Evidence map›Paper›PMID 36733364›Full record

ArticleFrontiers in oncology2022

Cuproptosis-related lncRNA signatures: Predicting prognosis and evaluating the tumor immune microenvironment in lung adenocarcinoma.

Pengpeng Zhang, Shengbin Pei, Jianlan Liu, Xiao Zhang, Yanlong Feng, Zeitian Gong, Tianyu Zeng, Jun Li, Wei Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
6.9field-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

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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 29 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

9 authors at 2 institutions in 1 country.

Pengpeng ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Shengbin PeiDepartment of Breast Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jianlan LiuDepartment of Burns and Plastic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Xiao ZhangDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Yanlong FengDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Zeitian GongDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Tianyu ZengDepartment of Oncology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jun LiDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wei WangDepartment of Thoracic Surgery, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cuproptosis, a unique kind of cell death, has implications for cancer therapy, particularly lung adenocarcinoma (LUAD). Long non-coding RNAs (lncRNAs) have been demonstrated to influence cancer cell activity by binding to a wide variety of targets, including DNA, RNA, and proteins. Methods: Cuproptosis-related lncRNAs (CRlncRNAs) were utilized to build a risk model that classified patients into high-and low-risk groups. Based on the CRlncRNAs in the model, Consensus clustering analysis was used to classify LUAD patients into different subtypes. Next, we explored the differences in overall survival (OS), the tumor immune microenvironment (TIME), and the mutation landscape between different risk groups and molecular subtypes. Finally, the functions of LINC00592 were verified through Results: Patients in various risk categories and molecular subtypes showed statistically significant variations in terms of OS, immune cell infiltration, pathway activity, and mutation patterns. Cell experiments revealed that LINC00592 knockdown significantly reduced LUAD cell proliferation, invasion, and migration ability. Conclusion: The development of a trustworthy prediction model based on CRlncRNAs may significantly aid in the assessment of patient prognosis, molecular features, and therapeutic modalities and may eventually be used in clinical applications.

Indexed as

cuproptosislncRNAlung adenocarcinomaprognosistumor immune microenvironment

Identifiers

PMID36733364
PMCPMC9887198
OpenAlexW4316672165

What OpenQuestion holds

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LicenceCC BY
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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.