CAN-3110 by Candel Therapeutics for High-Grade Glioma: Likelihood of Approval

GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.

CAN-3110 overview

RQNestin-34.5v.2 is under development for the treatment of recurrent malignant glioma, recurrent glioblastoma and high grade glioma. It is administered by intratumoral route. The drug candidate is an oncolytic virus, the human nestin promoter enhancer element to drive expression of the HSV1 gene, Y134.5, encoding the viral protein ICP34.5.It is based on enLIGHTEN discovery platform.

Candel Therapeutics overview

Candel Therapeutics is a biopharmaceutical company. It manufactures, develops and tests cancer immunotherapy drugs and gene-based biologics. Candel Therapeutics offers CAN-2409 and CAN-3110, for the treatment of a broad range of solid tumor indications. It is focused on developing oncolytic viral immunotherapies for the treatment of cancer patients. The company’s oncolytic viral immunotherapy platforms use genetically engineered viruses to induce immunogenic death through viral-mediated cytotoxicity in cancer cells. Its products, CAN-3110 and CAN-2409 are used in the treatment of prostate cancer, brain cancer, pancreatic cancer, lung cancer, malignant pleural effusion and mesothelioma. Candel Therapeutics is headquartered in Needham, Massachusetts, the US.

For a complete picture of CAN-3110’s drug-specific PTSR and LoA scores, buy the report here.

This content was updated on 10 June 2024

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GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article.

GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.