Literature DB >> 33886544

Using genetic variants to evaluate the causal effect of cholesterol lowering on head and neck cancer risk: A Mendelian randomization study.

Mark Gormley1,2,3, James Yarmolinsky1,3, Tom Dudding1,2,3, Kimberley Burrows1,3, Richard M Martin1,3,4, Steven Thomas2,4, Jessica Tyrrell5, Paul Brennan6, Miranda Pring2, Stefania Boccia7,8, Andrew F Olshan9, Brenda Diergaarde10, Rayjean J Hung11,12, Geoffrey Liu12,13, Danny Legge14, Eloiza H Tajara15, Patricia Severino16, Martin Lacko17, Andrew R Ness4, George Davey Smith1,3, Emma E Vincent1,3,14, Rebecca C Richmond1,3.   

Abstract

Head and neck squamous cell carcinoma (HNSCC), which includes cancers of the oral cavity and oropharynx, is a cause of substantial global morbidity and mortality. Strategies to reduce disease burden include discovery of novel therapies and repurposing of existing drugs. Statins are commonly prescribed for lowering circulating cholesterol by inhibiting HMG-CoA reductase (HMGCR). Results from some observational studies suggest that statin use may reduce HNSCC risk. We appraised the relationship of genetically-proxied cholesterol-lowering drug targets and other circulating lipid traits with oral (OC) and oropharyngeal (OPC) cancer risk using two-sample Mendelian randomization (MR). For the primary analysis, germline genetic variants in HMGCR, NPC1L1, CETP, PCSK9 and LDLR were used to proxy the effect of low-density lipoprotein cholesterol (LDL-C) lowering therapies. In secondary analyses, variants were used to proxy circulating levels of other lipid traits in a genome-wide association study (GWAS) meta-analysis of 188,578 individuals. Both primary and secondary analyses aimed to estimate the downstream causal effect of cholesterol lowering therapies on OC and OPC risk. The second sample for MR was taken from a GWAS of 6,034 OC and OPC cases and 6,585 controls (GAME-ON). Analyses were replicated in UK Biobank, using 839 OC and OPC cases and 372,016 controls and the results of the GAME-ON and UK Biobank analyses combined in a fixed-effects meta-analysis. We found limited evidence of a causal effect of genetically-proxied LDL-C lowering using HMGCR, NPC1L1, CETP or other circulating lipid traits on either OC or OPC risk. Genetically-proxied PCSK9 inhibition equivalent to a 1 mmol/L (38.7 mg/dL) reduction in LDL-C was associated with an increased risk of OC and OPC combined (OR 1.8 95%CI 1.2, 2.8, p = 9.31 x10-05), with good concordance between GAME-ON and UK Biobank (I2 = 22%). Effects for PCSK9 appeared stronger in relation to OPC (OR 2.6 95%CI 1.4, 4.9) than OC (OR 1.4 95%CI 0.8, 2.4). LDLR variants, resulting in genetically-proxied reduction in LDL-C equivalent to a 1 mmol/L (38.7 mg/dL), reduced the risk of OC and OPC combined (OR 0.7, 95%CI 0.5, 1.0, p = 0.006). A series of pleiotropy-robust and outlier detection methods showed that pleiotropy did not bias our findings. We found limited evidence for a role of cholesterol-lowering in OC and OPC risk, suggesting previous observational results may have been confounded. There was some evidence that genetically-proxied inhibition of PCSK9 increased risk, while lipid-lowering variants in LDLR, reduced risk of combined OC and OPC. This result suggests that the mechanisms of action of PCSK9 on OC and OPC risk may be independent of its cholesterol lowering effects; however, this was not supported uniformly across all sensitivity analyses and further replication of this finding is required.

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Year:  2021        PMID: 33886544      PMCID: PMC8096036          DOI: 10.1371/journal.pgen.1009525

Source DB:  PubMed          Journal:  PLoS Genet        ISSN: 1553-7390            Impact factor:   5.917


  72 in total

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Journal:  Alcohol Clin Exp Res       Date:  2019-05-03       Impact factor: 3.455

2.  LDlink: a web-based application for exploring population-specific haplotype structure and linking correlated alleles of possible functional variants.

Authors:  Mitchell J Machiela; Stephen J Chanock
Journal:  Bioinformatics       Date:  2015-07-02       Impact factor: 6.937

3.  Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood.

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4.  Avoidable flaws in observational analyses: an application to statins and cancer.

