AiomNews Speciale Tumore del Seno e Biopsia Liquida N. 22

Epigenetic and fragment-based profiling across CDK4/6 inhibitors in first-line HR+/HER2- metastatic breast cancer. An ancillary analysis of the MAGNETIC.1 study

Background: CDK4/6 inhibitors (CDK4/6i) in combination with endocrine therapy (ET) represent the standard of care for hormone receptor-positive, HER2-negative (HR+/HER2-) metastatic breast cancer (MBC) patients. However, no head-to-head randomized trials have directly compared palbociclib, ribociclib, and abemaciclib. Moreover, predictive biomarkers of resistance to CDK4/6i remain largely undefined. This study aimed to evaluate circulating tumor DNA … Continua a leggere

Pharmacodynamics of Camizestrant Treatment in Postmenopausal Women With Estrogen Receptor-Positive, Human Epidermal Growth Factor Receptor 2-Negative Primary Breast Cancer: Results From the Randomized, Presurgical SERENA-3 Study

Purpose: SERENA-3 is a presurgical window-of-opportunity (WOO) trial exploring the pharmacodynamic effects of camizestrant in postmenopausal women with newly diagnosed estrogen receptor (ER)-positive, human epidermal growth factor receptor 2-negative breast cancer.
Methods: This open-label, parallel-group trial randomly assigned 132 participants to receive camizestrant 75, 150, or 300 mg once daily for 5-7 days or 75 or 150 mg once daily for 12-15 days … Continua a leggere

Background: Activating mutations in ESR1 gene are a known mechanism of endocrine resistance. We analyzed ESR1 mutations in cell-free DNA (cfDNA) from serially collected blood from hormone receptor-positive, human epidermal growth factor receptor 2-negative metastatic breast cancer patients to investigate their impact on outcomes.
Methods: A total of 268 cfDNA samples serially collected from 25 patients who underwent palliative endocrine therapy were examined … Continua a leggere

Interval cancer, sensitivity, and specificity comparing AI-supported mammography screening with standard double reading without AI in the MASAI study: a randomised, controlled, non-inferiority, single-blinded, population-based, screening-accuracy trial

Background: Evidence indicates that artificial intelligence (AI) can improve mammography screening by increasing cancer detection and reducing screen reading workload, but its effect on interval cancers (primary breast cancers diagnosed between two screening rounds or within 2 years after the last scheduled screening that were not detected at screening) is unknown. We aimed to compare the interval cancer rate in AI-supported mammography screening with standard double reading without AI … Continua a leggere