This paper reviews the clinical progress achieved in 2024 in the field of advanced non-small cell lung cancer (NSCLC), both nationally and internationally. In the area of targeted therapy, particularly for rare mutations, new targets beyond EGFR, ALK, and ROS1 mutations, such as KRAS G12C, HER2, and MET, have gained more clinical validation and approval for targeted drugs in 2024. KRAS G12C inhibitors have also shown significant improvements in disease control rates for patients. Novel dual-target inhibitors are increasingly attracting increasing attention, as these drugs target both primary driver mutations and secondary mutations associated with resistance, thus overcoming the resistance problemsoften seen with traditional targeted therapies. This approach has demonstrated the potential to extend progression-free survival (PFS) in clinical settings. Immunotherapy with PD-1/PD-L1 inhibitors will remain an important treatment option for advanced lung cancer in 2024. While single-agent immunotherapy has limited efficacy in some patients, new combination therapies have shown promising potential, particularly the combination of immune checkpoint inhibitors with chemotherapy, anti-angiogenesis drugs, and targeted therapies, which has been shown to significantly improve efficacy. Antibody-drug conjugates (ADCs) targeting HER2 mutations have also been approved. The development of anti-cancer drugs continues to evolve, with new combinations and strategies being actively explored.
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http://dx.doi.org/10.3760/cma.j.cn112147-20241103-00655 | DOI Listing |
Best Pract Res Clin Anaesthesiol
March 2024
Department of Anesthesiology and Critical Care Medicine, Memorial Sloan Kettering Cancer Center, Department of Anesthesia and Critical Care Medicine, 1275 York Avenue, New York, NY, 10028, USA. Electronic address:
The objectives of this minireview are two-fold. The first is to discuss the evolution of opioid analgesia in perioperative medicine in the context of thoracic non-cardiac surgery. Current standard-of-care, aiming to optimize analgesia and limit undesirable side effects, is discussed in the context of multimodal analgesia, specifically enhanced recovery after thoracic surgery pathways.
View Article and Find Full Text PDFBest Pract Res Clin Anaesthesiol
March 2024
1400 Holcombe Blvd, FC 13.2000, Houston, TX, 77030, USA. Electronic address:
Lung cancer is among one of the most commonly diagnosed malignancies and is the leading cause of cancer-related mortality in both men and women globally, with an estimated 1.8 million deaths annually. Moreover, it is also the leading cause of cancer related deaths in the United States (U.
View Article and Find Full Text PDFGenet Epidemiol
January 2025
Clinical and Translational Epidemiology Unit, Massachusetts General Hospital, Boston, Massachusetts, USA.
Large-scale gene-environment interaction (GxE) discovery efforts often involve analytical compromises for the sake of data harmonization and statistical power. Refinement of exposures, covariates, outcomes, and population subsets may be helpful to establish often-elusive replication and evaluate potential clinical utility. Here, we used additional datasets, an expanded set of statistical models, and interrogation of lipoprotein metabolism via nuclear magnetic resonance (NMR)-based lipoprotein subfractions to refine a previously discovered GxE modifying the relationship between physical activity (PA) and HDL-cholesterol (HDL-C).
View Article and Find Full Text PDFCancer Med
January 2025
The Huntsman Cancer Institute at the University of Utah, Salt Lake City, Utah, USA.
Introduction: The purpose of this study was to evaluate the association between body composition, overall survival, odds of receiving treatment, and patient-reported outcomes (PROs) in individuals living with metastatic non-small-cell lung cancer (mNSCLC).
Methods: This retrospective analysis was conducted in newly diagnosed patients with mNSCLC who had computed-tomography (CT) scans and completed PRO questionnaires close to metastatic diagnosis date. Cox proportional hazard models and logistic regression evaluated overall survival and odds of receiving treatment, respectively.
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