Web of Science: 1 citations, Scopus: 1 citations, Google Scholar: citations,
Integrating digital pathology with transcriptomic and epigenomic tools for predicting metastatic uterine tumor aggressiveness
Sonzini, Giorgia (Universitat de València)
Granados-Aparici, Sofia (Universitat de València)
Sanegre, Sabina (Cancer CIBER)
Diaz-Lagares, Angel (Hospital Clínico Universitario (Santiago de Compostela, Galícia))
Diaz-Martin, Juan (Hospital Universitario Virgen del Rocío (Sevilla, Andalusia))
de Andrea, Carlos (Clínica Universidad de Navarra)
Eritja, Núria (Institut d'Investigació Biomèdica de Bellvitge)
Bao Caamano, Aida (Universidade de Santiago de Compostela)
Costa-Fraga, Nicolás (Universidade de Santiago de Compostela)
García-Ros, David (Clínica Universidad de Navarra)
Salguero-Aranda, Carmen (Hospital Universitario Virgen del Rocío (Sevilla, Andalusia))
Davidson, Ben (Oslo University Hospital (Oslo, Noruega))
López-López, Rafael (Instituto de Investigación Sanitaria de Santiago (IDIS))
Melero, Ignacio (Clínica Universidad de Navarra)
Navarro, Samuel (Cancer CIBER)
Ramón y Cajal, Santiago (Universitat Autònoma de Barcelona)
De Álava, Enrique (Hospital Universitario Virgen del Rocío (Sevilla, Andalusia))
Matias-Guiu, Xavier (Institut d'Investigació Biomèdica de Bellvitge)
Noguera, Rosa (Cancer CIBER)

Date: 2022
Abstract: 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 the interactions of tumor cells and the tumor microenvironment (TME), which play a crucial role in tumor initiation, progression and metastasis. The purpose of this study was to integrate data on the digital patterns of reticulin fiber scaffolding and the immune cell infiltrate, transcriptomic and epigenetic profiles in aggressive uterine adenocarcinoma (uADC), uterine leiomyosarcoma (uLMS) and their respective lung metastases, with the aim of obtaining key TME biomarkers that can help improve metastatic prediction and shed light on potential therapeutic targets. Automatized algorithms were used to analyze reticulin fiber architecture and immune infiltration in colocalized regions of interest (ROIs) of 133 invasive tumor front (ITF), 89 tumor niches and 70 target tissues in a total of six paired samples of uADC and nine of uLMS. Microdissected tissue from the ITF was employed for transcriptomic and epigenetic studies in primary and metastatic tumors. Reticulin fiber scaffolding was characterized by a large and loose reticular fiber network in uADC, while dense bundles were found in uLMS. Notably, more similarities between reticulin fibers were observed in paired uLMS then paired uADCs. Transcriptomic and multiplex immunofluorescence-based immune profiling showed a higher abundance of T and B cells in primary tumor and in metastatic uADC than uLMS. Moreover, the epigenetic signature of paired samples in uADCs showed more differences than paired samples in uLMS. Some epigenetic variation was also found between the ITF of metastatic uADC and uLMS. Altogether, our data suggest a correlation between morphological and molecular changes at the ITF and the degree of aggressiveness. The use of DP tools for characterizing reticulin scaffolding and immune cell infiltration at the ITF in paired samples together with information provided by omics analyses in a large cohort will hopefully help validate novel biomarkers of tumor aggressiveness, develop new drugs and improve patient quality of life in a much more efficient way.
Grants: Instituto de Salud Carlos III PI17/01558
Ministerio de Economía, Industria y Competitividad CB16/12/00484
Instituto de Salud Carlos III CB16/12/0328
Instituto de Salud Carlos III CB16/12/00363
Instituto de Salud Carlos III CB16/12/00364
Instituto de Salud Carlos III CB16/12/00481
Instituto de Salud Carlos III CB16/12/00231
Instituto de Salud Carlos III FI19/00240
Rights: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Language: Anglès
Document: Article ; recerca ; Versió publicada
Subject: Uterine adenocarcinoma ; Uterine leiomyosarcoma ; Lung metastasis ; Digital pathology ; Invasive tumor front ; Multiplex immunofluorescence ; Transcriptomics ; Methylomics
Published in: Frontiers in Cell and Developmental Biology, Vol. 10 (november 2022) , ISSN 2296-634X

DOI: 10.3389/fcell.2022.1052098
PMID: 36467415


20 p, 5.4 MB

The record appears in these collections:
Articles > Research articles
Articles > Published articles

 Record created 2022-12-15, last modified 2024-01-15



   Favorit i Compartir