Evidence map›Paper›PMID 30289582›Full record

ArticleCancer science2018

Efficacy of liquid-based genetic diagnosis of endometrial cancer.

Motoki Matsuura, Kiyoshi Yamaguchi, Masato Tamate, Seiro Satohisa, Mizue Teramoto, Masahiro Iwasaki, Shintaro Sugita, Tadashi Hasegawa, Rika Koubo, Kiyoko Takane and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Cancer science, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 15 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

13 authors at 2 institutions in 2 countries.

Motoki MatsuuraDepartment of Obstetrics and Gynecology, Sapporo Medical University, Sapporo, Japan.ORCID http://orcid.org/0000-0002-6589-6480
Kiyoshi YamaguchiDivision of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Masato TamateDepartment of Obstetrics and Gynecology, Sapporo Medical University, Sapporo, Japan.
Seiro SatohisaDepartment of Obstetrics and Gynecology, Sapporo Medical University, Sapporo, Japan.
Mizue TeramotoDepartment of Obstetrics and Gynecology, Sapporo Medical University, Sapporo, Japan.
Masahiro IwasakiDepartment of Obstetrics and Gynecology, Sapporo Medical University, Sapporo, Japan.
Shintaro SugitaDepartment of Surgical Pathology, Sapporo Medical University, Sapporo, Japan.
Tadashi HasegawaDepartment of Surgical Pathology, Sapporo Medical University, Sapporo, Japan.
Rika KouboDivision of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Kiyoko TakaneDivision of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Tsuneo IkenoueDivision of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Yoichi FurukawaDivision of Clinical Genome Research, Advanced Clinical Research Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Tsuyoshi SaitoDepartment of Obstetrics and Gynecology, Sapporo Medical University, Sapporo, Japan.
Sapporo Medical University · JPInstitute for Advanced Medical Research · US

Funding

Institute of Medical ScienceUniversity of Tokyo 2018-2110
6 · The paper itself

Abstract

Although liquid-based cytology (LBC) has increased the sensitivity of cytological diagnosis of endometrial cancer (EC) compared with conventional smear cytology, the sensitivity of LBC for the detection of EC is between 70% and 96% and remains unsatisfactory. In the present study, we compared the efficacy of LBC with liquid-based genetic diagnosis (LBGDx) by amplicon sequencing of five genes including PTEN, PIK3CA, CTNNB1, KRAS, and TP53 in 48 LBC subjects who underwent endometrial screening. Consequently, LBC classified 15 samples as "positive or suspicious for malignancy" and the 15 were later confirmed as EC. However, LBC failed to identify five cases who were diagnosed as EC by additional transvaginal ultrasound and endometrial curettage, indicating that the sensitivity of cytology alone was 75% (15/20). LBGDx identified 11 pathogenic PTEN variants in 10 subjects, six PIK3CA variants in nine, three CTNNB1 variants in five, two KRAS variants in four, and three TP53 variants in three. Collectively, at least one pathogenic variant was identified in 19 subjects, which included 17 EC (15 endometrioid carcinoma and 2 endometrial carcinosarcomas), and one cervical adenocarcinoma. However, LBGDx did not identify any pathogenic mutations in three of the 20 EC, indicating that the sensitivity of LBGDx alone was 85% (17/20). Although five EC were negative for malignancy by LBC and three were negative for pathogenic mutations by LBGDx, the combination of LBC and LBGDx would successfully diagnose all 20 EC. These data suggested that LBGDx is a useful strategy to improve the sensitivity of screening of EC by LBC.

Indexed as

beta CateninClass I Phosphatidylinositol 3-KinasesCytodiagnosisDNA, NeoplasmEndometrial NeoplasmsFemaleGenetic VariationHumansProto-Oncogene Proteins p21(ras)PTEN PhosphohydrolaseSensitivity and SpecificitySequence Analysis, DNATumor Suppressor Protein p53beta CateninClass I Phosphatidylinositol 3-KinasesCTNNB1 protein, humanDNA, NeoplasmKRAS protein, humanPIK3CA protein, humanProto-Oncogene Proteins p21(ras)PTEN PhosphohydrolasePTEN protein, humanTP53 protein, humanTumor Suppressor Protein p53amplicon sequencingendometrial cancerendometrial cytologygenetic diagnosisliquid-based cytology

Identifiers

PMID30289582
PMCPMC6272085
OpenAlexW2894827688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.