Cargando…

Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis

BACKGROUND: Tumour-promoting inflammation is a “hallmark” of cancer and conventional epidemiological studies have reported links between various inflammatory markers and cancer risk. The causal nature of these relationships and, thus, the suitability of these markers as intervention targets for canc...

Descripción completa

Detalles Bibliográficos
Autores principales: Yarmolinsky, James, Robinson, Jamie W, Mariosa, Daniela, Karhunen, Ville, Huang, Jian, Dimou, Niki, Murphy, Neil, Burrows, Kimberley, Bouras, Emmanouil, Smith-Byrne, Karl, Lewis, Sarah J, Galesloot, Tessel E, Kiemeney, Lambertus A, Vermeulen, Sita, Martin, Paul, Albanes, Demetrius, Hou, Lifang, Newcomb, Polly A, White, Emily, Wolk, Alicja, Wu, Anna H, Marchand, Loïc Le, Phipps, Amanda I, Buchanan, Daniel D, Zhao, Sizheng Steven, Gill, Dipender, Chanock, Stephen J, Purdue, Mark P, Smith, George Davey, Brennan, Paul, Herzig, Karl-Heinz, Jarvelin, Marjo-Riitta, Dehghan, Abbas, Johansson, Mattias, Gunter, Marc J, Tsilidis, Kostas K, Martin, Richard M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187459/
https://www.ncbi.nlm.nih.gov/pubmed/37205426
http://dx.doi.org/10.1101/2023.05.04.23289196
_version_ 1785042741751709696
author Yarmolinsky, James
Robinson, Jamie W
Mariosa, Daniela
Karhunen, Ville
Huang, Jian
Dimou, Niki
Murphy, Neil
Burrows, Kimberley
Bouras, Emmanouil
Smith-Byrne, Karl
Lewis, Sarah J
Galesloot, Tessel E
Kiemeney, Lambertus A
Vermeulen, Sita
Martin, Paul
Albanes, Demetrius
Hou, Lifang
Newcomb, Polly A
White, Emily
Wolk, Alicja
Wu, Anna H
Marchand, Loïc Le
Phipps, Amanda I
Buchanan, Daniel D
Zhao, Sizheng Steven
Gill, Dipender
Chanock, Stephen J
Purdue, Mark P
Smith, George Davey
Brennan, Paul
Herzig, Karl-Heinz
Jarvelin, Marjo-Riitta
Dehghan, Abbas
Johansson, Mattias
Gunter, Marc J
Tsilidis, Kostas K
Martin, Richard M
author_facet Yarmolinsky, James
Robinson, Jamie W
Mariosa, Daniela
Karhunen, Ville
Huang, Jian
Dimou, Niki
Murphy, Neil
Burrows, Kimberley
Bouras, Emmanouil
Smith-Byrne, Karl
Lewis, Sarah J
Galesloot, Tessel E
Kiemeney, Lambertus A
Vermeulen, Sita
Martin, Paul
Albanes, Demetrius
Hou, Lifang
Newcomb, Polly A
White, Emily
Wolk, Alicja
Wu, Anna H
Marchand, Loïc Le
Phipps, Amanda I
Buchanan, Daniel D
Zhao, Sizheng Steven
Gill, Dipender
Chanock, Stephen J
Purdue, Mark P
Smith, George Davey
Brennan, Paul
Herzig, Karl-Heinz
Jarvelin, Marjo-Riitta
Dehghan, Abbas
Johansson, Mattias
Gunter, Marc J
Tsilidis, Kostas K
Martin, Richard M
author_sort Yarmolinsky, James
collection PubMed
description BACKGROUND: Tumour-promoting inflammation is a “hallmark” of cancer and conventional epidemiological studies have reported links between various inflammatory markers and cancer risk. The causal nature of these relationships and, thus, the suitability of these markers as intervention targets for cancer prevention is unclear. METHODS: We meta-analysed 6 genome-wide association studies of circulating inflammatory markers comprising 59,969 participants of European ancestry. We then used combined cis-Mendelian randomization and colocalisation analysis to evaluate the causal role of 66 circulating inflammatory markers in risk of 30 adult cancers in 338,162 cancer cases and up to 824,556 controls. Genetic instruments for inflammatory markers were constructed using genome-wide significant (P < 5.0 x 10(−8)) cis-acting SNPs (i.e. in or ±250 kb from the gene encoding the relevant protein) in weak linkage disequilibrium (LD, r(2) < 0.10). Effect estimates were generated using inverse-variance weighted random-effects models and standard errors were inflated to account for weak LD between variants with reference to the 1000 Genomes Phase 3 CEU panel. A false discovery rate (FDR)-corrected P-value (“q-value”) < 0.05 was used as a threshold to define “strong evidence” to support associations and 0.05 ≤ q-value < 0.20 to define “suggestive evidence”. A colocalisation posterior probability (PPH(4)) > 70% was employed to indicate support for shared causal variants across inflammatory markers and cancer outcomes. RESULTS: We found strong evidence to support an association of genetically-proxied circulating pro-adrenomedullin concentrations with increased breast cancer risk (OR 1.19, 95% CI 1.10-1.29, q-value=0.033, PPH(4)=84.3%) and suggestive evidence to support associations of interleukin-23 receptor concentrations with increased pancreatic cancer risk (OR 1.42, 95% CI 1.20-1.69, q-value=0.055, PPH(4)=73.9%), prothrombin concentrations with decreased basal cell carcinoma risk (OR 0.66, 95% CI 