Evidence map›Paper›PMID 36338763›Full record

ArticleFrontiers in oncology2022

Comprehensive analysis of the cuproptosis-related model to predict prognosis and indicate tumor immune infiltration in lung adenocarcinoma.

Minle Wu, Jie Bao, Youfeng Lei, Shuai Tao, Qiurong Lin, Liang Chen, Yinpeng Jin, Xiaohong Ding, Yufeng Yan, Ping Han

Abstract 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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

4 citing papers in PubMed.

  1. Article
  2. Mechanisms of cuproptosis and its relevance to distinct diseases.Apoptosis : an international journal on programmed cell death · 2024
    Review
  3. Article
  4. Article
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

10 authors.

Minle WuDepartment of Laboratory Medicine, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Jie BaoDepartment of Pharmacy, Anhui Provincial Corps Hospital of Chinese People's Armed Police Forces, Hefei, China.
Youfeng LeiDepartment of Pharmacy, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Shuai TaoDepartment of Research Unit, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Qiurong LinDepartment of Ophthalmology, Shanghai Eye Diseases Prevention and Treatment Center, Shanghai Eye Hospital, Shanghai, China.
Liang ChenDepartment of Liver Disease Center, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yinpeng JinDepartment of Liver Disease Center, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Xiaohong DingDepartment of Pharmacy, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Yufeng YanDepartment of Pharmacy, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
Ping HanDepartment of Pharmacy, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Cuproptosis is a novel form of programmed cell death termed as Cu-dependent cytotoxicity. However, the roles of cuproptosis-associated genes (CAGs) in lung adenocarcinoma (LUAD) have not been explored comprehensively. Methods: We obtained CAGs and utilized consensus molecular clustering by "non-negative matrix factorization (NMF)" to stratify LUAD patients in TCGA (N = 511), GSE13213 (N = 117), and GSE31210 (N = 226) cohorts. The ssGSEA and CIBERSORT algorithms were used to evaluate the relative infiltration levels of immune cell types in tumor microenvironment (TME). The risk score based on CAGs was calculated to predict patients' survival outcomes. Results: We identified three cuproptosis-associated clusters with different clinicopathological characteristics. We found that the cuproptosis-associated cluster with the worst survival rates exhibited a high enrichment of activated CD4/8 Conclusions: In this study, we uncovered the biological function of CAGs in the TME and its correlations with clinicopathological parameters and patients' prognosis in LUAD. These findings could provide new angles for immunotherapy of LUAD patients.

Indexed as

cuproptosisimmune infiltratesimmunotherapylung adenocarcinomatumor microenvironment

Identifiers

PMID36338763
PMCPMC9631493

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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.