Evidence map›Paper›PMID 39953193›Full record

ArticleScientific reports2025

Pan-serological antibodies and liver cancer risk: a nested case-control analysis.

Cody Z Watling, Xing Hua, Jessica L Petrick, Xuehong Zhang, Whitney L Do, Limin Wang, Evan Maestri, Kai Yu, Xin Wei Wang, Katherine A McGlynn

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
–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

1 citing paper in PubMed.

  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

10 authors.

Cody Z Watling *Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Xing Hua *Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Jessica L PetrickSlone Epidemiology Center at Boston University, Boston, MA, USA.
Xuehong ZhangDepartment of Medicine, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Whitney L DoLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Limin WangLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Evan MaestriLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Kai YuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Xin Wei WangLaboratory of Human Carcinogenesis, Center for Cancer Research, National Cancer Institute, Bethesda, MD, 20892, USA.
Katherine A McGlynnDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. mcglynnk@nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, studies have reported that pan-viral serology signatures may be predictive for liver cancer development. However, whether these same findings are observed for prospective studies has not been previously investigated. The nested case-control analysis included 191 persons who developed liver cancer and 382 controls from the PLCO prospective cohort. The presence of circulating antibodies, measured by VirScan, was determined in serum samples obtained at study recruitment. The presence of antibodies was compared between cases and controls using multivariable conditional logistic regressions, and prediction models were used to estimate whether exposures predicted liver cancer development. No significant associations were found between antibodies to viruses, bacteria or allergens and liver cancer risk after adjustment for multiple testing. The agent most significantly associated with risk was hepatitis C virus (HCV), but it was only detected among 23 participants (odds ratio (OR): 3.98; 95% confidence intervals (CI):1.59-9.99; p = 0.0032, False Discovery Rate (FDR) = 0.35). In prediction models based on 109 antibody features, no associations with liver cancer risk were observed (area under the curve [AUC]: 0.52-0.54). In analyses restricted to the most common type of liver cancer, hepatocellular carcinoma, the association with HCV was stronger (OR: 23.16, 95% CI: 4.55-117.68; FDR p-value = 0.0016), although prediction models based on all detected antibodies were similar (AUC = 0.55; 95% CI:0.43-0.68). Antibodies to no infectious agents, other than HCV, were found to be prospectively associated with liver cancer risk. The utility of using an antibody exposure signature prospectively for liver cancer development needs to be further explored.

Indexed as

Antibodies, ViralLiver NeoplasmsAdultAgedCase-Control StudiesFemaleHepacivirusHepatitis CHumansMaleMiddle AgedProspective StudiesRisk FactorsAntibodies, ViralAntibodiesBacteriaCohortHepatocellular carcinomaProspectiveViruses

Identifiers

PMID39953193
PMCPMC11828989

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.