Although brain metastases occur in almost one-third of non-small cell lung cancer (NSCLC) patients, and immune checkpoint inhibitors (ICI) either as monotherapy or combined with chemotherapy are the new standard of care in the first line setting, most trials excluded patients with asymptomatic and/or untreated brain metastases. Brain metastases have a major clinical impact due to the worsening of the patient's prognosis and quality of life. Furthermore, the incidence of brain metastases is increasing in NSCLC patients, due to a longer survival and better imaging techniques. Therefore, brain metastases are increasingly becoming a research topic. Recent clinical data endorses ICI as a therapeutic strategy in this subpopulation of NSCLC patients, although the immune environment in brain metastases is more immune ignorant compared with the microenvironment in the primary tumour or in the extracranial metastases. In this review we summarize the current evidence of ICI strategy in NSCLC patients with brain metastases, including trial and real-life data. We also state that the different tumor microenvironment between brain metastases and primary tumor may explain the discordance on the response rate during treatment with ICI. Last, we focus on future directions, including the role and optimal sequence of cranial irradiation and ICI, prognostic scores, the best response assessment and new imaging techniques.
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http://dx.doi.org/10.21037/tlcr-20-343 | DOI Listing |
Neurosurgery
February 2025
Global Neurosciences Institute, Philadelphia , Pennsylvania , USA.
Background And Objectives: Despite growing interest in how patient frailty affects outcomes (eg, in neuro-oncology), its role after transsphenoidal surgery for Cushing disease (CD) remains unclear. We evaluated the effect of frailty on CD outcomes using the Registry of Adenomas of the Pituitary and Related Disorders (RAPID) data set from a collaboration of US academic pituitary centers.
Methods: Data on consecutive surgically treated patients with CD (2011-2023) were compiled using the 11-factor modified frailty index.
Radiol Phys Technol
January 2025
Department of Radiotherapy, Sri Shankara Cancer Hospital and Research Centre, 1st Cross, Shankarapuram, Basavanagui, Bengaluru, 560004, Karnataka, India.
This study evaluates the dosimetric impact of arc simulation angular resolution in VMAT-based Single Isocentre Multiple Target (SIMT) SRS, focusing on their dependence on target size, isocentre distance, number of arcs, and arc type. A phantom study analysed angular resolution (0.5°, 1°, 2°) effects on dosimetric accuracy for PTVs of 0.
View Article and Find Full Text PDFFunct Integr Genomics
January 2025
Department of Exercise Science and Health Promotion, Florida Atlantic University, Boca Raton, FL, USA.
Large-scale, pan-cancer analysis is enabled by data driven knowledge bases that link tumor molecular profiles with phenotypes. A debilitating cancer-related phenotype is skeletal muscle loss, or cachexia, which occurs partly from tumor products secreted into circulation. Using the LinkedOmicsKB knowledge base assembled from the Clinical Proteomics Tumor Analysis Consortium proteogenomic analysis, along with catalogs of human secretome proteins, ligand-receptor pairs and molecular signatures, we sought to identify candidate pan-cancer proteins secreted to blood that could regulate skeletal muscle phenotypes in multiple solid cancers.
View Article and Find Full Text PDFMed Oncol
January 2025
School of Biotechnology, Centurion University of Technology and Management, Jatni, Bhubaneswar, Odisha, 752050, India.
Gliomas are aggressive intracranial tumors of the central nervous system with a poor prognosis, high risk of recurrence, and low survival rates. Radiation, surgery, and chemotherapy are traditional cancer therapies. It is very challenging to accurately image and differentiate the malignancy grade of gliomas due to their heterogeneous and infiltrating nature and the obstruction of the blood-brain barrier.
View Article and Find Full Text PDFNeuromolecular Med
January 2025
Department of Genetic Engineering & Biotechnology, University of Dhaka, Dhaka, Bangladesh.
Interleukin 6 (IL6) is an inflammatory biomarker linked to central and peripheral nervous system diseases. This study combined bioinformatics and statistical meta-analysis to explore potential associations between IL6 gene variants (rs1800795, rs1800796, and rs1800797) and neurological disorders (NDs) and brain cancer. The meta-analysis was conducted on substantial case-control datasets and revealed a significant correlation between IL6 SNPs (rs1800795 and rs1800796) with overall NDs (p-value < 0.
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