Evidence map›Paper›PMID 38684875›Full record

ArticleScientific reports2024

Serum anti-CFL1, anti-EZR, and anti-CYPA autoantibody as diagnostic markers in ovarian cancer.

Yifan Cheng, Qing Li, Guiying Sun, Tiandong Li, Yuanlin Zou, Hua Ye, Keyan Wang, Jianxiang Shi, Peng Wang

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Review
  2. 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 2 institutions in 1 country.

Yifan ChengCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Province, China.
Qing LiHenan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, 450052, Henan Province, China.
Guiying SunCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Province, China.
Tiandong LiCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Province, China.
Yuanlin ZouCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Province, China.
Hua YeCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Province, China.
Keyan WangHenan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450052, Henan Province, China.
Jianxiang ShiHenan Key Laboratory of Tumor Epidemiology and State Key Laboratory of Esophageal Cancer Prevention and Treatment, Zhengzhou University, Zhengzhou, 450052, Henan Province, China.
Peng WangCollege of Public Health, Zhengzhou University, Zhengzhou, 450001, Henan Province, China. wangpeng1658@hotmail.com.
Zhengzhou University · CNHenan Academy of Sciences · CN

Funding

the Zhengzhou Major Project for Collaborative Innovation 18XTZX12007
6 · The paper itself

Abstract

The purpose of this study was to identify novel autoantibodies against tumor-associated antigens (TAAs) and explore a diagnostic panel for Ovarian cancer (OC). Enzyme-linked immunosorbent assay was used to detect the expression of five anti-TAA autoantibodies in the discovery (70 OC and 70 normal controls) and validation cohorts (128 OC and 128 normal controls). Machine learning methods were used to construct a diagnostic panel. Serum samples from 81 patients with benign ovarian disease were used to identify the specificity of anti-TAA autoantibodies for OC. In both the discovery and validation cohorts, the expression of anti-CFL1, anti-EZR, anti-CYPA, and anti-PFN1 was higher in patients with OC than that in normal controls. The area under the receiver operating characteristic curve, sensitivity, and specificity of the panel containing anti-CFL1, anti-EZR, and anti-CYPA were 0.762, 55.56%, and 81.31%. The panel identified 53.06%, 53.33%, and 51.11% of CA125 negative, HE4 negative and the Risk of Ovarian Malignancy Algorithm negative OC patients, respectively. The combination of the three anti-TAA autoantibodies can serve as a favorable diagnostic tool for OC and has the potential to be a complementary biomarker for CA125 and HE4 in the diagnosis of ovarian cancer.

Indexed as

AutoantibodiesBiomarkers, TumorOvarian NeoplasmsAdultAgedAntigens, NeoplasmCA-125 AntigenCase-Control StudiesFemaleHumansMiddle AgedROC CurveSensitivity and SpecificityAntigens, NeoplasmAutoantibodiesBiomarkers, TumorCA-125 AntigenDiagnostic markerOvarian cancerTumor-associated antigensTumor-associated autoantibodies

Identifiers

PMID38684875
PMCPMC11058243
OpenAlexW4396224795

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.