Lung cancer is a leading cause of death globally with high mortality and morbidity. Patients are often diagnosed at an advanced stage. Metformin has become a primary medication used in the clinical management of type 2 diabetes mellitus (T2DM) due to its relative safety, low cost, and effectiveness, mainly exerting its hypoglycemic effect by inhibiting hepatic gluconeogenesis and insulin resistance. Research data indicate that metformin extends the distant metastasis-free survival (DMFS) and progression-free survival (PFS) of diabetic patients with lung cancer, improving overall survival rates. Metformin lowers the risk of tumour development through various mechanisms, including the adenosine 5'-monophosphate-activated protein kinase/liver kinase B1/mechanistic target of rapamycin (AMPK/LKB1/mTOR) pathway, insulin-like growth factor-1 receptor pathway, apoptosis, and autophagy. However, research findings are not entirely consistent. This article reviews the research progress of metformin in terms of lung cancer treatment within the past few years, aiming to provide a more comprehensive understanding of how metformin exerts its anti-cancer impact and how it can be clinically applied, as well as provide new insights for lung cancer treatment.
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http://dx.doi.org/10.12968/hmed.2024.0349 | DOI Listing |
Respir Res
January 2025
Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
H3 lysine 4 trimethylation (H3K4me3) modification and related regulators extensively regulate various crucial transcriptional courses in health and disease. However, the regulatory relationship between H3K4me3 modification and anti-tumor immunity has not been fully elucidated. We identified 72 independent prognostic genes of lung adenocarcinoma (LUAD) whose transcriptional expression were closely correlated with known 27 H3K4me3 regulators.
View Article and Find Full Text PDFBMC Public Health
January 2025
Medical School of Nantong University, Nantong, 226001, Jiangsu, China.
Background: Ensuring equal access to affordable, high-quality, and satisfied healthcare for cancer patients is a challenge worldwide. Our study aimed to investigate preferences for public health insurance coverage of new anticancer drugs among non-small cell lung cancer (NSCLC) patients in China.
Methods: We identified six attributes of new anticancer drugs and adopted a Bayesian-efficient design to generate choice scenarios for a discrete choice experiment (DCE).
BMC Cancer
January 2025
Department of Pharmacy, Cancer Hospital of China Medical University, Liaoning Cancer Hospital and Institute, Shenyang, China.
Background: There is still no consensus regarding the correlation between TLS and the prognosis of lung cancer patients. This meta-analysis aimed to investigate the association between TLS and prognosis in patients with lung cancer. In addition, the prognostic value of TLS for the efficacy of immunotherapy was also studied.
View Article and Find Full Text PDFBMC Surg
January 2025
Department of Obstetrics and Gynecology, Firoozgar Clinical Research and Development Center (FCRDC), School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Background: Complete Cytoreduction (CC) in ovarian cancer (OC) has been associated with better outcomes. Outcomes after CC have a multifactorial and interrelated cause that may not be predictable by conventional statistical methods. Artificial intelligence (AI) may be more accurate in predicting outcomes.
View Article and Find Full Text PDFBMC Cancer
January 2025
Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, P.R. China.
Background: Co-existent pulmonary tuberculosis and lung cancer (PTB-LC) represent a unique disease entity often characterized by missed or delayed diagnosis. This study aimed to investigate the clinical and radiological features of patients diagnosed with PTB-LC.
Methods: Patients diagnosed with active PTB-LC (APTB-LC), inactive PTB-LC (IAPTB), and LC alone without PTB between 2010 and 2022 at our institute were retrospectively collected and 1:1:1 matched based on gender, age, and time of admission.
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