Evidence map›Paper›PMID 39075098›Full record

ArticleScientific reports2024

lncRNA signature mediates mitochondrial permeability transition-driven necrosis in regulating the tumor immune microenvironment of cervical cancer.

Chen Yi, Jun Yang, Ting Zhang, Zilu Xie, Qiliang Xiong, Dongjuan Chen, Shaofeng Jiang

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

7 authors.

Chen YiDepartment of Biomedical Engineering, Nanchang Hang Kong University, Nanchang, 330063, Jiangxi, China.
Jun YangDepartment of Biomedical Engineering, Nanchang Hang Kong University, Nanchang, 330063, Jiangxi, China.
Ting ZhangDepartment of Biomedical Engineering, Nanchang Hang Kong University, Nanchang, 330063, Jiangxi, China.
Zilu XieDepartment of Biomedical Engineering, Nanchang Hang Kong University, Nanchang, 330063, Jiangxi, China.
Qiliang XiongDepartment of Biomedical Engineering, Nanchang Hang Kong University, Nanchang, 330063, Jiangxi, China.
Dongjuan ChenDepartment of Laboratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430070, China. chendj@alumni.hust.edu.cn.
Shaofeng JiangDepartment of Biomedical Engineering, Nanchang Hang Kong University, Nanchang, 330063, Jiangxi, China. jsphone@163.com.

Funding

National Natural Science Foundation of China 62261039Natural Science Foundation of Hubei Province 2019CFB391the PhD fellowship of Nanchang Hangkong University EA202008259
6 · The paper itself

Abstract

Mitochondrial permeability transition (MPT)-driven necrosis (MPTDN) was a regulated variant of cell death triggered by specific stimuli. It played a crucial role in the development of organisms and the pathogenesis of diseases, and may provide new strategies for treating various diseases. However, there was limited research on the mechanisms of MPTDN in cervical cancer (CESC) at present. In this study, Weighted Gene Co-expression Network Analysis (WGCNA) was performed on differentially expressed genes in CESC. The module MEyellow, which showed the highest correlation with the phenotype, was selected for in-depth analysis. It was found that the genes in the MEyellow module may be associated with the tumor immune microenvironment (TIME). Through COX univariate regression and LASSO regression analysis, 6 key genes were identified. These genes were further investigated from multiple perspectives, including their independent diagnostic value, prognostic value, specific regulatory mechanisms in the tumor immune microenvironment, drug sensitivity analysis, and somatic mutation analysis. This study provided a comprehensive exploration of the mechanisms of action of these 6 key genes in CESC patients. And qRT-PCR validation was also conducted. Through COX univariate regression and LASSO coefficient screening of the MEyellow module, 6 key genes were identified: CHRM3-AS2, AC096734.1, BISPR, LINC02446, LINC00944, and DGUOK-AS1. Evaluation of the independent diagnostic value of these 6 key genes revealed that they can serve as independent diagnostic biomarkers. Through correlation analysis among these 6 genes, a potential regulatory mechanism among them was identified. Therefore, a risk prognostic model was established based on the collective action of these 6 genes, and the model showed good performance in predicting the survival period of CESC patients. By studying the relationship between these 6 key genes and the tumor microenvironment of CESC patients from multiple angles, it was found that these 6 genes are key regulatory factors in the tumor immune microenvironment of CESC patients. Additionally, 16 drugs that are associated with these 6 key genes were identified, and 8 small molecule drugs were predicted based on the lncRNA-mRNA network. The 6 key genes can serve as independent biomarkers for diagnosis, and the Risk score of these genes when acting together can be used as an indicator for predicting the clinical survival period of CESC patients. Additionally, these 6 key genes were closely related to the tumor immune microenvironment of CESC patients and were the important regulatory factors in the tumor immune microenvironment of CESC patients.

Indexed as

Gene Expression Regulation, NeoplasticMitochondriaNecrosisRNA, Long NoncodingUterine Cervical NeoplasmsAdenocarcinomaBiomarkers, TumorCarcinoma, Squamous CellFemaleGene Expression ProfilingHumansPermeabilityPhenotypeProportional Hazards ModelsRegression AnalysisRisk AssessmentBiomarkers, TumorRNA, Long NoncodingCervical cancerDrug predictionlncRNA-mRNA correlation networkMPTDNTumor immune microenvironment

Identifiers

PMID39075098
PMCPMC11286791

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.