Evidence map›Paper›PMID 33292199›Full record

ArticleCancer cell international2020

Identification of an immune gene signature for predicting the prognosis of patients with uterine corpus endometrial carcinoma.

Cankun Zhou, Chaomei Li, Fangli Yan, Yuhua Zheng

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.4field-weighted citation impact, top 4% of its field
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

25 citing papers in PubMed, 45 citations in OpenAlex.

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  4. SCENE: Signature Collection for Endometrial Cancer Prognosis.Journal of cellular and molecular medicine · 2025
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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

4 authors at 2 institutions in 1 country.

Cankun ZhouDepartment of Gynecology, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, 528000, Guangdong, China. 13592854369@163.com.ORCID http://orcid.org/0000-0002-7253-6686
Chaomei LiDepartment of Obstetrics and Gynecology, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, 528000, Guangdong, China.
Fangli YanDepartment of Gynecology, Shaoxing People's Hospital, Shaoxing, 312000, Zhejiang, China.
Yuhua ZhengDepartment of Gynecology, Southern Medical University Affiliated Maternal & Child Health Hospital of Foshan, Foshan, 528000, Guangdong, China. YuhuaZhengcn@outlook.com.
Foshan Maternity and Child Health Care Hospital · CNShaoxing People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUterine corpus endometrial carcinoma (UCEC) is a frequent gynecological malignancy with a poor prognosis particularly at an advanced stage. Herein, this study aims to construct prognostic markers of UCEC based on immune-related genes to predict the prognosis of UCEC.

methodsWe analyzed expression data of 575 UCEC patients from The Cancer Genome Atlas database and immune genes from the ImmPort database, which were used for generation and validation of the signature. We constructed a transcription factor regulatory network based on Cistrome databases, and also performed functional enrichment and pathway analyses for the differentially expressed immune genes. Moreover, the prognostic value of 410 immune genes was determined using the Cox regression analysis. We then constructed and verified a prognostic signature. Finally, we performed immune infiltration analysis using TIMER-generating immune cell content.

resultsThe immune cell microenvironment as well as the PI3K-Akt, and MARK signaling pathways were involved in UCEC development. The established prognostic signature revealed a ten-gene prognostic signature, comprising of PDIA3, LTA, PSMC4, TNF, SBDS, HDGF, HTR3E, NR3C1, PGR, and CBLC. This signature showed a strong prognostic ability in both the training and testing sets and thus can be used as an independent tool to predict the prognosis of UCEC. In addition, levels of B cells and neutrophils were significantly correlated with the patient's risk score, while the expression of ten genes was associated with immune cell infiltrates.

conclusionsIn summary, the ten-gene prognostic signature may guide the selection of the immunotherapy for UCEC.

Indexed as

Immune genePrognosisTCGAUterine corpus endometrial carcinoma

Identifiers

PMID33292199
PMCPMC7650210
OpenAlexW3105426572

What OpenQuestion holds

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LicenceCC BY
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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.