Nearly 40% of the advanced cancer patients will present brain metastases during the course of their disease, with a 2-year life expectancy of less than 10%. Immune system impairment, including the modulation of both STAT3 and PD-L1, is one of the hallmarks of brain metastases. Liquid biopsy could offer several advantages in brain metastases management, such as the possibility of noninvasive dynamic monitoring. Extracellular vesicles (EVs) have been recently proposed as novel biomarkers especially useful in liquid biopsy due to their secretion in biofluids and their role in cell communication during tumor progression. The main aim of this work was to characterize the size and protein cargo of plasma circulating EVs in patients with solid tumors and their correlation with newly diagnosed brain metastases, in addition to their association with other relevant clinical variables. We analyzed circulating EVs in the plasma of 123 patients: 42 patients with brain metastases, 50 without brain metastases and 31 healthy controls. Patients with newly diagnosed brain metastases had a lower number of circulating EVs in the plasma and a higher protein concentration in small EVs (sEVs) compared to patients without brain metastases and healthy controls. Interestingly, melanoma patients with brain metastases presented decreased STAT3 activation and increased PD-L1 levels in circulating sEVs compared to patients without central nervous system metastases. Decreased STAT3 activation and increased PD-L1 in plasma circulating sEVs identify melanoma patients with brain metastasis.
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http://dx.doi.org/10.1080/2162402X.2022.2067944 | DOI Listing |
J Clin Oncol
January 2025
Melanoma Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, TX.
Purpose: In CheckMate 204, nivolumab + ipilimumab showed high intracranial (IC) objective response rates (icORRs) in patients with melanoma brain metastases (MBMs). Using icORR as a surrogate for overall survival (OS) has prompted use of alternate response criteria. To set the stage for harmonized MBM trials, the aim of this exploratory analysis was to determine icORR using several response criteria and examine correlations of response with survival.
View Article and Find Full Text PDFPLoS One
January 2025
Departments of Global Pediatric Medicine and Oncology, St. Jude Children's Research Hospital, Memphis, TN, United States of America.
Background: The SEER Registry contains U.S. cancer statistics.
View Article and Find Full Text PDFCurr Treat Options Oncol
January 2025
Ella Lemelbaum Institute for Immuno Oncology, Chaim Sheba Medical Center, 6997801, Tel Aviv, Israel.
Clinical management of melanoma brain metastases is complex and requires multidisciplinary approach. With close collaboration between neurosurgeons, radiation oncologists and medical oncologists, melanoma patients with brain are offered different treatment modalities: surgery, radiation therapy, systemic therapy or combined treatments. Radiation therapy (whole brain radiotherapy- WBRT and stereotactic radiosurgery- SRS) is an integral part of treating melanoma brain metastases.
View Article and Find Full Text PDFActa Neurochir (Wien)
January 2025
Department of Neurosurgery, University Hospital Eppendorf, Hamburg, Germany.
In recent years, it has been increasingly recognized that tumor growth relies not only on support from the surrounding microenvironment but also on the tumors capacity to adapt to - and actively manipulate - its niche. While targeting angiogenesis and modulating the local immune environment have been explored as therapeutic approaches, these strategies have yet to yield effective treatments for brain tumors and remain under refinement. More recently, the nervous system itself has been explored as a critical environmental support for cancer, with extensive neuro-tumoral interactions observed both intracranially and in extracranial sites containing neural components.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Department of Neurosurgery, West China Hospital, Sichuan University, Chengdu, China.
Glioma is characterized by high heterogeneity and poor prognosis. Attempts have been made to understand its diversity in both genetic expressions and radiomic characteristics, while few integrated the two omics in predicting survival of glioma. This study was intended to investigate the connection between glioma imaging and genome, and examine its predictive value in glioma mortality risk and tumor immune microenvironment (TIME).
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