Literature DB >> 33315530

DNA methylation ageing clocks and pancreatic cancer risk: pooled analysis of three prospective nested case-control studies.

Mei Chung1, Mengyuan Ruan1, Naisi Zhao1, Devin C Koestler2,3, Immaculata De Vivo4, Karl T Kelsey5,6, Dominique S Michaud1.   

Abstract

DNA methylation (DNAm) age may reflect age-related variations in biological changes and abnormalities related to ageing. DNAm age acceleration measures have been associated with a number of cancers, but to our knowledge, have not been examined in relation to pancreatic cancer risk or survival. DNAm levels in leukocytes of prediagnostic blood samples of 393 pancreatic cancer cases and 431 matched controls, pooled from three large prospective cohort studies, were used to estimate DNAm age, epigenetic age acceleration (AA), and intrinsic epigenetic age acceleration (IEAA) metrics. Logistic regression and Cox proportional hazard regression models were used to examine the relationship between the various AA and IEAA metrics and pancreatic cancer risk and survival, respectively. The results showed that pancreatic cancer risk was significantly increased across all IEAA metrics, ranging from 83% to 95% increased risk when comparing the third and highest quartiles to the lowest quartile of IEAA. Consistent with these findings, the results from multivariate spline regression analyses showed non-linear relationships between all three IEAA metrics and pancreatic cancer risk with apparent threshold effect including two turning points at minimal and at maximal risks, respectively. There is no evidence of a significant association between pancreatic cancer survival and any of the epigenetic AA or IEAA metrics. Our results indicate DNAm age acceleration, measured in blood prior to cancer diagnosis, is associated with an increased risk of pancreatic cancer in a complex nonlinear, dose-response manner. Epigenetic IEAA metrics may be a useful addition to current methods for pancreatic cancer risk prediction.

Entities:  

Keywords:  DNA methylation; Pancreatic cancer; epigenetic clock; prospective study; risk

Mesh:

Year:  2021        PMID: 33315530      PMCID: PMC8813079          DOI: 10.1080/15592294.2020.1861401

Source DB:  PubMed          Journal:  Epigenetics        ISSN: 1559-2294            Impact factor:   4.528


  30 in total

Review 1.  Aging and immune function: molecular mechanisms to interventions.

Authors:  Subramaniam Ponnappan; Usha Ponnappan
Journal:  Antioxid Redox Signal       Date:  2011-01-08       Impact factor: 8.401

2.  Physical activity, obesity, and risk for colon cancer and adenoma in men.

Authors:  E Giovannucci; A Ascherio; E B Rimm; G A Colditz; M J Stampfer; W C Willett
Journal:  Ann Intern Med       Date:  1995-03-01       Impact factor: 25.391

3.  Genome-wide methylation profiles reveal quantitative views of human aging rates.

Authors:  Gregory Hannum; Justin Guinney; Ling Zhao; Li Zhang; Guy Hughes; SriniVas Sadda; Brandy Klotzle; Marina Bibikova; Jian-Bing Fan; Yuan Gao; Rob Deconde; Menzies Chen; Indika Rajapakse; Stephen Friend; Trey Ideker; Kang Zhang
Journal:  Mol Cell       Date:  2012-11-21       Impact factor: 17.970

4.  Social adversity and epigenetic aging: a multi-cohort study on socioeconomic differences in peripheral blood DNA methylation.

Authors:  Giovanni Fiorito; Silvia Polidoro; Pierre-Antoine Dugué; Mika Kivimaki; Erica Ponzi; Giuseppe Matullo; Simonetta Guarrera; Manuela B Assumma; Panagiotis Georgiadis; Soterios A Kyrtopoulos; Vittorio Krogh; Domenico Palli; Salvatore Panico; Carlotta Sacerdote; Rosario Tumino; Marc Chadeau-Hyam; Silvia Stringhini; Gianluca Severi; Allison M Hodge; Graham G Giles; Riccardo Marioni; Richard Karlsson Linnér; Aisling M O'Halloran; Rose A Kenny; Richard Layte; Laura Baglietto; Oliver Robinson; Cathal McCrory; Roger L Milne; Paolo Vineis
Journal:  Sci Rep       Date:  2017-11-24       Impact factor: 4.379

5.  Obesity accelerates epigenetic aging in middle-aged but not in elderly individuals.

Authors:  Tapio Nevalainen; Laura Kananen; Saara Marttila; Juulia Jylhävä; Nina Mononen; Mika Kähönen; Olli T Raitakari; Antti Hervonen; Marja Jylhä; Terho Lehtimäki; Mikko Hurme
Journal:  Clin Epigenetics       Date:  2017-02-14       Impact factor: 6.551

