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Targeting T cell exhaustion: emerging strategies in non-small cell lung cancer.
Front Immunol
December 2024
Department of Thoracic Surgery, Jiangmen Central Hospital, Jiangmen, Guangdong, China.
Lung cancer continues to be a major contributor to cancer-related deaths globally. Recent advances in immunotherapy have introduced promising treatments targeting T cell functionality. Central to the efficacy of these therapies is the role of T cells, which are often rendered dysfunctional due to continuous antigenic stimulation in the tumor microenvironment-a condition referred to as T cell exhaustion.
View Article and Find Full Text PDFInternational consensus to define outcomes for trials of chemoradiotherapy for anal cancer (CORMAC-2): defining the outcomes from the CORMAC core outcome set.
EClinicalMedicine
December 2024
NIHR Manchester Biomedical Research Centre, Division of Cancer Sciences, School of Medical Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester, UK.
Variation in outcomes definitions and reporting limit the utility of clinical trial results. The Core Outcome Research Measures in Anal Cancer (CORMAC) project developed a core outcome set (COS) for chemoradiotherapy trials for anal squamous cell carcinoma (ASCC) through an international healthcare professional and patient consensus process. The CORMAC-COS comprises 19 outcomes across 4 domains (disease activity, survival, toxicity, life impact).
View Article and Find Full Text PDFBaicalein, a natural flavonoid in gastrointestinal cancers treatment: recent trends and future perspectives.
Med Oncol
December 2024
Department of Bio-Sciences and Technology, MMEC, Maharishi Markandeshwar (Deemed to Be University), Mullana, India.
Gastrointestinal cancer is a malignant condition of the gastrointestinal tract (GI) which affect multi-organs of digestive system, such as esophagus, stomach, biliary system, pancreas, small intestine, large intestine, rectum, and anus. Gastrointestinal cancer is a 5th most common malignant cancer and 4th major cause in cancer-related mortality rate. Various significant facilities are available that have reduced the radio-resistance, chemo-resistance, and their adverse side effects.
View Article and Find Full Text PDFPerformance Comparison of 10 State-of-the-Art Machine Learning Algorithms for Outcome Prediction Modeling of Radiation-Induced Toxicity.
Adv Radiat Oncol
February 2025
Departments of Radiation Physics.
Purpose: To evaluate the efficacy of prominent machine learning algorithms in predicting normal tissue complication probability using clinical data obtained from 2 distinct disease sites and to create a software tool that facilitates the automatic determination of the optimal algorithm to model any given labeled data set.
Methods And Materials: We obtained 3 sets of radiation toxicity data (478 patients) from our clinic: gastrointestinal toxicity, radiation pneumonitis, and radiation esophagitis. These data comprised clinicopathological and dosimetric information for patients diagnosed with non-small cell lung cancer and anal squamous cell carcinoma.
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