Evidence map›Paper›PMID 41415052›Full record

ArticleAmerican journal of translational research2025

Adjuvant therapy guided by molecular classification in endometrial cancer: survival benefit and safety profile.

Lu Liu, Jian Ouyang, Junge Sun, Li Feng, Yan Xiao, Murong Wang, Yanping Liao

Abstract read
In one paragraph

Article in American journal of translational research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Lu LiuPingxiang Health Vocational College Pingxiang 337000, Jiangxi, China.
Jian OuyangPingxiang Health Vocational College Pingxiang 337000, Jiangxi, China.
Junge SunPingxiang Health Vocational College Pingxiang 337000, Jiangxi, China.
Li FengPingxiang Health Vocational College Pingxiang 337000, Jiangxi, China.
Yan XiaoDepartment of Obstetrics and Gynecology, Luxi County People's Hospital Luxi 337200, Jiangxi, China.
Murong WangPingxiang Health Vocational College Pingxiang 337000, Jiangxi, China.
Yanping LiaoPingxiang Health Vocational College Pingxiang 337000, Jiangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the effect of molecular classification-based postoperative adjuvant therapy on survival outcomes and treatment safety in patients with endometrial cancer.

methodsThis retrospective study included 208 endometrial cancer patients treated between January 2022 and January 2025. Patients were divided into a control group (n = 102), receiving conventional adjuvant therapy, and an observation group (n = 106), receiving molecular classification-based personalized regimens. The primary endpoints were disease-free survival (DFS) and overall survival (OS). Secondary measures included objective response, treatment-related toxicity, treatment delivery factors, patient-reported outcomes, and next-generation sequencing of circulating tumor DNA (ctDNA). Multivariate Cox regression was used to explore molecular subtypes and clinicopathologic predictors of 5-year DFS.

resultsIn the observation group, immune therapy was exclusively administered, and treatment regimens significantly differed from the control group, which received chemoradiotherapy. The observation group showed significantly better DFS (HR = 0.52, 95% CI 0.30-0.89, P = 0.01) and OS (HR = 0.45, 95% CI 0.21-0.95, P = 0.03). Molecular subtype analysis indicated better prognosis for POLE-ultramutated tumors and poorer prognosis for p53-abnormal tumors. The observation group had fewer adverse events (grade ≥ 2: 38.7% vs. 63.7%, P = 0.001) and higher objective response rates (65.1% vs. 43.1%, P = 0.001).

conclusionsMolecular classification-based adjuvant therapy improved survival, response rates, and ctDNA clearance with fewer toxicities. These findings support incorporating molecular classification into postoperative treatment to enhance outcomes in endometrial cancer.

Indexed as

adjuvant therapyEndometrial cancermolecular classificationpostoperative treatmentprecision medicine

Identifiers

PMID41415052
PMCPMC12709356

What OpenQuestion holds

Textmetadata
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.