Evidence map›Paper›PMID 34009487›Full record

ArticleInternational journal of clinical oncology2021

Validation of tissue factor pathway inhibitor 2 as a specific biomarker for preoperative prediction of clear cell carcinoma of the ovary.

Etsuko Miyagi, Noriaki Arakawa, Kentaro Sakamaki, Naho Ruiz Yokota, Takeharu Yamanaka, Yuki Yamada, Satoshi Yamaguchi, Shoji Nagao, Yasuyuki Hirashima, Yuka Kasamatsu and 4 more

Open access · hybridAbstract read
In one paragraph

Article in International journal of clinical oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 32 citations in OpenAlex.

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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

14 authors at 6 institutions in 1 country.

Etsuko MiyagiDepartment of Obstetrics and Gynecology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan. emiyagi@yokohama-cu.ac.jp.ORCID http://orcid.org/0000-0002-5492-0844
Noriaki ArakawaDepartment of Medical Life Science, Graduate School of Medical Life Science, Yokohama City University, Yokohama, Japan.
Kentaro SakamakiDepartment of Biostatistics, Center for Novel and Explanatory Clinical Trials (Y-NEXT), Yokohama, Japan.
Naho Ruiz YokotaDepartment of Obstetrics and Gynecology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan.
Takeharu YamanakaDepartment of Biostatistics, Center for Novel and Explanatory Clinical Trials (Y-NEXT), Yokohama, Japan.
Yuki YamadaDepartment of Obstetrics and Gynecology, Nara Medical University, Nara, Japan.
Satoshi YamaguchiDepartment of Gynecology, Hyogo Cancer Center, Hyogo, Japan.
Shoji NagaoDepartment of Gynecology, Hyogo Cancer Center, Hyogo, Japan.
Yasuyuki HirashimaDepartment of Gynecology, Shizuoka Cancer Center, Shizuoka, Japan.
Yuka KasamatsuDepartment of Gynecology, Shizuoka Cancer Center, Shizuoka, Japan.
Hisamori KatoDepartment of Gynecology, Kanagawa Cancer Center Research Institute, Yokohama, Japan.
Tae MogamiDepartment of Obstetrics and Gynecology, Yokohama City University Graduate School of Medicine, 3-9 Fukuura, Kanazawa-ku, Yokohama, Kanagawa, 236-0004, Japan.
Yohei MiyagiMolecular Pathology and Genetics Division, Kanagawa Cancer Center, Yokohama, Japan.
Hiroshi KobayashiDepartment of Obstetrics and Gynecology, Nara Medical University, Nara, Japan.
Kanagawa Prefectural Hospital Organization · JPYokohama City University · JPHyogo Prefectural Cancer Center · JPNara Medical University · JPShizuoka Cancer Center · JPNational Institute of Health Sciences · JP

Funding

Toso Corporation (Japan) 1620301001
6 · The paper itself

Abstract

backgroundTissue factor pathway inhibitor 2 (TFPI2) is a novel serum biomarker that discriminates ovarian clear cell carcinoma (CCC) from borderline ovarian tumors (BOTs) and non-clear cell epithelial ovarian cancers (EOCs). Here, we examined the performance of TFPI2 for preoperative diagnosis of CCC.

methodsSerum samples were obtained preoperatively from patients with ovarian masses, who needed surgical treatment at five hospitals in Japan. The diagnostic powers of TFPI2 and cancer antigen 125 (CA125) serum levels to discriminate CCC from BOTs, other EOCs, and benign lesions were compared.

resultsA total of 351 patients including 69 CCCs were analyzed. Serum TFPI2 levels were significantly higher in CCC patients (mean ± SD, 508.2 ± 812.0 pg/mL) than in patients with benign lesions (154.7 ± 46.5), BOTs (181 ± 95.5) and other EOCs (265.4 ± 289.1). TFPI2 had a high diagnostic specificity for CCC (79.5%). In patients with benign ovarian endometriosis, no patient was positive for TFPI2, but 71.4% (15/21) were CA125 positive. TFPI2 showed good performance in discriminating stage II-IV CCC from BOTs and other EOCs (AUC 0.815 for TFPI2 versus 0.505 for CA125) or endometriosis (AUC 0.957 for TFPI2 versus 0.748 for CA125). The diagnostic sensitivity of TFPI2 to discriminate CCC from BOTs and other EOCs was improved from 43.5 to 71.0% when combined with CA125.

conclusionsHigh specificity of TFPI2 for preoperative detection of CCC was verified with the defined cutoff level of TFPI2 in clinical practice. TFPI2 and CA125 may contribute substantially to precise prediction of intractable CCC.

Indexed as

Biomarkers, TumorOvarian NeoplasmsCA-125 AntigenCarcinoma, Ovarian EpithelialFemaleGlycoproteinsHumansJapanLipoproteinsBiomarkers, TumorCA-125 AntigenGlycoproteinslipoprotein-associated coagulation inhibitorLipoproteinstissue-factor-pathway inhibitor 2CA125Clear cell carcinomaOvarian cancerSerum tumor markerTFPI2

Identifiers

PMID34009487
PMCPMC8213588
OpenAlexW3162347190

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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.