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Asiatic acid in anticancer effects: emerging roles and mechanisms.
Front Pharmacol
February 2025
College of Traditional Chinese Medicine, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
Medicinal plants are crucial in the comprehensive treatment of anti-tumor with the advantages of high efficacy, low toxicity, multiple pathways and multi-targets synergy, leading to be a focal point of study for many oncologists. Identifying effective monomer components with anti-tumor properties from medicinal plants has long been a crucial focus in the study and development of traditional Chinese medicine. This endeavor has significant research value and promising possibilities for further advancement.
View Article and Find Full Text PDFUsability, Acceptability, and Barriers to Implementation of a Collaborative Agenda-Setting Intervention (CASI) to Promote Person-Centered Ovarian Cancer Care: Development Study.
JMIR Cancer
March 2025
Department of Medical Oncology, Dana-Farber Cancer Institute, 450 Brookline Avenue, BP1143, Boston, MA, 02215, United States, 1 8572150743, 1 6175828550.
Background: People with advanced ovarian cancer and their caregivers report unmet supportive care needs. We developed a Collaborative Agenda-Setting Intervention (CASI) to elicit patients' and caregivers' needs through the patient portal before a clinic visit and to communicate these needs to clinicians using the electronic health record.
Objective: We aimed to assess the usability and acceptability of the CASI and identify barriers to and facilitators of its implementation.
Efficacy of atezolizumab combined with platinum and etoposide in the treatment of extrapulmonary neuroendocrine carcinoma.
Oncologist
March 2025
Department of Oncology, Taipei Veterans General Hospital, Taipei 11217, Taiwan.
Background: Neuroendocrine carcinoma (NEC) is an aggressive, poorly differentiated Grade 3 (G3) tumor with high nuclear and cellular atypia and Ki-67 indices over 20%. While most cases are lung NECs, extrapulmonary NECs are rarer and less studied. Standard treatment involves etoposide and platinum (EP) chemotherapy.
View Article and Find Full Text PDF"Incidentally" discovered Von Hippel Lindau disease: an emerging clinical phenotype.
Oncologist
March 2025
Division of Hematology-Oncology, Department of Medicine, Massachusetts General Hospital, Boston, MA 02114, United States.
Increasing accessibility to genetic screening for cancer risk can lead to earlier surveillance and prevention, but with this comes the caveat of incidental identification of germline pathogenic gene variants. Here, we report a single institution case series of 6 otherwise healthy individuals with "incidental" Von Hippel Lindau (VHL) disease. These patients were found to have pathogenic germline variants in the VHL gene, after undergoing genetic testing for other purposes (5 for familial breast cancer risk and 1 to determine ancestry) but no VHL disease-associated tumors.
View Article and Find Full Text PDFIncorporating radiomic MRI models for presurgical response assessment in patients with early breast cancer undergoing neoadjuvant systemic therapy: collaborative insights from breast oncologists and radiologists.
Crit Rev Oncol Hematol
March 2025
IRCCS Humanitas Research Hospital, Via Manzoni 56, 20089 Rozzano - Milan, Italy; Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20090 Pieve Emanuele (Milan), Italy.
The assessment of neoadjuvant treatment's response is critical for selecting the most suitable therapeutic options for patients with breast cancer to reduce the need for invasive local therapies. Breast magnetic resonance imaging (MRI) is so far one of the most accurate approaches for assessing pathological complete response, although this is limited by the qualitative and subjective nature of radiologists' assessment, often making it insufficient for deciding whether to forgo additional locoregional therapy measures. To increase the accuracy and prediction of radiomic MRI with the aid of machine learning models and deep learning methods, as part of artificial intelligence, have been used to analyse the different subtypes of breast cancer and the specific changes observed before and after therapy.
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