Evidence map›Paper›PMID 35011963›Full record

ArticleJournal of clinical medicine2021

Placental Leucine Aminopeptidase as a Potential Specific Urine Biomarker for Invasive Ovarian Cancer.

Tetsuya Matsukawa, Shigehiko Mizutani, Kunio Matsumoto, Yukio Kato, Masato Yoshihara, Hiroaki Kajiyama, Kiyosumi Shibata

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–field-weighted citation impact
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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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4 · The record

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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.

Tetsuya MatsukawaDepartment of Obstetrics and Gynecology, Fujita Health University Bantane Hospital, Aichi 454-8509, Japan.
Shigehiko MizutaniDaiyabilding Lady's Clinic, Aichi 451-0045, Japan.
Kunio MatsumotoDivision of Tumor Dynamics and Regulation, Cancer Research Institute, Kanazawa University, Kanazawa 920-1192, Japan.ORCID 0000-0002-6532-4482
Yukio KatoDepartment of Molecular Pharmacotherapeutics, Faculty of Pharmacy, Kanazawa University, Kanazawa 920-1192, Japan.ORCID 0000-0001-8135-5679
Masato YoshiharaDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Aichi 466-8550, Japan.ORCID 0000-0001-5811-3137
Hiroaki KajiyamaDepartment of Obstetrics and Gynecology, Nagoya University Graduate School of Medicine, Aichi 466-8550, Japan.ORCID 0000-0003-0493-1825
Kiyosumi ShibataDepartment of Obstetrics and Gynecology, Fujita Health University Bantane Hospital, Aichi 454-8509, Japan.

Funding

the Research Foundation of Showakai n/a
6 · The paper itself

Abstract

backgroundA non-invasive and sensitive biomarker for the detection of ovarian cancer (OvCa) is lacking. We aim to investigate if urinary placental leucine aminopeptidase (P-LAP) can serve as a reliable biomarker for OvCa.

methodsP-LAP activity was measured using a LAP assay kit (Serotech Co., Ltd., Sapporo, Japan) in the urine of 22 patients with benign or borderline malignant ovarian tumors and 18 patients with OvCa. In this assay, L-methionine was added at 20 mM because P-LAP is functional, but other aminopeptidases are inhibited at this dose of L-methionine.

resultsThe mean urinary P-LAP activity was significantly higher in the OvCa group than in the benign or borderline malignant tumor group. When the cut-off value of P-LAP was determined as 11.00 U/L, its sensitivity and specificity for differentiating invasive cancer were 77.8% and 95.5%, respectively.

conclusionAlthough the usefulness of this test should be confirmed in a larger cohort of cases and controls, our study is the first to highlight the importance of urinary P-LAP as a biomarker for OvCa.

Indexed as

leucine aminopeptidaseovarian cancerplacentaurine biomarker

Identifiers

PMID35011963
PMCPMC8746293

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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.