Evidence map›Paper›PMID 38695391›Full record

ArticleInternational journal of cancer2024

Associations between eosinophils and cancer risk in the UK Biobank.

Jeanny H Wang, Charles S Rabkin, Eric A Engels, Minkyo Song

Abstract read
In one paragraph

Article in International journal of cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Review
  2. AllergoOncology in Review: Harnessing Allergy in the Field of Oncology to Improve Patient Outcomes.Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology · 2026
    Review
  3. Eosinophils in solid cancers: sentinels, predictors, and therapeutic allies.Journal of experimental & clinical cancer research : CR · 2026
    Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
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

4 authors.

Jeanny H WangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-7303-1874
Charles S RabkinDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Eric A EngelsDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0003-0203-6958
Minkyo SongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.ORCID 0000-0002-9412-2871

Funding

Infections, immunity, and inflammation in cancerZIACP010150 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ENGELS, ERIC A · 2009 to 2025
$24.0M
Intramural NIH HHS ZIA CP010150the Intramural Research Program of the National Cancer Institute ZIACP010150-22 (PIEricEngels)Wellcome Trust
6 · The paper itself

Abstract

Eosinophils exhibit anti-tumor cytotoxic responses in the tumor microenvironment and may contribute to tumor immunosurveillance. To assess the relationship between circulating eosinophils and cancer risk, we analyzed data from 443,542 adults aged 38-73 in the UK Biobank, who were initially cancer-free, had over a year of follow-up, and baseline white blood cell count measurements. Using multivariable Cox regression, we estimated hazard ratios (aHR) and 95% confidence intervals (95%CI) for each quartile increase in absolute eosinophil count (AEC) across 58 cancer types, adjusting for relevant confounders. During a median follow-up of 5.8 years, 22,747 incident cancer cases were diagnosed. We observed an inverse association, which met Bonferroni significance, between AEC and overall cancer risk (aHR, 95%CI 0.97, 0.95-0.98). Notably, 16 cancer types showed borderline associations (p <.05) with AEC, with 12 types displaying an inverse relationship. These included four hematologic cancers (acute and other myeloid leukemia, other lymphocytic leukemia, and chronic lymphocytic leukemia/small lymphocytic lymphoma; aHR range; 0.58-0.87) and eight nonhematologic cancers (melanoma and nose/middle ear, soft tissue/heart, gum/other mouth, tongue, lung, colon, and breast cancers; aHR range: 0.65-0.95). Higher AEC showed a borderline significant association with increased risk for intrahepatic bile duct cancer, Hodgkin lymphoma, diffuse large B-cell lymphoma, and chronic myeloid leukemia (aHR range: 1.13-1.42). Our study, the largest to date, provides insights into the relationship between blood eosinophils and a comprehensive list of incident cancers. The inverse association between AEC and overall cancer risk suggests a protective role for eosinophils in tumor surveillance.

Indexed as

Biological Specimen BanksEosinophilsNeoplasmsAdultAgedFemaleFollow-Up StudiesHumansIncidenceLeukocyte CountMaleMiddle AgedProportional Hazards ModelsRisk FactorsUK BiobankUnited Kingdombiomarkerscancer riskeosinophils

Identifiers

PMID38695391
PMCPMC11164628

What OpenQuestion holds

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Registered trials

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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.