Enhancing Prostate Tumor Biobanking Reliability with Improved Sampling Technique and Histological Characterization

Fecha de publicación:

Autores de IIS La Fe

  • Eugenia Guerrero Moreno

    Autor

  • Francisco Quereda Flores

    Autor

  • Josselyn Andrea Hernández Chinchilla

    Autor

  • Raquel Amigo Moreno

    Autor

  • María Dolores Pérez Ruiz

    Autor

  • Aileen Carcelen Lopez

    Autor

  • Jorge Rocher Benlloch

    Autor

  • Adrián Casares Calzada

    Autor

  • Pilar Molió Sanchís

    Autor

Participantes ajenos a IIS La Fe

  • Marques-Torrejon, MA
  • Martinez-Cadenas, C
  • Monfort, AL

Grupos

Abstract

Acquiring fresh and well-characterized tumor tissue samples is critical for conducting high-quality "omics" studies. However, it can be particularly challenging in the context of prostate cancer (PC) due to the unique nature of this organ and the high heterogeneity associated with this tumor. On the other hand, histopathologically characterizing samples before their storage without causing significant tissue alterations is also an intriguing challenge. In this context, we present a new method for acquiring, mapping, characterizing, and micro-dissecting resected prostate tissue based on anatomopathological criteria. Unlike previously published protocols, this method reduces the time required for histopathological analysis of the prostate specimen without compromising its structure, which is crucial for assessing surgical margins. Furthermore, it enables the delineation and micro-macro dissection of fresh prostate tissue samples, with a focus on histological tumor areas defined by pathological criteria such as Gleason score, precursor lesions (high-grade prostatic intraepithelial neoplasia -PIN), and inflammatory lesions (prostatitis). These samples are then stored in a Biobank for subsequent research analyses.

Datos de la publicación

ISSN/ISSNe:
1940-087X, 1940-087X

Jove-Journal of Visualized Experiments  JOURNAL OF VISUALIZED EXPERIMENTS

Tipo:
Article
Páginas:
-
PubMed:
38047572
Factor de Impacto:
0,504 SCImago ℠
Cuartil:
Q2 SCImago ℠

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