AI Article Synopsis
Article Abstract
Lung adenocarcinoma (LUAD) is the most common pathologic subgroup of lung cancer. The role of basic leucine zipper and W2 domains 2 (BZW2) in tumorigenesis has been investigated, while the functions and molecular mechanisms of BZW2 in LUAD remain undetermined. Our study aimed to investigate the effect of BZW2 in LUAD tumorigenesis and prognostic prediction. LUAD patients who underwent complete resection with tumor available for histologic evaluation were collected, and immunohistochemistry (IHC) was performed and scored for intensity of BZW2 expression. Overall survival (OS) and disease free survival (DFS) were estimated and compared between groups. Hazard ratios (HRs) for death were estimated using univariable and multivariable Cox proportional hazards models. BZW2 was considerably raised in the archival tissue samples from LUAD patients relative to those in healthy controls. High BZW2 expression was associated with unfavorable OS and DFS in LUAD patients. Coincidently, the up-regulated BZW2 was related to tumorigenesis, including tumor size, stage, and lymphatic invasion. In addition, we also found a positive correlation between and expression. BZW2 may be a clinical molecular biomarker for the prognosis of LUAD patients.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6949873 | PMC |
Publication Analysis
Top Keywords
Similar Publications
Diagnosis of lung cancer using salivary miRNAs expression and clinical characteristics.
BMC Pulm Med
January 2025
Universal Scientific Education and Research Network (USERN), Tehran, Iran.
Objective: Lung cancer (LC), the primary cause for cancer-related death globally is a diverse illness with various characteristics. Saliva is a readily available biofluid and a rich source of miRNA. It can be collected non-invasively as well as transported and stored easily.
View Article and Find Full Text PDFTLR7: A Key Prognostic Biomarker and Immunotherapeutic Target in Lung Adenocarcinoma.
Biomedicines
January 2025
Department of Immunology, The Fourth Military Medical University, Xi'an 710032, China.
The tumor microenvironment (TME) plays a crucial role in the progression of lung adenocarcinoma (LUAD). However, understanding its dynamic immune and stromal modulation remains a complex challenge. We utilized the ESTIMATE algorithm to evaluate the immune and stromal components of the LUAD TME from the TCGA database.
View Article and Find Full Text PDFMultiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma.
Sci Rep
January 2025
Department of Respiratory Diseases, Qilu Hospital of Shandong University, No. 107, Culture West Road, Jinan, Shandong, China.
To integrate machine learning and multiomic data on lactylation-related genes (LRGs) for molecular typing and prognosis prediction in lung adenocarcinoma (LUAD). LRG mRNA and long non-coding RNA transcriptomes, epigenetic methylation data, and somatic mutation data from The Cancer Genome Atlas LUAD cohort were analyzed to identify lactylation cancer subtypes (CSs) using 10 multiomics ensemble clustering techniques. The findings were then validated using the GSE31210 and GSE13213 LUAD cohorts.
View Article and Find Full Text PDFMetagenomic and Transcriptomic Analysis Reveals Crosstalk Between Intratumor Mycobiome and Hosts in Early-Stage Nonsmoking Lung Adenocarcinoma Patients.
Thorac Cancer
January 2025
Department of Thoracic Surgery and Lung Transplantation, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, China.
Background: The mycobiome in the tumor microenvironment of non-smokers with early-stage lung adenocarcinoma (ES-LUAD) has been minimally investigated.
Methods: In this study, we conducted ultra-deep metagenomic and transcriptomic sequencing on 128 samples collected from 46 nonsmoking ES-LUAD patients and 41 healthy controls (HC), aiming to characterize the tumor-resident mycobiome and its interactions with the host.
Results: The results revealed that ES-LUAD patients exhibited fungal dysbiosis characterized by reduced species diversity and significant imbalances in specific fungal abundances.
Macrophage heterogeneity and oncogenic mechanisms in lung adenocarcinoma: insights from scRNA-seq analysis and predictive modeling.
Front Immunol
January 2025
Tianjin Chest Hospital, Tianjin University, Tianjin, China.
Background: Macrophages play a dual role in the tumor microenvironment(TME), capable of secreting pro-inflammatory factors to combat tumors while also promoting tumor growth through angiogenesis and immune suppression. This study aims to explore the characteristics of macrophages in lung adenocarcinoma (LUAD) and establish a prognostic model based on macrophage-related genes.
Method: We performed scRNA-seq analysis to investigate macrophage heterogeneity and their potential pseudotime evolutionary processes.
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!