Login / Signup

A phase I study of an adenoviral vector delivering a MUC1/CD40-ligand fusion protein in patients with advanced adenocarcinoma.

Tira J TanW X Gladys AngWho-Whong WangHui-Shan ChongSze Huey TanRachael CheongJohn Whay-Kuang ChiaNicholas L SynTimothy Wai Ho ShuenRebecca BaNivashini KaliaperumalBijin AuRichard HopkinsXinhua LiAaron C TanAmanda O L SeetJohn E ConnollyThaschawee ArkachaisriValerie ChewAhmad Bin Mohamed LajamDianyan GuoMarvin Z W ChewMartin WasserPavanish KumarSalvatore AlbaniHan Chong Toh
Published in: Nature communications (2022)
Cancer vaccines as immunotherapy for solid tumours are currently in development with promising results. We report a phase 1 study of Ad-sig-hMUC1/ecdCD40L (NCT02140996), an adenoviral-vector vaccine encoding the tumour-associated antigen MUC1 linked to CD40 ligand, in patients with advanced adenocarcinoma. The primary objective of this study is safety and tolerability. We also study the immunome in vaccinated patients as a secondary outcome. This trial, while not designed to determine clinical efficacy, reports an exploratory endpoint of overall response rate. The study meets its pre-specified primary endpoint demonstrating safety and tolerability in a cohort of 21 patients with advanced adenocarcinomas (breast, lung and ovary). The maximal dose of the vaccine is 1 ×10 11 viral particles, with no dose limiting toxicities. All drug related adverse events are of low grades, most commonly injection site reactions in 15 (71%) patients. Using exploratory high-dimensional analyses, we find both quantitative and relational changes in the cancer immunome after vaccination. Our data highlights the utility of high-dimensional analyses in understanding and predicting effective immunotherapy, underscoring the importance of immune competency in cancer prognosis.
Keyphrases
  • end stage renal disease
  • papillary thyroid
  • squamous cell carcinoma
  • open label
  • radiation therapy
  • study protocol
  • mass spectrometry
  • machine learning
  • sars cov
  • childhood cancer
  • artificial intelligence