A Multidimensional Analysis of the Impact of Obesity on Immune Checkpoint Inhibitor Therapy Efficacy

Background and Research Motivation Obesity has been identified as an important risk factor for various malignancies. It not only promotes the growth and spread of tumor cells but also leads to generally poorer prognosis in patients. However, recent research has found that obese patients receiving immune checkpoint inhibitors (ICI) therapy, especial...

Association of Timely Comprehensive Genomic Profiling with Precision Oncology Treatment Use and Patient Outcomes in Advanced Non-Small-Cell Lung Cancer

Association of Timely Comprehensive Genomic Profiling with Precision Oncology Treatment Use and Patient Outcomes in Advanced Non-Small-Cell Lung Cancer

Study on the Association Between the Timeliness of Comprehensive Genomic Profiling in Precision Oncology and Treatment Choices and Outcomes for Patients with Advanced Non-Small Cell Lung Cancer Introduction Advanced non-small-cell lung cancer (ANSCLC) is a highly lethal malignancy, and treatment choices directly affect the overall survival rate of ...

Efficacy-Effectiveness Analysis on Survival in a Population-Based Real-World Study of BRAF-Mutated Metastatic Colorectal Cancer Patients Treated with Encorafenib-Cetuximab

Efficacy-Effectiveness Analysis of Encorafenib-Cetuximab Treatment in Patients with Oncogene-Mutated Metastatic Colorectal Cancer: A Cohort Study Research Background With the advancement of personalized medicine, targeted therapy has become an important means to treat various cancers. In metastatic colorectal cancer (mCRC), the combination of encor...

Enhanced Epithelial-Mesenchymal Transition Signatures Are Linked with Adverse Tumor Microenvironment, Angiogenesis, and Worse Survival in Gastric Cancer

Enhanced EMT Characteristics Associated with Unfavorable Tumor Microenvironment, Angiogenesis, and Poorer Prognosis in Gastric Cancer Academic Background Epithelial-Mesenchymal Transition (EMT) is an extremely important mechanism that promotes the metastasis of cancer cells. However, despite its apparent importance, the clinical significance of EMT...

Impact of a Deep Learning Sepsis Prediction Model on Quality of Care and Survival

Impact of Deep Learning Sepsis Prediction Model on Nursing Quality and Patient Survival Research Background Sepsis is a systemic inflammatory response caused by infection, affecting approximately 48 million people globally each year, with around 11 million deaths. Due to the heterogeneity of sepsis, early identification often faces significant chal...