Evidence map›Paper›PMID 40070309›Full record

SynthesisCancer medicine2025

The Impact of High lncRNA Expression on Clinicopathological Characteristics and Prognosis of Endometrial Cancer Patients: A Meta-Analysis.

Xiaotong Zhao, Ziling Yang, Tianjiao Zheng, Mengyao Zeng, Xiaowen Lin, Huixin Chen, Weiqin Zheng, Sizheng Peng, Shibo Li, Tao Song and 1 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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

11 authors.

Xiaotong ZhaoDepartment of Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Ziling YangDepartment of Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0002-2716-7842
Tianjiao ZhengDepartment of Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Mengyao ZengDepartment of Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Xiaowen LinDepartment of Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Huixin ChenDepartment of Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Weiqin ZhengDepartment of Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Sizheng PengDepartment of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Shibo LiDepartment of Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Tao SongDepartment of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Yuhui SunDepartment of Gynecology, The First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.ORCID https://orcid.org/0000-0002-6525-6280

Funding

The Heilongjiang Provincial Department of Human Resources and Social Security (LBH-Q20110) and the First Affiliated Hospital of Harbin Medical University (2020M20, 2020M08)
6 · The paper itself

Abstract

backgroundsA growing number of systematic bioinformatics analyses were conducted to investigate the mechanism of interaction between long non-coding RNA (lncRNA) and endometrial carcinoma (EC) to predict the prognosis. However, there is no evidence-based evidence that abnormal lncRNA expression is strongly associated with the pathological characteristics and prognosis of EC patients. In this meta-analysis, we systematically evaluated the relationship between upregulated lncRNA expression levels and clinicopathological features, five-year survival rate, and progression-free survival (PFS).

methodsA systematic search was performed across seven reputable databases, namely the China National Knowledge Infrastructure, Wanfang, Wipu, PubMed, Web of Science, Cochrane Library, and Embase, encompassing the period from the inception of each database until November 27, 2022. Heterogeneity among the studies was assessed through the application of Cochran's Q and I

resultsThis study encompassed 30 clinical studies, involving a total of 2469 EC patients, and examined the expression of 24 lncRNAs, which were upregulated in EC samples. EC patients with higher expression of lncRNAs showed a later FIGO stage (OR = 1.94, 95% CI: 1.29 ~ 2.91), a poorer histological grade (OR = 3.40, 95% CI: 2.51 ~ 4.60), earlier deep myometrial invasion (OR = 2.57, 95% CI: 1.94 ~ 3.41), a higher likelihood of lymphatic vascular space infiltration (OR = 2.86, 95% CI: 1.15 ~ 7.14), an increased propensity for lymph node metastasis (OR = 2.89, 95% CI: 1.82 ~ 4.60), and a greater likelihood of distant metastasis (OR = 2.39, 95% CI: 1.33 ~ 4.30). All of these were statistically significant (p < 0.05). Furthermore, EC patients with a higher expression level of lncRNAs were significantly associated with five-year survival (p < 0.05) and PFS (p < 0.05).

conclusionsHigh expression levels of upregulated lncRNAs in EC patients are associated with unfavorable clinicopathological features, a poor five-year survival rate, and PFS. It serves as a detrimental prognostic factor and might be a biomarker and therapeutic target for EC.

Indexed as

Biomarkers, TumorEndometrial NeoplasmsRNA, Long NoncodingFemaleGene Expression Regulation, NeoplasticHumansNeoplasm StagingPrognosisUp-RegulationBiomarkers, TumorRNA, Long Noncodingclinicopathological characteristicsendometrial carcinomalong non‐coding RNAmeta‐analysisprognosis

Identifiers

PMID40070309
PMCPMC11897610

What OpenQuestion holds

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Registered trials

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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.