Evidence map›Paper›PMID 35813819›Full record

ArticleFrontiers in molecular biosciences2022

DNA Damage Response Gene-Based Subtypes Associated With Clinical Outcomes in Early-Stage Lung Adenocarcinoma.

Yang Zhao, Bei Qing, Chunwei Xu, Jing Zhao, Yuchen Liao, Peng Cui, Guoqiang Wang, Shangli Cai, Yong Song, Liming Cao and 1 more

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

11 authors.

Yang ZhaoDepartment of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
Bei QingDepartment of Thoracic Surgery, The Second Xiangya Hospital, Central South University, Changsha, China.
Chunwei XuDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Jing ZhaoBurning Rock Biotech, Guangzhou, China.
Yuchen LiaoBurning Rock Biotech, Guangzhou, China.
Peng CuiBurning Rock Biotech, Guangzhou, China.
Guoqiang WangBurning Rock Biotech, Guangzhou, China.
Shangli CaiBurning Rock Biotech, Guangzhou, China.
Yong SongDepartment of Respiratory Medicine, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
Liming CaoDepartment of Respiratory Medicine, Xiangya Hospital, Central South University, Changsha, China.
Jianchun DuanCAMS Key Laboratory of Translational Research on Lung Cancer, State Key Laboratory of Molecular Oncology, Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA damage response (DDR) pathways play a crucial role in lung cancer. In this retrospective analysis, we aimed to develop a prognostic model and molecular subtype based on the expression profiles of DDR-related genes in early-stage lung adenocarcinoma (LUAD). A total of 1,785 lung adenocarcinoma samples from one RNA-seq dataset of The Cancer Genome Atlas (TCGA) and six microarray datasets of Gene Expression Omnibus (GEO) were included in the analysis. In the TCGA dataset, a DNA damage response gene (DRG)-based signature consisting of 16 genes was constructed to predict the clinical outcomes of LUAD patients. Patients in the low-DRG score group had better outcomes and lower genomic instability. Then, the same 16 genes were used to develop DRG-based molecular subtypes in the TCGA dataset to stratify early-stage LUAD into two subtypes (DRG1 and DRG2) which had significant differences in clinical outcomes. The Kappa test showed good consistency between molecular subtype and DRG (K = 0.61,

Indexed as

DNA damage responseearly-stagelung adenocarcinomamolecular subtypeprognosticsignature

Identifiers

PMID35813819
PMCPMC9257065

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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.