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Record W4366543620 · doi:10.1016/j.ebiom.2023.104510

The association between genetically elevated polyunsaturated fatty acids and risk of cancer

2023· article· en· W4366543620 on OpenAlexaff
Philip Haycock, Maria Carolina Borges, Kimberley Burrows, Rozenn N. Lemaître, Stephen Burgess, Nikhil K. Khankari, Konstantinos K. Tsilidis, Tom R. Gaunt, Gibran Hemani, Jie Zheng, Thérèse Truong, Brenda M. Birmann, Tracy A. O’Mara, Amanda B. Spurdle, Mark M. Iles, Matthew H. Law, Susan L. Slager, Fatemeh Saberi Hosnijeh, Daniela Mariosa, Michelle Cotterchio, James R. Cerhan, Ulrike Peters, Stefan Enroth, Puya Gharahkhani, Loı̈c Le Marchand, Ann C. Williams, Robert Block, Christopher I. Amos, Rayjean J. Hung, Wei Zheng, Marc J. Gunter, George Davey Smith, Caroline L. Relton, Richard M. Martin, Nathan Tintle, Terri Rice, Iona Cheng, Mark A. Jenkins, Steve Gallinger, Alex J. Cornish, Amit Sud, Jayaram Vijayakrishnan, Margaret Wrensch, Mattias Johansson, Aaron D. Norman, Alison P. Klein, Alyssa Clay‐Gilmour, André Franke, Andres V Ardisson Korat, Bill Wheeler, Björn Nilsson, Caren E. Smith, Chew‐Kiat Heng, Ci Song, David Riadi, Elizabeth B. Claus, Eva Ellinghaus, Evgenia Ostroumova, Hosnijeh, Florent de Vathaire, Giovanni Cugliari, Giuseppe Matullo, Irene Oi‐Lin Ng, Jeanette E. Passow, Jia Nee Foo, Jiali Han, Jianjun Liu, Jill S. Barnholtz‐Sloan, Joellen M. Schildkraut, John M. Maris, Joseph L. Wiemels, Kari Hemminki, Keming Yang, Lambertus A Kiemeney, Lang Wu, Laufey T. Ámundadóttir, Marc‐Henri Stern, Marie-Christine Boutron, Mark P. Purdue, Martin Stanulla, Melissa L. Bondy, Mia M. Gaudet, Lenha Mobuchon, Nicola J. Camp, Pak C. Sham, Pascal Guénel, Paul Brennan, Philip R. Taylor, Quinn T. Ostrom, Rachael Z. Stolzenberg‐Solomon, Rajkumar Dorajoo, Richard Houlston, Robert B. Jenkins, Sharon J. Diskin, Sonja I. Berndt, Spiridon Tsavachidis, Stephen J. Channock, Tabitha A. Harrison, Tessel E. Galesloot, Ulf Gyllensten, Vijai Joseph, Y. Shi, Wenjian Yang, Yi Lin, Stephen K. Van Den Eeden

Bibliographic record

VenueEBioMedicine · 2023
Typearticle
Languageen
FieldNursing
TopicFatty Acid Research and Health
Canadian institutionsLunenfeld-Tanenbaum Research InstituteMount Sinai HospitalCancer Care OntarioPublic Health OntarioUniversity of Toronto
FundersNational Cancer InstituteLeeds Biomedical Research CentreMedical Research CouncilUniversity of Texas MD Anderson Cancer CenterNational Institutes of HealthInstitut National Du CancerNational Health and Medical Research CouncilUniversity of California, San FranciscoCancer Research UKUniversity of LiverpoolUniversity of BristolDepartment of Health and Social CareNational Institute for Health and Care ResearchNIHR Bristol Biomedical Research CentreUniversity Hospitals Bristol NHS Foundation TrustFondation ARC pour la Recherche sur le CancerWellcome TrustWorld Health OrganizationCentre International de Recherche sur le CancerSt. Jude Children's Research Hospital
KeywordsMendelian randomizationPolyunsaturated fatty acidOdds ratioColorectal cancerInternal medicineCancerOncologyEsophageal cancerBiologyMedicineConfidence intervalPhysiologyGastroenterologyGeneticsGenotypeFatty acidGeneGenetic variants

Abstract

fetched live from OpenAlex

Background The causal relevance of polyunsaturated fatty acids (PUFAs) for risk of site-specific cancers remains uncertain. Methods Using a Mendelian randomization (MR) framework, we assessed the causal relevance of PUFAs for risk of cancer in European and East Asian ancestry individuals. We defined the primary exposure as PUFA desaturase activity, proxied by rs174546 at the FADS locus. Secondary exposures were defined as omega 3 and omega 6 PUFAs that could be proxied by genetic polymorphisms outside the FADS region. Our study used summary genetic data on 10 PUFAs and 67 cancers, corresponding to 562,871 cases and 1,619,465 controls, collected by the Fatty Acids in Cancer Mendelian Randomization Collaboration. We estimated odds ratios (ORs) for cancer per standard deviation increase in genetically proxied PUFA exposures. Findings Genetically elevated PUFA desaturase activity was associated (P < 0.0007) with higher risk (OR [95% confidence interval]) of colorectal cancer (1.09 [1.07–1.11]), esophageal squamous cell carcinoma (1.16 [1.06–1.26]), lung cancer (1.06 [1.03–1.08]) and basal cell carcinoma (1.05 [1.02–1.07]). There was little evidence for associations with reproductive cancers (OR = 1.00 [95% CI: 0.99–1.01]; P heterogeneity = 0.25), urinary system cancers (1.03 [0.99–1.06], P heterogeneity = 0.51), nervous system cancers (0.99 [0.95–1.03], P heterogeneity = 0.92) or blood cancers (1.01 [0.98–1.04], P heterogeneity = 0.09). Findings for colorectal cancer and esophageal squamous cell carcinoma remained compatible with causality in sensitivity analyses for violations of assumptions. Secondary MR analyses highlighted higher omega 6 PUFAs (arachidonic acid, gamma-linolenic acid and dihomo-gamma-linolenic acid) as potential mediators. PUFA biosynthesis is known to interact with aspirin, which increases risk of bleeding and inflammatory bowel disease. In a phenome-wide MR study of non-neoplastic diseases, we found that genetic lowering of PUFA desaturase activity, mimicking a hypothetical intervention to reduce cancer risk, was associated (P < 0.0006) with increased risk of inflammatory bowel disease but not bleeding. Interpretation The PUFA biosynthesis pathway may be an intervention target for prevention of colorectal cancer and esophageal squamous cell carcinoma but with potential for increased risk of inflammatory bowel disease. Funding Cancer Resesrch UK (C52724/A20138, C18281/A19169). UK Medical Research Council (MR/P014054/1). National Institute for Health Research (NIHR202411). UK Medical Research Council (MC_UU_00011/1, MC_UU_00011/3, MC_UU_00011/6, and MC_UU_00011/4). National Cancer Institute (R00 CA215360). National Institutes of Health (U01 CA164973, R01 CA60987, R01 CA72520, U01 CA74806, R01 CA55874, U01 CA164973 and U01 CA164973).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.229

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.021
GPT teacher head0.339
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations52
Published2023
Admission routes1
Has abstractyes

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