Evidence map›Paper›PMID 30237740›Full record

ArticleCancer management and research2018

Identification of an eight-gene prognostic signature for lung adenocarcinoma.

Shicheng Li, Yunpeng Xuan, Bing Gao, Xiao Sun, Shuncheng Miao, Tong Lu, Yuanyong Wang, Wenjie Jiao

Open access · goldAbstract read
In one paragraph

Article in Cancer management and research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

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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

58 citing papers in PubMed, 91 citations in OpenAlex.

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  11. [Research Advances of RAD51AP1 in Tumor Progression and Drug Resistance].Zhongguo fei ai za zhi = Chinese journal of lung cancer · 2023
    Review
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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 at 1 institution in 1 country.

Shicheng LiDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China, jiaowj@qduhospital.cn.
Yunpeng XuanDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China, jiaowj@qduhospital.cn.
Bing GaoSchool of Basic Medicine, Qingdao University, Qingdao, China.
Xiao SunDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China, jiaowj@qduhospital.cn.
Shuncheng MiaoDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China, jiaowj@qduhospital.cn.
Tong LuDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China, jiaowj@qduhospital.cn.
Yuanyong WangDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China, jiaowj@qduhospital.cn.
Wenjie JiaoDepartment of Thoracic Surgery, Affiliated Hospital of Qingdao University, Qingdao, China, jiaowj@qduhospital.cn.
Qingdao University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) is the leading cause of cancer-related death worldwide. The main obstacle to early diagnosis or monitoring of patients at high risk of poor survival has been the lack of essential predictive biomarkers.

methodsRNA-sequencing was performed on LUAD affected tissue and paired adjacent to noncancerous tissue samples and Gene Expression Omnibus dataset GSE19188 and GSE33532 were used to obtain an intersection of differential expressed genes and construct a protein-protein interaction network to get hub genes. Then corresponding overall survival information of two cohorts of LUAD patients from our hospital and The Cancer Genome Atlas project-LUAD were included in the present study. An analysis of the Kyoto Encyclopedia of Genes and Genomes database and Gene Ontology were carried out to study the signature mechanism.

resultsIn our study, we identified eight candidate genes (DLGAP5, KIF11, RAD51AP1, CCNB1, AURKA, CDC6, OIP5 and NCAPG) closely related to survival in LUAD. A linear prognostic model of the eight genes was constructed and weighted by the regression coefficient (β) from the multivariate Cox regression analysis of The Cancer Genome Atlas-LUAD cohort to divide patients into low- and high-risk groups. The prognostic ability of the signature was validated in LUAD patients at our hospital. Patients assigned to the high-risk group exhibited poor overall survival compared to patients in the low-risk group. Finally, functional enrichment analysis showed that cell division played a vital role in the development of LUAD.

conclusionThe study identified an mRNA signature including eight genes, which may serve as a potential prognostic marker of LUAD.

Indexed as

lung adenocarcinomaprognosticRNA-seqsignature

Identifiers

PMID30237740
PMCPMC6138967
OpenAlexW2891478738

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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.