The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G epigenetic regulation DOI Creative Commons
Yu Tian,

Shengjie Fu,

Nan Zhang

и другие.

Frontiers in Genetics, Год журнала: 2023, Номер 14

Опубликована: Фев. 23, 2023

Introduction: Abdominal aortic aneurysms (AAA) are among the most lethal non-cancerous diseases. A comprehensive analysis of AAA-related disease model has yet to be conducted. Methods: Weighted correlation network (WGCNA) was performed for genes. Machine learning random forest and LASSO regression were develop score. Immune characteristics epigenetic score explored. Results: Our study developed a reliable predicting immunity m1A/m5C/m6A/m7G regulation. Discussion: The pathogenic roles four genes, UBE2K, TMEM230, VAMP7, PUM2, in AAA, need further validation by vitro vivo experiments.

Язык: Английский

AC099850.3 promotes HBV-HCC cell proliferation and invasion through regulating CD276: a novel strategy for sorafenib and immune checkpoint combination therapy DOI Creative Commons
Aoxiao He, Zhihao Huang, Qian Feng

и другие.

Journal of Translational Medicine, Год журнала: 2024, Номер 22(1)

Опубликована: Авг. 31, 2024

This study investigates the molecular mechanisms of CC@AC&SF@PP NPs loaded with AC099850.3 siRNA and sorafenib (SF) for improving hepatitis B virus-related hepatocellular carcinoma (HBV-HCC). A dataset 44 HBV-HCC patients their survival information was selected from TCGA database. Immune genes related to status were identified using ImmPort database WGCNA analysis. prognostic risk model constructed analyzed Lasso regression. Differential analysis performed screen key genes, significance predictive accuracy validated Kaplan–Meier curves, ROC analysis, CIBERSORT correlation The between gene expression matrix calculated, followed by GO KEGG enrichment its co-expressed genes. HepG2.2.15 cells in vitro validation, lentivirus interference, cell cycle determination, CCK-8 experiments, colony formation assays, Transwell scratch flow cytometry investigate effects on cells. subcutaneous transplanted tumor mice verify inhibitory effect tumors. Subsequently, pH-triggered drug release (CC@AC&SF@PP) prepared, therapeutic situ studied. (AC012313.9, MIR210HG, AC099850.3, AL645933.2, C6orf223, GDF10) through bioinformatics showing good sensitivity specificity diagnostic prediction. as a gene, revealed impact pathways. In experiments demonstrated that promotes proliferation invasion regulating immune checkpoint CD276 progression. vivo, subcutaneously showed growth tumors nude mice. Furthermore, SF successfully prepared delivered HBV-HCC, enhancing effectiveness combined therapy HBV-HCC. accelerates progression occurrence development upregulating expression. improve

Язык: Английский

Процитировано

2

Post-Transcriptional Modifications of RNA as Regulators of Apoptosis in Glioblastoma DOI Open Access
Anton S. Dome, М. А. Дымова, Vladimir A. Richter

и другие.

International Journal of Molecular Sciences, Год журнала: 2022, Номер 23(16), С. 9272 - 9272

Опубликована: Авг. 17, 2022

This review is devoted to changes in the post-transcriptional maturation of RNA human glioblastoma cells, which leads disruption normal course apoptosis them. The thoroughly highlights latest information on both modifications certain regulatory RNAs, associated with process apoptosis, presents data features and shows relationship between RNAs tumor cells. In conclusion, potential target candidates are presented that necessary for development new drugs treatment glioblastoma.

Язык: Английский

Процитировано

10

Comprehensive analysis of cuproptosis-related lncRNAs model in tumor immune microenvironment and prognostic value of cervical cancer DOI Creative Commons
Qiang Wang, Yue Xu

Frontiers in Pharmacology, Год журнала: 2022, Номер 13

Опубликована: Ноя. 30, 2022

Cervical cancer (CC) is the fourth leading gynecological malignancy in females worldwide. Cuproptosis, a form of cell death induced by copper, elicits novel therapeutic strategy anticancer therapy. Nonetheless, effects cuproptosis-related lncRNAs CC remain unclear. Therefore, we aim to investigate lncRNAs, develop risk model for prognostic prediction, and elucidate immunological profile CC. Transcription profiles clinical follow-up data were retrieved from The Cancer Genome Atlas (TCGA) database. Afterward, was built distinguishing using least absolute shrinkage selection operator (LASSO) Cox regression. correctness validated, nomogram established followed tumor immune microenvironment analysis. Tumor dysfunction exclusion (TIDE) scores used assess immunotherapy response, pharmaceutical half-maximal inhibitory concentration (IC50) prediction performed potential chemotherapy medicines. Finally, through coexpression analysis, 199 collected. A unique generated 6 selected lncRNAs. score reliable independent survival with higher diagnostic effectiveness compared generic characteristics. Immunological infiltration investigation indicated that substantially linked patients’ immunology, low-risk patients had lower TIDE increased checkpoint expression, suggesting stronger response. Besides, high-risk group exhibited distinct sensitivity medications. immune-related progression connected differentially expressed genes (DEGs) between groups. Generally, comprised may help predict overall survival, indicate immunocyte infiltration, identify individualized treatment.

Язык: Английский

Процитировано

10

Understanding the Epitranscriptome for Avant-Garde Brain Tumour Diagnostics DOI Open Access
Ágota Tűzesi, Susannah Hallal, Laveniya Satgunaseelan

и другие.

Cancers, Год журнала: 2023, Номер 15(4), С. 1232 - 1232

Опубликована: Фев. 15, 2023

RNA modifications are diverse, dynamic, and reversible transcript alterations rapidly gaining attention due to their newly defined regulatory roles in cellular pathways pathogenic mechanisms. The exciting emerging field of ‘epitranscriptomics’ is predominantly centred on studying the most abundant mRNA modification, N6-methyladenine (m6A). m6A mark, similar many other modifications, strictly regulated by so-called ‘writer’, ‘reader’, ‘eraser’ protein species. abundance genes coding for expression these regulator proteins levels shows great potential as diagnostic predictive tools across several cancer fields. This review explores our current understanding glioma biology epitranscriptomics develop new classification that can stratify highly complex heterogeneous brain tumours.

Язык: Английский

Процитировано

5

The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G epigenetic regulation DOI Creative Commons
Yu Tian,

Shengjie Fu,

Nan Zhang

и другие.

Frontiers in Genetics, Год журнала: 2023, Номер 14

Опубликована: Фев. 23, 2023

Introduction: Abdominal aortic aneurysms (AAA) are among the most lethal non-cancerous diseases. A comprehensive analysis of AAA-related disease model has yet to be conducted. Methods: Weighted correlation network (WGCNA) was performed for genes. Machine learning random forest and LASSO regression were develop score. Immune characteristics epigenetic score explored. Results: Our study developed a reliable predicting immunity m1A/m5C/m6A/m7G regulation. Discussion: The pathogenic roles four genes, UBE2K, TMEM230, VAMP7, PUM2, in AAA, need further validation by vitro vivo experiments.

Язык: Английский

Процитировано

5