Evidence map›Paper›PMID 37138425›Full record

ArticleInternational journal of cancer2023

A nested case-control study of untargeted albumin adductomics and acute myeloid leukemia.

Mohammad L Rahman, Bryan A Bassig, Hasmik Grigoryan, Wei Hu, H Dean Hosgood, Wen-Yi Huang, Jason Y Y Wong, Paul Strickland, Stephen M Rappaport, Qing Lan and 1 more

Open access · bronzeAbstract read
In one paragraph

Article in International journal of cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Mapping assays to the key characteristics of carcinogens to support decision-making.Database : the journal of biological databases and curation · 2025
    Article
  2. Article
  3. 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

11 authors at 5 institutions in 1 country.

Mohammad L RahmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA.ORCID 0000-0001-8322-0495
Bryan A BassigDivision of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA.
Hasmik GrigoryanCenter for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, California, USA.
Wei HuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA.
H Dean HosgoodDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA.
Wen-Yi HuangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA.ORCID 0000-0002-4440-3368
Jason Y Y WongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA.ORCID 0000-0003-2820-2133
Paul StricklandEnvironmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Stephen M RappaportCenter for Integrative Research on Childhood Leukemia and the Environment, University of California, Berkeley, California, USA.
Qing LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA.
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, OEEB, Division of Cancer Epidemiology and Genetics, Rockville, Maryland, USA.ORCID 0000-0002-0866-9943
National Cancer Institute · USAlbert Einstein College of Medicine · USBerkeley Public Health Division · USJohns Hopkins University · USUniversity of California, Berkeley · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCHALE, CLIONA · 1987 to 2025
$74.6M
Studies of Occupational CancerZIACP010120 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI LAN, QING · 2009 to 2025
$34.4M
Occupational Exposure AssessmentZIACP010122 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI FRIESEN, MELISSA · 2009 to 2025
$8.6M
Biological mechanisms underlying the relationships between environmental exposures and risk of respiratory and cardiovascular diseasesZIAHL006285 · NHLBI · NATIONAL HEART, LUNG, AND BLOOD INSTITUTE · PI WONG, JASON · 2023 to 2025
$3.8M
Intramural NIH HHS ZIA CP010120Intramural NIH HHS ZIA CP010122NCI NIH HHSNIEHS NIH HHS P42 ES004705NIEHS NIH HHS P42ES04705
6 · The paper itself

Abstract

Environmental exposures often produce reactive electrophiles in vivo, leading to oxidative stress, which plays a major role in carcinogenesis. These electrophiles frequently form adducts with human albumin, which can be measured to assess in vivo oxidative stress. Here, we aimed to examine the associations between circulatory albumin adducts and acute myeloid leukemia (AML), the most common adult myeloid leukemia that showed consistent associations with environmental exposures. We conducted a nested case-control study of 52 incident AML cases and 103 controls matched on age, sex and race within two prospective cohorts: the CLUE and PLCO studies. We measured 42 untargeted albumin adducts in prediagnostic samples using liquid chromatography-high-resolution mass spectrometry. Circulatory albumin adducts were associated with AML in conditional logistic regression models. For instance, higher levels of Cys34 disulfide adduct of the S-γ-glutamylcysteine, a precursor of the essential antioxidant, glutathione were associated with a lower risk of AML (odds ratios [95% confidence intervals]) for the 1st, 2nd and 3rd tertiles were 1.0, 0.65 (0.31-1.36) and 0.31 (0.12-0.80), respectively (P-trend = .01). These associations were largely driven by effects present among cases diagnosed at or above the median follow-up time of 5.5 years. In conclusion, applying a novel approach to characterize exposures in the prediagnostic samples, we found evidence supporting the notion that oxidative stress may play a role in the pathogenesis of AML. Our findings offer insight into AML etiology and may be relevant in identifying novel therapeutic targets.

Indexed as

Leukemia, Myeloid, AcuteAdultCase-Control StudiesEnvironmental ExposureHumansProspective StudiesSerum Albumin, HumanSerum Albumin, Humanacute myeloid leukemiaadductomicsglutathioneoxidative stressγ-glutamylcysteine

Identifiers

PMID37138425
PMCPMC11702175
OpenAlexW4368360024

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.