| Literature DB >> 35311098 |
Weiran Xu1, Kai Wang2, Wenguang Gu3, Xinxin Nie4, Hao Zhang4, Chuanhao Tang1, Li Lin1, Jun Liang1.
Abstract
Primary splenic angiosarcoma (PSA) is a rare malignancy with poor prognosis. At present, little study is available on immunotherapy in PSA. Here, we report a case of a patient with metastatic PSA who was treated with programmed death-1 (PD-1) inhibitors and vascular endothelial growth factor (VEGF) tyrosine kinase inhibitors combined therapy and achieved complete response (CR). The patient was a 57-year-old woman with three liver metastases. She was treated with seven cycles of toripalimab plus anlotinib. Programmed death-ligand 1 (PD-L1) immunohistochemistry and next-generation sequencing was performed, and the PD-L1 tumor proportion score was 75%. Finally, she achieved CR after six cycles of the combined therapy regimen. No serious adverse events were detected. To the best of our knowledge, this is the first clinical evidence that anti-PD-1 plus anti-VEGF therapy might be a promising option for patients with metastatic PSA. However, more clinical trials are needed to verify this conclusion.Entities:
Keywords: PD-1 inhibitor; anti-VEGF therapy; complete remission; immunotherapy; primary splenic angiosarcoma
Year: 2022 PMID: 35311098 PMCID: PMC8928100 DOI: 10.3389/fonc.2022.809068
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Figure 1(A) H&E stain from postoperative tumor tissue (10X magnification). (B) Immunohistochemical staining for PD-L1 in postoperative tumor tissue. (C–J) Timelines of imaging changes.
Figure 2Analysis of the patients’ mutation genes in TCGA sarcoma data.
Figure 3Correlation analysis of PTEN gene expression and TMB. The horizontal axis in the figure represents the expression distribution of the gene, and the ordinate is the expression distribution of the TMB score. The density curve on the right represents the distribution trend of the TMB score; the upper density curve represents the distribution trend of the gene; the top side represents the correlation p value, correlation coefficient and correlation calculation method.