Evidence map›Paper›PMID 34489945›Full record

ArticleFrontiers in immunology2021

Serum Anti-PDLIM1 Autoantibody as Diagnostic Marker in Ovarian Cancer.

Cuipeng Qiu, Yaru Duan, Bofei Wang, Jianxiang Shi, Peng Wang, Hua Ye, Liping Dai, Jianying Zhang, Xiao Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
5.8field-weighted citation impact, top 3% 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

22 citing papers in PubMed, 48 citations in OpenAlex.

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  20. Molecular Biomarkers for the Early Detection of Ovarian Cancer.International journal of molecular sciences · 2022
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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

9 authors at 2 institutions in 1 country.

Cuipeng QiuHenan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
Yaru DuanSchool of Basic Medical Sciences, Academy of Medical Sciences, Zhengzhou University, Zhengzhou, China.
Bofei WangState Key Laboratory of Esophageal Cancer Prevention and Treatment & Henan Key Laboratory of Tumor Epidemiology, Zhengzhou, China.
Jianxiang ShiHenan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
Peng WangState Key Laboratory of Esophageal Cancer Prevention and Treatment & Henan Key Laboratory of Tumor Epidemiology, Zhengzhou, China.
Hua YeState Key Laboratory of Esophageal Cancer Prevention and Treatment & Henan Key Laboratory of Tumor Epidemiology, Zhengzhou, China.
Liping DaiHenan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
Jianying ZhangHenan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
Xiao WangHenan Institute of Medical and Pharmaceutical Sciences, Zhengzhou University, Zhengzhou, China.
Chinese Center For Disease Control and Prevention · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Serum autoantibodies (AAbs) against tumor-associated antigens (TAAs) could be useful biomarkers for cancer detection. This study aims to evaluate the diagnostic value of autoantibody against PDLIM1 for improving the detection of ovarian cancer (OC). Methods: Immunohistochemistry (IHC) test in tissue array containing 280 OC tissues, 20 adjacent tissues, and 8 normal ovarian tissues was performed to analyze the expression of PDLIM1 in tissues. Enzyme-linked immunosorbent assay (ELISA) was employed to measure the autoantibody to PDLIM1 in 545 sera samples from 182 patients with OC, 181 patients with ovarian benign diseases, and 182 healthy controls. Results: The results of IHC indicated that 84.3% (236/280) OC tissues were positively stained with PDLIM1, while no positive staining was found in adjacent or normal ovarian tissues. The frequency of anti-PDLIM1 autoantibody was significantly higher in OC patients than that in healthy and ovarian benign controls in both training (n=122) and validation (n=423) sets. The area under the curves (AUCs) of anti-PDLIM1 autoantibody for discriminating OC from healthy controls were 0.765 in training set and 0.740 in validation set, and the AUC of anti-PDLIM1 autoantibody for discriminating OC from ovarian benign controls was 0.757 in validation set. Overall, it was able to distinguish 35.7% of OC, 40.6% of patients with early-stage, and 39.5% of patients with late-stage. When combined with CA125, the AUC increased to 0.846, and 79.2% of OC were detected, which is statistically higher than CA125 (61.7%) or anti-PDLIM1(35.7%) alone ( Conclusions: The anti-PDLIM1 autoantibody response in OC patients was positively correlated with PDLIM1 high expression in OC tissues, suggesting that the autoantibody against PDLIM1 might have the potential to be a novel serological biomarker of OC, serving as a complementary measure of CA125, which could improve the power of OC detection.

Indexed as

AdultAgedAutoantibodiesAutoantigensBiomarkers, TumorFemaleHumansLIM Domain ProteinsMiddle AgedOvarian NeoplasmsTranscription FactorsAutoantibodiesAutoantigensBiomarkers, TumorLDB2 protein, humanLIM Domain ProteinsTranscription Factorsautoantibodydiagnostic markerovarian cancerPDLIM1tumor-associated antigens

Identifiers

PMID34489945
PMCPMC8417125
OpenAlexW3193308029

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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.