Evidence map›Paper›PMID 28786985›Full record

ArticlePloS one2017

BARD1 serum autoantibodies for the detection of lung cancer.

Maxim Pilyugin, Pascaline Descloux, Pierre-Alain André, Viktoria Laszlo, Balazs Dome, Balazs Hegedus, Sylvain Sardy, Samuel Janes, Andrea Bianco, Geoffrey J Laurent and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

  1. Antibodies as biomarkers for cancer risk: a systematic review.Clinical and experimental immunology · 2022
    Pooled it
  2. BARD1: A Friend or Foe in Pancreatic Ductal Adenocarcinoma?International journal of molecular sciences · 2025
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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

11 authors at 7 institutions in 7 countries.

Maxim PilyuginMolecular Gynecology and Obstetrics Laboratory, Department of Gynecology and Obstetrics, Medical Genetics and Laboratories, Geneva University Hospitals, Geneva, Switzerland.ORCID http://orcid.org/0000-0002-8123-8859
Pascaline DesclouxDepartement of Mathematics, University of Geneva, Geneva, Switzerland.
Pierre-Alain AndréMolecular Gynecology and Obstetrics Laboratory, Department of Gynecology and Obstetrics, Medical Genetics and Laboratories, Geneva University Hospitals, Geneva, Switzerland.
Viktoria LaszloDivision of Thoracic Surgery, Department of Surgery, Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria.
Balazs DomeDivision of Thoracic Surgery, Department of Surgery, Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria.
Balazs HegedusDivision of Thoracic Surgery, Department of Surgery, Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria.
Sylvain SardyDepartement of Mathematics, University of Geneva, Geneva, Switzerland.
Samuel JanesLungs for Living Research Centre, UCL Respiratory, Rayne Institute, University College London, London, United Kingdom.
Andrea BiancoDipartimento di Medicina e Scienze della Salute "V. Tiberio", Università del Molise, Campobasso, Italy.
Geoffrey J LaurentInstitute for Respiratory Health, University of Western Australia and Harry Perkins Institute of Medical Research, Perth, Australia.
Irmgard Irminger-FingerMolecular Gynecology and Obstetrics Laboratory, Department of Gynecology and Obstetrics, Medical Genetics and Laboratories, Geneva University Hospitals, Geneva, Switzerland.
Semmelweis University · HUThe University of Western Australia · AUUniversity Hospital of Geneva · CHUniversity of Geneva · CHComprehensive Cancer Center Vienna · ATUniversity College London · GBUniversity of Molise · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeCurrently the screening for lung cancer for risk groups is based on Computed Tomography (CT) or low dose CT (LDCT); however, the lung cancer death rate has not decreased significantly with people undergoing LDCT. We aimed to develop a simple reliable blood test for early detection of all types of lung cancer based on the immunogenicity of aberrant forms of BARD1 that are specifically upregulated in lung cancer.

methodsELISA assays were performed with a panel of BARD1 epitopes to detect serum levels of antibodies against BARD1 epitopes. We tested 194 blood samples from healthy donors and lung cancer patients with a panel of 40 BARD1 antigens. Using fitted Lasso logistic regression we determined the optimal combination of BARD1 antigens to be used in ELISA for discriminating lung cancer from healthy controls. Random selection of samples for training sets or validations sets was applied to validate the accuracy of our test.

resultsFitted Lasso logistic regression models predict high accuracy of the BARD1 autoimmune antibody test with an AUC = 0.96. Validation in independent samples provided and AUC = 0.86 and identical AUCs were obtained for combined stages 1-3 and late stage 4 lung cancers. The BARD1 antibody test is highly specific for lung cancer and not breast or ovarian cancer.

conclusionThe BARD1 lung cancer test shows higher sensitivity and specificity than previously published blood tests for lung cancer detection and/or diagnosis or CT scans, and it could detect all types and all stages of lung cancer. This BARD1 lung cancer test could therefore be further developed as i) screening test for early detection of lung cancers in high-risk groups, and ii) diagnostic aid in complementing CT scan.

Indexed as

AdultAgedAged, 80 and overAutoantibodiesCase-Control StudiesEnzyme-Linked Immunosorbent AssayFemaleHumansLung NeoplasmsMaleMiddle AgedTumor Suppressor ProteinsUbiquitin-Protein LigasesAutoantibodiesBARD1 protein, humanTumor Suppressor ProteinsUbiquitin-Protein Ligases

Identifiers

PMID28786985
PMCPMC5546601
OpenAlexW2744495559

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.