Punekar Salman R, Shum Elaine, Grello Cassandra Mia, Lau Sally C, Velcheti Vamsidhar
Perlmutter Cancer Center, New York University (NYU) Langone Health, New York, NY, United States.
Front Oncol. 2022 Aug 2;12:877594. doi: 10.3389/fonc.2022.877594. eCollection 2022.
Many decades in the making, immunotherapy has demonstrated its ability to produce durable responses in several cancer types. In the last decade, immunotherapy has shown itself to be a viable therapeutic approach for non-small cell lung cancer (NSCLC). Several clinical trials have established the efficacy of immune checkpoint blockade (ICB), particularly in the form of anti-programmed death 1 (PD-1) antibodies, anti-cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) antibodies and anti-programmed death 1 ligand (PD-L1) antibodies. Many trials have shown progression free survival (PFS) and overall survival (OS) benefit with either ICB alone or in combination with chemotherapy when compared to chemotherapy alone. The identification of biomarkers to predict response to immunotherapy continues to be evaluated. The future of immunotherapy in lung cancer continues to hold promise with the development of combination therapies, cytokine modulating therapies and cellular therapies. Lastly, we expect that innovative advances in technology, such as artificial intelligence (AI) and machine learning, will begin to play a role in the future care of patients with lung cancer.
免疫疗法历经数十年发展,已证明其在多种癌症类型中产生持久反应的能力。在过去十年中,免疫疗法已成为非小细胞肺癌(NSCLC)的一种可行治疗方法。多项临床试验证实了免疫检查点阻断(ICB)的疗效,特别是抗程序性死亡1(PD-1)抗体、抗细胞毒性T淋巴细胞相关蛋白4(CTLA-4)抗体和抗程序性死亡1配体(PD-L1)抗体形式。许多试验表明,与单纯化疗相比,单独使用ICB或与化疗联合使用均可使无进展生存期(PFS)和总生存期(OS)受益。预测免疫疗法反应的生物标志物的鉴定仍在持续评估中。随着联合疗法、细胞因子调节疗法和细胞疗法的发展,肺癌免疫疗法的未来仍充满希望。最后,我们预计人工智能(AI)和机器学习等技术创新进展将开始在肺癌患者的未来护理中发挥作用。