Bone cancer is a demanding challenge for contemporary medicine due to its high frequency of presentation and significant heterogeneity of malignant lesions developing within the bone. To date, available treatments are rarely curative and are primarily aimed at prolonging patients' survival and ameliorating their quality of life. Furthermore, both pharmacological and surgical therapies are aggravated by a consistent burden of adverse events and subsequent disability due to the loss of healthy bone structural and functional properties. Therefore, great research efforts are being made to develop innovative biomaterials able to selectively inhibit bone cancer progression while reducing the loss of bone structural properties secondary to local tissue invasion. In this review, we describe the state of the art of innovative biomaterials for the treatment of bone cancer. Along with physiological bone remodeling, the development of bone metastasis and osteosarcoma will be depicted. Subsequently, recent advances on nanocarrier-based drug delivery systems, as well as the application of novel, multifunctional biomaterials for the treatment of bone cancer will be discussed. Eventually, actual limitations and promising future perspectives regarding the employment of such approaches in the clinical scenario will be debated.
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http://dx.doi.org/10.3390/ijms22158214 | DOI Listing |
Arch Orthop Trauma Surg
January 2025
Department of Orthopaedics and Trauma, Medical University of Graz, Auenbruggerplatz 5, 8036, Graz, Austria.
Introduction: Liquid biopsy as a non-invasive method to investigate cancer biology and monitor residual disease has gained significance in clinical practice over the years. Whilst its applicability in carcinomas is well established, the low incidence and heterogeneity of bone and soft tissue sarcomas explains the less well-established knowledge considering liquid biopsy in these highly malignant mesenchymal neoplasms.
Materials And Methods: A systematic literature review adhering to the PRISMA guidelines initially identified 920 studies, of whom 68 original articles could be finally included, all dealing with clinical applicability of liquid biopsy in sarcoma.
Nucleosides Nucleotides Nucleic Acids
January 2025
Division of Hematology, Department of Internal Medicine, Medical Faculty, Tekirdağ Namık Kemal University, Tekirdağ, Turkey.
Breast cancer is the most common malignancy that affects women. MicroRNAs (miRNAs) play an essential role in cancer therapy and regulate many biological processes such as cisplatin resistance. The study's objective was to determine whether miR-182 dysregulation was the cause of cisplatin resistance in TNBC cell line MDA-MB-231.
View Article and Find Full Text PDFCancer Rep (Hoboken)
January 2025
Hospital de la Santa Creu i Sant Pau, Barcelona, Spain.
Background: Denosumab represents a valuable treatment option for unresectable giant cell tumors of the bone (GCTBs). However, no standardized protocols exist determining the length of administration, with few studies having been published on patients who reached the end of treatment.
Aims: To analyze the outcomes of patients diagnosed with GCTB and who had finished single treatment with denosumab.
J Clin Med
December 2024
Department of Medical Oncology, Ankara Bilkent City Hospital, Ankara 06800, Turkey.
: Although CDK4/6 inhibitors combined with endocrine therapies have improved outcomes in HR+ HER2-negative metastatic breast cancer, predictive biomarkers for treatment response and adverse effects remain limited. This study assessed the prognostic and predictive value of large unstained cells (LUC), a subset of white blood cells that may reflect immune status or treatment response. : A retrospective analysis of 210 patients with HR+ HER2-negative metastatic breast cancer treated with CDK 4/6 inhibitors between 2021 and 2024 was conducted.
View Article and Find Full Text PDFSensors (Basel)
December 2024
Master's Program in Information and Computer Science, Doshisha University, Kyoto 610-0394, Japan.
The semantic segmentation of bone structures demands pixel-level classification accuracy to create reliable bone models for diagnosis. While Convolutional Neural Networks (CNNs) are commonly used for segmentation, they often struggle with complex shapes due to their focus on texture features and limited ability to incorporate positional information. As orthopedic surgery increasingly requires precise automatic diagnosis, we explored SegFormer, an enhanced Vision Transformer model that better handles spatial awareness in segmentation tasks.
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