Evidence map›Paper›PMID 39834603›Full record

ArticleAnalytical cellular pathology (Amsterdam)2025

Development of a Novel Prognostic Model for Lung Adenocarcinoma Utilizing Pyroptosis-Associated LncRNAs.

Hong-Yan Bai, Tian-Tian Li, Li-Na Sun, Jing-Hong Zhang, Xiu-He Kang, Yi-Qing Qu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Analytical cellular pathology (Amsterdam), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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

  1. Pooled it
  2. Article
  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

6 authors.

Hong-Yan BaiDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong Key Laboratory of Infectious Respiratory Diseases, Shandong University, Jinan, China.
Tian-Tian LiDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong Key Laboratory of Infectious Respiratory Diseases, Shandong University, Jinan, China.
Li-Na SunDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong Key Laboratory of Infectious Respiratory Diseases, Shandong University, Jinan, China.ORCID https://orcid.org/0009-0000-0277-5107
Jing-Hong ZhangDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong Key Laboratory of Infectious Respiratory Diseases, Shandong University, Jinan, China.
Xiu-He KangDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong Key Laboratory of Infectious Respiratory Diseases, Shandong University, Jinan, China.
Yi-Qing QuDepartment of Pulmonary and Critical Care Medicine, Qilu Hospital, Cheeloo College of Medicine, Shandong Key Laboratory of Infectious Respiratory Diseases, Shandong University, Jinan, China.ORCID https://orcid.org/0000-0002-9538-7601

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lung cancer is a highly prevalent and fatal cancer that seriously threatens the safety of people in various regions around the world. Difficulty in early diagnosis and strong drug resistance have always been difficulties in the treatment of lung cancer, so the prognosis of lung cancer has always been the focus of scientific researchers. This study used genotype-tissue expression (GTEx) and the cancer genome atlas (TCGA) databases to obtain 477 lung adenocarcinoma (LUAD) and 347 healthy individuals' samples as research subjects and divided LUAD patients into low-risk and high-risk groups based on prognostic risk scores. Differentially expressed gene (DEG) analysis was performed on 25 pyroptosis-related genes obtained from GeneCards and MSigDB databases in cancer tissues of LUAD patients and noncancerous tissues of healthy individuals, and seven genes were significantly different in cancer tissues and noncancerous tissues among them. Coexpression analysis and differential expression analysis of these genes and long noncoding RNAs (lncRNAs) found that three lncRNAs (AC012615.1, AC099850.3, and AO0001453.2) had significant differences in expression between cancer tissues and noncancerous tissues. We used Cox regression and the least absolute shrinkage sum selection operator (LASSO) regression to construct a prognostic model for LUAD patients with these three pyroptosis-related lncRNAs (pRLs) and analyzed the prognostic value of the pRLs model by the Likaplan-Meier curve and Cox regression. The results show that the risk prediction model has good prediction ability. In addition, we also studied the differences in tumor mutation burden (TMB), tumor immune dysfunction and rejection (TIDE), and immune microenvironment with pRLs risk scores in low-risk and high-risk groups. This study successfully established a LUAD prognostic model based on pRLs, which provides new insights into lncRNA-based LUAD diagnosis and treatment strategies.

Indexed as

Adenocarcinoma of LungLung NeoplasmsPyroptosisRNA, Long NoncodingBiomarkers, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisBiomarkers, TumorRNA, Long Noncodingbioinformaticsimmunelung adenocarcinomaprognosispyroptosis

Identifiers

PMID39834603
PMCPMC11745560

What Socratic 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 Socratic graph.