Literature DB >> 34324065

Genetic evidence for the causal association between programmed death-ligand 1 and lung cancer.

Zhao Yang1, Rong Yu2, Wei Deng2, Weihu Wang3.   

Abstract

PD-1/PD-L1 might have a causal role in operating lung cancer risk. However, such an association has not been investigated in the general population. We assessed whether PD-L1 has an independent effect on lung cancer risk using two-sample Mendelian randomization (MR) based on a proteomic genome-wide association study (3301 health participants) of European ancestry and the International Lung cancer Consortium (11,348 cases and 15,861 controls). Negative control analyses using chronic obstructive pulmonary disease (COPD)/asthma/interstitial lung disease (ILD)-related infection (~ 22,730 cases and ~ 112,908 controls) were also conducted to enhance the credibility of the selected instruments and MR-based estimates. This study found that genetically predicted PD-1/PD-L1 were not significantly associated with lung cancer after adjustment for multiplicity. However, suggestive evidence was observed for the total effect of higher PD-1 with decreased lung cancer risk and the direct effect (i.e., not mediated by PD-1 and smoking) of lower PD-L1 with decreased lung cancer risk. No association between genetically predicted PD-L1 and COPD/asthma/ILD related infection was noted. Taken together, our findings suggest that interventions decreasing PD-L1 might have a role in lowering lung cancer risk.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Cis protein quantitative trait loci; Lung cancer; Mendelian randomization; Negative control; PD-L1

Year:  2021        PMID: 34324065     DOI: 10.1007/s00432-021-03740-1

Source DB:  PubMed          Journal:  J Cancer Res Clin Oncol        ISSN: 0171-5216            Impact factor:   4.553


  39 in total

1.  Calculating statistical power in Mendelian randomization studies.

Authors:  Marie-Jo A Brion; Konstantin Shakhbazov; Peter M Visscher
Journal:  Int J Epidemiol       Date:  2013-10       Impact factor: 7.196

2.  Nivolumab versus Docetaxel in Advanced Squamous-Cell Non-Small-Cell Lung Cancer.

Authors:  Julie Brahmer; Karen L Reckamp; Paul Baas; Lucio Crinò; Wilfried E E Eberhardt; Elena Poddubskaya; Scott Antonia; Adam Pluzanski; Everett E Vokes; Esther Holgado; David Waterhouse; Neal Ready; Justin Gainor; Osvaldo Arén Frontera; Libor Havel; Martin Steins; Marina C Garassino; Joachim G Aerts; Manuel Domine; Luis Paz-Ares; Martin Reck; Christine Baudelet; Christopher T Harbison; Brian Lestini; David R Spigel
Journal:  N Engl J Med       Date:  2015-05-31       Impact factor: 91.245

3.  Nivolumab versus Docetaxel in Advanced Nonsquamous Non-Small-Cell Lung Cancer.

Authors:  Hossein Borghaei; Luis Paz-Ares; Leora Horn; David R Spigel; Martin Steins; Neal E Ready; Laura Q Chow; Everett E Vokes; Enriqueta Felip; Esther Holgado; Fabrice Barlesi; Martin Kohlhäufl; Oscar Arrieta; Marco Angelo Burgio; Jérôme Fayette; Hervé Lena; Elena Poddubskaya; David E Gerber; Scott N Gettinger; Charles M Rudin; Naiyer Rizvi; Lucio Crinò; George R Blumenschein; Scott J Antonia; Cécile Dorange; Christopher T Harbison; Friedrich Graf Finckenstein; Julie R Brahmer
Journal:  N Engl J Med       Date:  2015-09-27       Impact factor: 91.245

4.  Durvalumab after Chemoradiotherapy in Stage III Non-Small-Cell Lung Cancer.

Authors:  Scott J Antonia; Augusto Villegas; Davey Daniel; David Vicente; Shuji Murakami; Rina Hui; Takashi Yokoi; Alberto Chiappori; Ki H Lee; Maike de Wit; Byoung C Cho; Maryam Bourhaba; Xavier Quantin; Takaaki Tokito; Tarek Mekhail; David Planchard; Young-Chul Kim; Christos S Karapetis; Sandrine Hiret; Gyula Ostoros; Kaoru Kubota; Jhanelle E Gray; Luis Paz-Ares; Javier de Castro Carpeño; Catherine Wadsworth; Giovanni Melillo; Haiyi Jiang; Yifan Huang; Phillip A Dennis; Mustafa Özgüroğlu
Journal:  N Engl J Med       Date:  2017-09-08       Impact factor: 91.245

5.  Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.

Authors:  Freddie Bray; Jacques Ferlay; Isabelle Soerjomataram; Rebecca L Siegel; Lindsey A Torre; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2018-09-12       Impact factor: 508.702

6.  Genomic variation. Impact of regulatory variation from RNA to protein.

Authors:  Alexis Battle; Zia Khan; Sidney H Wang; Amy Mitrano; Michael J Ford; Jonathan K Pritchard; Yoav Gilad
Journal:  Science       Date:  2014-12-18       Impact factor: 47.728

7.  Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects.

Authors:  Stephen Burgess; Simon G Thompson
Journal:  Am J Epidemiol       Date:  2015-01-27       Impact factor: 4.897

8.  Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression.

Authors:  Jack Bowden; George Davey Smith; Stephen Burgess
Journal:  Int J Epidemiol       Date:  2015-06-06       Impact factor: 7.196

9.  Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.

Authors:  Jack Bowden; George Davey Smith; Philip C Haycock; Stephen Burgess
Journal:  Genet Epidemiol       Date:  2016-04-07       Impact factor: 2.135

10.  Interpreting findings from Mendelian randomization using the MR-Egger method.

Authors:  Stephen Burgess; Simon G Thompson
Journal:  Eur J Epidemiol       Date:  2017-05-19       Impact factor: 12.434

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