Evidence map›Paper›PMID 36003784›Full record

ArticleFrontiers in oncology2022

Molecular classification grade 3 endometrial endometrioid carcinoma using a next-generation sequencing-based gene panel.

Ling Li, Fangfang Chen, Jingcheng Liu, Weifeng Zhu, Liang Lin, Li Chen, Yi Shi, An Lin, Gang Chen

Abstract read
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Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Ling LiDepartment of Gynecological Oncology Surgery, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China.
Fangfang ChenDepartment of Molecular pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China.
Jingcheng LiuDepartment of Pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China.
Weifeng ZhuDepartment of Pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China.
Liang LinDepartment of Gynecological Oncology Surgery, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China.
Li ChenDepartment of Gynecological Oncology Surgery, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China.
Yi ShiDepartment of Molecular pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China.
An LinDepartment of Gynecological Oncology Surgery, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China.
Gang ChenDepartment of Pathology, Fujian Medical University Cancer Hospital, Fujian Cancer Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Over the past two decades, the incidence of endometrial cancer (EC) is increasing, and there is a need for molecular biomarkers to predict prognosis and guide treatment. A recent study from The Cancer Genome Atlas suggested to implement the EC analysis by molecular profile for improving diagnosis, prognosis, and therapeutic treatment. In this study, next-generation sequencing was performed on 70 cases of G3 endometrioid ECs (EECs) using an 11-gene panel (TP53, MLH1, MSH2, MSH6, PMS2, EPCAM, PIK3CA, CTNNB1, KRAS, PTEN, and POL) for molecular classification. The molecular classification based on the 11-gene NGS panel identified four molecular subgroups: POLE-ultramutated (n = 20, 28.6%), MSI-H (n = 27, 38.6%), NSMP (n = 13, 18.6%) and TP53mut (n = 10, 14.3%). The NGS method showed 98.6% (69 of 70 cases, kappa value 98%) in concordance with the cases assessed by immunohistochemistry (IHC). Among the seven dead cases, four were MSI-H tumors, two were TP53mut/p53abn tumors, and one was NSMP tumors with an average overall survival (OS) of 14.7 months. TP53mut subgroup showed that poor OS rates and POLE group have favorable prognosis. Our work suggested that the 11-gene panel is suitable for molecular classification in G3 EECs and for guiding prognosis and treatment decisions.

Indexed as

endometrial carcinomamicrosatellite instabilitymolecular subtypep53 abnormalPOLE ultramutated

Identifiers

PMID36003784
PMCPMC9394115

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