AI Article Synopsis
- This study investigates the role of combined overexpression of two genes, FEN1 and RAD54B, in lung adenocarcinoma and its association with patient prognosis.
- Analysis was performed on tissue samples from 93 patients using immunohistochemical staining, revealing that overexpression of these genes correlates with poor prognosis and advanced disease.
- Findings suggest that patients with high levels of both FEN1 and RAD54B may benefit from closer monitoring and targeted therapies to potentially improve their clinical outcomes.
Article Abstract
Synthetic lethality arises when a combination of mutations in two or more genes leads to cell death. However, the prognostic role of concordant overexpression of synthetic lethality genes in protein level rather than a combination of mutations is not clear. In this study, we explore the prognostic role of combined overexpression of paired genes in lung adenocarcinoma. We used immunohistochemical staining to investigate 24 paired genes in 93 lung adenocarcinoma patients and Kaplan-Meier analysis and Cox proportional hazards models to evaluate their prognostic roles. Among 24 paired genes, only FEN1 (Flap endonuclease 1) and RAD54B (RAD54 homolog B) were overexpressed in lung adenocarcinoma patients with poor prognosis. Patients with expression of both FEN1 and RAD54B were prone to have advanced nodal involvement and significantly poor prognosis (HR = 2.35, P = 0.0230). These results suggest that intensive follow up and targeted therapy might improve clinical outcome for patients who show expression of both FEN1 and RAD54B.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4592204 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0139435 | PLOS |
Publication Analysis
Top Keywords
Similar Publications
Sequential Proteomic and N-Glycoproteomic Analyses of Bronchoalveolar Lavage Fluids for Potential Biomarker Discovery of Lung Adenocarcinoma.
J Proteome Res
January 2025
The First Affiliated Hospital of Ningbo University, Ningbo315010, P.R. China.
Lung adenocarcinoma (LUAD) is the most common histological subtype of nonsmall-cell lung cancer. Herein, a multiomics method, which combined proteomic and N-glycoproteomic analyses, was developed to analyze the normal and cancerous bronchoalveolar lavage fluids (BALFs) from six LUAD patients to identify potential biomarkers of LUAD. The data-independent acquisition proteomic analysis was first used to analyze BALFs, which identified 59 differentially expressed proteins (DEPs).
View Article and Find Full Text PDFSpontaneous Transformation from Lung Adenocarcinoma to MYC-amplified Large Cell Neuroendocrine Carcinoma.
Pathol Int
January 2025
Department of Cancer Pathology, Graduate School of Medicine, Hokkaido University, Hokkaido, Japan.
Recent studies suggest that lung adenocarcinoma cells are closely associated with the tumorigenesis of large-cell neuroendocrine carcinoma via cellular transformation. However, morphological evidence, along with genetic abnormalities before, during, and after transformation, is quite limited. We present here a case of combined large-cell neuroendocrine carcinoma and adenocarcinoma exhibiting acinar and solid patterns.
View Article and Find Full Text PDFMultifractal Spectrum Analysis for Assessing Pulmonary Nodule Malignancy.
J Vis Exp
January 2025
Fever Outpatient Clinic, Dongzhimen Hospital, Affiliated to Beijing University of Chinese Medicine;
Non-invasive assessment of pulmonary nodule malignancy remains a critical challenge in lung cancer diagnosis. Traditional methods often lack precision in differentiating benign from malignant nodules, particularly in the early stages. This study introduces an approach using multifractal spectrum analysis to quantitatively evaluate pulmonary nodule characteristics.
View Article and Find Full Text PDFUnlabelled: Immune escape is a critical hallmark of cancer progression and underlies resistance to multiple immunotherapies. However, it remains unclear when the genetic events associated with immune escape occur during cancer development. Here, we integrate functional genomics studies of immunomodulatory genes with a tumor evolution reconstruction approach to infer the evolution of immune escape across 38 cancer types from the Pan-Cancer Analysis of Whole Genomes dataset.
View Article and Find Full Text PDFLung cancer is a leading cause of cancer-related mortality, with disparities in incidence and outcomes observed across different racial and sex groups. Understanding the genetic factors of these disparities is critical for developing targeted treatment therapies. This study aims to identify both patient-specific and cohort-specific biomarker genes that contribute to lung cancer health disparities among African American males (AAMs), European American males (EAMs), African American females (AAFs), and European American females (EAFs).
View Article and Find Full Text PDFWant 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!