Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness

Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness

The incidence of new cancer cases is expected to increase significantly in the future, posing a worldwide problem. In this regard, precision oncology and its diagnostic tools are essential for developing personalized cancer treatments. Digital pathology (DP) is a particularly key strategy to study t...

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Bibliographic Details
Main Authors: Giorgia Sonzini, Sofia Granados-Aparici, Sabina Sanegre, Angel Diaz-Lagares, Juan Diaz-Martin, Carlos de Andrea, Núria Eritja, Aida Bao-Caamano, Nicolás Costa-Fraga, David García-Ros, Carmen Salguero-Aranda, Ben Davidson, Rafael López-López, Ignacio Melero, Samuel Navarro, Santiago Ramon y Cajal, Enrique de Alava, Xavier Matias-Guiu, Rosa Noguera
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Cell and Developmental Biology
Subjects:
uterine adenocarcinoma
uterine leiomyosarcoma
lung metastasis
digital pathology
invasive tumor front
multiplex immunofluorescence
Online Access:https://www.frontiersin.org/articles/10.3389/fcell.2022.1052098/full

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https://www.frontiersin.org/articles/10.3389/fcell.2022.1052098/full

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