Evidence map›Paper›PMID 32922534›Full record

ArticleJournal of Cancer2020

Development and validation of a DNA repair gene signature for prognosis prediction in Colon Cancer.

Xin Wang, Cong Tan, Min Ye, Xu Wang, Weiwei Weng, Meng Zhang, Shujuan Ni, Lei Wang, Dan Huang, Zhaohui Huang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Journal of Cancer, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

9 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 4 institutions in 1 country.

Xin WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Cong TanDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Min YeDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Xu WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Weiwei WengDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Meng ZhangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Shujuan NiDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Lei WangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Dan HuangDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Zhaohui HuangWuxi Cancer Institute, Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.
Midie XuDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Weiqi ShengDepartment of Pathology, Fudan University Shanghai Cancer Center, Shanghai, 200032, China.
Fudan University · CNFudan University Shanghai Cancer Center · CNShanghai Medical College of Fudan University · CNWuxi Fourth People's Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aberrant expression of DNA repair genes (DRGs) can be related to tumor progression and clinical outcomes in colon cancer. Here, we aimed to establish a DRGs signature to identify the vital prognostic DRGs in colon cancer. Firstly, gene set enrichment analysis (GSEA) was performed to demonstrate the association between abnormal expression level of DRGs and tumorigenesis. Then, a total of 476 DRGs were obtained for detecting candidate biomarkers in randomly selected 295 cases from The Cancer Genome Atlas (TCGA) colon cancer cohort. Eleven genes were screened by LASSO Cox regression analyses to develop the prognostic model. Then, the prognostic model and the expression levels of the eleven genes were validated using the internal validation dataset (the rest 125 cases in TCGA cohort) and an external validation dataset (obtained from Gene Expression Omnibus dataset). Further analysis revealed the independent prognostic capacity of the prognostic model in relation to other clinical characteristics. The receiver operating characteristic (ROC) curve analysis confirmed the good performance of the prognostic model. Furthermore, we provided a nomogram for interpreting the clinical application of the 11-DRG signature. In conclusion, we propose a newly developed 11-DRG signature as a practical prognostic predictor for patients with colon cancer, which can facilitate the individualized counselling and treatment.

Indexed as

colon cancerDNA repairGEOprognosisTCGA

Identifiers

PMID32922534
PMCPMC7477412
OpenAlexW3081962889

What OpenQuestion holds

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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 OpenQuestion graph.