0.53-0.81, q-value=0.067, PPH(4)=81.8%), macrophage migration inhibitory factor concentrations with increased bladder cancer risk (OR 1.14, 95% CI 1.05-1.23, q-value=0.072, PPH(4)=76.1%), and interleukin-1 receptor-like 1 concentrations with decreased triple-negative breast cancer risk (OR 0.92, 95% CI 0.88-0.97, q-value=0.15), PPH(4)=85.6%). For 22 of 30 cancer outcomes examined, there was little evidence (q-value ≥ 0.20) that any of the 66 circulating inflammatory markers examined were associated with cancer risk. CONCLUSION: Our comprehensive joint Mendelian randomization and colocalisation analysis of the role of circulating inflammatory markers in cancer risk identified potential roles for 5 circulating inflammatory markers in risk of 5 site-specific cancers. Contrary to reports from some prior conventional epidemiological studies, we found little evidence of association of circulating inflammatory markers with the majority of site-specific cancers evaluated.
format Online
Article
Text
id pubmed-10187459
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Cold Spring Harbor Laboratory
record_format MEDLINE/PubMed
spelling pubmed-101874592023-05-17 Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis Yarmolinsky, James Robinson, Jamie W Mariosa, Daniela Karhunen, Ville Huang, Jian Dimou, Niki Murphy, Neil Burrows, Kimberley Bouras, Emmanouil Smith-Byrne, Karl Lewis, Sarah J Galesloot, Tessel E Kiemeney, Lambertus A Vermeulen, Sita Martin, Paul Albanes, Demetrius Hou, Lifang Newcomb, Polly A White, Emily Wolk, Alicja Wu, Anna H Marchand, Loïc Le Phipps, Amanda I Buchanan, Daniel D Zhao, Sizheng Steven Gill, Dipender Chanock, Stephen J Purdue, Mark P Smith, George Davey Brennan, Paul Herzig, Karl-Heinz Jarvelin, Marjo-Riitta Dehghan, Abbas Johansson, Mattias Gunter, Marc J Tsilidis, Kostas K Martin, Richard M medRxiv Article BACKGROUND: Tumour-promoting inflammation is a “hallmark” of cancer and conventional epidemiological studies have reported links between various inflammatory markers and cancer risk. The causal nature of these relationships and, thus, the suitability of these markers as intervention targets for cancer prevention is unclear. METHODS: We meta-analysed 6 genome-wide association studies of circulating inflammatory markers comprising 59,969 participants of European ancestry. We then used combined cis-Mendelian randomization and colocalisation analysis to evaluate the causal role of 66 circulating inflammatory markers in risk of 30 adult cancers in 338,162 cancer cases and up to 824,556 controls. Genetic instruments for inflammatory markers were constructed using genome-wide significant (P < 5.0 x 10(−8)) cis-acting SNPs (i.e. in or ±250 kb from the gene encoding the relevant protein) in weak linkage disequilibrium (LD, r(2) < 0.10). Effect estimates were generated using inverse-variance weighted random-effects models and standard errors were inflated to account for weak LD between variants with reference to the 1000 Genomes Phase 3 CEU panel. A false discovery rate (FDR)-corrected P-value (“q-value”) < 0.05 was used as a threshold to define “strong evidence” to support associations and 0.05 ≤ q-value < 0.20 to define “suggestive evidence”. A colocalisation posterior probability (PPH(4)) > 70% was employed to indicate support for shared causal variants across inflammatory markers and cancer outcomes. RESULTS: We found strong evidence to support an association of genetically-proxied circulating pro-adrenomedullin concentrations with increased breast cancer risk (OR 1.19, 95% CI 1.10-1.29, q-value=0.033, PPH(4)=84.3%) and suggestive evidence to support associations of interleukin-23 receptor concentrations with increased pancreatic cancer risk (OR 1.42, 95% CI 1.20-1.69, q-value=0.055, PPH(4)=73.9%), prothrombin concentrations with decreased basal cell carcinoma risk (OR 0.66, 95% CI 0.53-0.81, q-value=0.067, PPH(4)=81.8%), macrophage migration inhibitory factor concentrations with increased bladder cancer risk (OR 1.14, 95% CI 1.05-1.23, q-value=0.072, PPH(4)=76.1%), and interleukin-1 receptor-like 1 concentrations with decreased triple-negative breast cancer risk (OR 0.92, 95% CI 0.88-0.97, q-value=0.15), PPH(4)=85.6%). For 22 of 30 cancer outcomes examined, there was little evidence (q-value ≥ 0.20) that any of the 66 circulating inflammatory markers examined were associated with cancer risk. CONCLUSION: Our comprehensive joint Mendelian randomization and colocalisation analysis of the role of circulating inflammatory markers in cancer risk identified potential roles for 5 circulating inflammatory markers in risk of 5 site-specific cancers. Contrary to reports from some prior conventional epidemiological studies, we found little evidence of association of circulating inflammatory markers with the majority of site-specific cancers evaluated. Cold Spring Harbor Laboratory 2023-05-05 /pmc/articles/PMC10187459/ /pubmed/37205426 http://dx.doi.org/10.1101/2023.05.04.23289196 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Yarmolinsky, James
