Evidence map›Paper›PMID 35273656›Full record

ArticleDisease markers2022

Serum Autoantibodies against LRDD, STC1, and FOXA1 as Biomarkers in the Detection of Ovarian Cancer.

Yaru Duan, Chi Cui, Cuipeng Qiu, Guiying Sun, Xiao Wang, Peng Wang, Hua Ye, Liping Dai, Jianxiang Shi

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Emerging phagocytosis checkpoints in cancer immunotherapy.Signal transduction and targeted therapy · 2023
    Review
  10. Molecular Biomarkers for the Early Detection of Ovarian Cancer.International journal of molecular sciences · 2022
    Review
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

9 authors at 1 institution in 1 country.

Yaru DuanSchool of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, 450001 Henan, China.ORCID https://orcid.org/0000-0001-8654-2705
Chi CuiBGI College & Henan Institute of Medical and Pharmaceutical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, 450052 Henan, China.ORCID https://orcid.org/0000-0002-0657-3163
Cuipeng QiuHenan Key Laboratory of Tumor Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450052 Henan, China.ORCID https://orcid.org/0000-0002-3956-0430
Guiying SunHenan Key Laboratory of Tumor Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450052 Henan, China.ORCID https://orcid.org/0000-0002-6717-7228
Xiao WangBGI College & Henan Institute of Medical and Pharmaceutical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, 450052 Henan, China.ORCID https://orcid.org/0000-0002-9323-8602
Peng WangHenan Key Laboratory of Tumor Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450052 Henan, China.ORCID https://orcid.org/0000-0003-4666-9706
Hua YeHenan Key Laboratory of Tumor Epidemiology, College of Public Health, Zhengzhou University, Zhengzhou, 450052 Henan, China.ORCID https://orcid.org/0000-0003-3657-2417
Liping DaiBGI College & Henan Institute of Medical and Pharmaceutical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, 450052 Henan, China.ORCID https://orcid.org/0000-0002-5531-1776
Jianxiang ShiBGI College & Henan Institute of Medical and Pharmaceutical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, 450052 Henan, China.ORCID https://orcid.org/0000-0002-4346-3895
Zhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This study is aimed at evaluating serum autoantibodies against four tumor-associated antigens, including LRDD, STC1, FOXA1, and EDNRB, as biomarkers in the immunodiagnosis of ovarian cancer (OC). Methods: The autoantibodies against LRDD, STC1, FOXA1, and EDNRB were measured using an enzyme-linked immunosorbent assay (ELISA) in 94 OC patients and 94 normal healthy controls (NHC) in the research group. In addition, the diagnostic values of different autoantibodies were validated in another independent validation group, which comprised 136 OC patients, 136 NHC, and 181 patients with benign ovarian diseases (BOD). Results: In the research group, autoantibodies against LRDD, STC1, and FOXA1 had higher serum titer in OC patients than NHC ( Conclusion: Serum autoantibodies against LRDD, STC1, and FOXA1 have potential diagnostic values in detecting OC.

Indexed as

AdolescentAdultAgedAged, 80 and overAutoantibodiesBiomarkers, TumorDeath Domain Receptor Signaling Adaptor ProteinsFemaleHepatocyte Nuclear Factor 3-alphaHumansMiddle AgedOvarian NeoplasmsReceptors, Cell SurfaceRetrospective StudiesYoung AdultAutoantibodiesBiomarkers, TumorDeath Domain Receptor Signaling Adaptor ProteinsFOXA1 protein, humanHepatocyte Nuclear Factor 3-alphaPIDD1 protein, humanReceptors, Cell Surfacestanniocalcin-1 receptor, human

Identifiers

PMID35273656
PMCPMC8904091
OpenAlexW4214901077

What Socratic 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 Socratic graph.