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Brenner, Darren R.

https://orcid.org/0000-0002-3027-290X

Mayo Clinic

Alberta Health Services

Citations 2

A Review of the Application of Inflammatory Biomarkers in Epidemiologic Cancer Research
Brenner, Darren R. , Scherer, Dominique , Muir, Kenneth , Schildkraut, Joellen M. , Spitz, Margaret R., Goode, Ellen L. , Ulrich, Cornelia M. , Hung, Rayjean J., Hung, Rayjean J. , Boffetta, Paolo , Marchand, Loı̈c Le , Chan, Andrew T. , Hung, Rayjean J., Hung, Rayjean J , Muir, Kenneth

Cancer Epidemiology, Biomarkers & Prevention | June 25, 2014 | Volume: 23 | Issue: 9 | Pages: 1729-1751

10.1158/1055-9965.epi-14-0064 Get It

Abstract Inflammation is a facilitating process for multiple cancer types. It is believed to affect cancer development and progression through several etiologic pathways, including increased levels of DNA adduct formation, increased angiogenesis, and altered antiapoptotic signaling. This review highlights the application of inflammatory biomarkers in epidemiologic studies and discusses the various cellular mediators of inflammation characterizing the innate immune system response to infection and chronic insult from environmental factors. Included is a review of six classes of inflammation-related biomarkers: cytokines/chemokines, immune-related effectors, acute-phase proteins, reactive oxygen and nitrogen species, prostaglandins and cyclooxygenase-related factors, and mediators such as transcription factors and growth factors. For each of these biomarkers, we provide a brief overview of the etiologic role in the inflammation response and how they have been related to cancer etiology and progression within the literature. We provide a discussion of the common techniques available for quantification of each marker, including strengths, weaknesses, and potential pitfalls. Subsequently, we highlight a few under-studied measures to characterize the inflammatory response and their potential utility in epidemiologic studies of cancer. Finally, we suggest integrative methods for future studies to apply multifaceted approaches to examine the relationship between inflammatory markers and their roles in cancer development. Cancer Epidemiol Biomarkers Prev; 23(9); 1729–51. ©2014 AACR.
Abstract 4826: International Lung Cancer Consortium: Pooled analysis of previous lung diseases and lung cancer risk
Brenner, Darren R. , Bickeböller, Heike , Wichmann, Erich, Schwartz, Ann G. , Friis, Søren, Field, John K. , McLaughlin, John R., Lan, Qing , Park, Bernard J. , Hung, Rayjean J., Boffetta, Paolo , Duell, Eric J. , Rosenberger, Albert , Muscat, Joshua E. , Yang, Ping , Tjønneland, Anne , Marchand, Loı̈c Le , Zhang, Zuo‐Feng , Lazarus, Philip J. , McLaughlin, John R., Wiencke, John K. , Neri, Monica , Orlow, Irene , Hung, Rayjean J., Field, John K , Bickeböller, Heike

Cancer Research | February 25, 2011 | Volume: 70 | Issue: 8_Supplement | Pages: 4826-4826

10.1158/1538-7445.am10-4826 Get It

Abstract To clarify the role of previous lung diseases (PLDs) (chronic bronchitis, emphysema, pneumonia, tuberculosis, asbestosis and silicosis) in the development of lung cancer we conducted a pooled analysis in the International Lung Cancer Consortium (ILCCO). Data from 16 studies (9 population based case-control, 4 hospital based case-control, 2 mixed case-control and 1 cohort - 10 from North America, 5 from Europe and 1 from Asia) were pooled, including 24044 cases and 81256 controls. Study-specific effect estimates were derived using logistic regression models for case-control studies and Cox proportional hazards models for cohort studies adjusted for age, sex, education and pack-years of smoking. Effect estimates were then pooled using random effects models where summary effects for each of the PLDs were evaluated separately. Stratified analyses were conducted based on smoking status, histology and study design or control source. Heterogeneity was evaluated using the Cochrane Q statistic and Galbraith plots, and publication bias was evaluated using funnel plots as well as the Begg test. A previous history of emphysema conferred a relative risk (RR) of 2.17, 95% confidence interval (CI): 1.67-2.82 (from 15 studies, p-het<.001). A previous history of chronic bronchitis conferred a RR of 1.49, 95% CI: 1.33-1.60 (from 12 studies, p-het.=0.434). Tuberculosis was associated with a RR of 1.54, 95% CI: 1.19-1.99 (from 15 studies, p-het.=0.001). Both asbestosis (RR 2.51, 95% CI: 1.53-4.12 (from 7 studies, p-het=0.379)) and silicosis (RR 1.70, 95% CI: 1.15-2.54, (from 3 studies, p-het. p=0.476)) were also associated with lung cancer risk. When the outlying studies were removed, effect estimates changed minimally and heterogeneity was reduced. Findings were consistent in subgroup analyses by smoking status and histology (adenocarcinoma, squamous cell carcinoma and small cell lung cancer). Effect estimates among never smokers were for emphysema a RR of 2.21, 95% CI: 0.99-4.90 (from 8 studies), for chronic bronchitis 1.12, 95% CI: 0.78-1.62 (from 9 studies), for pneumonia 1.37, 95% CI: 1.10-1.70 (from 10 studies) and for tuberculosis 1.54, 95% CI: 0.99-2.39 (from 9 studies). In this analysis of data from multiple continents, PLDs were associated with an increased risk of lung cancer. The evidence among never smokers supports a direct relationship between previous lung diseases and lung cancer. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 4826.