Evidence map›Paper›PMID 30972954›Full record

ArticleMolecular genetics & genomic medicine2019

Comprehensive analysis of serum tumor markers and BRCA1/2 germline mutations in Chinese ovarian cancer patients.

Hongyu Deng, Ming Chen, Xinwu Guo, Jianfu Heng, Xunxun Xu, Limin Peng, Hui Jiang, Guoli Li, Julia X Day, Jinliang Li and 7 more

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Identification ofFrontiers in oncology · 2021
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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

17 authors at 2 institutions in 1 country.

Hongyu DengDepartment of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, China.
Ming ChenSanway Gene Technology Inc., Changsha, China.
Xinwu GuoSanway Gene Technology Inc., Changsha, China.
Jianfu HengHunan Cancer Hospital & The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Xunxun XuSanway Gene Technology Inc., Changsha, China.
Limin PengSanway Gene Technology Inc., Changsha, China.
Hui JiangSchool of Life Sciences, Central South University, Changsha, China.
Guoli LiSchool of Life Sciences, Central South University, Changsha, China.
Julia X DaySanway Gene Technology Inc., Changsha, China.
Jinliang LiSchool of Life Sciences, Central South University, Changsha, China.
Dongyong ShanDepartment of Oncology, The Third Xiangya Hospital of Central South University, Changsha, China.
Yinghua LiHunan Cancer Hospital & The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Yanjie ZhouHunan Cancer Hospital & The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, China.
Bin LiuDepartment of Obstetrics and Gynecology, Dalian Municipal Central Hospital Affiliated to Dalian Medical University, Dalian, China.
Lizhong DaiSanway Gene Technology Inc., Changsha, China.
Xiaochun WangDepartment of Laboratory Medicine, Xiangya School of Medicine, Central South University, Changsha, China.
Jun WangSanway Gene Technology Inc., Changsha, China.ORCID 0000-0001-8008-4563
Central South University · CNDalian Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe serum tumor markers has been widely used in ovarian cancer diagnosis. BRCA1/2 germline mutations are the most common predisposing factors for ovarian cancer development. This study aimed to comprehensively investigate serum tumor markers and BRCA1/2 germline mutations and analyze their associations with ovarian cancer.

methodsLevels of 11 serum tumor markers were examined in ovarian cancer patients and controls with benign gynecologic diseases. By integrating multiplex PCR and next-generation sequencing technologies, BRCA1/2 germline mutations were analyzed and confirmed by Sanger sequencing. The discriminative models with serum tumor markers and BRCA1/2 mutation status were constructed for ovarian cancer detection and patient stratification.

resultsAmong 11 markers, six of them were significantly elevated and only beta-human chorionic gonadotropin (β-HCG) was significantly reduced in ovarian cancer patients. A total of 54 (23.3%) ovarian cancer patients were found to harbor BRCA1/2 deleterious mutations, and BRCA1/2 mutations were significantly associated with Hereditary Breast and Ovarian Cancer-related tumors and family history of cancer. Carbohydrate antigen 125 showed a good performance in ovarian cancer detection as a single marker (AUC = 0.799), while a panel of eight markers showed a good performance in BRCA1 mutation detection with an AUC value of 0.974. In addition, a panel of five serum tumor markers combined with BRCA1/2 mutation status showed a good performance in lymph node metastasis prediction (AUC = 0.843).

conclusionsWe found the association between BRCA1/2 germline mutation status and serum tumor marker levels, and identified discriminative models that combined serum tumor markers with BRCA1/2 mutation status for ovarian cancer detection and patient stratification.

Indexed as

AdultAgedAsian PeopleBiomarkers, TumorBRCA1 ProteinBRCA2 ProteinBreast NeoplasmsChinaFemaleGenetic Predisposition to DiseaseGerm-Line MutationHigh-Throughput Nucleotide SequencingHumansMiddle AgedOvarian NeoplasmsBiomarkers, TumorBRCA1 ProteinBRCA1 protein, humanBRCA2 ProteinBRCA2 protein, humanBRCA1/2 mutationnext-generation sequencingovarian cancerserum tumor markers

Identifiers

PMID30972954
PMCPMC6565576
OpenAlexW2938764589

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.