Evidence map›Paper›PMID 37154865›Full record

ArticleMolecular biotechnology2024

Development of a Novel Pyroptosis-Associated lncRNA Biomarker Signature in Lung Adenocarcinoma.

Peng Wang, Zhiqiang Wang, Yanke Lin, Leandro Castellano, Justin Stebbing, Liping Zhu, Ling Peng

Abstract read
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In one paragraph

Article in Molecular biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. 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

7 authors.

Peng Wang *Department of Medical Oncology, Yidu Central Hospital of Weifang, Weifang, Shandong Province, China.
Zhiqiang Wang *Department of Urology, Shouguang Hospital of Traditional Chinese Medicine, Shouguang, Shandong Province, China.
Yanke Lin *Guangdong TCRCure Biopharma Technology Co., Ltd, Guangzhou, China.
Leandro CastellanoDepartment of Biochemistry, School of Life Sciences, University of Sussex, Brighton, UK.
Justin StebbingDepartment of Biomedical Sciences, Anglia Ruskin University, Cambridge, UK.
Liping ZhuDepartment of Medical Oncology, Shouguang Hospital of Traditional Chinese Medicine, Shouguang, Shandong Province, China. 517113086@qq.com.
Ling PengDepartment of Respiratory Disease, Zhejiang Provincial People's Hospital, Affiliated People's Hospital, Hangzhou Medical College, Hangzhou, Zhejiang Province, China. drpengling@hotmail.com.ORCID http://orcid.org/0000-0002-1359-4982

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pyroptosis is a novel type of cell death observed in various diseases. Our study aimed to investigate the relationship between pyroptosis-associated-long non-coding RNAs (lncRNAs), immune infiltration, and expression of immune checkpoints in the setting of lung adenocarcinoma and the prognostic value of pyroptosis-related lncRNAs. RNA-seq transcriptome data and clinical information from The Cancer Genome Atlas (TCGA) were downloaded, and consensus clustering analysis was used to separate the samples into two groups. Least absolute shrinkage and selection operator (LASSO) analyses were conducted to construct a risk signature. The association between pyroptosis-associated lncRNAs, immune infiltration, and expression of immune checkpoints were analysed. The cBioPortal tool was used to discover genomic alterations. Gene set enrichment analysis (GSEA) was utilized to investigate downstream pathways of the two clusters. Drug sensitivity was also examined. A total of 43 DEGs and 3643 differentially expressed lncRNAs were identified between 497 lung adenocarcinoma tissues and 54 normal samples. A signature consisting of 11 pyroptosis-related lncRNAs was established as prognostic for overall survival. Patients in the low-risk group have a significant overall survival advantage over those in the high-risk group in the training group. Immune checkpoints were expressed differently between the two risk groups. Risk scores were validated to develop an independent prognostic model based on multivariate Cox regression analysis. The area under time-dependent receiver operating characteristic curve (AUC of the ROC) at 1-, 3-, and 5-years measured0.778, 0.757, and 0.735, respectively. The high-risk group was more sensitive to chemotherapeutic drugs than the low-risk group. This study demonstrates the association between pyroptosis-associated lncRNAs and prognosis in lung adenocarcinoma and enables a robust predictive signature of 11 lncRNAs to inform overall survival.

Indexed as

AdenocarcinomaRNA, Long NoncodingBiomarkersCell DeathHumansPyroptosisBiomarkersRNA, Long NoncodinglncRNALung adenocarcinomaPrognosisPyroptosisTumor immune microenvironment

Identifiers

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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 Socratic graph.