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Prognostic classification of endometrial cancer using a molecular approach based on a twelve-gene NGS panel
- Source :
- Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019), Scientific Reports
- Publication Year :
- 2019
- Publisher :
- Nature Publishing Group, 2019.
-
Abstract
- Endometrial Cancer (EC) is one of the most common malignancies in women in developed countries. Molecular characterization of different biotypes may improve clinical management of EC. The Cancer Genome Atlas (TCGA) project has revealed four prognostic EC subgroups: POLE, MSI; Copy Number Low (CNL) and Copy Number High (CNH). The goal of this study was to develop a method to classify tumors in any of the four EC prognostic groups using affordable molecular techniques. Ninety-six Formalin-Fixed Paraffin-embedded (FFPE) samples were sequenced following a NGS TruSeq Custom Amplicon low input (Illumina) protocol interrogating a multi-gene panel. MSI analysis was performed by fragment analysis using eight specific microsatellite markers. A Random Forest classification algorithm (RFA), considering NGS results, was developed to stratify EC patients into different prognostic groups. Our approach correctly classifies the EC patients into the four TCGA prognostic biotypes. The RFA assigned the samples to the CNH and CNL groups with an accuracy of 0.9753 (p
- Subjects :
- 0301 basic medicine
Oncology
medicine.medical_specialty
lcsh:Medicine
Article
03 medical and health sciences
Prognostic markers
0302 clinical medicine
Endometrial cancer
Mutation Rate
Prognostic classification
Artificial Intelligence
Internal medicine
Cancer genome
Overall survival
medicine
Humans
lcsh:Science
Gene
Multidisciplinary
Molecular medicine
business.industry
lcsh:R
Amplicon
medicine.disease
Prognosis
Endometrial Neoplasms
030104 developmental biology
030220 oncology & carcinogenesis
Mutation
Microsatellite
Female
Microsatellite Instability
lcsh:Q
business
Subjects
Details
- Language :
- English
- ISSN :
- 20452322
- Volume :
- 9
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....75d8ebe6c8fb1a96fd3b2925144c3c29