Siglec-15 as an Emerging Target for Next-generation Cancer Immunotherapy.
Jingwei SunQiao LuMiguel F SanmamedJun WangPublished in: Clinical cancer research : an official journal of the American Association for Cancer Research (2020)
Immunomodulatory agents blocking the PD-1/PD-L1 pathway have shown a new way to treat cancer. The explanation underlying the success of these agents may be the selective expression of PD-L1 with dominant immune-suppressive activities in the tumor microenvironment (TME), supporting a more favorable tumor response-to-toxicity ratio. However, despite the big success of these drugs, most patients with cancer show primary or acquired resistance, calling for the identification of new immune modulators in the TME. Using a genome-scale T-cell activity array in combination with bioinformatic analysis of human cancer databases, we identified Siglec-15 as a critical immune suppressor with broad upregulation on various cancer types and a potential target for cancer immunotherapy. Siglec-15 has unique molecular features compared with many other known checkpoint inhibitory ligands. It shows prominent expression on macrophages and cancer cells and a mutually exclusive expression with PD-L1, suggesting that it may be a critical immune evasion mechanism in PD-L1-negative patients. Interestingly, Siglec-15 has also been identified as a key regulator for osteoclast differentiation and may have potential implications in bone disorders not limited to osteoporosis. Here, we provide an overview of Siglec-15 biology, its role in cancer immune regulation, the preliminary and encouraging clinical data related to the first-in-class Siglec-15 targeting mAb, as well as many unsolved questions in this pathway. As a new player in the cancer immunotherapeutic arena, Siglec-15 may represent a novel class of immune inhibitors with tumor-associated expression and divergent mechanisms of action to PD-L1, with potential implications in anti-PD-1/PD-L1-resistant patients.
Keyphrases
- papillary thyroid
- poor prognosis
- squamous cell
- end stage renal disease
- newly diagnosed
- chronic kidney disease
- ejection fraction
- squamous cell carcinoma
- prognostic factors
- lymph node metastasis
- dna damage
- big data
- cell cycle
- risk assessment
- endothelial cells
- young adults
- binding protein
- long non coding rna
- machine learning
- cell proliferation
- human health
- mass spectrometry
- drug delivery
- gene expression
- peritoneal dialysis
- climate change
- transcription factor
- drug induced
- high resolution