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Current projects in Pre-analytics: where to go?

Anna Sapino1, Laura Annaratone, Caterina Marchiò

  • 1Department of Medical Sciences, Pathology Unit, University of Turin, via Santena 7, Turin, Italy, anna.sapino@unito.it.

Recent Results in Cancer Research. Fortschritte Der Krebsforschung. Progres Dans Les Recherches Sur Le Cancer
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This summary is machine-generated.

Standardizing tissue handling in clinical practice is crucial for reliable diagnostic results and research reproducibility. Investing in pre-analytics can improve public health and innovation in solid tumor processing.

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Area of Science:

  • Oncology
  • Pathology
  • Biotechnology

Background:

  • Clinical tissue handling and sample preparation lack standardization, leading to variable sample quality.
  • Poor tissue preservation causes morphological artifacts, hindering reproducibility of diagnostic tests (immunocytochemistry, molecular diagnostics) and research outcomes.
  • This variability limits the pooling of national data into European databases.

Purpose of the Study:

  • To highlight the impact of pre-analytical procedures on clinical sample quality.
  • To emphasize the need for standardization in tissue handling and sample preparation.
  • To introduce novel approaches for pre-analytical procedures in solid tumor processing.

Main Methods:

  • Review of current clinical practices in tissue handling.
  • Discussion of the consequences of inadequate pre-analytical standardization.
  • Introduction of a joint Italian public-private project focused on pre-analytical standardization.

Main Results:

  • Lack of standardization in pre-analytics significantly impacts diagnostic and research reproducibility.
  • Investing in pre-analytics is essential for improving public health and driving innovation.
  • Standardization efforts at the European level are in early stages.

Conclusions:

  • Standardizing pre-analytical procedures is critical for enhancing the reliability of diagnostic and research data.
  • Addressing pre-analytical variability can improve the quality of bio-specimens and facilitate data sharing.
  • Novel approaches in pre-analytics hold promise for advancing solid tumor processing and patient care.