Evidence map›Paper›PMID 38494731›Full record

ArticleFukushima journal of medical science2024

Differentiation of ovarian serous carcinoma from ovarian clear cell carcinoma using a 10-gene signature selected by comprehensive gene expression analysis.

Shinji Nomura, Takafumi Watanabe, Reiko Honma, Susumu Matsukura, Emi Ito, Jun-Ichi Imai, Yuichiro Kiko, Osamu Suzuki, Yuko Hashimoto, Manabu Kojima and 4 more

Abstract read
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Article in Fukushima journal of medical science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. 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

14 authors.

Shinji NomuraDepartment of Obstetrics and Gynecology, Fukushima Medical University.
Takafumi WatanabeDepartment of Obstetrics and Gynecology, Fukushima Medical University.
Reiko HonmaNippon Gene Co., Ltd.
Susumu MatsukuraMedicrome Inc.
Emi ItoTranslational Research Center, Fukushima Medical University.
Jun-Ichi ImaiTranslational Research Center, Fukushima Medical University.
Yuichiro KikoDepartment of Diagnostic Pathology, Fukushima Medical University.
Osamu SuzukiDepartment of Diagnostic Pathology, Fukushima Medical University.
Yuko HashimotoDepartment of Diagnostic Pathology, Fukushima Medical University.
Manabu KojimaDepartment of Obstetrics and Gynecology, Fukushima Medical University.
Shigenori FurukawaDepartment of Obstetrics and Gynecology, Fukushima Medical University.
Shu SoedaDepartment of Obstetrics and Gynecology, Fukushima Medical University.
Shinya WatanabeTranslational Research Center, Fukushima Medical University.
Keiya FujimoriDepartment of Obstetrics and Gynecology, Fukushima Medical University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimOvarian serous carcinoma (OSC) and ovarian clear cell carcinoma (OCCC) are two major histological types of epithelial ovarian carcinoma (EOC), each with different biological features and clinical behaviors. Although immunostaining is commonly used for differential diagnosis between OSC and OCCC, correct identification of EOC with mixed-type histology is sometimes a diagnostic challenge. The aim of the present study was to explore candidate genes as potential diagnostic biomarkers that distinguish OSC from OCCC.

methodsA total of 57 surgical specimens were obtained from EOC patients who had previously undergone primary debulking surgery. Total RNAs were extracted from fresh-frozen tissues of EOC patients, and were used for comprehensive gene expression analysis using DNA microarray technology.

resultsTen candidate genes, FXYD2, TMEM101, GABARAPL1, ARG2, GLRX, RBPMS, GDF15, PPP1R3B, TOB1, and GSTM3 were up-regulated in OCCC compared to OSC. All EOC patients were divided into two groups according to hierarchical clustering using a 10-gene signature.

conclusionOur data suggest that the 10 candidate genes would be an excellent marker for distinguishing OSC from OCCC. Furthermore, the molecular signatures of the 10 genes may enlighten us on the differences in carcinogenesis, and provide a theoretical basis for OCCC's resistance to chemotherapy in the future.

Indexed as

Adenocarcinoma, Clear CellCystadenocarcinoma, SerousOvarian NeoplasmsAdultAgedBiomarkers, TumorDiagnosis, DifferentialFemaleGene Expression ProfilingHumansMiddle AgedBiomarkers, Tumorcomprehensive gene expression analysisdiagnosisgene signatureovarian clear cell carcinomaovarian serous carcinoma

Identifiers

PMID38494731
PMCPMC11140200

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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.