Evidence map›Paper›PMID 36874112›Full record

ArticleFrontiers in oncology2023

Diagnostic value of tumor-associated autoantibodies panel in combination with traditional tumor markers for lung cancer.

Yu Xu, Wenjing Zhang, Tingting Xia, Yuliang Liu, Zhoukui Bi, Liang Guo, Weijia Xie, Ying Xiang, Zhi Xu, Zubin Yu and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 14 citations in OpenAlex.

  1. B cells in cancer: functions, mechanisms and therapeutic advances.Signal transduction and targeted therapy · 2026
    Review
  2. Review
  3. Review: Detection of Cancer Biomarkers from a Clinical Perspective.International journal of molecular sciences · 2025
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Clonal redemption of B cells in cancer.Frontiers in immunology · 2023
    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

12 authors at 3 institutions in 1 country.

Yu XuDepartment of Respiratory and Critical Care Medicine, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Wenjing ZhangDepartment of Respiratory and Critical Care Medicine, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Tingting XiaDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.
Yuliang LiuDepartment of Respiratory and Critical Care Medicine, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhoukui BiDepartment of Respiratory and Critical Care Medicine, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Liang GuoDepartment of Respiratory and Critical Care Medicine, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Weijia XieDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.
Ying XiangDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.
Zhi XuDepartment of Respiratory and Critical Care Medicine, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Zubin YuDepartment of Thoracic Surgery, North-Kuanren General Hospital, Chongqing, China.
Yafei LiDepartment of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China.
Li BaiDepartment of Respiratory and Critical Care Medicine, Xinqiao Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Army Medical University · CNXinqiao Hospital · CNChongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The diagnostic value of 7 tumor-associated autoantibodies (AABs) including p53, PGP9.5, SOX2, GAGE7, GBU4-5, MEGEA1, and CAGE for the detection of lung cancer has shown inconsistency in several studies. This study aimed to confirm the diagnostic value of 7AABs and to explore whether the diagnostic value would be improved by combining them with 7 traditional tumor-associated antigens (CEA, NSE, CA125, SCC, CA15-3, pro-GRP, and CYFRA21-1) in clinical settings. Methods: The plasma levels of 7-AABs were detected by enzyme-linked immunosorbent assay (ELISA) in 533 lung cancer cases and 454 controls. The 7 tumor antigens (7-TAs) were measured by Electrochemiluminescence immunoassay with Cobas 6000 (Roche, Basel, Switzerland). Results: The positive rate of 7-AABs in the lung cancer group (64.00%) was significantly higher than that of healthy controls (47.90%). The 7-AABs panel was able to discriminate lung cancer from controls with a specificity of 51.50%. After combining the 7-AABs with 7-TAs, the sensitivity showed a significantly enhancement compared with 7AABs panel alone (92.09% vs 63.21%). In patients with resectable lung cancer, the combination of 7-AABs and 7-TAs improved the sensitivity from 63.52% to 97.42. Discussion: In conclusion, our study found that the diagnostic value of 7-AABs was enhanced when combined with 7-TAs. This combined panel could be used as promising biomarker to detect resectable lung cancer in clinical settings.

Indexed as

biomarkersearly diagnostic valuelung cancertumor-associated antigenstumor-associated autoantibodies

Identifiers

PMID36874112
PMCPMC9975551
OpenAlexW4320918403

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.