Evidence map›Paper›PMID 29520570›Full record

ArticlePathology oncology research : POR2018

Diagnostic Model of Serum miR-193a-5p, HE4 and CA125 Improves the Diagnostic Efficacy of Epithelium Ovarian Cancer.

Xiaojuan Ren, Hui Zhang, Hui Cong, Xudong Wang, Hongbing Ni, Xianjuan Shen, Shaoqing Ju

Abstract read
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In one paragraph

Article in Pathology oncology research : POR, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 19% 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

20 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  8. Article
  9. Role of Circulating Biomarkers in Platinum-Resistant Ovarian Cancer.International journal of molecular sciences · 2021
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  19. Circulating non-coding RNAs in recurrent and metastatic ovarian cancer.Cancer drug resistance (Alhambra, Calif.) · 2019
    Review
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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

7 authors at 2 institutions in 1 country.

Xiaojuan RenDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, #20 Xisi Road, Nantong, 226001, JS, People's Republic of China.
Hui ZhangLaboratory Medicine Center, Nantong Tumor Hospital, #48 Qingnian Road, Nantong, 226001, JS, People's Republic of China.
Hui CongDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, #20 Xisi Road, Nantong, 226001, JS, People's Republic of China.
Xudong WangDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, #20 Xisi Road, Nantong, 226001, JS, People's Republic of China.
Hongbing NiDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, #20 Xisi Road, Nantong, 226001, JS, People's Republic of China.
Xianjuan ShenDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, #20 Xisi Road, Nantong, 226001, JS, People's Republic of China. juanxia819@163.com.
Shaoqing JuDepartment of Laboratory Medicine, Affiliated Hospital of Nantong University, #20 Xisi Road, Nantong, 226001, JS, People's Republic of China. jsq814@hotmail.com.ORCID http://orcid.org/0000-0002-2554-2776
Nantong University · CNNantong Tumor Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Epithelium ovarian cancer (EOC) is currently the prevalent malignant cancer worldwide. However, there is a lack of efficient biomarkers for EOC screening. Accumulating evidence reveals that serum miRNA detectable in various types of cancer. Therefore, we explore the diagnostic value of combined detection of plasma miR-193a-5p, HE4 and CA125 for EOC. Serum samples were collected from 45 patients with primary EOC, 30 patients with benign ovarian tumor patients and 40 healthy controls. The expression of serum miR-193a-5p was detected by real-time quantitative PCR, and serum HE4 and CA125 were detected by chemiluminescent immunoassay. Moreover, a diagnostic model combining miR-193a-5p, HE4 and CA125 or alone in EOC patients was evaluated by ROC curve analysis. The relative expression quantity (RQ) of serum miR-193a-5p in EOC patients, benign ovarian tumor patients and healthy control groups were 0.419 (0.093, 2.215), 3.667 (1.633, 6.691) and 1.130 (1.000, 7.087), respectively. The RQ of serum miR-193a-5p in EOC patients was significantly lower than that in benign ovarian tumor patients and healthy controls (both P < 0.001), and there was no significant difference between benign ovarian tumor patients and healthy controls (both P > 0.05). There was no significant correlation between serum miR-193-5p, HE4 and CA125 levels (both P > 0.05). Additionally a risk model for miR-193a-5p, HE4 and CA125 was correlated with Grading and Lymph node metastasis (P = 0.016, P = 0.029). The area under the receiver operating characteristic curve of a risk model for distinguishing EOC patients from healthy individuals was 0.996, which higher than any single biomarker. Combined detection of miR-193-5p, HE4 and CA125 by logistic regression analysis could greatly improved the diagnostic ability of EOC and may prove to be a candidate biomarker, providing new directions for further investigation.

Indexed as

AdultAgedArea Under CurveBiomarkers, TumorCA-125 AntigenCarcinoma, Ovarian EpithelialFemaleHumansMembrane ProteinsMicroRNAsMiddle AgedNeoplasms, Glandular and EpithelialOvarian NeoplasmsProteinsROC CurveSensitivity and SpecificityBiomarkers, TumorCA-125 AntigenMembrane ProteinsMicroRNAsMIRN193 microRNA, humanMUC16 protein, humanProteinsWAP Four-Disulfide Core Domain Protein 2WFDC2 protein, humanCA125Epithelium ovarian cancerHE4miR-193a-5pmiRNA

Identifiers

PMID29520570
OpenAlexW2790030889

What OpenQuestion holds

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Read underepoch 390

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.