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Expert consensus on PD-L1 expression testing in esophageal carcinoma in China / 中华肿瘤杂志
Chinese Journal of Oncology ; (12): 291-297, 2023.
Article in Chinese | WPRIM | ID: wpr-984722
ABSTRACT
In recent years, immunotherapy represented by immune checkpoint inhibitors programmed death 1 (PD-1) has made great progress in the treatment of esophageal cancer and is rewriting the global paradigm for the treatment of esophageal cancer. According to current data, only a small number of patients with esophageal cancer could benefit from immunotherapy. Therefore, it is a challenge to screen the potential beneficiaries of PD-1 inhibitors. Studies have shown that the expression level of programmed death-ligand 1 (PD-L1) in esophageal cancer is closely associated with the efficacy of PD-1 inhibitors, and PD-L1 is the most important predictive biomarker of the efficacy of PD-1 inhibitors. With the clinical application of different PD-1 inhibitors and PD-L1 protein expression detection platforms, clarifying the clinical significance and timing of detection of PD-L1 protein expression in esophageal cancer, and establishing a standardized PD-L1 testing procedure, are of great significance to improve the accuracy of detection and reduce the difference between laboratories, so as to maximize the therapeutic benefits for patients. This consensus was finally reached, based on the combination of literature, expert experience, and internal discussion and voting of committee members, to provide an accurate and reliable evidence for clinicians to make decisions.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Esophageal Neoplasms / Consensus / B7-H1 Antigen / Immune Checkpoint Inhibitors / Immunotherapy / Lung Neoplasms Limits: Humans Language: Chinese Journal: Chinese Journal of Oncology Year: 2023 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Esophageal Neoplasms / Consensus / B7-H1 Antigen / Immune Checkpoint Inhibitors / Immunotherapy / Lung Neoplasms Limits: Humans Language: Chinese Journal: Chinese Journal of Oncology Year: 2023 Type: Article