Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer

Overview

Journal Cancers (Basel)

Publisher MDPI

Specialty Oncology

Date 2021 Nov 27

PMID 34830891

Citations 8

Authors

Marta Lukasiewicz

Krzysztof Pastuszak

Sylwia Lapinska-Szumczyk

Robert Rozanski

Sjors G J G In t Veld

Michal Bienkowski

Tomasz Stokowy

Magdalena Ratajska

Myron G Best

Thomas Wurdinger

Anna J Zaczek

Anna Supernat

Jacek Jassem

Affiliations

Soon will be listed here.

Abstract

Background: Liquid biopsy is a minimally invasive collection of a patient body fluid sample. In oncology, they offer several advantages compared to traditional tissue biopsies. However, the potential of this method in endometrial cancer (EC) remains poorly explored. We studied the utility of tumor educated platelets (TEPs) and circulating tumor DNA (ctDNA) for preoperative EC diagnosis, including histology determination.

Methods: TEPs from 295 subjects (53 EC patients, 38 patients with benign gynecologic conditions, and 204 healthy women) were RNA-sequenced. DNA sequencing data were obtained for 519 primary tumor tissues and 16 plasma samples. Artificial intelligence was applied to sample classification.

Results: Platelet-dedicated classifier yielded AUC of 97.5% in the test set when discriminating between healthy subjects and cancer patients. However, the discrimination between endometrial cancer and benign gynecologic conditions was more challenging, with AUC of 84.1%. ctDNA-dedicated classifier discriminated primary tumor tissue samples with AUC of 96% and ctDNA blood samples with AUC of 69.8%.

Conclusions: Liquid biopsies show potential in EC diagnosis. Both TEPs and ctDNA profiles coupled with artificial intelligence constitute a source of useful information. Further work involving more cases is warranted.

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