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Pre-analytics and tumor heterogeneity.

Serena Bonin1, Giorgio Stanta1

  • 1Department of Medical Sciences, University of Trieste, Trieste, Italy.

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Tumor heterogeneity significantly impacts molecular analysis reproducibility. Standardizing tissue sampling protocols is crucial for accurate diagnostics, research, and effective cancer treatment strategies.

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Area of Science:

  • Oncology
  • Molecular Biology
  • Pathology

Background:

  • Tissue heterogeneity, especially tumor heterogeneity, is frequently overlooked in pre-analytics.
  • This oversight compromises the reproducibility of molecular analyses in diagnostics and clinical research.
  • Tumor sampling from different regions (e.g., border vs. center) reveals varied gene expression and genetic/epigenetic alterations due to tumor polyclonality.

Purpose of the Study:

  • To highlight the critical importance of addressing tissue heterogeneity in pre-analytical tissue processing.
  • To emphasize the need for standardized tissue sampling protocols for molecular analysis.
  • To discuss the implications of heterogeneity for diagnostics, research, and cancer treatment.

Main Methods:

  • Review and description of different types of tumor heterogeneity.
  • Analysis of improper pre-analytical conditions in tissue processing that can introduce artifacts.
  • Discussion of the impact of heterogeneity on molecular extraction and in situ molecular methods.

Main Results:

  • Failure to account for tumor heterogeneity leads to irreproducible molecular analysis results.
  • Variations in gene expression and DNA/epigenetic alterations exist across different tumor areas.
  • Inadequate pre-analytical tissue handling can create artificial heterogeneity.

Conclusions:

  • Standardized tissue sampling protocols are essential for reproducible and comparable molecular analyses.
  • Addressing heterogeneity is fundamental for obtaining reliable prognostic and predictive information.
  • Consideration of tumor heterogeneity is vital during cancer treatment as therapies alter tumor clonal composition.