Large language models (LLMs) can be trained to understand how each patient’s somatic mutations impact their cancer prognosis and possible response to therapy, according to a presentation at the AACR Special Conference in Cancer Research: Artificial Intelligence and Machine Learning.
In a 4-year follow-up of the Chinese phase III GEMSTONE-302 trial reported in The Lancet Oncology, Zhou et al examined the survival benefit of adding the PD-L1 inhibitor sugemalimab to first-line platinum-based chemotherapy in patients with metastatic non–small cell lung cancer (NSCLC) with no known sensitizing EGFR, ALK, ROS1, or RET genomic alterations.
On July 2, the U.S. Food and Drug Administration (FDA) granted accelerated approval to linvoseltamab-gcpt (Lynozyfic), a bispecific B-cell maturation antigen (BCMA)-directed CD3 T-cell engager, for adults with relapsed or refractory multiple myeloma who have received at least four prior lines of therapy, including a proteasome inhibitor (PI), an immunomodulatory agent (IMiD), and an anti-CD38 monoclonal antibody.
As reported in The Lancet by Fizazi et al, the final overall survival analysis in the homologous recombination repair (HRR)-deficient metastatic castration-resistant prostate cancer (CRPC) cohort of the phase III TALAPRO-2 trial showed a significant benefit with the addition of talazoparib to enzalutamide.
A U.S. Food and Drug Administration (FDA)–cleared artificial intelligence (AI) algorithm was able to detect and correctly localize almost one-third of interval breast cancers in a retrospective evaluation of screening digital breast tomosynthesis (DBT), findings published in Radiology showed. The study authors believe that AI could help further decrease the interval cancer rate.
I’ve been blessed to have remained healthy for most of my life. In fact, I can’t remember ever spending a night in the hospital until I was diagnosed with pancreatic cancer, at age 86, in the summer of 2024. And even then, the symptoms that drove me to seek care in the emergency room of my local...
Large language models (LLMs) can be trained to understand how each patient’s somatic mutations impact their cancer prognosis and possible response to therapy, according to a presentation at the AACR Special Conference in Cancer Research: Artificial Intelligence and Machine Learning. John-William...
In the phase III ASCENT-04/KEYNOTE-D19 trial, the combination of the TROP2-directed antibody-drug conjugate sacituzumab govitecan-hziy plus the PD-1 inhibitor pembrolizumab in previously untreated patients with PD-L1–positive advanced triple-negative breast cancer significantly reduced the risk of...
The risk of death does not appear to increase with the use of menopausal hormone therapy in women with early-onset, BRCA-mutated breast cancer who began hormone supplementation after diagnosis, based on preliminary data presented during the 2025 ASCO Annual Meeting.1 “Management of early surgical...
The ASCO Post is pleased to present Hematology Expert Review, an ongoing feature that quizzes readers on issues in hematology. In this installment, Syed Ali Abutalib, MD, and L. Jeffrey Medeiros, MD, explore the impact of the prognostic marker RUNX1::RUX1T1 fusion on the diagnosis and treatment of...
Higher ambient exposure to a type of inhalable, fine particulate matter was found to be associated with an increased risk of cancer-related death for patients who were diagnosed with non–small cell lung cancer (NSCLC) while living in California—a state where wildfires are becoming more prevalent,...
A U.S. Food and Drug Administration (FDA)–cleared artificial intelligence (AI) algorithm was able to detect and correctly localize almost one-third of interval breast cancers in a retrospective evaluation of screening digital breast tomosynthesis (DBT), findings published in Radiology showed. The...