Evidence map›Paper›PMID 38308367›Full record

ArticleGenome medicine2024

Biological basis of extensive pleiotropy between blood traits and cancer risk.

Miguel Angel Pardo-Cea, Xavier Farré, Anna Esteve, Joanna Palade, Roderic Espín, Francesca Mateo, Eric Alsop, Marc Alorda, Natalia Blay, Alexandra Baiges and 22 more

Open access · goldAbstract read
In one paragraph

Article in Genome medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

8 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
    Review
  5. Article
  6. Review
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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

32 authors at 13 institutions in 4 countries.

Miguel Angel Pardo-Cea *ProCURE, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Xavier Farré *Genomes for Life - GCAT Lab Group, Institut Germans Trias i Pujol (IGTP), Badalona, 08916, Barcelona, Catalonia, Spain.
Anna Esteve *Badalona Applied Research Group in Oncology (B-ARGO), Catalan Institute of Oncology, Institut Germans Trias i Pujol (IGTP), Badalona, 08916, Barcelona, Catalonia, Spain.
Joanna Palade *Cancer and Cell Biology, Translational Genomics Research Institute (TGen), Arizona, Phoenix, AZ, 85004, USA.
Roderic Espín *ProCURE, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Francesca MateoProCURE, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Eric AlsopCancer and Cell Biology, Translational Genomics Research Institute (TGen), Arizona, Phoenix, AZ, 85004, USA.
Marc AlordaProCURE, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Natalia BlayGenomes for Life - GCAT Lab Group, Institut Germans Trias i Pujol (IGTP), Badalona, 08916, Barcelona, Catalonia, Spain.
Alexandra BaigesProCURE, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Arzoo ShabbirProCURE, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Francesc ComellasDepartment of Mathematics, Technical University of Catalonia, Castelldefels, 08860, Barcelona, Catalonia, Spain.
Antonio GómezDepartment of Biosciences, Faculty of Sciences and Technology (FCT), University of Vic - Central University of Catalonia (UVic-UCC), Vic, 08500, Barcelona, Catalonia, Spain.
Montserrat ArnanDepartment of Hematology, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Alex TeuléHereditary Cancer Program, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Monica SalinasHereditary Cancer Program, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Laura BerrocalOncoGir, Catalan Institute of Oncology, Girona Biomedical Research Institute (IDIBGI), 17190, Salt, Catalonia, Spain.
Joan BrunetHereditary Cancer Program, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Paula RofesHereditary Cancer Program, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Conxi LázaroHereditary Cancer Program, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Miquel ConesaDepartment of Pathology and Experimental Therapies, University of Barcelona (UB), Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Juan Jose RojasDepartment of Pathology and Experimental Therapies, University of Barcelona (UB), Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain.
Lars VeltenCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology (BIST), 08003, Barcelona, Spain.
Wojciech FendlerDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, 92-215, Lodz, Poland.
Urszula SmyczynskaDepartment of Biostatistics and Translational Medicine, Medical University of Lodz, 92-215, Lodz, Poland.
Dipanjan ChowdhuryDepartment of Radiation Oncology, Dana-Farber Cancer Institute, Boston, MA, 02115, USA.
Yong ZengPrincess Margaret Cancer Center, University Health Network, Toronto, ON, M5G 2C4, Canada.
Housheng Hansen HePrincess Margaret Cancer Center, University Health Network, Toronto, ON, M5G 2C4, Canada.
Rong LiDepartment of Biochemistry and Molecular Medicine, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20052, USA.
Kendall Van Keuren-JensenCancer and Cell Biology, Translational Genomics Research Institute (TGen), Arizona, Phoenix, AZ, 85004, USA. kjensen@tgen.org.
Rafael de CidGenomes for Life - GCAT Lab Group, Institut Germans Trias i Pujol (IGTP), Badalona, 08916, Barcelona, Catalonia, Spain. rdecid@igtp.cat.
Miquel Angel PujanaProCURE, Catalan Institute of Oncology, Oncobell, Bellvitge Institute for Biomedical Research (IDIBELL), L'Hospitalet del Llobregat, 08908, Barcelona, Catalonia, Spain. mapujana@iconcologia.net.ORCID 0000-0003-3222-4044
Bellvitge University Hospital · ESInstitut d'Investigació Biomédica de Bellvitge · ESInstituto de Salud Carlos III · ESInstitut d'Investigació en Ciències de la Salut Germans Trias i Pujol · ESTranslational Genomics Research Institute · USInstitut Català d'Oncologia · ESMedical University of Lodz · PLUniversity Health Network · CAGeorge Washington University · USHarvard University · USUniversitat de Vic - Universitat Central de Catalunya · ESUniversitat Politècnica de Catalunya · ESUniversitat Pompeu Fabra · ES

Funding

T Cell-Specific BRCA1 Function in Antitumor Immunity and ImmunotherapyR01CA282303 · NCI · GEORGE WASHINGTON UNIVERSITY · PI YANFEN HU, Rong Li · 2023 to 2026
$2.4M
NCI NIH HHS CA282303NCI NIH HHS R01 CA282303
6 · The paper itself

Abstract

backgroundThe immune system has a central role in preventing carcinogenesis. Alteration of systemic immune cell levels may increase cancer risk. However, the extent to which common genetic variation influences blood traits and cancer risk remains largely undetermined. Here, we identify pleiotropic variants and predict their underlying molecular and cellular alterations.

methodsMultivariate Cox regression was used to evaluate associations between blood traits and cancer diagnosis in cases in the UK Biobank. Shared genetic variants were identified from the summary statistics of the genome-wide association studies of 27 blood traits and 27 cancer types and subtypes, applying the conditional/conjunctional false-discovery rate approach. Analysis of genomic positions, expression quantitative trait loci, enhancers, regulatory marks, functionally defined gene sets, and bulk- and single-cell expression profiles predicted the biological impact of pleiotropic variants. Plasma small RNAs were sequenced to assess association with cancer diagnosis.

resultsThe study identified 4093 common genetic variants, involving 1248 gene loci, that contributed to blood-cancer pleiotropism. Genomic hotspots of pleiotropism include chromosomal regions 5p15-TERT and 6p21-HLA. Genes whose products are involved in regulating telomere length are found to be enriched in pleiotropic variants. Pleiotropic gene candidates are frequently linked to transcriptional programs that regulate hematopoiesis and define progenitor cell states of immune system development. Perturbation of the myeloid lineage is indicated by pleiotropic associations with defined master regulators and cell alterations. Eosinophil count is inversely associated with cancer risk. A high frequency of pleiotropic associations is also centered on the regulation of small noncoding Y-RNAs. Predicted pleiotropic Y-RNAs show specific regulatory marks and are overabundant in the normal tissue and blood of cancer patients. Analysis of plasma small RNAs in women who developed breast cancer indicates there is an overabundance of Y-RNA preceding neoplasm diagnosis.

conclusionsThis study reveals extensive pleiotropism between blood traits and cancer risk. Pleiotropism is linked to factors and processes involved in hematopoietic development and immune system function, including components of the major histocompatibility complexes, and regulators of telomere length and myeloid lineage. Deregulation of Y-RNAs is also associated with pleiotropism. Overexpression of these elements might indicate increased cancer risk.

Indexed as

Genome-Wide Association StudyNeoplasmsFemaleGenetic PleiotropyGenetic Predisposition to DiseaseHumansPhenotypePolymorphism, Single NucleotideQuantitative Trait LociBlood traitCancerEosinophilHematopoiesisMyeloidPleiotropyTelomereY-RNA

Identifiers

PMID38308367
PMCPMC10837955
OpenAlexW4391486154

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.