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000178285 1001_ $$0P:(DE-He78)0644671d309776d45e0fc705d1156cac$$aSrour, Bernard$$b0$$eFirst author$$udkfz
000178285 245__ $$aAgeing-related markers and risks of cancer and cardiovascular disease: a prospective study in the EPIC-Heidelberg cohort.
000178285 260__ $$aDordrecht [u.a.]$$bSpringer Science + Business Media B.V.$$c2022
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000178285 500__ $$a#EA:C020#LA:C020# / 37, pages 49–65 (2022)
000178285 520__ $$aBiological age is an important risk factor for chronic diseases. We examined the associations between five markers of unhealthy ageing; Growth Differentiation Factor-15 (GDF-15), N-terminal pro-brain natriuretic peptide (NT-proBNP), glycated hemoglobin A1c (HbA1C), C-Reactive Protein (CRP) and cystatin-C; with risks of cancer and cardiovascular disease (CVD). We used a case-cohort design embedded in the EPIC-Heidelberg cohort, including a subcohort of 3792 participants along with 4867 incident cases of cancer and CVD. Hazard ratios (HRs) were computed and the strongest associations were used to build weighted multi-marker combinations, and their associations with cancer and CVD risks were tested. After adjusting for common confounders, we observed direct associations of GDF-15 with lung cancer risk, NT-proBNP with breast, prostate and colorectal cancers, HbA1C with lung, colorectal, and breast cancer risks, and CRP with lung and colorectal cancer risks. An inverse association was observed for GDF-15 and prostate cancer risk. We also found direct associations of all 5 markers with myocardial infarction (MI) risk, and of GDF-15, NT-proBNP, CRP and cystatin-C with stroke risk. A combination of the independently-associated markers showed a moderately strong association with the risks of cancer and CVD (HRQ4-Q1 ranged from 1.78[1.36, 2.34] for breast cancer, when combining NT-proBNP and HbA1C, to 2.87[2.15, 3.83] for MI when combining NT-proBNP, HbA1C, CRP and cystatin-C). This analysis suggests that combinations of biomarkers related to unhealthy ageing show strong associations with cancer risk, and corroborates published evidence on CVD risk. If confirmed in other studies, using these biomarkers could be useful for the identification of individuals at higher risk of age-related diseases.
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000178285 650_7 $$2Other$$aAgeing biomarkers
000178285 650_7 $$2Other$$aCancer risk
000178285 650_7 $$2Other$$aCardiovascular disease
000178285 650_7 $$2Other$$aCase-cohort
000178285 650_7 $$2Other$$aNT-proBNP
000178285 7001_ $$0P:(DE-He78)4b2dc91c9d1ac33a1c0e0777d0c1697a$$aKaaks, Rudolf$$b1$$udkfz
000178285 7001_ $$0P:(DE-He78)79ab945544e5bc017a2317b6146ed3aa$$aJohnson, Theron$$b2$$udkfz
000178285 7001_ $$0P:(DE-He78)f55fe2dee9fdef0b4db17187de23a9bf$$aHynes, Lucas Cory$$b3$$udkfz
000178285 7001_ $$0P:(DE-He78)0907a10ba1dc8f53f04907f54f6fdcfe$$aKühn, Tilman$$b4
000178285 7001_ $$0P:(DE-He78)fb68a9386399d72d84f7f34cfc6048b4$$aKatzke, Verena$$b5$$eLast author$$udkfz
000178285 773__ $$0PERI:(DE-600)2004992-4$$a10.1007/s10654-021-00828-3$$p49–65$$tEuropean journal of epidemiology$$v37$$x0393-2990$$y2022
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