PubMed Health⌕ Search

PubMed · 10461500

The case for radiosurgery.

Abstract

Brain metastases represent a significant health-care problem, with almost 200,000 patient in the Unite States annually suffering from symptomatic parenchymal lesions. Lung, breast, melanoma, renal, and gastrointestinal cancers contribute the majority of lesions that come to clinical attention. Although median survival once brain metastases are diagnosed is less than a year, timely therapy can restore neurological function and can often prevent further neurological complications of cancer for the duration of a patient's survival. Important prognostic features associated with improved survival include the absence of extracranial disease progression, young age, a high pretreatment neurological status, one to three versus more than three lesions, and a long interval from primary disease diagnosis to the development of brain metastases. The need to aggressively treat brain metastases effectively is becoming increasingly important, however, as advances in the treatment of systemic disease result in an increasing number of patients developing brain metastases in the setting of limited systemic disease. For many such patients, surgery provides the best therapy, but results are still not encouraging because even patients with the best prognostic indicators often die within 18 to 24 months. Until Superior treatment modalities are developed, the judicious use of available techniques for treatment of patients with limited systemic disease provides the best opportunities for palliation and extended survival. Perhaps the most significant development in the treatment of patients with brain metastases during the last decade is the increasing use of radiosurgery. For patients with a single lesion, local control and survival rates of radiosurgery compare well with those produced with surgical resection. Radiosurgery remains an important treatment modality and, when used promptly, can reverse neurological deficits, often for the remainder of a patients life. There is compelling evidence to suggest that aggressive local therapy (surgery or radiosurgery) for patients with a single brain metastasis produces superior survival and quality of life compared with treatment with whole brain radiotherapy alone. However, surgery should be restricted to the minority of patients for whom brain metastases represents the life-threatening site of their disease. For an asymptomatic or mildly symptomatic patient with a lesion smaller than 3 cm in diameter, radiosurgery is an excellent alternative to surgery. Although radiosurgery is a noninvasive procedure, the same selection criteria should be considered as for those patients undergoing surgical resection.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

E Alexander, J S Loeffler. 1999. The case for radiosurgery.. https://pubmed.ncbi.nlm.nih.gov/10461500/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

Leveraging single-cell and spatial omics for brain tumour insights to improve therapeutic strategies.

Single-cell and spatial omics (SPOs) technologies have advanced how healthcare physicians characterise brain tumours by enabling detailed understanding of their cellular architecture, functional states, and microenvironmental dynamics. These approaches provide high-resolution detection of tumour heterogeneity and allow precise analysis of the brain tumour microenvironment. Their application has also led to the discovery of novel biomarkers used for early brain tumour detection, prognosis, and improved tumour stratification. Furthermore, integrative multi-omic analyses have revealed new therapeutic targets, clarified mechanisms of drug resistance, and uncovered molecular pathways underpinning treatment failure. By bridging cellular-level insights with spatial context, SPOs hold significant promise for advancing personalised diagnostics, predicting therapeutic response, and guiding the development of targeted interventions for brain tumours. Despite these advances, several limitations constrain the full translational potential of SPOs, including high experimental costs, substantial computational demands, lack of standardised protocols, and challenges in data integration and reproducibility. Addressing these barriers through scalable bioinformatic pipelines, consensus experimental frameworks, and cost-effective platforms remains critical for broadening accessibility and enabling clinical adoption.

Brain Neoplasms↗

Identification of Critical Genes Related to Breast Cancer with Brain Metastasis Through Bioinformatics Analysis.

INTRODUCTION: Distant metastasis accounts for the majority of Breast Cancer (BC)-related mortality. The brain is one of the most common regions of metastasis. However, the underlying molecular mechanisms remain uncertain. METHODS: In this study, gene expression profiles were downloaded from the Gene Expression Omnibus (GEO) database. Datasets GSE100534 and GSE52604, containing 16 primary brain tumor samples and 38 breast cancer brain metastasis samples, were used to identify the Differentially Expressed Genes (DEGs). The Metascape database was used to analyze enriched Gene Ontology (GO) entries and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway entries in DEGs. The STRING database was then used to construct a Protein-Protein Interaction (PPI) network, and the Cytoscape platform was employed to visualize the network. Furthermore, the Kaplan-Meier curve was used to analyze the Relapse-Free Survival (RFS) among the hub genes. Finally, the iRegulon plugin was used to construct a regulatory network to find the transcription factors (TFs) that regulate the expression of the hub genes. RESULTS: A total of 344 DEGs, including 182 up-regulated and 162 down-regulated genes, were identified by using the limma package in R. A module with 18 nodes and 9 hub genes was selected from the PPI network by using the plugins MCODE and Cyto- Hubba, respectively. KEGG pathway analysis demonstrated that brain metastasis in BC was closely related to the oocyte cell cycle. The Kaplan-Meier curve showed that high expression of these 9 hub genes was associated with poor RFS in BC patients. TFs' analysis showed that E2F4, SIN3A, FOXM1, and TFDP1 interacted with these hub genes. DISCUSSION: This study revealed that Breast Cancer Brain Metastasis (BCBM) may have a promoting effect on the cell cycle of oocytes and affect the maturation and division of oocytes through the KEGG and GO analyses of 344 DEGs. The selected 9 hub genes (ASPM, BUB1, BUB1B, CCNA2, CCNB1, CDK1, NDC80, NCAPG, and TOP2A) and 4 transcription factors (E2F4, SIN3A, FOXM1, TFDP1) may play a critical role in brain metastasis of BC. CONCLUSION: The results of this study may aid in the early diagnosis and suggest potential targets for the treatment of BCBM.

Brain Neoplasms↗

Simultaneous targeting of peripheral and brain tumors with a therapeutic nanoparticle to disrupt metabolic adaptability at both sites.

Brain metastasis of advanced breast cancer often results in deleterious consequences. Metastases to the brain lead to significant challenges in treatment options, as the blood-brain barrier (BBB) prevents conventional therapy. Thus, we hypothesized that creation of a nanoparticle (NP) that distributes to both primary tumor site and across the BBB for secondary brain tumor can be extremely beneficial. Here, we report a simple targeting strategy to attack both the primary breast and secondary brain tumors utilizing a single NP platform. The nature of these mitochondrion-targeted, BBB-penetrating NPs allow for simultaneous targeting and drug delivery to the hyperpolarized mitochondrial membrane of the extracranial primary tumor site in addition to tumors at the brain. By utilizing a combination of such dual anatomical distributing NPs loaded with therapeutics, we demonstrate a proof-of-concept idea to combat the increased metabolic plasticity of brain metastases by lowering two major energy sources, oxidative phosphorylation (OXPHOS) and glycolysis. By utilizing complementary studies and genomic analyses, we demonstrate the utility of a chemotherapeutic prodrug to decrease OXPHOS and glycolysis by pairing with a NP loaded with pyruvate dehydrogenase kinase 1 inhibitor. Decreasing glycolysis aims to combat the metabolic flexibility of both primary and secondary tumors for therapeutic outcome. We also address the in vivo safety parameters by addressing peripheral neuropathy and neurobehavior outcomes. Our results also demonstrate that this combination therapeutic approach utilizes mitochondrial genome targeting strategy to overcome DNA repair-based chemoresistance mechanisms.

Brain Neoplasms↗