Profiling of immune features to predict immunotherapy efficacy

Youqiong Ye; Yongchang Zhang; Nong Yang; Qian Gao; Xinyu Ding; Xinwei Kuang; Rujuan Bao; Zhao Zhang; Chaoyang Sun; Bingying Zhou; Li Wang; Qingsong Hu; Chunru Lin; Jianjun Gao; Yanyan Lou; Steven H. Lin; Lixia Diao; Hong Liu; Xiang Chen

Profiling of immune features to predict immunotherapy efficacy

ARTICLE Open Access

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Youqiong Ye,
Yongchang Zhang,
Nong Yang,
Qian Gao,
Xinyu Ding,
Xinwei Kuang,
Rujuan Bao,
Zhao Zhang,
Chaoyang Sun,
Bingying Zhou,
Li Wang,
Qingsong Hu,
Chunru Lin,
Jianjun Gao,
Yanyan Lou,
Steven H. Lin,
Lixia Diao,
Hong Liu,
Xiang Chen

Graphical abstract

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.

DOI:
https://doi.org/10.1016/j.xinn.2021.100194

Citation:
Ye Y., Zhang Y., Yang N., et al. (2021). Profiling of immune features to predict immunotherapy efficacy. The Innovation. 3(1),100194.