Authors:  Barbra A Dickerman; Xabier García-Albéniz; Roger W Logan; Spiros Denaxas; Miguel A Hernán
Journal:  Nat Med       Date:  2019-10-07       Impact factor: 53.440

5.  Protective effects of metformin, statins and anti-inflammatory drugs on head and neck cancer: A systematic review.

Authors:  Constanza Saka Herrán; Enric Jané-Salas; Albert Estrugo Devesa; José López-López
Journal:  Oral Oncol       Date:  2018-09-01       Impact factor: 5.337

6.  Association of Genetic Variants Related to CETP Inhibitors and Statins With Lipoprotein Levels and Cardiovascular Risk.

Authors:  Brian A Ference; John J P Kastelein; Henry N Ginsberg; M John Chapman; Stephen J Nicholls; Kausik K Ray; Chris J Packard; Ulrich Laufs; Robert D Brook; Clare Oliver-Williams; Adam S Butterworth; John Danesh; George Davey Smith; Alberico L Catapano; Marc S Sabatine
Journal:  JAMA       Date:  2017-09-12       Impact factor: 56.272

Review 7.  HPV in oropharyngeal cancer: the basics to know in clinical practice.

Authors:  S Elrefaey; M A Massaro; S Chiocca; F Chiesa; M Ansarin
Journal:  Acta Otorhinolaryngol Ital       Date:  2014-10       Impact factor: 2.124

8.  Variation in PCSK9 and HMGCR and Risk of Cardiovascular Disease and Diabetes.

Authors:  Brian A Ference; Jennifer G Robinson; Robert D Brook; Alberico L Catapano; M John Chapman; David R Neff; Szilard Voros; Robert P Giugliano; George Davey Smith; Sergio Fazio; Marc S Sabatine
Journal:  N Engl J Med       Date:  2016-12-01       Impact factor: 91.245

9.  Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA.

Authors:  Johannes Kettunen; Ayşe Demirkan; Peter Würtz; Harmen H M Draisma; Toomas Haller; Rajesh Rawal; Anika Vaarhorst; Antti J Kangas; Leo-Pekka Lyytikäinen; Matti Pirinen; René Pool; Antti-Pekka Sarin; Pasi Soininen; Taru Tukiainen; Qin Wang; Mika Tiainen; Tuulia Tynkkynen; Najaf Amin; Tanja Zeller; Marian Beekman; Joris Deelen; Ko Willems van Dijk; Tõnu Esko; Jouke-Jan Hottenga; Elisabeth M van Leeuwen; Terho Lehtimäki; Evelin Mihailov; Richard J Rose; Anton J M de Craen; Christian Gieger; Mika Kähönen; Markus Perola; Stefan Blankenberg; Markku J Savolainen; Aswin Verhoeven; Jorma Viikari; Gonneke Willemsen; Dorret I Boomsma; Cornelia M van Duijn; Johan Eriksson; Antti Jula; Marjo-Riitta Järvelin; Jaakko Kaprio; Andres Metspalu; Olli Raitakari; Veikko Salomaa; P Eline Slagboom; Melanie Waldenberger; Samuli Ripatti; Mika Ala-Korpela
Journal:  Nat Commun       Date:  2016-03-23       Impact factor: 14.919

10.  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

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  4 in total

1.  Effects of the Prior Use of Statins on Head and Neck Cancer Risk: A Hospital-Based Case-Control Study.

Authors:  Constanza Saka-Herrán; Enric Jané-Salas; Antonio Mano-Azul; Aina Torrejón-Moya; Albert Estrugo-Devesa; José López-López
Journal:  Pharmaceuticals (Basel)       Date:  2022-05-06

Review 2.  Repurposing Statin Drugs to Decrease Toxicity and Improve Survival Outcomes in Head and Neck Cancer.

Authors:  Richard O Bourguillon; William A Stokes; Jennifer Dorth; Nicole C Schmitt
Journal:  OTO Open       Date:  2021-12-11

Review 3.  The role of NPC1L1 in cancer.

Authors:  Renshuai Zhang; Jun Zeng; Wenjing Liu; Jingsen Meng; Chao Wang; Lingyu Shi; Shanbo Yang; Jing Chang; Dongming Xing
Journal:  Front Pharmacol       Date:  2022-08-10       Impact factor: 5.988

Review 4.  Perspectives of lipid metabolism reprogramming in head and neck squamous cell carcinoma: An overview.

Authors:  Xiangwan Miao; Beilei Wang; Kaili Chen; Rui Ding; Jichang Wu; Yi Pan; Peilin Ji; Bin Ye; Mingliang Xiang
Journal:  Front Oncol       Date:  2022-09-16       Impact factor: 5.738

  4 in total

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