CLD-101 is under clinical development by Calidi Biotherapeutics and currently in Phase I for Glioblastoma Multiforme (GBM). According to GlobalData, Phase I drugs for Glioblastoma Multiforme (GBM) have an 82% phase transition success rate (PTSR) indication benchmark for progressing into Phase II. GlobalData’s report assesses how CLD-101’s drug-specific PTSR and Likelihood of Approval (LoA) scores compare to the indication benchmarks. Buy the report here.

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.

CLD-101 overview

NNV1 is under development for the treatment of recurrent glioblastoma multiforme (GBM), anaplastic astrocytoma, gliosarcoma, anaplastic oligodendroglioma, anaplastic oligoastrocytoma, metastatic ovarian cancer, newly diagnosed high-grade glioma and recurrent high-grade glioma. The therapeutic candidate comprises immortalized neural stem cells (NSC) loaded with oncolytic adenovirus (CRAd-S-pk7). It is administered through intracerebral route and is being developed based on NeuroNova platform.

It was also under development for the treatment of malignant glioma.

Calidi Biotherapeutics overview

Calidi Biotherapeutics is an immuno-oncology company focusing on developing and commercializing efficient stem cell-based platforms for cancer treatment. The company is headquartered in San Diego, California, the US.

For a complete picture of CLD-101’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.