Evidence map›Paper›PMID 42044625›Full record

ArticleCancer research communications2026

Natural Autoantibodies Negatively Correlate with Hepatocellular Carcinoma Incidence in Cirrhosis.

Manaf Alsudaney, Ashley Kim, Rami Hemadeh, Naomy Kim, Daniel Legaspi, Osama Khattab, Jessica Liu, Ekaterina K Koltsova, Hasmik Adetyan, Tamar Yalda and 3 more

Abstract read
In one paragraph

Article in Cancer research communications, 2026. 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

13 authors.

Manaf AlsudaneyKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0000-0003-0760-0925
Ashley KimKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0009-0008-4916-001X
Rami HemadehKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0009-0000-7313-4008
Naomy KimKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0009-0008-7747-514X
Daniel LegaspiKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0009-0003-6998-3631
Osama KhattabKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0009-0005-4188-4054
Jessica LiuChicago Medical School, Rosalind Franklin University of Medicine and Science, North Chicago, Illinois.ORCID 0009-0009-1693-6886
Ekaterina K KoltsovaDepartment of Medicine, Cedars-Sinai Cancer, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0000-0001-9872-9905
Hasmik AdetyanKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0009-0006-6455-790X
Tamar YaldaKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0009-0000-6839-2117
Hirsh TrivediDivision of Gastroenterology and Hepatology, Dell Medical School, University of Texas at Austin, Austin, Texas.ORCID 0000-0002-8328-9211
Walid S AyoubKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0000-0002-9123-5918
Ju Dong YangKarsh Division of Gastroenterology and Hepatology, Department of Medicine, Cedars-Sinai Health Sciences University, Los Angeles, California.ORCID 0000-0001-7834-9825

Funding

Cedars-Sinai Medical Center (CS)
6 · The paper itself

Abstract

Hepatocellular carcinoma (HCC) remains a leading cause of cancer death, and existing HCC risk stratification models in cirrhosis poorly identify patients at the highest risk. We evaluated whether baseline antinuclear antibody (ANA) status is independently associated with incident HCC and whether adding ANA improves risk prediction. We conducted a single-center, retrospective cohort of adults (age ≥18 years) with established cirrhosis and clinically obtained ANA testing within 12 months of cirrhosis diagnosis. Follow-up began at the cirrhosis index date; the primary outcome was incident HCC. Associations were assessed using cause-specific Cox models with prespecified clinical covariates. We compared discrimination for a clinical model with and without ANA and performed inverse-probability-weighted and immunologic (IgG/neutrophil-to-lymphocyte ratio) sensitivity analyses in complete cases. Among 1,023 participants [mean age 53.7 years (SD 10.9); 57% male], 102 developed incident HCC over a median 4.7 years of follow-up. HCC incidence was lower in ANA-positive versus ANA-negative patients (1.10 vs. 3.73 per 100 person-years; log-rank P < 0.001). ANA positivity was associated with lower HCC risk in multivariable models (HR, 0.32; 95% CI, 0.20-0.52). Adding ANA improved discrimination (C-index 0.727-0.750) and model fit (likelihood-ratio P < 0.001). Findings were consistent in weighted and laboratory-complete sensitivity analyses. In cirrhosis, baseline ANA positivity is independently associated with lower incident HCC risk and provides incremental prognostic information beyond routine clinical factors. Prospective validation and mechanistic studies are warranted. SIGNIFICANCE: Natural autoantibodies (ANA) are routinely measured, inexpensive, and widely accessible, yet their prognostic value in cirrhosis is not used for HCC risk stratification. In this retrospective cohort, baseline ANA positivity was independently associated with lower incident HCC risk and improved model discrimination beyond clinical factors. These findings support repurposing a common clinical test to refine individualized surveillance intensity and motivate prospective validation and mechanistic studies.

Indexed as

Antibodies, AntinuclearAutoantibodiesCarcinoma, HepatocellularLiver CirrhosisLiver NeoplasmsAdultAgedFemaleHumansIncidenceMaleMiddle AgedRetrospective StudiesRisk FactorsAntibodies, AntinuclearAutoantibodies

Identifiers

PMID42044625
PMCPMC13176760

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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.