Evidence map›Paper›PMID 39612040›Full record

ArticleDiscover oncology2024

Identification of genetic and immune mechanisms linking preeclampsia and endometrial cancer: a prognostic model for survival and treatment response.

Fei Teng, Guangjuan Fang, Jing Wang, Yongxiu Yang

Abstract read
In one paragraph

Article in Discover oncology, 2024. 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

4 authors.

Fei TengDepartment of Obstetrics and Gynecology, The First Hospital of Lanzhou University, Lanzhou, China.
Guangjuan FangDepartment of Obstetrics and Gynecology, The First Hospital of Lanzhou University, Lanzhou, China.
Jing WangDepartment of Obstetrics and Gynecology, The First Hospital of Lanzhou University, Lanzhou, China.
Yongxiu YangGansu Provincial Clinical Research Center for Gynecological Oncology, Lanzhou, China. yxyanglzu@163.com.

Funding

First Hospital of Lanzhou University Intramural Fund 23JRRA0938Natural Science Foundation of Gansu Province ldyyyn2022-19
6 · The paper itself

Abstract

Preeclampsia (PE) and endometrial cancer (EC) are two distinct conditions that share common genetic and molecular mechanisms involving immune dysregulation, endothelial dysfunction, and angiogenesis. This study aimed to investigate the potential genetic links between PE and EC, identify key prognostic genes, and develop a risk model to predict overall survival in EC patients. We conducted comprehensive genetic and molecular analyses, revealing significant overlaps in immune and angiogenic pathways between PE and EC. Through LASSO regression and multivariate Cox analysis, we identified five core prognostic genes-FSTL3, PRSS23, IGFBP4, MYDGF, and TSC22D3-that were used to construct a risk model. This model effectively stratified EC patients into high- and low-risk groups, with significant differences in overall survival. Patients in the low-risk group exhibited better 1-, 3-, and 5-year survival outcomes and had higher immune cell infiltration and expression of immune checkpoint-related genes, indicating a more favorable tumor microenvironment. Additionally, the analysis showed that these genes are also implicated in the pathogenesis of PE, highlighting potential shared molecular mechanisms. Our findings suggest that these PE-related genes may serve as valuable prognostic biomarkers for EC and could lead to improved prognostic tools and personalized treatment strategies for EC patients.

Indexed as

AngiogenesisEndometrial cancerImmune dysregulationPreeclampsiaPrognostic biomarkers

Identifiers

PMID39612040
PMCPMC11607278

What Socratic 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 Socratic graph.