Towards Optimization of Precision Oncology in Metastatic Uterine Tumors

Precision oncology and its diagnostic tools are essential for developing personalized cancer treatments. 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 (LM-uADC and LM-uLMS), with the aim of obtaining key tumor microenvironment (TME) biomarkers that can help improve metastatic prediction and shed light on potential therapeutic targets. Total genomic DNA (gDNA) from 10-μm FFPE tissue sections of the invasive tumor front (ITF) from uADC and uLMS primary tumors and their respective lung metastasis (LM-uADC and LM-uLMS) were pocessed on the Infinium MethylationEPIC array (850K). Samples that passed the quality controls using RnBeads package in R environment, were analyzed to asses their DNA methylation profile. The DNA methylation data from u-ADC and u-LMS primary tumors used in this study has been previously deposited on GEO with the accession number GSE171142.