Evidence map›Paper›PMID 33407221›Full record

ArticleBMC cancer2021

Construction of a nine DNA repair-related gene prognostic classifier to predict prognosis in patients with endometrial carcinoma.

Jinhui Liu, Pinping Jiang, Xucheng Chen, Yujie Shen, Guoliang Cui, Ziyan Ma, Shaojie Zhao, Yan Zhang

Abstract read
In one paragraph

Article in BMC cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Jinhui LiuDepartment of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Pinping JiangDepartment of Gynecology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xucheng ChenCollege of Pharmacy, Nanjing Medical University, Nanjing, China.
Yujie ShenDepartment of Otorhinolaryngology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Guoliang CuiDepartment of Traditional Chinese Medicine, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Ziyan MaUniversity of New South Wales, Sydney, Australia.
Shaojie ZhaoDepartment of Gynecology and Obstetrics, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, No. 48, Huaishu Road, Wuxi, 214000, Jiangsu, China. zsjie2005@163.com.
Yan ZhangDepartment of Gynecology and Obstetrics, Wuxi Maternal and Child Health Hospital Affiliated to Nanjing Medical University, No. 48, Huaishu Road, Wuxi, 214000, Jiangsu, China. fuyou2007@126.com.

Funding

Six Talent Peaks Project in Jiangsu Province YY-124Wuxi Municipal Bureau on Science and Technology CSE31N1720
6 · The paper itself

Abstract

backgroundEndometrial cancer (EC) is one of the most common gynecological malignancies worldwide. However, the molecular mechanisms and the prognostic prediction for EC patients remain unclear.

methodsIn the current study, we performed an in-depth analysis of over 500 patients which were obtained from the Cancer Genome Atlas (TCGA) database. The bioinformatics analysis included gene set enrichment analysis (GSEA) and Cox and lasso regression analyses to ensure overall survival (OS)-related genes, moreover, to construct a prognostic model and a nomogram for EC patients.

resultsGSEA identified 4 gene sets significantly associated with EC, which are DNA repair, unfolded protein response, reactive oxygen species pathway and UV response up. Twenty-five OS-related DNA repair genes were screened out, after that, a 9-mRNA signature was constructed to measure the risk scores of patients with different outcomes. In addition, a nomogram contained the 9-mRNA model and clinical parameters was also presented to assess the prognosis. Patients with low risk were more likely to have sensitivity to paclitaxel, vinblastine, rapamycin, metformin, imatinib, Akt inhibitor and lapatinib.

conclusionsThe identified highly enriched gene sets may offer a novel insight into the tumorigenesis and treatment of EC. Additionally, the constructed 9-mRNA model and the nomogram have prominent clinical implications for prognosis evaluation and specific therapy guidance for EC patients.

Indexed as

Biomarkers, TumorCase-Control StudiesDNA Repair EnzymesEndometrial NeoplasmsFemaleFollow-Up StudiesGene Expression ProfilingHumansMiddle AgedPrognosisRNA, MessengerSurvival RateBiomarkers, TumorDNA Repair EnzymesRNA, MessengerBioinformatics analysisDNA repairEndometrial cancerPrognostic model

Identifiers

PMID33407221
PMCPMC7789410

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.