Evidence map›Paper›PMID 37488962›Full record

ArticleArthritis & rheumatology (Hoboken, N.J.)2024

Distinct Scleroderma Autoantibody Profiles Stratify Patients for Cancer Risk at Scleroderma Onset and During the Disease Course.

Ji Soo Kim, Adrianne Woods, Laura Gutierrez-Alamillo, Maureen Laffoon, Fredrick M Wigley, Laura K Hummers, Antony Rosen, Scott Zeger, Robyn T Domsic, Livia Casciola-Rosen and 1 more

Open access · greenAbstract read
In one paragraph

Article in Arthritis & rheumatology (Hoboken, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.6field-weighted citation impact, top 7% 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

8 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  6. Cancer in connective tissue disease.Frontiers in immunology · 2025
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Ji Soo KimJohns Hopkins University, Baltimore, Maryland.
Adrianne WoodsJohns Hopkins University, Baltimore, Maryland.
Laura Gutierrez-AlamilloJohns Hopkins University, Baltimore, Maryland.
Maureen LaffoonUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Fredrick M WigleyJohns Hopkins University, Baltimore, Maryland.
Laura K HummersJohns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-4864-4011
Antony RosenJohns Hopkins University, Baltimore, Maryland.
Scott ZegerJohns Hopkins University, Baltimore, Maryland.
Robyn T DomsicUniversity of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.ORCID 0000-0002-2765-0922
Livia Casciola-RosenJohns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-4172-1539
Ami A ShahJohns Hopkins University, Baltimore, Maryland.ORCID 0000-0002-1139-2009
Johns Hopkins University · USUniversity of Pittsburgh Medical Center · US

Funding

Sample Processing and Immunoassay Research CoreP30AR070254 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI Antony Rosen · 2016 to 2026
$8.9M
Autoantibodies Define Scleroderma Subgroups with Distinct Relationships to CancerR01AR073208 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI LIVIA A CASCIOLA-ROSEN, Ami Aalok Shah · 2018 to 2026
$5.2M
Harnessing multivariate patient- and population-level disease trajectories to predict major clinical events in sclerodermaK24AR080217 · NIAMS · JOHNS HOPKINS UNIVERSITY · PI Ami Aalok Shah · 2022 to 2026
$847k
NIAMS NIH HHS K24 AR080217NIAMS NIH HHS K24-AR-080217NIAMS NIH HHS P30 AR070254NIAMS NIH HHS P30-AR-070254NIAMS NIH HHS R01 AR073208NIAMS NIH HHS R01-AR-073208
6 · The paper itself

Abstract

objectivesWe examined whether an array of scleroderma autoantibodies associates with risk of cancer and could be useful tools for risk stratification.

methodsScleroderma cancer cases and scleroderma controls without cancer from the Johns Hopkins Scleroderma Center and the University of Pittsburgh Scleroderma Center were studied. Sera were assayed by Lineblot and enzyme-linked immunosorbent assay (ELISA) for autoantibodies against centromere, topoisomerase 1, RNA polymerase (POLR) 3, PM/Scl, Th/To, NOR90, U3 RNP, Ku, Ro52, U1RNP, and RNPC3. Logistic regression models were constructed to examine whether distinct autoantibodies associated with overall cancer at any time and cancer-associated scleroderma (cancer occurring three years before and after scleroderma onset). The effects of having more than one autoantibody on cancer were further examined using random forest analysis.

resultsA total of 676 cases and 687 controls were studied. After adjusting for relevant covariates, anti-POLR3 (odds ratio [OR] 1.47, 95% confidence interval [CI] 1.03-2.11) and monospecific anti-Ro52 (OR 2.19, 95% CI 1.29-3.74) were associated with an increased overall cancer risk, whereas anticentromere (OR 0.69, 95% CI 0.51-0.93) and anti-U1RNP (OR 0.63, 95% CI 0.43-0.93) were associated with lower risk. When examining risk of cancer-associated scleroderma, these immune responses remained associated with increased or decreased risk: anti-POLR3 (OR 2.28, 95% CI 1.33-3.91), monospecific anti-Ro52 (OR 2.58, 95% CI 1.05-6.30), anticentromere (OR 0.39, 95% CI 0.20-0.74), and anti-U1RNP (OR 0.32, 95% CI 0.11-0.93). Anti-Ro52 plus anti-U1RNP or anti-Th/To was associated with decreased cancer risk compared with anti-Ro52 alone.

conclusionsThese data suggest that five distinct scleroderma immune responses, alone or in combination, may be useful tools to stratify the risk of cancer for scleroderma patients. Further study examining cancer risk in autoantibody subgroups relative to the general population is warranted.

Indexed as

NeoplasmsScleroderma, LocalizedScleroderma, SystemicAutoantibodiesDisease ProgressionHumansLogistic ModelsNuclear ProteinsRNA-Binding ProteinsRNA Polymerase IIIAutoantibodiesNuclear ProteinsRNA-Binding ProteinsRNA Polymerase IIIRNPC3 protein, human

Identifiers

PMID37488962
PMCPMC10807373
OpenAlexW4385230132

What OpenQuestion holds

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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.