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Updated: Jun 17, 2025

Preparation of Peripheral Blood Mononuclear Cell Pellets and Plasma from a Single Blood Draw at Clinical Trial Sites for Biomarker Analysis
Published on: March 20, 2021
[Pathological Diagnostic Testing and Biomarkers for Perioperative System Therapy]
Ramona Erber1,2
1Pathologisches Institut, Universitätsklinikum Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Deutschland.
Quality-assured processing of lung cancer tissue samples and biomarker testing are crucial for personalized treatment planning. This ensures accurate diagnosis, staging, and selection of targeted therapies like EGFR, ALK, and PD-L1 for non-small cell lung cancer (NSCLC).
Area of Science:
- Oncology
- Pathology
- Molecular Diagnostics
Background:
- Personalized treatment for resectable lung cancer hinges on high-quality pathological analysis of tissue samples.
- Accurate histological typing, staging, grading, and assessment of resection status are essential diagnostic components.
- Biomarker determination (e.g., EGFR, ALK, PD-L1) is critical for guiding treatment decisions in early-stage non-small cell lung cancer (NSCLC).
Purpose of the Study:
- To emphasize the necessity of quality-assured, standardized, and prompt pathological processing for optimal lung cancer treatment planning.
- To highlight the role of histopathological typing, grading, and molecular biomarker analysis in personalized oncology.
- To underscore the importance of adhering to international standards for testing predictive and prognostic markers.
Main Methods:
- Histopathological examination of Formalin-Fixed Paraffin-Embedded (FFPE) tissue samples.
- Tumor typing according to the current World Health Organization (WHO) classification.
- Assessment of staging, tumor grading, resection status (R classification), and regression grading.
- Molecular biomarker testing for EGFR, ALK, and PD-L1.
Main Results:
- Accurate histopathological typing (adenocarcinomas, squamous cell carcinomas, NSCLCs, neuroendocrine carcinomas) is fundamental.
- Standardized tumor grading, particularly for invasive non-mucinous adenocarcinoma, provides prognostic risk assessment.
- R classification and regression grading offer additional prognostic relevance.
- Molecular biomarker analysis (EGFR, ALK, PD-L1) informs individualized treatment strategies for early-stage NSCLC.
Conclusions:
- Quality-assured and standardized pathological processing of lung cancer tissue is indispensable for effective personalized treatment.
- Comprehensive histopathological evaluation combined with molecular biomarker testing ensures optimal patient management.
- Adherence to international standards in diagnostic testing is paramount for reliable predictive and prognostic information.
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