6.  Epigenetic clock analysis of diet, exercise, education, and lifestyle factors.

Authors:  Austin Quach; Morgan E Levine; Toshiko Tanaka; Ake T Lu; Brian H Chen; Luigi Ferrucci; Beate Ritz; Stefania Bandinelli; Marian L Neuhouser; Jeannette M Beasley; Linda Snetselaar; Robert B Wallace; Philip S Tsao; Devin Absher; Themistocles L Assimes; James D Stewart; Yun Li; Lifang Hou; Andrea A Baccarelli; Eric A Whitsel; Steve Horvath
Journal:  Aging (Albany NY)       Date:  2017-02-14       Impact factor: 5.682

7.  An epigenetic biomarker of aging for lifespan and healthspan.

Authors:  Morgan E Levine; Ake T Lu; Austin Quach; Brian H Chen; Themistocles L Assimes; Stefania Bandinelli; Lifang Hou; Andrea A Baccarelli; James D Stewart; Yun Li; Eric A Whitsel; James G Wilson; Alex P Reiner; Abraham Aviv; Kurt Lohman; Yongmei Liu; Luigi Ferrucci; Steve Horvath
Journal:  Aging (Albany NY)       Date:  2018-04-18       Impact factor: 5.682

8.  DNA methylation arrays as surrogate measures of cell mixture distribution.

Authors:  Eugene Andres Houseman; William P Accomando; Devin C Koestler; Brock C Christensen; Carmen J Marsit; Heather H Nelson; John K Wiencke; Karl T Kelsey
Journal:  BMC Bioinformatics       Date:  2012-05-08       Impact factor: 3.169

Review 9.  DNA methylation in peripheral blood: a potential biomarker for cancer molecular epidemiology.

Authors:  Lian Li; Ji-Yeob Choi; Kyoung-Mu Lee; Hyuna Sung; Sue K Park; Isao Oze; Kai-Feng Pan; Wei-Cheng You; Ying-Xuan Chen; Jing-Yuan Fang; Keitaro Matsuo; Woo Ho Kim; Yasuhito Yuasa; Daehee Kang
Journal:  J Epidemiol       Date:  2012-08-04       Impact factor: 3.211

10.  DNA methylation age of blood predicts future onset of lung cancer in the women's health initiative.

Authors:  Morgan E Levine; H Dean Hosgood; Brian Chen; Devin Absher; Themistocles Assimes; Steve Horvath
Journal:  Aging (Albany NY)       Date:  2015-09       Impact factor: 5.682

View more
  5 in total

1.  The expression of m6A regulators correlated with the immune microenvironment plays an important role in the prognosis of pancreatic ductal adenocarcinoma.

Authors:  Yutong Yao; Le Luo; Guangming Xiang; Junjie Xiong; Nengwen Ke; Chunlu Tan; Yonghua Chen; Xubao Liu
Journal:  Gland Surg       Date:  2022-01

2.  Biological Aging Measures Based on Blood DNA Methylation and Risk of Cancer: A Prospective Study.

Authors:  Pierre-Antoine Dugué; Julie K Bassett; Ee Ming Wong; JiHoon E Joo; Shuai Li; Chenglong Yu; Daniel F Schmidt; Enes Makalic; Nicole Wong Doo; Daniel D Buchanan; Allison M Hodge; Dallas R English; John L Hopper; Graham G Giles; Melissa C Southey; Roger L Milne
Journal:  JNCI Cancer Spectr       Date:  2020-11-16

Review 3.  Cancer Treatment-Induced Accelerated Aging in Cancer Survivors: Biology and Assessment.

Authors:  Shuo Wang; Anna Prizment; Bharat Thyagarajan; Anne Blaes
Journal:  Cancers (Basel)       Date:  2021-01-23       Impact factor: 6.639

4.  A Pilot Study of Blood-Based Methylation Markers Associated With Pancreatic Cancer.

Authors:  Rick J Jansen; Megan Orr; William R Bamlet; Gloria M Petersen
Journal:  Front Genet       Date:  2022-03-14       Impact factor: 4.599

5.  GMQN: A Reference-Based Method for Correcting Batch Effects and Probe Bias in HumanMethylation BeadChip.

Authors:  Zhuang Xiong; Mengwei Li; Yingke Ma; Rujiao Li; Yiming Bao
Journal:  Front Genet       Date:  2022-01-07       Impact factor: 4.599

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.