JAMA Oncology

Emerging Artificial Intelligence Technologies for Risk Assessment and Management in Acute Myeloid Leukemia

Importance  Acute myeloid leukemia (AML) is a severe hematologic cancer with complex genetic heterogeneity necessitating personalized treatment approaches. Artificial intelligence (AI) technologies may revolutionize risk stratification, diagnosis enhancement, and treatment planning in addressing critical gaps in AML management, particularly in low-resource…

Enhancing Clinical Cancer Research Through Sharing of Data and Biospecimens

Importance  Molecular analyses of biospecimens collected from study participants are essential for identifying biomarkers that can tailor treatments to specific subsets of patients who are most likely to benefit. Sharing of data and biospecimens from clinical trials enables personalized, patient-centric use…

Cost-Effectiveness of Adjuvant Immunotherapy in Cancer Treatments – A Systematic Review

Importance  Adjuvant immunotherapy is increasingly integrated into cancer care to reduce recurrence and improve survival. However, its high cost raises critical concerns regarding affordability and economic value across diverse health system contexts. Objective  To synthesize published economic evaluations of adjuvant immunotherapy and…

Childhood Cancer Survivorship Globally – A Systematic Review

Importance  As childhood cancer survival improves worldwide, supporting the growing survivor population, who are at increased risk of morbidity and mortality compared with the general population, is critical. No prior publications have summarized the landscape of childhood cancer survivorship research globally…

Emerging EGFR-Targeted Therapy in Head and Neck Cancer – A Review

Importance  Head and neck squamous cell carcinoma (HNSCC) represents a significant global health burden with limited therapeutic options for patients with recurrent or metastatic disease. Epidermal growth factor receptor (EGFR) is overexpressed in most patients with HNSCC and represents a biologically…