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Record W2891155771 · doi:10.1002/ijc.31797

Circulating plasma phospholipid fatty acids and risk of pancreatic cancer in a large European cohort

2018· article· en· W2891155771 on OpenAlexfundno aff
Marco Matejcic, Fabienne Lesueur, Carine Biessy, Anne‐Laure Renault, Noura Mebirouk, Sahar Yammine, Pekka Keski‐Rahkonen, K. Li, Bertrand Hémon, Elisabete Weiderpass, Vinciane Rebours, Marie‐Christine Boutron‐Ruault, Franck Carbonnel, Rudolf Kaaks, Verena Katzke, Tilman Kühn, Heiner Boeing, Antonia Trichopoulou, Domenico Palli, Claudia Agnoli, Salvatore Panico, ­Rosario ­Tumino, Carlotta Sacerdote, J.R. Quirós, Eric J. Duell, Miquel Porta, María‐José Sánchez, M.D. Chirlaque, Aurelio Barricarte, Pilar Amiano, Weimin Ye, P H M Peeters, Kay‐Tee Khaw, Aurora Perez‐Cornago, Timothy J. Key, H. B. Bueno-de-Mesquita, Elio Ríboli, Paolo Vineis, Isabelle Romieu, Marc J. Gunter, Véronique Chajès

Bibliographic record

VenueInternational Journal of Cancer · 2018
Typearticle
Languageen
FieldMedicine
TopicPancreatic and Hepatic Oncology Research
Canadian institutionsnot available
FundersWorld Cancer Research FundMedical Research CouncilMutuelle Générale de l'Education NationaleMedical Research Council CanadaDeutsche KrebshilfeFondation ARC pour la Recherche sur le CancerWorld Health OrganizationEuropean CommissionCancer Research UKDeutsches KrebsforschungszentrumInstitut National Du CancerInstitut National de la Santé et de la Recherche MédicaleKræftens BekæmpelseCentre International de Recherche sur le CancerMinisterie van Volksgezondheid, Welzijn en SportCancerfondenHealth ResearchLigue Contre le CancerBundesministerium für Bildung und Forschung
KeywordsPancreatic cancerInternal medicineEuropean Prospective Investigation into Cancer and NutritionMedicineOdds ratioGastroenterologyPolyunsaturated fatty acidEndocrinologyCancerProspective cohort studyLinoleic acidFatty acidBiologyBiochemistry

Abstract

fetched live from OpenAlex

There are both limited and conflicting data on the role of dietary fat and specific fatty acids in the development of pancreatic cancer. In this study, we investigated the association between plasma phospholipid fatty acids and pancreatic cancer risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. The fatty acid composition was measured by gas chromatography in plasma samples collected at recruitment from375 incident pancreatic cancer cases and375 matched controls. Associations of specific fatty acids with pancreatic cancer risk were evaluated using multivariable conditional logistic regression models with adjustment for established pancreatic cancer risk factors. Statistically significant inverse associations were found between pancreatic cancer incidence and levels of heptadecanoic acid (OR T3‐T1 [odds ratio for highest versus lowest tertile] =0.63; 95%CI[confidence interval] = 0.41–0.98; p trend = 0.036), n‐3 polyunsaturated α‐linolenic acid (OR T3‐T1 = 0.60; 95%CI = 0.39–0.92; p trend = 0.02) and docosapentaenoic acid (OR T3‐T1 = 0.52; 95%CI = 0.32–0.85; p trend = 0.008). Industrial trans‐fatty acids were positively associated with pancreatic cancer risk among men (OR T3‐T1 = 3.00; 95%CI = 1.13–7.99; p trend = 0.029), while conjugated linoleic acids were inversely related to pancreatic cancer among women only (OR T3‐T1 = 0.37; 95%CI = 0.17–0.81; p trend = 0.008). Among current smokers, the long‐chain n‐6/n‐3 polyunsaturated fatty acids ratio was positively associated with pancreatic cancer risk (OR T3‐T1 = 3.40; 95%CI = 1.39–8.34; p trend = 0.007). Results were robust to a range of sensitivity analyses. Our findings suggest that higher circulating levels of saturated fatty acids with an odd number of carbon atoms and n‐3 polyunsaturated fatty acids may be related to lower risk of pancreatic cancer. The influence of some fatty acids on the development of pancreatic cancer may be sex‐specific and modulated by smoking.

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)0.000
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 score0.012
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.370
Teacher spread0.349 · 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

Citations51
Published2018
Admission routes1
Has abstractyes

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