Evidence map›Paper›PMID 36332502›Full record

ArticleCancer epidemiology2022

Pre-diagnostic circulating p53 autoantibodies and subsequent lung cancer risk in low-income African and European Americans.

Hyung-Suk Yoon, Wei Zheng, Hui Cai, Jie Wu, Chris Shidal, Jifeng Wang, Xiao-Ou Shu, Tim Waterboer, William J Blot, Qiuyin Cai

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, 2022. 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
0.4field-weighted citation impact, top 36% 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, 5 citations in OpenAlex.

  1. Article
  2. Review
  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

10 authors at 2 institutions in 2 countries.

Hyung-Suk YoonDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA.
Wei ZhengDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA.
Hui CaiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA.
Jie WuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA.
Chris ShidalDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA.
Jifeng WangDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA.
Xiao-Ou ShuDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA.
Tim WaterboerDivision of Infections and Cancer Epidemiology, Infection, Inflammation and Cancer Program, German Cancer Research Center (DFKZ), Heidelberg, Germany.
William J BlotDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA.
Qiuyin CaiDivision of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN, 37203, USA. Electronic address: qiuyin.cai@vanderbilt.edu.
Vanderbilt University · USGerman Cancer Research Center · DE

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Southern Community Cohort StudyR01CA092447 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., ZHENG, WEI · 2001 to 2015
$74.0M
Southern Community Cohort StudyU01CA202979 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BLOT, WILLIAM J., SHRUBSOLE, MARTHA J. · 2016 to 2025
$22.0M
Vanderbilt Training Program in Molecular and Genetic Epidemiology of CancerT32CA160056 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Xiao-Ou Shu · 2017 to 2026
$3.8M
Individual and social contextual factors in relation to DNA methylation, biological aging, and lung cancer riskR01MD015396 · NIMHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CAI, QIUYIN, LONG, JIRONG · 2021 to 2025
$3.3M
NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA092447NCI NIH HHS T32 CA160056NCI NIH HHS U01 CA202979NIMHD NIH HHS R01 MD015396
6 · The paper itself

Abstract

introductionMutations of the TP53 gene lead to the production of autoantibodies against p53, a major tumor suppressor protein. Although studies have indicated the association of p53 autoantibodies with human cancers, epidemiologic evidence on lung cancer is still lacking.

methodsIn this nested case-control study conducted within the Southern Community Cohort Study, we investigated the association of circulating p53 autoantibodies with the subsequent risk of developing lung cancer. Using blood samples collected prior to any cancer diagnosis from 295 cases and their individually matched controls, seroreactivity to p53 was assessed by fluorescent bead-based multiplex serology. Conditional logistic regression models were used to estimate odds ratios (OR) and 95 % confidence intervals (CI) for lung cancer risk associated with p53 autoantibodies.

resultsAfter adjustment for potential confounders, p53 seropositivity was significantly associated with an increased risk of lung cancer (OR=2.98, 95 % CI: 1.10-8.06) among African Americans, but not among European Americans (OR=1.21, 95 % CI: 0.24-6.15). The positive associations were restricted to men (OR=4.59, 95 % CI: 1.30-16.16) and participants with a short interval (≤ 4 years) from blood collection to diagnosis (OR=4.30, 95 % CI: 1.33-13.89).

conclusionOur findings add to the evidence supporting p53 autoantibodies as a biomarker of lung cancer.

Indexed as

African AmericansAutoantibodiesLow-Income PopulationsLung cancerP53Southern Community Cohort Study

Identifiers

PMID36332502
PMCPMC11296379
OpenAlexW4308042266

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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.