Diseases & Research, Journal Year: 2024, Volume and Issue: 4(0), P. 1 - 7
Published: Jan. 1, 2024
Language: Английский
International Journal of Nanomedicine, Journal Year: 2024, Volume and Issue: Volume 19, P. 2241 - 2264
Published: March 1, 2024
Abstract: Recently, gene therapy has become a subject of considerable research and been widely evaluated in various disease models. Though it is considered as stand-alone agent for COVID-19 vaccination, still suffering from the following drawbacks during its translation bench to bedside: high sensitivity exogenous nucleic acids enzymatic degradation; severe side effects induced either by or components formulation; difficulty cross barriers before reaching therapeutic target. Therefore, successful application therapy, safe reliable transport vector urgently needed. Extracellular vesicles (EVs) are ideal candidate delivery drugs owing their low immunogenicity, good biocompatibility toxicity. To better understand properties EVs advantages drug vehicles, this review covers origin methods generation, well common isolation purification research, with pros cons discussed. Meanwhile, engineering also highlighted. In addition, paper presents progress EVs-mediated microRNAs, small interfering RNAs, messenger plasmids, antisense oligonucleotides. We believe will provide theoretical basis development drugs. Keywords: extracellular vesicles, system,
Language: Английский
Citations
12
Cancer Imaging, Journal Year: 2025, Volume and Issue: 25(1)
Published: Jan. 21, 2025
Abstract Background Radiomic analysis of quantitative features extracted from segmented medical images can be used for predictive modeling prognosis in brain tumor patients. Manual segmentation the components is time-consuming and poses significant reproducibility issues. We compare prediction overall survival (OS) recurrent high-grade glioma(HGG) patients undergoing immunotherapy, using deep learning (DL) classification networks along with radiomic signatures derived manual convolutional neural (CNN) automated segmentation. Materials methods retrospectively retrieved 154 cases HGG multiple centers. Tumor was performed by expert radiologists a network (CNN). From tumors, 2553 were each case. A robust feature subset selected intraclass correlation coefficient between segmentations. The data divided into 9:1 ratio validated through ten-fold cross-validation tested on rotating test set. Features selection done Kruskal–Wallis test. Radiomics-based OS predictions, generated Support Vector Machine (SVM), compared two approaches against CNN model adapted classification. Model efficacy evaluated area under receiver operating characteristic curve (AUC). Results clinical AUC 0.640 ± 0.013 (mean 95% confidence interval) training set 0.610 0.131 radiomics based outperformed automatic (AUC 0.662 0.122 vs. 0.471 0.086, respectively) Robust improved performance to 0.700 0.102, 0.554 0.085. demonstrated promising results, an average 0.755 0.071 sets 0.101 Conclusion segmentation-derived predicting glioma immunotherapy. end-to-end similarly manual-segmentation-derived without need potential time-saving must weighed lower interpretability black box modeling.
Language: Английский
Citations
1
Cancer Cell International, Journal Year: 2023, Volume and Issue: 23(1)
Published: Nov. 20, 2023
Abstract Carcinoma of the lung is among most common types cancer globally. Concerning its histology, it categorized as a non-small cell carcinoma (NSCLC) and small (SCLC) subtype. MicroRNAs (miRNAs) are member non-coding RNA whose nucleotides range from 19 to 25. They known be critical regulators via epigenetic control oncogenes expression by regulating tumor suppressor genes. miRNAs have an essential function in tumorous microenvironment modulating growth, metastasis, angiogenesis, metabolism, apoptosis. Moreover, wide information produced several investigations indicates their tumor-suppressing, oncogenic, diagnostic assessment, predictive marker functions different malignancy. miRNA mimics or anti-miRNAs can transferred into cell, with possible curative implications. As result, hold promise targets for treatment detection. In this study, we investigate various malignancy, which been achieved recent years that show cancer-associated regulation expression, concerning beginning, development, resistance chemotherapy, also probability utilize biomarkers therapy reaction. Graphical abstract
Language: Английский
Citations
21
Drug Discovery Today, Journal Year: 2024, Volume and Issue: 29(8), P. 104061 - 104061
Published: June 18, 2024
Language: Английский
Citations
6
International Immunopharmacology, Journal Year: 2024, Volume and Issue: 137, P. 112509 - 112509
Published: June 18, 2024
Language: Английский
Citations
5
Cells, Journal Year: 2024, Volume and Issue: 13(17), P. 1483 - 1483
Published: Sept. 4, 2024
Lung cancer treatment and detection can be improved by the identification of new biomarkers. Novel approaches in investigating circular RNAs (circRNAs) as biomarkers have yielded promising results. A circRNA molecule circHIPK3 was found to widely expressed non-small-cell lung (NSCLC) cells, where it plays a crucial role tumorigenesis. CircHIPK3 promotes progression sponging oncosuppressive miRNAs such miR-124, miR-381-3p, miR-149, miR-107, which results increased cell proliferation, migration, resistance therapies. Inhibiting has been demonstrated suppress tumour growth induce apoptosis, suggests its potential use development strategies targeting circHIPK3-related pathways. As biomarker, shows promise for early monitoring cancer. expression levels link metastasis risk highlights clinical relevance. Given preliminary findings, more trials are needed validate efficacy biomarker. Moreover, future research should determine if mechanisms discovered NSCLC apply small (SCLC) investigate circHIPK3-targeted therapies SCLC.
Language: Английский
Citations
4
Medical Oncology, Journal Year: 2024, Volume and Issue: 41(11)
Published: Oct. 14, 2024
Language: Английский
Citations
4
International Journal of Biological Macromolecules, Journal Year: 2025, Volume and Issue: unknown, P. 140437 - 140437
Published: Jan. 1, 2025
Language: Английский
Citations
0
Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16
Published: Feb. 14, 2025
Lung cancer, characterized by its high morbidity and mortality rates, has the capability to metastasize various organs, thereby amplifying detrimental impact fatality. The metastasis of lung cancer is a complex biological phenomenon involving numerous physiological transformations. Exosomes, small membranous vesicles enriched with biologically active components, are pivotal in mediating intercellular communication regulating functions due their specificity stability. Extensive research elucidated production exosomes contexts. Multitude evidence demonstrates strong association between exosomes. Additionally, concept pre-metastatic niche crucial metastatic process facilitated This review emphasizes role on disease’s development progression other tissues. Furthermore, it explores potential as biomarkers for metastasis, offering significant insights future clinical advancements.
Language: Английский
Citations
0
MedComm, Journal Year: 2025, Volume and Issue: 6(3)
Published: Feb. 17, 2025
Abstract Over the past few decades, immunotherapy has emerged as a powerful strategy to overcome limitations of conventional cancer treatments. The use extracellular vesicles, particularly exosomes, which carry cargoes capable modulating immune response, been extensively explored potential therapeutic approach in immunotherapy. Exosomes can deliver their cargo target cells, thereby influencing phenotype and immunomodulatory functions. They exhibit either immunosuppressive or immune‐activating characteristics, depending on internal contents. These exosomes originate from diverse cell sources, contents vary, suggesting that there may be delicate balance between suppression stimulation when utilizing them for Therefore, thorough understanding molecular mechanisms underlying role progression is essential. This review focuses driving exosome function impact tumor microenvironment (TME), highlighting intricate activation must navigated exosome‐based therapies. Additionally, it underscores challenges ongoing efforts optimize immunotherapies, making significant contribution advancement research.
Language: Английский
Citations
0