Evidence map›Paper›PMID 38112642›Full record

ArticleCancer research communications2024

Associations Between Serum Iron Biomarkers and Breast Cancer Tumor Size.

Ann Von Holle, Rachel L Thompson, Katie M O'Brien, Dale P Sandler, Clarice R Weinberg

Open access · goldAbstract read
In one paragraph

Article in Cancer research communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Ann Von HolleBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina.ORCID 0000-0002-0299-1114
Rachel L ThompsonDepartment of Environmental, Occupational, and Geospatial Health Sciences, City University of New York Graduate School of Public Health & Health Policy, New York, New York.ORCID 0000-0002-3042-7887
Katie M O'BrienEpidemiology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina.ORCID 0000-0002-1931-1349
Dale P SandlerEpidemiology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina.ORCID 0000-0002-6776-0018
Clarice R WeinbergBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, Durham, North Carolina.ORCID 0000-0002-7713-8556
National Institute of Environmental Health Sciences · USCity University of New York · USTriangle · US

Funding

Environmental and Genetic Risk Factors For Breast Cancer: The Sister StudyZIAES044005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 2009 to 2025
$22.7M
The Two Sister StudyZIAES102245 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI WEINBERG, CLARICE · 2009 to 2025
$8.6M
Genetic and Environmental Risk Factors for Breast Cancer: The Sister StudyZ01ES044005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 1999 to 2008
$1.3M
Intramural NIH HHS Z01 ES044005Intramural NIH HHS ZIA ES102245
6 · The paper itself

Abstract

Excess iron has been shown to promote tumor growth in animals whereas iron deficiency has been associated with reduced or slowed tumor growth. The objective of this analysis was to estimate the associations between serum iron biomarkers and tumor size at diagnosis and metastatic status in a sample of breast cancer cases from the Sister Study.The analytic sample included 2,494 incident breast cancer cases with information on tumor size and iron biomarkers, including serum iron (mcg/dL), ferritin (mcg/dL), and percent transferrin saturation, measured in serum collected at baseline. We used Spearman rank correlation and linear regression models to assess the associations between one SD changes in serum iron biomarker levels and natural log of tumor size (cm) adjusting for body mass index and age at study entry.We did not find strong associations between any of the three serum iron biomarkers and tumor size. Adjusted regression slopes (95% confidence interval) were -0.016 (-0.048 to 0.016) for serum iron, -0.032 (-0.064 to <0.001) for ferritin, and -0.010 (-0.043 to 0.023) for transferrin saturation.This study did not provide evidence supporting the hypothesis of a positive association between breast cancer tumor size at diagnosis and prediagnostic serum iron levels. Conflicting evidence between this study and previous research in animal models suggests that iron in the human tumor microenvironment may operate independently of circulating iron or body iron stores.Iron has shown protumorigenic activity in animal models, but our data do not support a positive relationship between breast tumor growth and iron status. SIGNIFICANCE: Using a large sample of women from a U.S. prospective cohort, we assessed associations between several serum iron measures at baseline and breast cancer tumor size and metastatic status. All estimated associations were close to zero with no evidence to support our hypothesis of higher body iron levels associated with larger tumor size. These results suggest the human tumor microenvironment operates independently of circulating serum iron levels.

Indexed as

Breast NeoplasmsIronBiomarkersFemaleFerritinsHumansProspective StudiesTransferrinTumor MicroenvironmentBiomarkersFerritinsIronTransferrin

Identifiers

PMID38112642
PMCPMC10804913
OpenAlexW4389936212

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.