Evidence map›Paper›PMID 33717544›Full record

ArticleJournal of thoracic disease2021

Identification and validation of an autophagy-related long non-coding RNA signature as a prognostic biomarker for patients with lung adenocarcinoma.

Aimin Jiang, Na Liu, Shuheng Bai, Jingjing Wang, Huan Gao, Xiaoqiang Zheng, Xiao Fu, Mengdi Ren, Xiaoni Zhang, Tao Tian and 3 more

Open access · diamondAbstract read
In one paragraph

Article in Journal of thoracic disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.6field-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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 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

13 authors at 1 institution in 1 country.

Aimin JiangDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Na LiuDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Shuheng BaiDepartment of Radiotherapy Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jingjing WangDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Huan GaoDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaoqiang ZhengDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiao FuDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Mengdi RenDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xiaoni ZhangDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Tao TianDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Zhiping RuanDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Xuan LiangDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Yu YaoDepartment of Medical Oncology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLung adenocarcinoma (LUAD) is the most predominant pathological subtype of lung cancer, accounting for 40-70% of all lung cancer cases. Although significant improvements have been made in the screening, diagnosis, and precise management in recent years, the prognosis of LUAD remains bleak. This study aimed to investigate the prognostic significance of autophagy-related long non-coding RNAs (lncRNAs) and construct an autophagy-related lncRNA prognostic model in LUAD.

methodsThe gene expression data of LUAD patients were obtained from The Cancer Genome Atlas (TCGA) database. All autophagy-related genes were downloaded from the Human Autophagy Database (HADb). Spearman's correlation test was exploited to identify potential autophagy-related lncRNAs. The multivariate Cox regression analysis was used to construct the prognostic signature, which divided LUAD patients into high-risk and low-risk groups. Subsequently, the receiver operating characteristic (ROC) curves were generated to assess the predictive ability of this prognostic model for overall survival (OS) in these individuals. Then, the Gene set enrichment analysis (GSEA) was conducted to execute pathway enrichment analysis. Finally, a multidimensional validation was exploited to verify our findings.

resultsA total of 1,144 autophagy-related lncRNAs were identified to construct the co-expression network via Spearman's correlation test (|R

conclusionsIn summary, our results suggested that the prognostic signature of the 16 autophagy-related lncRNAs has significant prognostic value for LUAD patients. Furthermore, TMPO-AS1 and BIRC5 are potential predictors and therapeutic targets in these individuals.

Indexed as

autophagylong non-coding RNA (lncRNA)Lung adenocarcinoma (LUAD)prognostic modelThe Cancer Genome Atlas (TCGA)

Identifiers

PMID33717544
PMCPMC7947511
OpenAlexW3128265193

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.