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Multisite tumor sampling: a new tumor selection method to enhance intratumor heterogeneity detection
José I López1, Jesús M Cortés2
1Department of Pathology, Cruces University Hospital, 48903 Barakaldo, Spain; Biomarkers in Cancer Unit, Biocruces Research Institute, 48903 Barakaldo, Spain; University of the Basque Country (UPV/EHU), 48940 Leioa, Spain.
Human Pathology
|February 27, 2017
Summary
Detecting intratumor heterogeneity (ITH) is crucial for cancer care. This review introduces multisite tumor sampling as an efficient, cost-effective method for accurate ITH detection and analysis by pathologists.
Area of Science:
- Pathology
- Oncology
- Cancer Research
Background:
- Intratumor heterogeneity (ITH) is a complex biological process with significant clinical implications in cancer.
- Accurate detection of ITH is vital for effective cancer diagnosis and treatment planning.
- Pathologists' tumor sampling strategies directly impact the reliability of ITH assessment.
Purpose of the Study:
- To provide pathologists with a foundational scientific understanding of ITH.
- To advocate for updated, scientific approaches to tumor sampling for histological and molecular analysis.
- To introduce and review multisite tumor sampling as an improved method for ITH detection.
Main Methods:
- Review of scientific literature on intratumor heterogeneity.
- Explanation of a divide-and-conquer algorithm for tumor sampling.
- Description of multisite tumor sampling as an alternative to traditional methods.
Main Results:
- Multisite tumor sampling offers a structured, evidence-based approach to ITH detection.
- This method enhances the reliability of histological and molecular analyses.
- Scientific evidence supports the clinical applicability and practical advantages of multisite sampling.
Conclusions:
- Pathologists should adopt more scientific sampling techniques to address ITH.
- Multisite tumor sampling is a clinically relevant and cost-effective strategy.
- Improved sampling methods are essential for advancing cancer diagnostics and personalized medicine.
