Discovery of ligands specific to receptor(s) on a surface of a cancer cell could impact clinical issues including functional diagnosis and cell-specific drug delivery. Using a phage display approach, we have isolated 20-mer peptide ligands that bind to 3 different human lung tumor cell lines, NCI-H1299, NCI-H2009, and A549. The panning protocol is unbiased with no selection pressure towards binding a particular cellular receptor. The isolated phage bind to their target cells 24-300 times better than a control phage. Furthermore, the isolated peptides display remarkable cell-specificities and are able to discriminate between normal and cancerous cells as well as different lung tumor cells. The cell-specificities are not coincident with tumor classes indicating that the peptides are able to recognize cell-surface features that are not represented within the classification of tumor type. The isolated peptides are functional outside of the context of the phage and multimerization of the peptide increases its affinity for its given cell type, thus expanding their utility in clinical situations.
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http://dx.doi.org/10.1016/j.canlet.2003.08.011 | DOI Listing |
Clin Exp Med
January 2025
Pathology Department, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Lung cancer is one of the major causes of cancer morbidity and mortality. Subtyping of non-small cell lung cancer is necessary owing to different treatment options. This study is to evaluate the value of immunohistochemical expression of glypican-1 in the diagnosis of lung squamous cell carcinoma (SCC).
View Article and Find Full Text PDFAnn Thorac Surg
January 2025
Thoracic Surgery Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, New York.
Background: The use of local consolidative therapy (LCT) in patients with oligometastatic non-small cell lung cancer (NSCLC) is rapidly evolving, with a preponderance of data supporting the benefits of such therapeutic approaches incorporating pulmonary resection for appropriately selected candidates. However, practices vary widely institutionally and regionally, and evidence-based guidelines are lacking.
Methods: The Society of Thoracic Surgeons assembled a panel of thoracic surgical oncologists to evaluate and synthesize the available evidence regarding the role of pulmonary resection as LCT.
Nucleic Acids Res
January 2025
Institute of Biotechnology, Life Sciences Center, Vilnius University, Vilnius, 10257, Lithuania.
The expansion of single-cell analytical techniques has empowered the exploration of diverse biological questions at the individual cells. Droplet-based single-cell RNA sequencing (scRNA-seq) methods have been particularly widely used due to their high-throughput capabilities and small reaction volumes. While commercial systems have contributed to the widespread adoption of droplet-based scRNA-seq, their relatively high cost limits the ability to profile large numbers of cells and samples.
View Article and Find Full Text PDFNat Prod Res
January 2025
Institute of Biopharmaceutical and Health Engineering, State Key Laboratory of Chemical Oncogenomics, Shenzhen Key Laboratory of Gene and Antibody Therapy, Shenzhen International Graduate School, Tsinghua University, Shenzhen, Guangdong, China.
Sophaline B (SPB), extracted from the seeds of L., is a natural bioactive compound that effectively exerts antiviral activities against the hepatitis B virus. This is the first study to demonstrate that SPB exerts anti-tumor effects on NSCLC by inducing pyroptosis and autophagy.
View Article and Find Full Text PDFAnn Med
December 2025
Department of Radio-Chemotherapy, Affiliated Hospital of Yangzhou University, Yangzhou University, Yangzhou, Jiangsu, China.
Background: Non-small cell lung cancer (NSCLC) is a fatal disease, and radioresistance is an important factor leading to treatment failure and disease progression. The objective of this research was to detect radioresistance-related genes (RRRGs) with prognostic value in NSCLC.
Methods: The weighted gene coexpression network analysis (WGCNA) and differentially expressed genes (DEGs) analysis were performed to identify RRRGs using expression profiles from TCGA and GEO databases.
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