Objectives: Lung Cancer (LC) is a multifactorial disease for which the role of genetic susceptibility has become increasingly relevant. Our aim was to use artificial intelligence (AI) to analyze differences between patients with LC based on family history of cancer (FHC).
Materials And Methods: From August 2016 to June 2020 clinical information was obtained from Thoracic Tumors Registry (TTR), a nationwide database sponsored by the Spanish Lung Cancer Group.
The use of anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKIs), such as lorlatinib, for the treatment of patients with ALK gene rearrangement (or ALK-positive) non-small cell lung cancer (NSCLC) has been shown to improve the overall survival and quality of life of these patients. However, lorlatinib is not exempt from potential adverse events. Adequate monitoring and management of these adverse events are critical for increasing patient adherence to lorlatinib, thereby maximizing the benefits of treatment and minimizing the risks associated with treatment discontinuation.
View Article and Find Full Text PDFBackground: Early detection is crucial to improve lung cancer survival rates. Delays in diagnosis might negatively impact the prognosis of the disease. This study aims to analyze the diagnostic delay in lung cancer patients and describe if there is an association between delay and survival.
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