IJMS, Free Full-Text
Por um escritor misterioso
Last updated 04 setembro 2024
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Lung cancer has the highest mortality rate among all cancer types, resulting in over 1.8 million deaths annually. Immunotherapy utilizing immune checkpoint inhibitors (ICIs) has revolutionized the treatment of non-small cell lung cancer (NSCLC). ICIs, predominantly monoclonal antibodies, modulate co-stimulatory and co-inhibitory signals crucial for maintaining immune tolerance. Despite significant therapeutic advancements in NSCLC, patients still face challenges such as disease progression, recurrence, and high mortality rates. Therefore, there is a need for predictive biomarkers that can guide lung cancer treatment strategies. Currently, programmed death-ligand 1 (PD-L1) expression is the only established biomarker for predicting ICI response. However, its accuracy and robustness are not consistently reliable. This review provides an overview of potential biomarkers currently under development or in the validation stage that hold promise in improving the classification of responders and non-responders to ICI therapy in the near future.
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IJMS Free Full-Text Research Advances In Mechanical, 52% OFF
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IJMS Free Full Text A High Molecular Mass 26650
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Ijms Free Full Text Preliminary Rna Seq Analysis Of Long Non
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IJMS, Free Full-Text
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IJMS, Free Full-Text
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IJMS, Free Full-Text
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IJMS Free Full-Text Research Advances In Mechanical, 52% OFF
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IJMS, Free Full-Text
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IJMS, Free Full-Text
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IJMS, Free Full-Text
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IJMS, Free Full-Text
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IJMS, Free Full-Text
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