To evaluate the prognostic factors and indexes of a series of 93 patients with breast cancer and brain metastases (BM) in a single institution. Treatment outcomes were evaluated according to the major prognostic indexes (RPA, BSBM, GPA scores) and breast cancer subtypes. Independent prognostic factors for overall survival (OS) were identified. The median OS values according to GPA 0-1, 1.5-2, 2.5-3 and 3.5-4, were 4.5, 9.5, 14.2 and 19.1 months, respectively (p < 0.0001) and according to genetic subtypes, they were 5, 14.2, 16.5 and 17.1 months for basal-like, luminal A and B and HER, respectively (p = 0.04). Using multivariate analysis, we established a new grading system using the six factors that were identified as indicators of longer survival: age under 60 (p = 0.001), high KPS (p = 0.007), primary tumor control (p = 0.05), low number of extracranial metastases and BM (p = 0.01 and 0.0002, respectively) and triple negative subtype (p = 0.002). Three groups with significantly different median survival times were identified: 4.1, 9.5 and 26.3 months, respectively (p < 0.0001). Our new grading system shows that prognostic indexes could be improved by using more levels of classification and confirms the strength of biological prognostic factors.
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http://dx.doi.org/10.3390/ijms131216489 | DOI Listing |
Clin Exp Med
January 2025
Department of Clinical Oncology, Maria Sklodowska-Curie National Research Institute of Oncology, Krakow Branch, Poland.
Immune checkpoint inhibitors have improved the treatment of metastatic renal cell carcinoma (RCC), with the combination of nivolumab (NIVO) and ipilimumab (IPI) showing promising results. However, not all patients benefit from these therapies, emphasizing the need for reliable, easily assessable biomarkers. This multicenter study involved 116 advanced RCC patients treated with NIVO + IPI across nine oncology centers in Poland.
View Article and Find Full Text PDFHeart failure with preserved ejection fraction (HFpEF) and atrial fibrillation (AF) are increasingly prevalent cardiovascular conditions, particularly among the elderly population. These two conditions share common risk factors and often coexist, leading to a complex interplay that alters the clinical course of each other. The pathophysiology of HFpEF is multifaceted and intricately linked, with atrial disease serving as a common pathophysiological pathway.
View Article and Find Full Text PDFNeurosurg Rev
January 2025
Department of Neurosurgery, Mount Sinai Hospital, Icahn School of Medicine, New York City, NY, USA.
Currently, the World Health Organization (WHO) grade of meningiomas is determined based on the biopsy results. Therefore, accurate non-invasive preoperative grading could significantly improve treatment planning and patient outcomes. Considering recent advances in machine learning (ML) and deep learning (DL), this meta-analysis aimed to evaluate the performance of these models in predicting the WHO meningioma grade using imaging data.
View Article and Find Full Text PDFBiomed Microdevices
January 2025
Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, 25 Taiping Street, Luzhou, 646000, Sichuan, People's Republic of China.
Globally, breast cancer is the most frequent type of cancer, and its early diagnosis and screening can significantly improve the probability of survival and quality of life of those affected. Liquid biopsy-based targets such as circulating tumor cells, circulating tumor DNA, and exosomes have been instrumental in the early discovery of cancer, and have been found to be effective in stage therapy, recurrence monitoring, and drug selection. Biosensors based on these target related biomarkers convert the tested substances into quantifiable signals such as electrical and optical signals through signal transduction, which has the advantages of high sensitivity, simple operation, and low invasiveness.
View Article and Find Full Text PDFFunct Integr Genomics
January 2025
Department of Oncology, the First People's Hospital of Qujing City/the Qujing Affiliated Hospital of Kunming Medical University, 1 Yuanlin Road, Qujing, Yunnan, China.
Background: T cells are involved in every stage of tumor development and significantly influence the tumor microenvironment (TME). Our objective was to assess T-cell marker gene expression profiles, develop a predictive risk model for human papilloma virus (HPV)-negative oral squamous cell carcinoma (OSCC) utilizing these genes, and examine the correlation between the risk score and the immunotherapy response.
Methods: We acquired scRNA-seq data for HPV-negative OSCC from the GEO datasets.
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