Lung cancer is a malignant tumor with the highest mortality rate worldwide. Non-small cell lung cancer (NSCLC) accounts for approximately half of all lung cancer cases. Inhibin beta A (INHBA) is a ligand of the transforming growth factor-beta superfamily. This study aimed to analyze the function of INHBA in NSCLC resistance cells. Gene Expression Omnibus and The Cancer Genome Atlas databases were used to identify differentially expressed genes (DEGs) in NSCLC resistance cells and patients. DEGs were further analyzed by gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis. A colony formation assay was performed to determine cell growth. Cell migration and invasion were tested by Transwell assay. Epithelial-mesenchymal transition (EMT)-related genes were analyzed using qRT-PCR and Western blot analysis. Using bioinformatics tools, INHBA was demonstrated to be overexpressed in NSCLC resistant cells and patients. Gefitinib treatment affected NSCLC resistant cells. Additionally, INHBA silencing or X-ray treatment suppressed the growth and metastasis of NSCLC resistant cells. Moreover, the combined application of INHBA silencing and X-ray treatment enhances the therapeutic effects. Moreover, EMT has been confirmed to occur in NSCLC resistant cell lines. Both INHBA silencing and X-ray treatment inhibited EMT development. This study demonstrated that INHBA silencing ameliorates EGFR-TKI resistance and enhances the therapeutic effect of radiotherapy in NSCLC.
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http://dx.doi.org/10.1007/s10528-024-10961-9 | DOI Listing |
DNA Cell Biol
January 2025
Department of Anesthesiology, The Third Affiliated Hospital of Qiqihar Medical University, Qiqihar, China.
Lung cancer represents a significant global health burden, with non-small cell lung cancer (NSCLC) being the most common subtype. The current standard of care for NSCLC has limited efficacy, highlighting the necessity for innovative treatment options. Lidocaine, traditionally recognized as a local anesthetic, has emerged as a compound with potential antitumor and anti-inflammatory capabilities.
View Article and Find Full Text PDFCancer Res Commun
January 2025
University of Minnesota, Minnesota, MN, United States.
Neuroendocrine neoplasms (NENs) encompass a diverse set of malignancies with limited precision therapy options. Recently, therapies targeting DLL3 have shown clinical efficacy in aggressive NENs, including small cell lung cancers and neuroendocrine prostate cancers. Given the continued development and expansion of DLL3-targeted therapies, we sought to characterize the expression of DLL3 and identify its clinical and molecular correlates across diverse neuroendocrine and non-neuroendocrine cancers.
View Article and Find Full Text PDFAsian Pac J Cancer Prev
January 2025
Department of Physics, Faculty of Sciences, Arak University, Arak, Iran.
Objective: Addressing the rising cancer rates through timely diagnosis and treatment is crucial. Additionally, cancer survivors need to understand the potential risk of developing secondary cancer (SC), which can be influenced by several factors including treatment modalities, lifestyle choices, and habits such as smoking and alcohol consumption. This study aims to establish a novel relationship using linear regression models between dose and the risk of SC, comparing different prediction methods for lung, colon, and breast cancer.
View Article and Find Full Text PDFAsian Pac J Cancer Prev
January 2025
Department of Biotechnology, Kakatiya University, Warangal, Telangana, India.
Objective: A new library of Thiazolidine-2,4-dione-biphenyl Derivatives derivatives (10a-j) was designed and synthesized. All compounds were characterized by spectral data. Further, these were evaluated for their in vitro anticancer activity.
View Article and Find Full Text PDFAsian Pac J Cancer Prev
January 2025
Department of Medical Oncology, RGCI&RC, Delhi, India.
Background: Human Lung Carcinoma (LC) is among the most diagnosed cancers across the world among those non-small cell lung cancer (NSCLC) comprises about 85%. Next Generation Sequencing based detection of mutations are now well established in molecular oncology. With the advent of modern diagnostic methods, it is now well known that there are several mutations and gene rearrangements which are associated with the development of LC.
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