Evidence map›Paper›PMID 34257547›Full record

ArticlePathology oncology research : POR2021

Identification of DNA-Repair-Related Five-Gene Signature to Predict Prognosis in Patients with Esophageal Cancer.

Lin Wang, Xueping Li, Lan Zhao, Longyang Jiang, Xinyue Song, Aoshuang Qi, Ting Chen, Mingyi Ju, Baohui Hu, Minjie Wei and 2 more

Open access · goldAbstract read
In one paragraph

Article in Pathology oncology research : POR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

12 citing papers in PubMed, 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

12 authors at 1 institution in 1 country.

Lin WangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Xueping LiDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Lan ZhaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Longyang JiangDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Xinyue SongDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Aoshuang QiDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Ting ChenDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Mingyi JuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Baohui HuDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Minjie WeiDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Miao HeDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
Lin ZhaoDepartment of Pharmacology, School of Pharmacy, China Medical University, Shenyang, China.
China Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Esophageal cancer (ESCA) is a leading cause of cancer-related mortality, with poor prognosis worldwide. DNA damage repair is one of the hallmarks of cancer. Loss of genomic integrity owing to inactivation of DNA repair genes can increase the risk of cancer progression and lead to poor prognosis. We aimed to identify a novel gene signature related to DNA repair to predict the prognosis of ESCA patients. Based on gene expression profiles of ESCA patients from The Cancer Genome Atlas and gene set enrichment analysis, 102 genes related to DNA repair were identified as candidates. After stepwise Cox regression analysis, we established a five-gene prognostic model comprising DGCR8, POM121, TAF9, UPF3B, and BCAP31. Kaplan-Meier survival analysis confirmed a strong correlation between the prognostic model and survival. Moreover, we verified the clinical value of the prognostic signature under the influence of different clinical parameters. We found that small-molecule drugs (trametinib, selumetinib, and refametinib) could help to improve patient survival. In summary, our study provides a novel and promising prognostic signature based on DNA-repair-related genes to predict survival of patients with ESCA. Systematic data mining provides a theoretical basis for further exploring the molecular pathogenesis of ESCA and identifying therapeutic targets.

Indexed as

Gene Expression Regulation, NeoplasticTranscriptomeBiomarkers, TumorComputational BiologyDNA Repair EnzymesEsophageal NeoplasmsEsophageal Squamous Cell CarcinomaFemaleFollow-Up StudiesHumansMaleMiddle AgedPrognosisSurvival RateBiomarkers, TumorDNA Repair EnzymesDNA repairesophageal canceroverall survivalprognostic biomarkerssmall molecular drugstargeted therapy

Identifiers

PMID34257547
PMCPMC8262199
OpenAlexW3140071054

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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.