PD-L1 methylation restricts PD-L1/PD-1 interactions to control cancer immune surveillance

  • Sci Adv. 2023 May 26;9(21):eade4186. doi: 10.1126/sciadv.ade4186.
Changsheng Huang  1 Shengxiang Ren  2 Yaqi Chen  1 Anyi Liu  1 Qi Wu  1 Tao Jiang  2 Panjing Lv  3 Da Song  1 Fuqing Hu  1 Jingqing Lan  1 Li Sun  4 Xue Zheng  5 Xuelai Luo  1 Qian Chu  4 Keyi Jia  2 Yan Li  3 Jun Wang  6 Caicun Zou  2 Junbo Hu  1 Guihua Wang  1
Affiliations
  • 1. GI Cancer Research Institute, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • 2. Department of Medical Oncology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai 200433, China.
  • 3. Department of Pathogen Biology, School of Basic Medicine, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • 4. Department of Oncology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
  • 5. Wuhan Blood Center, Wuhan 430030, China.
  • 6. Department of Pathology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China.
Abstract

Immune checkpoint inhibitors targeting programmed cell death protein 1 (PD-1) or programmed cell death 1 ligand 1 (PD-L1) have enabled some patients with Cancer to experience durable, complete treatment responses; however, reliable anti-PD-(L)1 treatment response biomarkers are lacking. Our research found that PD-L1 K162 was methylated by SETD7 and demethylated by LSD2. Furthermore, PD-L1 K162 methylation controlled the PD-1/PD-L1 interaction and obviously enhanced the suppression of T cell activity controlling Cancer immune surveillance. We demonstrated that PD-L1 hypermethylation was the key mechanism for anti-PD-L1 therapy resistance, investigated that PD-L1 K162 methylation was a negative predictive marker for anti-PD-1 treatment in patients with non-small cell lung Cancer, and showed that the PD-L1 K162 methylation:PD-L1 ratio was a more accurate biomarker for predicting anti-PD-(L)1 therapy sensitivity. These findings provide insights into the regulation of the PD-1/PD-L1 pathway, identify a modification of this critical immune checkpoint, and highlight a predictive biomarker of the response to PD-1/PD-L1 blockade therapy.

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