Robinson, Jamie W
Mariosa, Daniela
Karhunen, Ville
Huang, Jian
Dimou, Niki
Murphy, Neil
Burrows, Kimberley
Bouras, Emmanouil
Smith-Byrne, Karl
Lewis, Sarah J
Galesloot, Tessel E
Kiemeney, Lambertus A
Vermeulen, Sita
Martin, Paul
Albanes, Demetrius
Hou, Lifang
Newcomb, Polly A
White, Emily
Wolk, Alicja
Wu, Anna H
Marchand, Loïc Le
Phipps, Amanda I
Buchanan, Daniel D
Zhao, Sizheng Steven
Gill, Dipender
Chanock, Stephen J
Purdue, Mark P
Smith, George Davey
Brennan, Paul
Herzig, Karl-Heinz
Jarvelin, Marjo-Riitta
Dehghan, Abbas
Johansson, Mattias
Gunter, Marc J
Tsilidis, Kostas K
Martin, Richard M
Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis
title Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis
title_full Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis
title_fullStr Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis
title_full_unstemmed Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis
title_short Association between circulating inflammatory markers and adult cancer risk: a Mendelian randomization analysis
title_sort association between circulating inflammatory markers and adult cancer risk: a mendelian randomization analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10187459/
https://www.ncbi.nlm.nih.gov/pubmed/37205426
http://dx.doi.org/10.1101/2023.05.04.23289196
work_keys_str_mv AT yarmolinskyjames associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT robinsonjamiew associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT mariosadaniela associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT karhunenville associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT huangjian associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT dimouniki associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT murphyneil associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT burrowskimberley associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT bourasemmanouil associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT smithbyrnekarl associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT lewissarahj associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT galesloottessele associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT kiemeneylambertusa associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT vermeulensita associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT martinpaul associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT albanesdemetrius associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT houlifang associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT newcombpollya associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT whiteemily associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT wolkalicja associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT wuannah associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT marchandloicle associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT phippsamandai associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT buchanandanield associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT zhaosizhengsteven associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT gilldipender associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT chanockstephenj associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT purduemarkp associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT smithgeorgedavey associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT brennanpaul associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT herzigkarlheinz associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT jarvelinmarjoriitta associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT dehghanabbas associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT johanssonmattias associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT guntermarcj associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT tsilidiskostask associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis
AT martinrichardm associationbetweencirculatinginflammatorymarkersandadultcancerriskamendelianrandomizationanalysis