Evidence map›Paper›PMID 40079721›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Circulating Inflammation Biomarkers and the Risk of Esophageal Adenocarcinoma: A Nested Case-Control Study in the Department of Defense Serum Repository.

Omonefe O Omofuma, Jennifer A Rusiecki, Jessica L Petrick, Roni T Falk, William Wheeler, Ruth M Pfeiffer, M Constanza Camargo, Michael B Cook

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Omonefe O OmofumaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-5739-8131
Jennifer A RusieckiDepartment of Preventive Medicine and Biostatistics, Uniformed Services University of the Health Sciences, Bethesda, Maryland.ORCID 0000-0003-3881-8695
Jessica L PetrickSlone Epidemiology Center at Boston University, Boston, Massachusetts.ORCID 0000-0001-6580-450X
Roni T FalkDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-5398-761X
William WheelerInformation Management Services Inc., Rockville, Maryland.ORCID 0000-0002-0316-9763
Ruth M PfeifferDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0001-7791-2698
M Constanza Camargo *Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-1065-2198
Michael B Cook *Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, Maryland.ORCID 0000-0002-0533-7302

Funding

Intramural NIH HHS Z99 CA999999National Cancer Institute (NCI) Intramural Program
6 · The paper itself

Abstract

backgroundWe previously identified associations of esophageal adenocarcinoma risk with four inflammation-related candidate biomarkers: TNF receptor 2 (TNFR2), IL17A, VEGFR3, and resistin.

methodsWe aimed to replicate these candidates and discover novel associations with additional proteins. We conducted a nested case-control study of men with prediagnostic biospecimens stored at the US Department of Defense Serum Repository, including 203 incident esophageal adenocarcinoma cases. Controls were matched to cases in a ∼2:1 ratio by date of birth, race, service branch, and blood draw date. Multiplex immunoassays (Olink/Proseek panels) measured 254 proteins detected in ≥10% of all samples. Multivariable-adjusted conditional logistic regression models calculated associations between biomarker quantiles and esophageal adenocarcinoma. P values (<0.05) were used to indicate the statistical significance of candidates, and FDR was applied to the additional proteins. ORs from the current analysis and those from previous studies were combined for the candidate markers using fixed-effects meta-analysis.

resultsAmong the four candidates, the highest category of TNFR2 was associated with significantly increased esophageal adenocarcinoma risk (ORQ4 vs. Q1 = 1.87; 95% confidence interval: 1.02-3.42). In the meta-analysis, associations with esophageal adenocarcinoma were positive for TNFR2 (meta-analyzed ORhighest-vs.-lowest = 2.04; 1.12-2.95) and inverse for IL17A (meta-analyzed ORhighest-vs.-lowest = 0.53; 0.26-0.80). Of the additional 250 proteins, 45 were associated with esophageal adenocarcinoma risk and 6 (monocyte chemotactic protein 3, IL6, TNFR1, hepatocyte growth factor, TFF3, and FURIN) remained significant after FDR correction.

conclusionsWe confirmed associations of TNFR2 and IL17A with esophageal adenocarcinoma risk. Additionally, our study expands the range of proteins associated with esophageal adenocarcinoma development. IMPACT: This is the largest assessment to discover novel associations of inflammation-related proteins with esophageal adenocarcinoma to date.

Indexed as

AdenocarcinomaBiomarkers, TumorEsophageal NeoplasmsInflammationAgedCase-Control StudiesHumansMaleMiddle AgedReceptors, Tumor Necrosis Factor, Type IIRisk FactorsUnited StatesBiomarkers, TumorReceptors, Tumor Necrosis Factor, Type II

Identifiers

PMID40079721
PMCPMC12048206

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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.