Evidence map›Paper›PMID 35579337›Full record

ArticleRheumatology (Oxford, England)2022

ELISA, protein immunoprecipitation and line blot assays for anti-TIF1-gamma autoantibody detection in cancer-associated dermatomyositis.

Sandra Selickaja, Angeles S Galindo-Feria, Lara Dani, Tsuneyo Mimori, Johan Rönnelid, Marie Holmqvist, Ingrid E Lundberg, Paulius Venalis

Open access · hybridAbstract read
In one paragraph

Article in Rheumatology (Oxford, England), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Autoantibodies as biomarkers of cancer risk in dermatomyositis.JID innovations : skin science from molecules to population health · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
    Review
  8. Article
  9. Article
  10. Review
  11. Article
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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

8 authors at 4 institutions in 3 countries.

Sandra SelickajaDepartment of Experimental, Preventive and Clinical Medicine, Center for Innovative Medicine.ORCID 0000-0001-7537-702X
Angeles S Galindo-FeriaDivision of Rheumatology, Department of Medicine, Solna, Karolinska Institutet.ORCID 0000-0001-7095-211X
Lara DaniDivision of Rheumatology, Department of Medicine, Solna, Karolinska Institutet.
Tsuneyo MimoriDepartment of Rheumatology and Clinical Immunology, Kyoto University Graduate school of Medicine.
Johan RönnelidDepartment Immunology, Genetics and Pathology, Uppsala University, Uppsala.ORCID 0000-0003-1186-3226
Marie HolmqvistDivision of Rheumatology, Karolinska University Hospital, Stockholm, Sweden.ORCID 0000-0001-8996-5260
Ingrid E LundbergDivision of Rheumatology, Department of Medicine, Solna, Karolinska Institutet.ORCID 0000-0002-6068-9212
Paulius VenalisDivision of Rheumatology, Karolinska University Hospital, Stockholm, Sweden.
Karolinska University Hospital · SEKyoto University · JPUppsala University · SEVilnius University · LT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAnti-TIF1-gamma autoantibodies can be detected with immunoprecipitation (IP), line blot (LB) and ELISA. We compared assay performance in patients with DM and the potential of these assays to detect anti-TIF1-gamma positive cancer-associated DM (CADM).

methodsWe included sera from 131 patients with DM followed at Karolinska University Hospital, Stockholm, Sweden and 82 healthy controls. Serum samples taken at DM diagnosis were tested for anti-TIF1-gamma autoantibodies with IP, two ELISAs (in-house and commercial) and LB. Cancer diagnosis and dates were obtained from the Swedish national cancer register. CADM was defined as a malignancy that developed within 3 years of DM diagnosis.

resultsAnti-TIF1-gamma autoantibodies were detected in 19/101 (18.8%), 15/113 (13.2%), 34/131 (26%) and 45/131 (34.4%) of the patients with IP, LB, in-house and commercial ELISA, respectively. The anti-TIF1-gamma results from the in-house ELISA were confirmed with IP in 93 of 101 (92%) cases, κ = 0.76, with a commercial ELISA in 110 of 131 (84%) cases, κ = 0.63, and with LB in 101 of 113 (89.3%) cases, κ = 0.67. Anti-TIF1-gamma results with IP were confirmed with LB in 85 of 92 (92.4%) cases, κ = 0.73. For detecting CADM, the anti-TIF1-gamma in-house ELISA had a sensitivity of 58% and specificity of 86%, the commercial ELISA had a sensitivity of 63% and specificity of 82%, IP had a sensitivity of 52% and specificity of 92%, LB had a sensitivity of 40% and specificity of 96%.

conclusionThe two anti-TIF1-gamma ELISA assays had advantages both for autoantibody detection and to identify anti-TIF1-gamma-positive CADM.

Indexed as

DermatomyositisNeoplasmsAutoantibodiesEnzyme-Linked Immunosorbent AssayHumansImmunoprecipitationAutoantibodiesAnti-TIF1-gammacancer-associated DMELISAimmunoprecipitationline blot

Identifiers

PMID35579337
PMCPMC9707101
OpenAlexW4280544509

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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.