  Cancer Med       Date:  2021-11-24       Impact factor: 4.452

4.  Merkel Cell Carcinoma: Changing Practice Patterns and Impact on Recurrence-Free and Overall Survival at a Single Institution and Nationally.

Authors:  Andrew Esposito; Daniel Jacobs; Stephan Ariyan; Anjela Galan; Harriet Kluger; James Clune; Sarah Weiss; Thuy Tran; Kelly Olino
Journal:  Ann Surg Oncol       Date:  2021-09-07       Impact factor: 5.344

5.  Bayesian Age-Period-Cohort Prediction of Mortality of Type 2 Diabetic Kidney Disease in China: A Modeling Study.

Authors:  Xiaoming Wu; Jianqiang Du; Linchang Li; Wangnan Cao; Shengzhi Sun
Journal:  Front Endocrinol (Lausanne)       Date:  2021-10-29       Impact factor: 5.555

6.  Clinical-Pathological Evaluation and Prognostic Analysis of 228 Merkel Cell Carcinomas Focusing on Tumor-Infiltrating Lymphocytes, MCPYV Infection and ALK Expression.

Authors:  Rebecca Senetta; Mauro Papotti; Federica Santoro; Francesca Maletta; Renato Parente; Jessica Fissore; Cristian Tampieri; Leonardo Santoro; Nadia Birocco; Franco Picciotto; Pietro Quaglino; Marco Volante; Sofia Asioli
Journal:  Endocr Pathol       Date:  2022-05-12       Impact factor: 4.056

  6 in total

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