Profiling of immune features to predict immunotherapy efficacy
| Autor: | Chunru Lin, Zhao Zhang, Youqiong Ye, Chaoyang Sun, Hong Liu, Rujuan Bao, Gordon B. Mills, Li Wang, Nong Yang, Jianjun Gao, Yongchang Zhang, Lixia Diao, Leng Han, Steven H. Lin, Qingsong Hu, Xinwei Kuang, Xiang Chen, Xinyu Ding, Bingying Zhou, Qian Gao, Yanyan Lou |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Science (General)
medicine.medical_treatment animal diseases Cell chemical and pharmacologic phenomena Article Q1-390 Immune system Cancer immunotherapy medicine noninvasive biomarker Multidisciplinary cancer immunotherapy business.industry immune cell population Interleukin Immunotherapy biochemical phenomena metabolism and nutrition immune checkpoints Immune checkpoint immune activation score Biomarker (cell) Blockade medicine.anatomical_structure Immunology bacteria business |
| Zdroj: | The Innovation, Vol 3, Iss 1, Pp 100194-(2022) The Innovation |
| ISSN: | 2666-6758 |
| Popis: | Immune checkpoint blockade (ICB) therapies exhibit substantial clinical benefit in different cancers, but relatively low response rates in the majority of patients highlight the need to understand mutual relationships among immune features. Here, we reveal overall positive correlations among immune checkpoints and immune cell populations. Clinically, patients benefiting from ICB exhibited increases for both immune stimulatory and inhibitory features after initiation of therapy, suggesting that the activation of the immune microenvironment might serve as the biomarker to predict immune response. As proof-of-concept, we demonstrated that the immune activation score (ISΔ) based on dynamic alteration of interleukins in patient plasma as early as two cycles (4–6 weeks) after starting immunotherapy can accurately predict immunotherapy efficacy. Our results reveal a systematic landscape of associations among immune features and provide a noninvasive, cost-effective, and time-efficient approach based on dynamic profiling of pre- and on-treatment plasma to predict immunotherapy efficacy. Graphical abstract Public summary • Reveal a systematic landscape of associations among immune features in primary, metastatic, and ICB-treated tumors • The activation of the immune microenvironment might serve as the biomarker of immunotherapy • Dynamic alteration of interleukins in patient plasma can accurately predict immunotherapy efficacy • Provide a noninvasive, cost-effective, and time-efficient approach to predict immunotherapy efficacy |
| Databáze: | OpenAIRE |
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