Evidence map›Paper›PMID 31527690›Full record

ArticleScientific reports2019

Mendelian randomization analysis rules out disylipidaemia as colorectal cancer cause.

Gemma Ibáñez-Sanz, Anna Díez-Villanueva, Marina Riera-Ponsati, Tania Fernández-Villa, Pablo Fernández Navarro, Mariona Bustamante, Javier Llorca, Pilar Amiano, Nieves Ascunce, Guillermo Fernández-Tardón and 17 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 34% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Blood lipids and risk of colon or rectal cancer: a Mendelian randomization study.Journal of cancer research and clinical oncology · 2021
    Article
  11. Article
  12. Revealing the Role of High-Density Lipoprotein in Colorectal Cancer.International journal of molecular sciences · 2021
    Review
  13. Article
  14. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

27 authors at 17 institutions in 3 countries.

Gemma Ibáñez-SanzUnit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO) and ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain.ORCID http://orcid.org/0000-0001-6071-7343
Anna Díez-VillanuevaUnit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO) and ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain.ORCID http://orcid.org/0000-0002-1696-5523
Marina Riera-PonsatiUnit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO) and ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain.
Tania Fernández-VillaGrupo de Investigación en Interacciones Gen-Ambiente y Salud. Instituto de Biomedicina (IBIOMED). University of León, León, Spain.
Pablo Fernández NavarroCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Mariona BustamanteCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Javier LlorcaCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Pilar AmianoCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Nieves AscunceCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Guillermo Fernández-TardónCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Inmaculada Salcedo BellidoCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Dolores SalasCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Rocío Capelo ÁlvarezCentro de Investigación en Recursos Naturales, Salud, y Medio Ambiente (RENSMA), University of Huelva, Huelva, Spain.
Marta Crous-BouUnit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO) and ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain.
Luis Ortega-ValínCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Beatriz Pérez-GómezCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.ORCID http://orcid.org/0000-0002-4299-8214
Gemma Castaño-VinyalsCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.ORCID http://orcid.org/0000-0003-4468-1816
Camilo PalazuelosUniversity of Cantabria - IDIVAL, Santander, Spain.
Jone M AltzibarPublic Health Division of Gipuzkoa, Biodonostia Research Institute, San Sebastian, Spain.
Eva ArdanazCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Adonina TardónCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.ORCID http://orcid.org/0000-0001-5150-1209
José Juan Jiménez MoleónCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.ORCID http://orcid.org/0000-0001-7917-6145
Valle Olmos JusteDepartment of General and Gastrointestinal Surgery, Complejo Asistencial Universitario de León, León, Spain.
Nuria AragonésCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Marina PollánCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Manolis KogevinasCIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain.
Victor MorenoUnit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO) and ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Spain. v.moreno@iconcologia.net.ORCID http://orcid.org/0000-0002-2818-5487
Instituto de Salud Carlos III · ESUniversitat Pompeu Fabra · ESBiogipuzkoa Health Research Institute · ESInstitut d'Investigació Biomédica de Bellvitge · ESInstituto de Salud Pública de Navarra · ESUniversidad de Cantabria · ESUniversidad de Granada · ESUniversidad de Oviedo · ESBellvitge University Hospital · ESCentro de Investigación Biomédica en Red de Epidemiología y Salud Pública · ESComplejo Asistencial Universitario de Palencia · ESComunidad de Madrid · ESGeneralitat Valenciana · ESHarvard University · USInstitut Català d'Oncologia · ESUniversidad de Huelva · ESUniversidad de León · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dyslipidemia and statin use have been associated with colorectal cancer (CRC), but prospective studies have shown mixed results. We aimed to determine whether dyslipidemia is causally linked to CRC risk using a Mendelian randomization approach and to explore the association of statins with CRC. A case-control study was performed including 1336 CRC cases and 2744 controls (MCC-Spain). Subjects were administered an epidemiological questionnaire and were genotyped with an array which included polymorphisms associated with blood lipids levels, selected to avoid pleiotropy. Four genetic lipid scores specific for triglycerides (TG), high density lipoprotein cholesterol (HDL), low density lipoprotein cholesterol (LDL), or total cholesterol (TC) were created as the count of risk alleles. The genetic lipid scores were not associated with CRC. The ORs per 10 risk alleles, were for TG 0.91 (95%CI: 0.72-1.16, p = 0.44), for HDL 1.14 (95%CI: 0.95-1.37, p = 0.16), for LDL 0.97 (95%CI: 0.81-1.16, p = 0.73), and for TC 0.98 (95%CI: 0.84-1.17, p = 0.88). The LDL and TC genetic risk scores were associated with statin use, but not the HDL or TG. Statin use, overall, was a non-significant protective factor for CRC (OR 0.84; 95%CI: 0.70-1.01, p = 0.060), but lipophilic statins were associated with a CRC risk reduction (OR 0.78; 95%CI 0.66-0.96, p = 0.018). Using the Mendelian randomization approach, our study does not support the hypothesis that lipid levels are associated with the risk of CRC. This study does not rule out, however, a possible protective effect of statins in CRC by a mechanism unrelated to lipid levels.

Indexed as

Mendelian Randomization AnalysisPolymorphism, Single NucleotideAdultAgedAged, 80 and overCase-Control StudiesColorectal NeoplasmsDyslipidemiasFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansIncidenceLipidsMaleLipids

Identifiers

PMID31527690
PMCPMC6746794
OpenAlexW2972513114

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.