Identification of the shared gene signatures in retinoblastoma and osteosarcoma by machine learning DOI Creative Commons

Rongjie Ye,

Quan Yuan,

Wenkang You

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Dec. 28, 2024

Osteosarcoma (OS) is the most prevalent secondary sarcoma associated with retinoblastoma (RB). However, molecular mechanisms driving interactions between these two diseases remain incompletely understood. This study aims to explore transcriptomic commonalities and pathways shared by RB OS, identify biomarkers that predict OS prognosis effectively. RNA sequences patient information for were obtained from University of California Santa Cruz (UCSC) Xena Gene Expression Omnibus databases. When first identified, a common gene expression profile was discovered. Weighted Co-expression Network Analysis (WGCNA) revealed co-expression networks after immunotyping patients. To evaluate genes univariate multivariate Cox regression analysis then carried out. Three machine learning methods used pick key genes, risk models created verified. Next, medications target independent prognostic found using Cellminer database. The comparison differential 1216 primarily linked activation proliferation immune cells. WGCNA identified 12 modules related immunotyping, grey module showing strong correlation immune-inflamed phenotype. intersected RB, producing 65 RB-associated Immune-inflamed Genes (ROIGs). 6 hub model construction through three techniques. A based on established, demonstrating significant value OS. contribute progression both cancers multiple pathways. ROIGs score independently predicts overall survival Additionally, this highlights potential as therapeutic targets or clinical use.

Language: Английский

Neutrophil Extracellular Traps and Reactive Oxygen Species: Predictors of Prognosis in Bladder Cancer DOI

Zahra Mansourabadi,

Mohammad‐Ali Assarehzadegan, Fereshteh Mehdipour

et al.

Immunology Letters, Journal Year: 2025, Volume and Issue: unknown, P. 106991 - 106991

Published: Feb. 1, 2025

Language: Английский

Citations

0
NETs: Important players in cancer progression and therapeutic resistance DOI
Xiaoying Guan, Xiaoli Guan, Zhiqiang Zhao

et al.

Experimental Cell Research, Journal Year: 2024, Volume and Issue: 441(2), P. 114191 - 114191

Published: July 31, 2024

Language: Английский

Citations

4
Nanoparticles, a promising treatment for gastric cancer DOI Creative Commons
Hua Dong, Xiexing Wu,

Zebin Wu

et al.

Smart Materials in Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 1, 2025

Language: Английский

Citations

0
Regulation of Cell Death: Therapeutic Strategies for Cancer Treatment DOI Creative Commons
Attalla F. El‐kott, Fahmy G. Elsaid, Heba I. Ghamry

et al.

IntechOpen eBooks, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 6, 2025

This chapter explores how to regulate programmed cell death and its relevance in cancer therapy. It points the need of investigate mechanisms death, like apoptosis, necroptosis, and, more recently, exposed ferroptosis, while creating approaches for treatment malignant diseases. In spite progress field targeted therapies, is still a main cause due incapability cells undergo apoptosis. The highlights significance adopting complex that encompass multiple types occurring within both tumor microenvironment. Of note are functions oncogenes suppressor genes regulation cellular processes, specific role apoptosis formation process, possibility increase neoplastic cells. There metastasis critical such as TP53 gene, along with presence an over expression anti-apoptotic proteins. Examples this would include Bcl-2 IAPs, which protect against stimuli required death. immunotherapy combination therapies described emerging strategies enhance efficacy treatments. document also deals problem resistance induction necessity further clinical studies new therapeutic agents practice. summary, it diversity biology paradigm shift achieve

Language: Английский

Citations

0
Allicin Inhibits Colorectal Cancer By Remodeling Cd8+T Cell Function and Exerting Direct Tumoricidal Effects DOI
Dandan Guo,

Aifang Li,

Baiyan Wang

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Metabolism-Related Programmed Cell Death: Unveiling Prognostic Biomarkers, Immune Checkpoints, and Therapeutic Strategies in Ovarian Cancer DOI

Mengdi Fu,

Hao Wu, Peng Peng

et al.

Cancer Investigation, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 22

Published: April 7, 2025

Ovarian cancer (OC), the gynecologic malignancy with poorest prognosis, is driven by metabolic reprogramming and dysregulated programmed cell death (PCD). However, their interplay prognostic significance remain inadequately understood. Transcriptomic data from OC patients healthy controls (TCGA GTEx) were analyzed to identify differentially expressed genes (DEGs) intersecting metabolism-related (MRGs) PCD-related (PCDRGs). Prognostic determined using univariate Cox regression, LASSO, multivariate stepwise analyses. Consensus clustering revealed enrichment differences, while a risk model nomogram developed for outcome prediction. Associations between genes, immune microenvironment, drug sensitivity also assessed. A total of 166 candidate identified, PLA2G2D, LPCAT3, ARG1, PLA2G4A, EXOSC3 emerging as significant markers. The demonstrated marked survival showed robust calibration Differential infiltration was observed groups. Additionally, Sinularin Fulvestrant exhibited variable sensitivity, validated through molecular docking models. Metabolism-related PCD identified pivotal markers in OC, providing critical insights evaluation targeted therapy development.

