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Updated: May 29, 2026

Predictive Immune Modeling of Solid Tumors
Published on: February 25, 2020
Predictive genomic biomarkers
1Oncology Research and Development, GlaxoSmithKline, Collegeville, PA 19426, USA.
Abstract:
Advances in the biological characterization of tumors has led to the design and development of anticancer agents targeting specific molecular alterations. The majority of these agents are designed to silence phosphorylation signals that are required for the development and maintenance of the cancer phenotype in specific tumor types. Prospective identification of cancer subsets containing particular target alterations is a requirement for these development programs, which in theory, should include smaller trials and result in larger therapeutic benefits. In this review, we will examine relevant examples of selection markers effectively utilized in oncology, and discuss important considerations pertaining to the co-development of drugs and diagnostics, including current regulatory paths, the incorporation of selection markers emerging late in development, and future directions in the area of personalized oncology.
Insights
Targeted anticancer agents require specific molecular alterations for efficacy. This review examines selection markers, drug-diagnostic co-development, and personalized oncology strategies for improved cancer treatment.
Area of Science:
- Oncology
- Molecular Biology
- Pharmacology
Background:
- Tumor biological characterization has advanced anticancer agent development.
- Many agents target phosphorylation signals crucial for cancer progression.
- Identifying specific molecular alterations is key for targeted therapies.
Purpose of the Study:
- To review the use of selection markers in oncology.
- To discuss co-development of drugs and diagnostics.
- To explore future directions in personalized oncology.
Main Methods:
- Literature review of selection markers in cancer treatment.
- Analysis of drug-diagnostic co-development considerations.
- Discussion of regulatory pathways and late-emerging markers.
Main Results:
- Selection markers are crucial for identifying patient subsets for targeted therapies.
- Co-development of drugs and diagnostics streamlines therapeutic programs.
- Personalized oncology relies on effective marker selection and validation.
Conclusions:
- Effective use of selection markers enhances therapeutic benefits and trial efficiency.
- Co-development strategies are vital for the success of targeted anticancer agents.
- Future personalized oncology will increasingly integrate predictive biomarkers and targeted treatments.
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