Likelihood of Approval and Phase Transition Success Rate Model – Trilaciclib in Breast Cancer

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lgp loa report cover Likelihood of Approval and Phase Transition Success Rate Model – Trilaciclib in Breast Cancer

Published: March 18, 2024 Report Code: GDHCDR4360LOA-MP-L5

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Empower your strategies with our Likelihood of Approval and Phase Transition Success Rate Model – Trilaciclib in Breast Cancer report and make more profitable business decisions.

This report provides you with the data that allows you to track and predict the specific likelihood of approval (LOA) and phase transition success rate (PTSR) of a drug using GlobalData’s proprietary machine learning algorithms developed using over 10 years of historical data.


Trilaciclib in Breast Cancer Drug Details:

Trilaciclib (Cosela) is a potential antineoplastic agent with chemoprotective properties. It is formulated as lyophilized cake for solution for intravenous route of administration. Cosela is indicated to decrease the incidence of chemotherapy-induced myelosuppression in adult patients when administered prior to  a platinum/etoposide-containing regimen or topotecan-containing regimen for extensive-stage small cell lung cancer (ES-SCLC).Trilaciclib is under development for the treatment of small-cell lung cancer, metastatic bladder cancer (locally advanced or metastatic urothelial carcinoma), metastatic triple negative breast cancer, colon cancer, castrate-resistant prostate cancer, NSCLC as first line and chemotherapy-induced myelosuppression. It is administered through intravenous route. The drug candidate acts by targeting cyclin-dependent kinases (CDK) 4 and 6. It was also under development for the treatment of non-small cell lung cancer, metastatic colorectal cancer.

Report Coverage

The data is segmented by drug name per indication and shows the current likelihood of approval for the drug compared to the indication benchmark and the industry benchmark.

The Likelihood of Approval data is updated regularly based on events that take place which impact the clinical development process and regulatory considerations. GlobalData’s proprietary machine learning models consider these events in real time, to produce quantitative changes to the LOA and PTSR along with qualitative reasoning why the likelihood of approval has changed.

Quick View – Trilaciclib LOA Data
Report Segments
· Drug type

· Intervention type
Drug Name
· Trilaciclib
Administration Pathway
·
Therapeutic Areas
· Oncology| Toxicology
Key Manufacturers
· G1 Therapeutics Inc
Drug Development Status
· Phase II

Reasons to Buy

  • Precise Likelihood of Approval and Phase Transition Success Rates: Our machine learning and proprietary models provide accurate predictions, helping you gauge the potential success of a drug in the regulatory process.

  • Competitive Strategy Planning: Access information on LOA and PTSR for competitors’ drugs, allowing you to plan your clinical development, commercialisation and marketing strategies

  • Event-driven Updates: Track event-driven changes in LOA and PTSR benchmarked against indication LOA/PTSR. Get the latest insights to adapt your strategies promptly!

  • Well-informed Investment Decisions: This data helps you navigate the dynamic landscape of drug development and regulatory considerations.

Scope

  • Drug Details: Drug name, Drug type, Intervention type

  • Administration Pathway

  • Therapeutic Areas

  • Key Manufacturers

  • Drug Development Status

This is an on-demand report that will be delivered upon request. The report will be delivered within 2 business days of the purchase, excluding weekends and holidays. Certain sections of the report may be removed or altered based on data availability and relevance.

Frequently asked questions

    The probability of a drug ultimately receiving market authorization

    The probability of a drug’s advancement to the next stage of clinical development

    GlobalData’s  Drug-Specific Likelihood of Approval (LoA) calculates the  Phase Transition Success Rate (PTSR) and  Likelihood of Approval (LoA) customized to individual drug. The model uses a combination of  Machine Learning (ML) and a  GlobalData proprietary algorithm to process data points from the  Drugs, Clinical Trials, Regulatory Milestones, Company, and  Financial databases.

     

    Inclusion

    Data Scope:

    • Drugs which have been approved in the past 10 years
    • Drugs which have failed during clinical development in the past 18 years
    • Drugs which are currently in development

    Drug Phase Scope:

    • Phase I, Phase II, Phase III, and Pre-Registration development stage

    Drug Geography Scope:

    • Drugs must meet one of the following criteria to be included in the model:
    • The developer has specified the US as an intended market for approval.
    • The developer has not specified any country as an intended market for approval, i.e. the “Drug Geography” is listed as “Global”

    Drug Type Scope:

    • Innovator drugs and biosimilars

    Entity Type Scope:

    Only drugs in development by companies are included in the model.

    Exclusion

    • Diagnostics, Imaging Agents, Biomarkers, stents and other drug delivery devices (covered in GlobalData’s Medical Intelligence Center).
    • Nutraceuticals, dietary supplements, alternative medicines, imaging agents, radio emitter, transplants, transfusions, fillers, cosmetics, probiotics, antiseptics, antacids, mobilizing agents, veterinary drugs and drugs not seeking approval.
    • Generic drugs
    • Innovative drugs in Preclinical or Discovery Stage.
    • Pipeline drugs sponsored by a Government or Institution.
    • Drugs with a specific Drug Geography not the United States.

     

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