IGV-001 cellular immunotherapy for newly diagnosed glioblastoma: overcoming the logistic challenge
Eric T. Wong, Deus Cielo, Konstantina Svokos, Curt Doberstein, Prakash Sampath, John E. Donahue, Michael Punsoni, Nuno Rodrigues, Francesca Rothell, Robert Edwards, Elaina Wang, Tori Riccelli, Carlin Chuck, Elias A. Shaaya, Rahul Sastry, Rohaid Ali, Belinda Shao, Hael Abdulrazeq

TL;DR
This paper describes a complex cellular immunotherapy protocol for glioblastoma and shares lessons learned to help other hospitals implement similar treatments.
Contribution
The paper provides a detailed workflow and practical insights for implementing the IGV-001 immunotherapy protocol in other medical centers.
Findings
The IGV-001 protocol requires coordination across multiple hospital departments for successful execution.
The clinical trial was conducted at 32 U.S. sites with patients randomized to receive either treated tumor tissue or a placebo.
The authors highlight logistical challenges and lessons learned during the trial's implementation.
Abstract
IGV-001 is a type of cellular immunotherapy currently being investigated for treating glioblastoma (NCT04485949). It uses the patient’s tumor to elicit an autologous immune response. The process involves (i) craniotomy for maximum safe resection of the glioblastoma, (ii) ex-vivo treatment of the tumor with an anti-sense oligodeoxynucleotide against insulin-like growth factor 1 receptor followed by irradiation, (iii) placement of the treated tumor in multiple bio-diffusion chambers, which are implanted into the patient’s abdominal sheath to elicit an immune response, and (iv) explantation of the chambers 48 hours later. The clinical trial was open at 32 sites in the United States, and eligible subjects were randomized in a 2:1 ratio to receive bio-diffusion chambers containing either conditioned glioblastoma tissue or a placebo. Patients subsequently proceeded to standard-of-care…
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Taxonomy
TopicsCAR-T cell therapy research · Immunotherapy and Immune Responses · Virus-based gene therapy research
