Literature DB >> 21792885

Risk of prostate cancer is not associated with levels of C-reactive protein and other commonly used markers of inflammation.

Mieke Van Hemelrijck1, Ingmar Jungner, Göran Walldius, Hans Garmo, Elisa Binda, Adrian Hayday, Mats Lambe, Lars Holmberg, Niklas Hammar.   

Abstract

Most population-based studies studied the association between inflammation and prostate cancer (PCa) by assessing C-reactive protein (CRP). As these findings have shown inconsistent results, we aimed to also study different markers that have been commonly taken as indications of inflammation. A cohort based on four groups of men (n = 34,891), according to age at cohort entry (45, 55, 65 and 75 years), with measurements of glucose, triglycerides, total cholesterol, haptoglobin, albumin, hemoglobin and leukocytes were selected from the Apolipoprotein Mortality Risk database. A total of 17,937 men had measurements of non-high-sensitive CRP. Multivariate Cox proportional hazard models were used to analyze associations between inflammatory markers and PCa. A total of 49 of 12,063 men developed PCa in the age 45 group, whereas 207 of 9,940, 472 of 8,266 and 276 of 3,618 were diagnosed in the age 55, 65 and 75 groups, respectively. Mean follow-up time was 7.5 years (SD: 3.9). No markers showed an association with PCa risk, nor was there a trend by quartiles or an indication for different PCa risks by strata of hypercholesterolemia, hyperglycemia and hypertriglyceridemia status. The studied markers were not found to be associated with PCa risk. These null findings might be due to methodological issues; however, it is unlikely that strong and long-lasting associations between inflammation and PCa risk were missed as this was a large database with long follow-up. This indicates need for international consensus on appropriate inflammatory markers in the context of cancer that may be practically applied in large studies.
Copyright © 2011 UICC.

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Year:  2011        PMID: 21792885     DOI: 10.1002/ijc.25773

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  15 in total

1.  Genetic variation across C-reactive protein and risk of prostate cancer.

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Journal:  Prostate       Date:  2014-05-20       Impact factor: 4.104

2.  Aspirin Use Reduces the Risk of Aggressive Prostate Cancer and Disease Recurrence in African-American Men.

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Review 3.  C-reactive protein as a biomarker for urological cancers.

Authors:  Kazutaka Saito; Kazunori Kihara
Journal:  Nat Rev Urol       Date:  2011-10-25       Impact factor: 14.432

4.  Plasma C-reactive protein, genetic risk score, and risk of common cancers in the Atherosclerosis Risk in Communities study.

Authors:  Anna E Prizment; Aaron R Folsom; Jill Dreyfus; Kristin E Anderson; Kala Visvanathan; Corinne E Joshu; Elizabeth A Platz; James S Pankow
Journal:  Cancer Causes Control       Date:  2013-09-14       Impact factor: 2.506

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Journal:  Am J Epidemiol       Date:  2012-11-20       Impact factor: 4.897

6.  Metabolic complications and increased cardiovascular risks as a result of androgen deprivation therapy in men with prostate cancer.

Authors:  Bhavin R Shastri; Subhashini Yaturu
Journal:  Prostate Cancer       Date:  2011-08-01

7.  Association of the neutrophil-to-lymphocyte ratio and prostate cancer detection rates in patients via contemporary multi-core prostate biopsy.

Authors:  Jong Jin Oh; Ohsung Kwon; Jung Keun Lee; Seok-Soo Byun; Sang Eun Lee; Sangchul Lee; Sung Kyu Hong
Journal:  Asian J Androl       Date:  2016 Nov-Dec       Impact factor: 3.285

8.  Serum inflammatory markers and colorectal cancer risk and survival.

Authors:  Sundeep Ghuman; Mieke Van Hemelrijck; Hans Garmo; Lars Holmberg; Håkan Malmström; Mats Lambe; Niklas Hammar; Göran Walldius; Ingmar Jungner; Wahyu Wulaningsih
Journal:  Br J Cancer       Date:  2017-04-04       Impact factor: 7.640

9.  Association between pre-diagnostic serum albumin and cancer risk: Results from a prospective population-based study.

Authors:  Zhuoyu Yang; Yadi Zheng; Zheng Wu; Yan Wen; Gang Wang; Shuohua Chen; Fengwei Tan; Jiang Li; Shouling Wu; Min Dai; Ni Li; Jie He
Journal:  Cancer Med       Date:  2021-05-26       Impact factor: 4.452

10.  Metabolic serum biomarkers for the prediction of cancer: a follow-up of the studies conducted in the Swedish AMORIS study.

Authors:  Cecilia Bosco; Wahyu Wulaningsih; Jennifer Melvin; Aida Santaolalla; Mario De Piano; Rhonda Arthur; Mieke Van Hemelrijck
Journal:  Ecancermedicalscience       Date:  2015-07-23
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