The development of immune checkpoint inhibitors (ICIs) has changed the therapeutic paradigm of lung cancer (LC), becoming the standard of treatment for previously untreated advanced non-small cell lung cancer (NSCLC) without actionable mutations. It has allowed the achievement of durable responses and resulted in significant survival benefits. However, not all patients respond; hence, molecular biomarkers are needed to help us predict which patients will respond.
View Article and Find Full Text PDFLung cancer is a leading cause of morbidity and mortality globally, with its high mortality rate attributed mainly to non-small cell lung cancer (NSCLC). Although immunotherapy with immune checkpoint inhibitors (ICI) has revolutionized its treatment, patient response is highly variable and lacking predictive markers. We conducted a prospective study on 55 patients with NSCLC undergoing ICI therapy to identify predictive markers of both response and immune-related adverse events (IrAEs) in the airway microbiota.
View Article and Find Full Text PDFBackground: Immune checkpoint inhibitors (ICIs) have been proposed as the standard first-line and subsequent treatment for metastatic non-small cell lung cancer (NSCLC). This study analyzed whether patients with good lung immune prognostic index (LIPI) have a better response to ICIs and the relationship between immune-related adverse events (irAEs) and response in clinical practice.
Methods: This was an observational, retrospective, single-center study.
Immune checkpoint inhibitors have been proposed as the standard treatment for different stages of non-small-cell lung cancer in multiple indications. Not all patients benefit from these treatments, however, and certain patients develop immune-related adverse events. Although the search for predictors of response to these drugs is a major field of research, these issues have yet to be resolved.
View Article and Find Full Text PDF(1) Despite the effectiveness of immune checkpoint inhibitors (ICIs) in lung cancer, there is a lack of knowledge about predictive biomarkers. The objective of our study is to analyze different subsets of T-lymphocytes and natural killer (NK) cells as predictive biomarkers in a cohort of patients with nonsmall cell lung cancer (NSCLC) treated with ICI. (2) This is an observational, prospective study with 55 NSCLC patients treated with ICI.
View Article and Find Full Text PDFBackground and Aims: Malnutrition is a condition that has a great impact on oncology patients. Poor nutritional status is often associated with increased morbidity and mortality, increased toxicity, and reduced tolerance to chemotherapy, among other complications. The recently developed GLIM criteria for malnutrition aim to homogenize its diagnosis, considering the baseline disease status.
View Article and Find Full Text PDFBackground: Many studies have assessed different malnutrition screening tools in oncologic patients. However, very few have been carried out using the new GLIM criteria for malnutrition. The objective of our study is to compare the most recommended screening tools with respect to the new GLIM criteria for malnutrition in cancer patients.
View Article and Find Full Text PDFBackground & Aims: Malnutrition is one of the most prevalent problems among oncological patients. It reduces the response to treatments and negatively impacts survival. In 2019, a consensus criteria for diagnosing malnutrition (GLIM criteria) were proposed by most scientific nutrition societies.
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