Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11329566 | PMC |
| http://dx.doi.org/10.1111/cts.70002 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Comprehensive analyses reveal the promising value of gasdermins as prognostic biomarkers and immunotherapeutic targets in head and neck squamous cell carcinoma.
Heliyon
January 2025
Department of Medical Oncology, Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Guangzhou, 510060, PR China.
Background: In several studies of head and neck squamous cell carcinoma (HNSC), the regulation of tumorigenesis and therapeutic sensitivity by pyroptosis has been observed. However, a systematic analysis of gasdermin family members (GSDMs, including GSDMA/B/C/D/E and PJVK), which are deterministic executors of pyroptosis, has not yet been reported in HNSC.
Methods: We performed comprehensive analyses of the expression profile, prognostic value, regulatory network, and immune infiltration modulation of GSDMs in HNSC on the basis of a computational approach and bioinformatic analysis of publicly available datasets.
Identify characteristics of Vietnamese oral squamous cell carcinoma patients by machine learning on transcriptome and clinical-histopathological analysis.
J Dent Sci
December 2024
Blood Transfusion Haematology Hospital No. 2, Ho Chi Minh City, Viet Nam.
Background/purpose: Oral squamous cell carcinoma (OSCC) is notorious for its low survival rates, due to the advanced stage at which it is commonly diagnosed. To enhance early detection and improve prognostic assessments, our study harnesses the power of machine learning (ML) to dissect and interpret complex patterns within mRNA-sequencing (RNA-seq) data and clinical-histopathological features.
Materials And Methods: 206 retrospective Vietnamese OSCC formalin-fixed paraffin-embedded (FFPE) tumor samples, of which 101 were subjected to RNA-seq for classification based on gene expression.
Investigating combined hypoxia and stemness indices for prognostic transcripts in gastric cancer: Machine learning and network analysis approaches.
Biochem Biophys Rep
March 2025
Department of Genetics and Molecular Biology, Faculty of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran.
Introduction: Gastric cancer (GC) is among the deadliest malignancies globally, characterized by hypoxia-driven pathways that promote cancer progression, including stemness mechanisms facilitating invasion and metastasis. This study aimed to develop a prognostic decision tree using genes implicated in hypoxia and stemness pathways to predict outcomes in GC patients.
Materials And Methods: GC RNA-seq data from The Cancer Genome Atlas (TCGA) were analyzed to compute hypoxia and stemness scores using Gene Set Variation Analysis (GSVA) and the mRNA expression-based stemness index (mRNAsi).
inhibits glycolysis and promotes apoptosis of colorectal cancer cells via β‑catenin signaling.
Oncol Lett
March 2025
Department of Gastroenterology Surgery, Yichang Central People's Hospital, The First College of Clinical Medical Science, China Three Gorges University, Yichang, Hubei 443000, P.R. China.
Colorectal cancer (CRC) is one of the leading causes of cancer-related deaths worldwide. Glycolysis serves a crucial role in the development of CRC. The aim of the present study was to investigate the function of lectin galactoside-binding soluble 4 () in the regulation of glycolysis and its therapeutic potential in CRC.
View Article and Find Full Text PDFDeep learning radiomics analysis for prediction of survival in patients with unresectable gastric cancer receiving immunotherapy.
Eur J Radiol Open
June 2025
Department of Medical Oncology, The Fifth Medical Center, Chinese People's Liberation Army General Hospital, Beijing, PR China.
Objective: Immunotherapy has become an option for the first-line therapy of advanced gastric cancer (GC), with improved survival. Our study aimed to investigate unresectable GC from an imaging perspective combined with clinicopathological variables to identify patients who were most likely to benefit from immunotherapy.
Method: Patients with unresectable GC who were consecutively treated with immunotherapy at two different medical centers of Chinese PLA General Hospital were included and divided into the training and validation cohorts, respectively.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!