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Updated: Aug 19, 2026

Ultra-Fast Amplicon-Based Next-Generation Sequencing in Non-Squamous Non-Small Cell Lung Cancer
Published on: September 8, 2023
New science-based endpoints to accelerate oncology drug development
Gary J Kelloff1, Caroline C Sigman
1Division of Cancer Treatment and Diagnosis, Cancer Imaging Program, National Cancer Institute, Executive Plaza North Room 6038, 9000 Rockville Pike, Bethesda, MD 20892, USA. kelloffg@mail.nih.gov
Abstract:
Although several new oncology drugs have reached the market, more than 80% of drugs for all indications entering clinical development do not get marketing approval, with many failing late in development often in Phase III trials, because of unexpected safety issues or difficulty determining efficacy, including confounded outcomes. These factors contribute to the high costs of oncology drug development and clearly show the need for faster, more cost-effective strategies for evaluating oncology drugs and better definition of patients who will benefit from treatment. Remarkable advances in the understanding of neoplastic progression at the cellular and molecular levels have spurred the discovery of molecularly targeted drugs. This progress along with advances in imaging and bioassay technologies are the basis for describing and evaluating new biomarker endpoints as well as for defining other biomarkers for identifying patient populations, potential toxicity, and providing evidence of drug effect and efficacy. Definitions and classifications of these biomarkers for use in oncology drug development are presented in this paper. Science-based and practical criteria for validating biomarkers have been developed including considerations of mechanistic plausibility, available methods and technology, and clinical feasibility. New promising tools for measuring biomarkers have also been developed and are based on genomics and proteomics, direct visualisation by microscopy (e.g., confocal microscopy and computer-assisted image analysis of cellular features), nanotechnologies, and direct and remote imaging (e.g., fluorescence endoscopy and anatomical, functional and molecular imaging techniques). The identification and evaluation of potential surrogate endpoints and other biomarkers require access to and analysis of large amounts of data, new technologies and extensive research resources. Further, there is a requirement for a convergence of research, regulatory and drug developer thinking - an effort that will not be accomplished by individual scientists or research institutions. Research collaborations are needed to foster development of these new endpoints and other biomarkers and, in the United States (US), include ongoing efforts among the Food and Drug Administration (FDA), National Cancer Institute (NCI), academia, and industry.
Insights
Developing new oncology drugs is costly and inefficient. This paper discusses novel biomarker strategies and technologies to improve drug evaluation, identify patient populations, and enhance treatment efficacy for better cancer care.
Area of Science:
- Oncology
- Biomarkers
- Drug Development
Background:
- High failure rates in oncology drug development, particularly in Phase III trials, are due to safety and efficacy issues, increasing costs.
- Advances in molecular understanding of cancer and new technologies necessitate improved strategies for evaluating oncology drugs.
Purpose of the Study:
- To present definitions and classifications of biomarkers for oncology drug development.
- To outline science-based criteria for validating biomarkers.
- To highlight new technologies for biomarker measurement and evaluation.
Main Methods:
- Review of current challenges in oncology drug development.
- Description of novel biomarker endpoints and their validation criteria.
- Discussion of emerging technologies including genomics, proteomics, advanced microscopy, and imaging techniques.
Main Results:
- Biomarkers are crucial for identifying patient populations, predicting toxicity, and demonstrating drug efficacy.
- New technologies offer promising tools for precise biomarker measurement.
- Validation criteria emphasize mechanistic plausibility, technological feasibility, and clinical utility.
Conclusions:
- Biomarker-driven strategies can accelerate oncology drug development and improve cost-effectiveness.
- Collaboration between researchers, regulators (FDA, NCI), academia, and industry is essential for advancing biomarker research and implementation.
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