Background: The purpose of this retrospective study was to analyze the overall survival of patients with brain metastases due to breast cancer and to identify prognostic factors that affect clinical outcome.
Methods: Of the 7,872 breast cancer patients histologically diagnosed with breast cancer between January 1990 and July 2006 at the Asan Medical Center, 198 patients with solitary or multiple brain metastases were included in this retrospective study. Central nervous system (CNS) lesions were diagnosed by computed tomography (CT) or magnetic resonance imaging (MRI). Patients with leptomeningeal or dural metastases without co-existent parenchymal metastatic lesions were excluded in this study. We reviewed the medical records and pathologic data of these 198 patients to characterize the clinical features and outcomes.
Results: The median age of the patients at the diagnosis of brain metastases was 45 years (range 26-78 years). Fifty-five patients (28%) had a single brain metastasis, whereas 143 (72%) had more than two metastases. A total of 157 (79.2%) patients received whole-brain radiation therapy (WBRT). A total of 7 (3.6%) patients underwent resection of solitary brain metastases, 22 (11%) patients underwent gamma-knife surgery, three patients underwent intrathecal chemotherapy (1.5%) and 9 (4.6%) patients received no treatment. The overall median survival time was 5.6 months (95% confidence interval (CI), 4.7-6.5 months) and 23.1% of the patients survived for more than 1 year. The median overall survival time was 5.4 months for patients treated with WBRT, 14.9 months for patients treated with surgery or gamma-knife surgery only, and 2.1 months for patients who received no treatment (P < 0.001). Multivariate analysis demonstrated that Eastern Cooperative Oncology Group (ECOG) performance status (relative risk (RR) = 0.704, 95% CI 0.482-1.028, P = 0.069), number of brain metastases (RR = 0.682, 95% CI 0.459-1.014, P = 0.058), treatment modalities (RR = 1.686, 95% CI 1.022-2.781, P = 0.041), and systemic chemotherapy after brain metastases (RR = 1.871, 95% CI 1.353-2.586, P < 0.001) were independent factors associated with survival.
Conclusion: Although survival of breast cancer patients with brain metastases was generally short, the performance status, number of brain metastases, treatment modalities and systemic chemotherapy after brain metastases were significantly associated with survival. Patients with single-brain metastasis and good performance status deserve aggressive treatment. The characteristics of initial primary breast lesions did not affect survival after brain metastasis.
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Sci Adv
January 2025
Molecular Pharmacology Program, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA.
A major limiting factor in the success of chimeric antigen receptor (CAR) T cell therapy for the treatment of solid tumors is targeting tumor antigens also found on normal tissues. CAR T cells against GD2 induced rapid, fatal neurotoxicity because of CAR recognition of GD2 normal mouse brain tissue. To improve the selectivity of the CAR T cell, we engineered a synthetic Notch receptor that selectively expresses the CAR upon binding to P-selectin, a cell adhesion protein overexpressed in tumor neovasculature.
View Article and Find Full Text PDFCancer J
January 2025
Department of Radiation Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, FL.
There is major interest in deintensifying therapy for isocitrate dehydrogenase-mutant low-grade gliomas, including with single-agent cytostatic isocitrate dehydrogenase inhibitors. These efforts need head-to-head comparisons with proven modalities, such as chemoradiotherapy. Ongoing clinical trials now group tumors by intrinsic molecular subtype, rather than classic clinical risk factors.
View Article and Find Full Text PDFCancer J
January 2025
From the Division of Neuro-Oncology, Department of Neurology and the Herbert Irving Comprehensive Cancer Center, Columbia University Vagelos College of Physicians & Surgeons and NewYork-Presbyterian, New York, NY.
The term "low-grade glioma" historically refers to adult diffuse gliomas that exhibit a less aggressive course than the more common high-grade gliomas. In the current molecular era, "low-grade" refers to World Health Organization central nervous system grade 2 gliomas almost always with an isocitrate dehydrogenase (IDH) mutation (astrocytomas and oligodendrogliomas). The term "lower-grade gliomas" has emerged encompassing grades 2 and 3 IDH-mutant astrocytomas and oligodendrogliomas, to acknowledge that histological grade is not as important a prognostic factor as molecular features, and distinguishing them from grade 4 glioblastomas, which lack an IDH mutation.
View Article and Find Full Text PDFCancer J
January 2025
From the Department of Radiation Oncology, Ohio State University Comprehensive Cancer Center, Columbus, OH.
There has been a significant paradigm shift in the clinical management of lower-grade glioma patients given the recent updates to the 2021 World Health Organization classification along with long-term results from randomized phase III clinical trials. As a result, we are now better able to diagnose and assign patients to the most appropriate treatment course. This review provides a comprehensive summary of the most robust and reliable molecular biomarkers for adult lower-grade gliomas and discusses current challenges facing this patient population that future correlative biology studies combined with advancements in technologies could help overcome.
View Article and Find Full Text PDFNeuroinformatics
January 2025
Department of Information Technology, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, 600089, India.
Brain tumours are one of the most deadly and noticeable types of cancer, affecting both children and adults. One of the major drawbacks in brain tumour identification is the late diagnosis and high cost of brain tumour-detecting devices. Most existing approaches use ML algorithms to address problems, but they have drawbacks such as low accuracy, high loss, and high computing cost.
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