Year: 2025
Type: article
Abstract: The emergence of immune checkpoint inhibition, particularly targeting the PD-1/PD-L1 axis, has revolutionized cancer treatment paradigms. Recent advances in immunotherapy have demonstrated remarkable clinical outcomes across various malignancies, leading to sustained remissions and improved survival rates. The PD-1/PD-L1 blockade serves as a cornerstone in modern immunotherapy, augmented by the identification of novel immune checkpoint molecules and their regulatory mechanisms. Concurrent developments in cellular therapies, notably CAR-T cells, have shown exceptional promise in hematological malignancies and are being adapted for solid tumors. Bispecific antibodies represent another innovative approach, bridging immune effector cells with cancer targets to enhance therapeutic efficacy. Cancer vaccines have evolved from conventional approaches to personalized neoantigen-based strategies, potentially offering tailored immune responses against tumor-specific antigens. The field has witnessed significant progress in combination strategies, integrating checkpoint inhibitors with conventional treatments, targeted therapies, and other immunotherapeutic modalities. Biomarker development has become crucial for patient stratification and response prediction, incorporating genomic signatures, immune profiling, and novel imaging techniques. The landscape of cancer immunotherapy continues to expand, with emerging technologies and therapeutic combinations showing potential for improved clinical outcomes. The use of artificial intelligence and machine learning approaches may further optimize patient selection and treatment strategies, potentially leading to more personalized and effective immunotherapy protocols
DOI: 10.69613/zveq1612
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4408829495