Lung cancer is the leading cause in cancer related death, with non-small cell lung cancer (NSCLC) being the most frequent subtype. The importance of NSCLC is reflected by the various targeted therapy options especially for NSCLC adenocarcinomas (lung adeno carcinoma (LUAD)) as well as a set of options for immune therapies. However, despite these therapy advances, the majority of patients do not show a long-term response to either targeted therapy or immune checkpoint inhibition. One reason for treatment failure appears to be the NSCLC tumor heterogeneity. NSCLC heterogeneity might lead to an insufficient molecular characterization of a given sample due to the limited tumor material used for pathological assessment as the majority of analyses is performed on small biopsies. To get a more detailed insight into the tumor heterogeneity of NSCLC LUAD, especially in the light of its different histomorphological growth patterns, we analysed isolated NSCLC growth pattern areas and the corresponding entire tumor samples of a cohort of 31 NSLCS LUAD patients and compared their mutational landscape and their expression profiles. While significant differences of complex biomarkers, like tumor mutational burden (TMB) or microsatellite instability (MSI), were not detected between the five growth patterns -lepidic, papillary, micropapillary, acinar, and solid- we observed various subclonal mutations and copy number variants. Moreover, RNASeq analysis revealed growth pattern specific expression profiles affecting cellular processes like apoptosis, metastasis and proliferation. Taken together, our data provide novel insights into the tumor heterogeneity of LUAD required to overcome tumor heterogeneity related therapy resistance.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10848034 | PMC |
http://dx.doi.org/10.1016/j.neo.2023.100955 | DOI Listing |
Cancer Med
February 2025
Pulmonology and Thoracic Oncology Department, APHP Hôpital Tenon and Sorbonne Université, Paris, France.
Background: Real-world data regarding patients with non-small cell lung cancer (NSCLC) with EGFR exon 20 insertion (ex20ins) mutations receiving mobocertinib are limited. This study describes these patients' characteristics and outcomes.
Methods: A chart review was conducted across three countries (Canada, France, and Hong Kong), abstracting data from eligible patients (NCT05207423).
Viruses
December 2024
Thomas H. Gosnell School for Life Sciences, Rochester Institute of Technology, Rochester, NY 14623, USA.
Vesicular Stomatitis Virus (VSV) has emerged as a promising candidate for various clinical applications, including vaccine development, virus pseudotyping, and gene delivery. Its broad host range, ease of propagation, and lack of pre-existing immunity in humans make it ideal for therapeutic use. VSV's potential as an oncolytic virus has garnered attention; however, resistance to VSV-mediated oncolysis has been observed in some cell lines and tumor types, limiting its effectiveness.
View Article and Find Full Text PDFPharmaceutics
January 2025
Laboratory of Nuclear Medicine (LIM-43), Hospital das Clinicas HCFMUSP, Faculdade de Medicina, Universidade de Sao Paulo, Sao Paulo 05403-911, SP, Brazil.
Background/objectives: Dithiocarbazates (DTCs) and their metal complexes have been studied regarding their property as anticancer activities. In this work, using S-benzyl-5-hydroxy-3-methyl-5-phenyl-4,5-dihydro-1H-pirazol-1-carbodithionate (Hbdtc), we prepared [ReO(bdtc)(Hbdtc)] and [[Tc]TcO(bdtc)(Hbdtc)] complexes for tumor uptake and animal biodistribution studies.
Methods: Re complex was prepared by a reaction of H2bdtc and (NBu)[ReOCl], the final product was characterized by IR, H NMR, CHN, and MS-ESI.
Pharmaceuticals (Basel)
January 2025
Department of Biomedicine, Texas A&M University, College Station, TX 77843, USA.
Recent developments in single-cell multi-omics technologies have provided the ability to identify diverse cell types and decipher key components of the tumor microenvironment (TME), leading to important advancements toward a much deeper understanding of how tumor microenvironment heterogeneity contributes to cancer progression and therapeutic resistance. These technologies are able to integrate data from molecular genomic, transcriptomic, proteomics, and metabolomics studies of cells at a single-cell resolution scale that give rise to the full cellular and molecular complexity in the TME. Understanding the complex and sometimes reciprocal relationships among cancer cells, CAFs, immune cells, and ECs has led to novel insights into their immense heterogeneity in functions, which can have important consequences on tumor behavior.
View Article and Find Full Text PDFPharmaceuticals (Basel)
January 2025
Department of Oral and Maxillofacial Surgery, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, 22# Zhongguancun South Avenue, Haidian District, Beijing 100081, China.
Tumors, as intricate ecosystems, comprise oncocytes and the highly dynamic tumor stroma. Tumor stroma, representing the non-cancerous and non-cellular composition of the tumor microenvironment (TME), plays a crucial role in oncogenesis and progression, through its interactions with biological, chemical, and mechanical signals. This review aims to analyze the challenges of stroma mimicry models, and highlight advanced personalized co-culture approaches for recapitulating tumor stroma using patient-derived tumor organoids (PDTOs).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!