Importance: Only a small fraction of patients with advanced non-small cell lung cancer (NSCLC) respond to immune checkpoint inhibitor (ICI) treatment. For optimal personalized NSCLC care, it is imperative to identify patients who are most likely to benefit from immunotherapy.
Objective: To develop a supervised deep learning-based ICI response prediction method; evaluate its performance alongside other known predictive biomarkers; and assess its association with clinical outcomes in patients with advanced NSCLC.
Purpose: Most patients with cancer will be hospitalized throughout the disease course. However, most evidence on the causes and outcomes of these hospitalizations comes from administrative data or small retrospective studies from high-income countries.
Methods: This study is a retrospective cohort of patients with solid tumors hospitalized from February 1, 2021, to December 31, 2021, in a tertiary cancer center in São Paulo, Brazil.
Clin Genitourin Cancer
June 2024
Background: High-dose chemotherapy followed by stem cell transplant (HDCT) is potentially curative for patients with refractory germ cell tumors (rGCT). There is scarce real-world data supporting its implementation in low- and middle-income countries. We described the experience of our tertiary cancer center in Sao Paulo, Brazil.
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