Evidence map›Paper›PMID 34565373›Full record

ArticleCancer cell international2021

Identification of the prognostic value of a 2-gene signature of the WNT gene family in UCEC using bioinformatics and real-world data.

Yuexin Hu, Mingjun Zheng, Dandan Zhang, Rui Gou, Ouxuan Liu, Shuang Wang, Bei Lin

Open access · goldAbstract read
In one paragraph

Article in Cancer cell international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 29% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

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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

7 authors at 3 institutions in 3 countries.

Yuexin HuDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University, Shenyang, China.
Mingjun ZhengDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University, Shenyang, China.
Dandan ZhangDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University, Shenyang, China.
Rui GouDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University, Shenyang, China.
Ouxuan LiuDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University, Shenyang, China.
Shuang WangDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University, Shenyang, China.
Bei LinDepartment of Gynecology and Obstetrics, Shengjing Hospital of China Medical University, Shenyang, China. linbei88@hotmail.com.ORCID http://orcid.org/0000-0002-8881-9859
China Medical University · CNLMU Klinikum · DESociety for Maternal-Fetal Medicine · US

Funding

Wellcome Trust 201804
6 · The paper itself

Abstract

backgroundThe WNT gene family plays an important role in the occurrence and development of malignant tumors, but its involvement has not been systematically analyzed in uterine corpus endometrial carcinoma (UCEC). This study aimed to evaluate the prognostic value of the WNT gene family in UCEC.

methodsPan-cancer transcriptome data of the UCSC Xena database and Genotype-Tissue Expression (GTEx) normal tissue data were downloaded to analyze the expression and prognosis of 19 WNT family genes in UCEC. A cohort from The Cancer Genome Atlas-Uterine Corpus Endometrial Carcinoma (TCGA-UCEC) was used to analyze the expression of the WNT gene family in different immune subtypes and clinical subgroups. The STRING database was used to analyze the interaction of the WNT gene family and its biological function. Univariate Cox regression analysis and Lasso cox analysis were used to identify the genes associated with significant prognosis and to construct multi signature prognosis model. An immunohistochemical assay was used to verify the predictive ability of the model. Risk score and the related clinical features were used to construct a nomogram.

resultsThe expression levels of WNT2, WNT3, WNT3A, WNT5A, WNT7A, and WNT10A were significantly different among different immune subtypes and correlated with TP53 mutation. According to the WNT family genes related to the prognosis of UCEC, UCEC was classified into two subtypes (C1, C2). The prognosis of subtype C1 was significantly better than that of subtype C2. A 2-gene signature (WNT2 and WNT10A) was constructed and the two significantly prognostic groups can be divided based on median Risk score. These results were verified using real-world data, and the nomogram constructed using clinical features and Risk score had good prognostic ability.

conclusionsThe 2-gene signature including WNT2 and WNT10A can be used to predict the prognosis of patients with UCEC, which is important for clinical decision-making and individualized therapy for patients with UCEC.

Indexed as

NomogramPrognosisUCECWNT10AWNT2

Identifiers

PMID34565373
PMCPMC8474865
OpenAlexW3203746709

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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.