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Background And Aim: Lung cancer remains one of the most threatening malignancies, ranking as the second most diagnosed cancer, and it continues to be the leading cause of cancer-related deaths worldwide. Challenges persist with late diagnosis and the high mutational burden characteristic of lung cancer.
Methods: Our study focuses on identifying the mutational spectrum of a cohort of advanced-stage non-small cell lung cancer (NSCLC) patients using a minimally invasive method through blood collection. To analyze the mutational landscape of these patients, we employed plasma DNA for the next-generation sequencing (NGS) cancer panel Ion Torrent, which contains 50 of the most mutated genes in lung cancer. All protocols for extraction, quality and quantity control, and library preparation follow the manufacturer's rules. Bioinformatics analysis was performed to select pathogenic mutations versus non-pathogenic-benign ones.
Results: This approach is particularly valuable for patients in advanced stages (III and IV, n=10) of lung adenocarcinoma and lung squamous cell carcinoma, who lack surgical options and limited therapeutic avenues. The comprehensive sequencing analysis revealed that nine of the ten lung cancer patients carried a TP53 mutation. Also, several other mutations exist in various cases, showing heterogeneous profiling.
Conclusions: Our findings demonstrate the potential of liquid biopsies in providing crucial genetic insights that can guide personalized treatment strategies, improving the management and outcomes for patients with advanced lung cancer.
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http://dx.doi.org/10.15386/mpr-2763 | DOI Listing |
Ann Surg Oncol
September 2025
Department of Thoracic Surgery, Kitasato University School of Medicine, Sagamihara, Kanagawa, Japan.
J Cancer Res Clin Oncol
September 2025
Inner Mongolia Medical University Affiliated Hospital, Hohhot, 010030, Inner Mongolia, China.
Purpose: Lung cancer is currently the most common malignant tumor worldwide and one of the leading causes of cancer-related deaths, posing a serious threat to human health. MicroRNAs (miRNAs) are a class of endogenous non-coding small RNA molecules that regulate gene expression and are involved in various biological processes associated with lung cancer. Understanding the mechanisms of lung carcinogenesis and detecting disease biomarkers may enable early diagnosis of lung cancer.
View Article and Find Full Text PDFCancer Immunol Immunother
September 2025
Department of Thoracic Surgery, Tangdu Hospital, Fourth Military Medical University, Xi'an, 710038, China.
Objective: CircRNAs are involved in cancer progression. However, their role in immune escape in non-small cell lung cancer (NSCLC) remains poorly understood.
Methods: This study employed RIP-seq for the targeted enrichment of circRNAs, followed by Western blotting and RT-qPCR to confirm their expression.
Nat Genet
September 2025
Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK.
Aberrant DNA methylation has been described in nearly all human cancers, yet its interplay with genomic alterations during tumor evolution is poorly understood. To explore this, we performed reduced representation bisulfite sequencing on 217 tumor and matched normal regions from 59 patients with non-small cell lung cancer from the TRACERx study to deconvolve tumor methylation. We developed two metrics for integrative evolutionary analysis with DNA and RNA sequencing data.
View Article and Find Full Text PDFNat Prod Bioprospect
September 2025
College of Pharmaceutical Sciences, Key Laboratory of Medicinal Chemistry and Molecular Diagnostics of Education Ministry of China, State Key Laboratory of New Pharmaceutical Preparations and Excipients, Hebei University, Baoding, 071002, People's Republic of China.
Five new heterodimers, chalasoergodimers A-E (1-5), and three known heterodimers (6-8), along with four chaetoglobosin monomers (9-12), were isolated from a marine-derived Chaetomium sp. fungus. The structures of new compounds 1-5 were elucidated by HRESIMS, NMR, chemical calculated C NMR and ECD methods.
View Article and Find Full Text PDF