Evidence map›Paper›PMID 39026198›Full record

ArticleBMC cancer2024

Clinical application of FIGO 2023 staging system of endometrial cancer in a Chinese cohort.

Changmin Yu, Xinhui Yuan, Qianlan Yao, Yuyin Xu, Xiaoyan Zhou, Xin Hu, Huijuan Yang, Huaying Wang, Xiaoli Zhu, Yulan Ren

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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

12 citing papers in PubMed.

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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

10 authors.

Changmin Yu *Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xinhui Yuan *Department of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Qianlan YaoDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Yuyin XuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Xiaoyan ZhouDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China.
Xin HuPrecision Cancer Medicine Center, Fudan University Shanghai Cancer Center, Shanghai, China.
Huijuan YangDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Huaying WangDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xiaoli ZhuDepartment of Oncology, Shanghai Medical College, Fudan University, Shanghai, 200032, China. zhuxl@shca.org.cn.
Yulan RenDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China. yulan_ren@shca.org.cn.

Funding

Shanghai Science and Technology Innovation Action Plan No. 20Z11900703the Climb Grant of National Cancer Center No. NCC201909B02
6 · The paper itself

Abstract

objectiveThe International Federation of Gynecology and Obstetrics (FIGO) 2023 staging system for endometrial cancer (EC) was released with incorporating histology, lympho-vascular space invasion, and molecular classification together. Our objective is to further explore the clinical utility and prognostic significance of the 2023 FIGO staging system in China.

methodsA retrospective analysis was conducted for patients who received standard surgeries and underwent genetic testing using multigene next-generation sequencing (NGS) panels between December 2018 and December 2023 at Fudan University Shanghai Cancer Center, Shanghai, China. The genomic and clinical data of all patients were analyzed, and stages were determined by both the 2009 and 2023 FIGO staging systems. Kaplan-Meier estimators and Cox proportional hazards models were used for survival analysis.

resultsA total of 547 patients were enrolled in the study. After the restaged by the FIGO 2023 staging system, stage shifts occurred in 147/547 (26.9%) patients. In patients with early stages in FIGO 2009 (stage I-II), 63 cases were rearranged to IAmPOLEmut and 53 cases to IICmp53abn due to the molecular classification of POLEmut and p53abn. Altogether 345 cases were in stage I, 107 cases in stage II, 69 cases in stage III, and 26 cases in stage IV according to the FIGO 2023 staging criteria. For stage I diseases, the 3-year PFS rate was 92.7% and 95.3% in 2009 and 2023 FIGO staging systems, respectively. The 3-year PFS of stage II in 2023 FIGO was lower than that of FIGO 2009 (3-year PFS: 85.0% versus 90.9%), especially in substage IIC and IICmp53abn. Three cases (12%) of stage IIIA in FIGO 2009 were shifted to stage IA3 FIGO 2023, with 3-year PFS rates of 90.9% versus 100%, respectively. In NGS analysis, the most prevalent gene alterations were observed in PTEN and PIK3CA.

conclusionThe FIGO 2023 staging system was proved to be a good predictor of survival for EC patients with enhanced precision compared to FIGO 2009. Predominant stage shifts were observed in early-stage diseases. Distinct gene alterations of different subtypes may help to explore more accurate target therapies.

Indexed as

Endometrial NeoplasmsNeoplasm StagingAdultAgedAged, 80 and overChinaEast Asian PeopleFemaleHigh-Throughput Nucleotide SequencingHumansKaplan-Meier EstimateMiddle AgedMutationPrognosisRetrospective StudiesEndometrial cancerMolecular classificationPrognosisStagingSurvival

Identifiers

PMID39026198
PMCPMC11264810

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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.