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Elevated Platelet Count Appears to Be Causally Associated with Increased Risk of Lung Cancer: A Mendelian Randomization Analysis.


ABSTRACT:

Background

Platelets are a critical element in coagulation and inflammation, and activated platelets are linked to cancer risk through diverse mechanisms. However, a causal relationship between platelets and risk of lung cancer remains unclear.

Methods

We performed single and combined multiple instrumental variable Mendelian randomization analysis by an inverse-weighted method, in addition to a series of sensitivity analyses. Summary data for associations between SNPs and platelet count are from a recent publication that included 48,666 Caucasian Europeans, and the International Lung Cancer Consortium and Transdisciplinary Research in Cancer of the Lung data consisting of 29,266 cases and 56,450 controls to analyze associations between candidate SNPs and lung cancer risk.

Results

Multiple instrumental variable analysis incorporating six SNPs showed a 62% increased risk of overall non-small cell lung cancer [NSCLC; OR, 1.62; 95% confidence interval (CI), 1.15-2.27; P = 0.005] and a 200% increased risk for small-cell lung cancer (OR, 3.00; 95% CI, 1.27-7.06; P = 0.01). Results showed only a trending association with NSCLC histologic subtypes, which may be due to insufficient sample size and/or weak effect size. A series of sensitivity analysis retained these findings.

Conclusions

Our findings suggest a causal relationship between elevated platelet count and increased risk of lung cancer and provide evidence of possible antiplatelet interventions for lung cancer prevention.

Impact

These findings provide a better understanding of lung cancer etiology and potential evidence for antiplatelet interventions for lung cancer prevention.

SUBMITTER: Zhu Y 

PROVIDER: S-EPMC7075698 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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Publications

Elevated Platelet Count Appears to Be Causally Associated with Increased Risk of Lung Cancer: A Mendelian Randomization Analysis.

Zhu Ying Y   Wei Yongyue Y   Zhang Ruyang R   Dong Xuesi X   Shen Sipeng S   Zhao Yang Y   Bai Jianling J   Albanes Demetrius D   Caporaso Neil E NE   Landi Maria Teresa MT   Zhu Bin B   Chanock Stephen J SJ   Gu Fangyi F   Lam Stephen S   Tsao Ming-Sound MS   Shepherd Frances A FA   Tardon Adonina A   Fernández-Somoano Ana A   Fernandez-Tardon Guillermo G   Chen Chu C   Barnett Matthew J MJ   Doherty Jennifer J   Bojesen Stig E SE   Johansson Mattias M   Brennan Paul P   McKay James D JD   Carreras-Torres Robert R   Muley Thomas T   Risch Angela A   Wichmann Heunz-Erich HE   Bickeboeller Heike H   Rosenberger Albert A   Rennert Gad G   Saliba Walid W   Arnold Susanne M SM   Field John K JK   Davies Michael P A MPA   Marcus Michael W MW   Wu Xifeng X   Ye Yuanqing Y   Le Marchand Loic L   Wilkens Lynne R LR   Melander Olle O   Manjer Jonas J   Brunnström Hans H   Hung Rayjean J RJ   Liu Geoffrey G   Brhane Yonathan Y   Kachuri Linda L   Andrew Angeline S AS   Duell Eric J EJ   Kiemeney Lambertus A LA   van der Heijden Erik Hfm EH   Haugen Aage A   Zienolddiny Shanbeh S   Skaug Vidar V   Grankvist Kjell K   Johansson Mikael M   Woll Penella J PJ   Cox Angela A   Taylor Fiona F   Teare Dawn M DM   Lazarus Philip P   Schabath Matthew B MB   Aldrich Melinda C MC   Houlston Richard S RS   McLaughlin John J   Stevens Victoria L VL   Shen Hongbing H   Hu Zhibin Z   Dai Juncheng J   Amos Christopher I CI   Han Younghun Y   Zhu Dakai D   Goodman Gary E GE   Chen Feng F   Christiani David C DC  

Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 20190130 5


<h4>Background</h4>Platelets are a critical element in coagulation and inflammation, and activated platelets are linked to cancer risk through diverse mechanisms. However, a causal relationship between platelets and risk of lung cancer remains unclear.<h4>Methods</h4>We performed single and combined multiple instrumental variable Mendelian randomization analysis by an inverse-weighted method, in addition to a series of sensitivity analyses. Summary data for associations between SNPs and platelet  ...[more]

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