Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: Lung cancer is the leading cause of brain metastases (BM). The identification of driver oncogenes and matched targeted therapies has improved outcome in non-small cell lung cancer (NSCLC) patients; however, a better understanding of BM molecular biology is needed to further drive the process in this field.

Methods: In this observational study, stage IV NSCLC patients tested for and mutations were selected, and BM incidence, recurrence and patients' outcome were assessed.

Results: A total of 144 patients (142 Caucasian and two Asian) were selected, including 11.27% with -mutant and 33.10% with -mutant tumors, and 57.04% patients had developed BM. BM incidence was more frequent in patients with mutation according to multivariate analyses (MVA) (Odds ratio OR = 8.745 [1.743-43.881], = 0.008). Among patients with treated BM, recurrence after local treatment was less frequent in patients with mutation (OR = 0.234 [0.078-0.699], = 0.009). Among patients with untreated BM, overall survival (OS) was shorter for patients with mutation according to univariate analysis (OR = 7.130 [1.240-41.012], = 0.028), but not MVA.

Conclusions: and mutations have a predictive role on BM incidence, recurrence and outcome in Caucasian NSCLC patients. These results may impact the routine management of disease in these patients. Further studies are required to assess the influence of other biomarkers on NSCLC BM.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5187932PMC
http://dx.doi.org/10.3390/ijms17122132DOI Listing

Publication Analysis

Top Keywords

lung cancer
12
nsclc patients
12
patients mutation
12
patients
11
brain metastases
8
non-small cell
8
cell lung
8
incidence recurrence
8
frequent patients
8
egfr kras
4

Similar Publications

The MET receptor tyrosine kinase is a pivotal regulator of cellular survival, motility, and proliferation. Mutations leading to skipping of exon 14 (METΔex14) within the juxtamembrane domain of MET impair receptor degradation and prolong oncogenic signaling, contributing significantly to tumor progression across multiple cancer types. METΔex14 mutations are associated with aggressive clinical behavior, therapeutic resistance, and poor outcomes.

View Article and Find Full Text PDF

MicroRNAs (miRNAs) are critical regulators of gene expression in cancer biology, yet their spatial dynamics within tumor microenvironments (TMEs) remain underexplored due to technical limitations in current spatial transcriptomics (ST) technologies. To address this gap, we present STmiR, a novel XGBoost-based framework for spatially resolved miRNA activity prediction. STmiR integrates bulk RNA-seq data (TCGA and CCLE) with spatial transcriptomics profiles to model nonlinear miRNA-mRNA interactions, achieving high predictive accuracy (Spearman's ρ > 0.

View Article and Find Full Text PDF

Heart failure (HF) and lung cancer (LC) often coexist, yet their shared molecular mechanisms are unclear. We analyzed transcriptome data from the NCBI Gene Expression Omnibus (GEO) database (GSE141910, GSE57338) to identify 346 HF‑related differentially expressed genes (DEGs), then combined weighted gene co-expression network analysis (WGCNA) pinpointed 70 hub candidates. Further screening of these 70 hub candidates in TCGA lung cancer cohorts via LASSO, Random Forest, and multivariate Cox regression suggested CYP4B1 as the only independent prognostic marker.

View Article and Find Full Text PDF

Volumetric modulated arc therapy (VMAT) for lung cancer involves complex multileaf collimator (MLC) motion, which increases sensitivity to interplay effects with tumour motion. Current dynamic conformal arc methods address this issue but may limit the achievable dose distribution optimisation compared with standard VMAT. This study examined the clinical utility of a VMAT technique with monitor unit limits (VMATliMU) to mimic conformal arc delivery and reduce interplay effects while maintaining plan quality.

View Article and Find Full Text PDF

Importance: Patients with advanced cancer frequently receive broad-spectrum antibiotics, but changing use patterns across the end-of-life trajectory remain poorly understood.

Objective: To describe the patterns of broad-spectrum antibiotic use across defined end-of-life intervals in patients with advanced cancer.

Design, Setting, And Participants: This nationwide, population-based, retrospective cohort study used data from the South Korean National Health Insurance Service database to examine broad-spectrum antibiotic use among patients with advanced cancer who died between July 1, 2002, and December 31, 2021.

View Article and Find Full Text PDF