Evidence map›Paper›PMID 29464077›Full record

ArticleOncotarget2018

Complement C4d-specific antibodies for the diagnosis of lung cancer.

Daniel Ajona, Marcin Okrój, María J Pajares, Jackeline Agorreta, María D Lozano, Javier J Zulueta, Carla Verri, Luca Roz, Gabriella Sozzi, Ugo Pastorino and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
2.2field-weighted citation impact, top 10% 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

32 citing papers in PubMed, 57 citations in OpenAlex.

  1. Complement system in cancer: friend or foe of immunotherapy.Journal for immunotherapy of cancer · 2026
    Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Lung cancer screening: where do we stand?Breathe (Sheffield, England) · 2024
    Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Biomarkers in Lung Cancer Screening: a Narrative Review.Current challenges in thoracic surgery · 2023
    Article
  12. Review
  13. Review
  14. Article
  15. The impact of the lung EDRN-CVC on Phase 1, 2, & 3 biomarker validation studies.Cancer biomarkers : section A of Disease markers · 2022
    Article
  16. Article
  17. Article
  18. Molecular biomarkers in early stage lung cancer.Translational lung cancer research · 2021
    Review
  19. Review
  20. 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

14 authors at 8 institutions in 6 countries.

Daniel AjonaProgram in Solid Tumors, Center for Applied Medical Research (CIMA), CIBERONC, and Navarra's Health Research Institute (IDISNA), Pamplona, Spain.
Marcin OkrójLund University, Department of Translational Medicine, Section of Medical Protein Chemistry, Malmö, Sweden.
María J PajaresProgram in Solid Tumors, Center for Applied Medical Research (CIMA), CIBERONC, and Navarra's Health Research Institute (IDISNA), Pamplona, Spain.
Jackeline AgorretaProgram in Solid Tumors, Center for Applied Medical Research (CIMA), CIBERONC, and Navarra's Health Research Institute (IDISNA), Pamplona, Spain.
María D LozanoDepartment of Pathology, Clínica Universidad de Navarra, Pamplona, Spain.
Javier J ZuluetaDepartment of Pulmonary Medicine, Clínica Universidad de Navarra, Pamplona, Spain.
Carla VerriTumor Genomics Unit, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Luca RozTumor Genomics Unit, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Gabriella SozziTumor Genomics Unit, Department of Experimental Oncology and Molecular Medicine, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Ugo PastorinoThoracic Surgery Unit, Department of Surgery, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy.
Pierre P MassionThoracic Program, Vanderbilt Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, USA.
Luis M MontuengaProgram in Solid Tumors, Center for Applied Medical Research (CIMA), CIBERONC, and Navarra's Health Research Institute (IDISNA), Pamplona, Spain.
Anna M BlomLund University, Department of Translational Medicine, Section of Medical Protein Chemistry, Malmö, Sweden.
Ruben PioProgram in Solid Tumors, Center for Applied Medical Research (CIMA), CIBERONC, and Navarra's Health Research Institute (IDISNA), Pamplona, Spain.
Fondazione IRCCS Istituto Nazionale dei Tumori · ITChartered Institute of Management Accountants · GBClinica Universidad de Navarra · ESUniversidad de Navarra · ESCentro de Investigación Biomédica en Red de Cáncer · ESGdańsk Medical University · PLLund University · SEVanderbilt University Medical Center · US

Funding

Validation of Biomarkers of Risk for the Early Detection of Lung CancerU01CA152662 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI DEPPEN, STEPHEN, GROGAN, ERIC L · 2010 to 2025
$12.8M
NCI NIH HHS U01 CA152662
6 · The paper itself

Abstract

Development of molecular markers that help to identify high-risk individuals or diagnose indeterminate pulmonary nodules could have a major impact on lung cancer clinical management. In this study, we evaluated the diagnostic potential of a newly-developed ELISA that specifically detects complement C4d. We measured this marker in five independent cohorts of plasma and bronchoalveolar lavage samples from lung cancer patients and controls. In case-control studies, the area under the ROC curve for the diagnosis of lung cancer was 0.82 (95%CI = 0.72-0.92) in plasma samples, and 0.80 (95%CI = 0.69 to 0.90) in bronchoalveolar lavage fluids. In a set of plasma samples from the MILD CT-screening trial, the assay was unable to discriminate between asymptomatic high-risk individuals with or without early stage lung cancer. On the contrary, in two independent cohorts of individuals with indeterminate pulmonary nodules, plasma samples from patients with lung cancer nodules presented higher levels of C4d than those from patients with benign nodules. Using a target population of patients with 8 to 30 mm nodules, the test identified likely benign lung nodules with 84% negative predictive value and 54% positive predictive value, at 89% specificity and 44% sensitivity. In conclusion, the specific determination of C4d may serve as an adjunct to current clinical practice in the diagnosis of indeterminate pulmonary nodules.

Indexed as

biomarkercomplement C4ddiagnosisindeterminate pulmonary noduleslung cancer

Identifiers

PMID29464077
PMCPMC5814217
OpenAlexW2778895325

What OpenQuestion holds

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LicenceCC BY
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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.