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Record W4404646673 · doi:10.1101/2024.11.20.24317649

Proteogenomic and observational evidence implicate ANGPTL4 as a potential therapeutic target for colorectal cancer prevention

2024· preprint· en· W4404646673 on OpenAlexaff
James Yarmolinsky, Matthew A. Lee, Evelyn Lau, Ferrán Moratalla-Navarro, Emma E. Vincent, Ruifang Li‐Gao, Patrick C.N. Rensen, Ko Willems van Dijk van Dijk, Konstantinos K. Tsilidis, Apiwat Sangphukieo, Elmira Ebrahimi, Jochen Hampe, Loı̈c Le Marchand, Fränzel van Duijnhoven, Kala Visvanathan, Michael O. Woods, Marcela Guevara, Sabina Sieri, Giovanna Masala, Keren Papier, Shama Virani, Tom Dudding, Abbas Dehghan, Dennis Wang, Vı́ctor Moreno, Marc J. Gunter, Ioanna Tzoulaki

Bibliographic record

VenuemedRxiv · 2024
Typepreprint
Languageen
FieldMedicine
TopicLipid metabolism and disorders
Canadian institutionsMemorial University of Newfoundland
FundersRijksinstituut voor Volksgezondheid en MilieuInstituto de Salud Carlos IIINational Institute for Health and Care ResearchEngineering and Physical Sciences Research CouncilNIHR Imperial Biomedical Research CentreGeneralitat de CatalunyaMinisterio de Ciencia e InnovaciónCentres de Recerca de Catalunya
KeywordsObservational studyColorectal cancerProteogenomicsMedicineANGPTL4Computational biologyBiologyOncologyInternal medicineCancerBioinformaticsGeneticsGenomicsGenomeGene

Abstract

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Abstract Background Preclinical, observational, and genetic epidemiological evidence implicate circulating lipids in cancer development. The role of approved and emerging lipid-perturbing medications in cancer risk is unclear. Patients and methods We employed cis -Mendelian randomization (MR) and colocalisation to evaluate the role of 5 lipid-perturbing drug targets (ANGPTL3, ANGPTL4, APOC3, CETP, PCSK9) in risk of 5 cancers (breast, colorectal, head and neck, ovarian, prostate) in up to 319,661 cases and 348,078 controls. We further triangulated findings using direct measures of pre-diagnostic protein targets in case-cohort analyses in the European Prospective Investigation into cancer and Nutrition (EPIC). To gain mechanistic insight into the role of ANGPTL4 in carcinogenesis, we examined the impact of the ANGPTL4 p.E40K loss-of-function variant on differential gene expression in normal colon tissue in the BarcUVa-Seq project. Finally, we evaluated the association of ANGPTL4 gene expression in colon tumour tissue with all-cause mortality in The Cancer Genome Atlas (TCGA). Results In analysis of 78,473 cases and 107,143 controls, genetically-proxied circulating ANGPTL4 inhibition was associated with a reduced risk of colorectal cancer (OR per SD decrease: 0.76, 95% CI 0.66-0.89, P = 5.52 x 10 -4 , colocalisation posterior probability = 0.83). This association was replicated in the EPIC cohort using pre-diagnostic circulating ANGPTL4 concentrations in 977 incident colorectal cancer cases and 4,080 sub-cohort members (HR per log10 decrease: 0.92, 95% CI 0.85-0.99, P = 0.02). In gene set enrichment analysis of differential gene expression in 445 normal colon tissue samples, ANGPTL4 loss-of-function was associated with down-regulation of several biological pathways implicated in cancer (FDR P < 0.05), including those involved in cellular proliferation, epithelial-to-mesenchymal transition, and bile acid metabolism. In analysis of 465 colon cancer patients, lower ANGPTL4 expression in tumour tissue was associated with reduced risk of all-cause mortality (HR per log2 decrease: 0.85, 95% CI 0.73-0.99; P = 0.04). There was little evidence of association of genetically-proxied inhibition of ANGPTL4 or other lipid targets with the other cancer outcomes evaluated. Conclusion Our integrative proteogenomic and observational analyses suggest a protective role of lower circulating ANGPTL4 concentrations in colorectal cancer risk. These findings support further evaluation of ANGPTL4, an emerging drug target for hypertriglyceridemia, as a potential therapeutic target for colorectal cancer prevention. Highlights We used complementary proteogenomic and observational analyses to investigate the effect of lipid-perturbing drug targets on cancer risk Across all methods there was consistent evidence for a protective role of lower circulating ANGPTL4 concentrations in colorectal cancer risk Our findings highlight the possibility of repurposing pharmacological ANGPTL4 inhibition as a novel approach for colorectal cancer prevention

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.074
GPT teacher head0.363
Teacher spread0.290 · 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 source (direct Gemma or distilled Codex), 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".

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Citations1
Published2024
Admission routes1
Has abstractyes

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