Language: Английский

Citations

0
Prognostic impact and immunotherapeutic implications of NETosis‐related gene signature in gastric cancer patients DOI Creative Commons
Xiang Tian,

Zhenhua Wei,

Chen Ye

et al.

Journal of Cellular and Molecular Medicine, Journal Year: 2023, Volume and Issue: 28(5)

Published: Dec. 26, 2023

Abstract The role of NETosis and its related molecules remains unclear in gastric cancer. data used this study was directly downloaded from the Cancer Genome Atlas (TCGA) database. All analysis plots are completed R software using diverse packages. In our study, we collected list NETosis‐related genes previous publications. Based on expression profile cancer patients TCGA database, identified significantly correlated with survival. Then, CLEC6A, BST1 TLR7 were through LASSO regression multivariate Cox for prognosis model construction. This showed great predictive efficiency both training validation cohorts. We noticed that high‐risk might have a worse survival performance. Next, explored biological enrichment difference between high‐ low‐risk found many carcinogenic pathways upregulated patients. Meanwhile, investigated genomic instability, mutation burden immune microenvironment Moreover, more sensitive to immunotherapy (85.95% vs. 56.22%). High‐risk some small compounds like camptothecin_1003, cisplatin_1005, cytarabine_1006, nutlin‐3a (−)_1047, gemcitabine_1190, WZ4003_1614, selumetinib_1736 mitoxantrone_1810. summary, comprehensively cancer, which can provide direction relevant studies.

Language: Английский

Citations

7
Nasal mRNA Nanovaccine with Key Activators of Dendritic and MAIT Cells for Effective Against Lung Tumor Metastasis in Mice Model DOI Creative Commons
Ang Li,

Xushan Cai,

Dong Li

et al.

International Journal of Nanomedicine, Journal Year: 2024, Volume and Issue: Volume 19, P. 11479 - 11497

Published: Nov. 1, 2024

Lung metastasis is a leading cause of cancer-related death. mRNA-based cancer vaccines have been demonstrated to be effective at inhibiting tumor growth. Intranasal immunization has emerged as more method inducing local immune responses against cells in the lungs.

Language: Английский

Citations

2
The impact of NETosis on hematological malignancies as a promising therapeutic target DOI Creative Commons
Duygu Aydemir

Frontiers in Hematology, Journal Year: 2024, Volume and Issue: 3

Published: March 18, 2024

OPINION article Front. Hematol., 18 March 2024Sec. Blood Cancer Volume 3 - 2024 | https://doi.org/10.3389/frhem.2024.1377806

Language: Английский

Citations

1
Global research trends and focus on the link between neutrophil extracellular traps and tumor: a bibliometric and visualization analysis from 2006 to 2024 DOI Creative Commons

Chaoyue Xiao,

Xiang Feng,

Zengyi Zhao

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 24, 2024

Background Neutrophil extracellular traps (NETs) have long been consistently considered an innate immune defense against foreign pathogens, but this oversimplified view has decelerated the progression of perceiving NET biology in chronic diseases. It is now increasingly accepted that NETs are not exclusive to anti-infection responses, also central players with a double-edged sword role cancer progression. gradually emerged as tumor diagnostic, predictive, and prognostic biomarkers, strenuous endeavors devoted tapping their potential new therapeutic targets. Correspondingly, boom studies on tumors recent years achieved series scientific outputs, which opens up perspective for sophisticated landscapes microenvironment. However, there still much room translate NET-targeted immunotherapies into clinical practice. Therefore, it necessary explore knowledge structure latent hotspots links between using bibliometric analysis. Methods publications from 2006 2024 were extracted Web Science Core Collection. Bibliometric analysis visualization conducted Microsoft Excel, VOSviewer, CiteSpace, R-bibliometrix. Results The included 1,339 authored by 7,747 scholars affiliated 1,926 institutions across 70 countries/regions relevant articles published 538 journals. Despite China’s maximum number publications, United States continued dominate field global cooperation center overwhelming citation counts. Frontiers Immunology most whereas Blood was cited journal. Wagner, Denisa D. Kaplan, Mariana J. concurrently both top 10 prolific authors author lists. Tumor microenvironment immunotherapy will likely be focus future research. Conclusions A comprehensive first map current landscape link hope providing guidance fresh perspectives further research field. promising antitumor targets, perhaps eventual destination realm

Language: Английский

Citations

1