Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer

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 e...

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Autores principales:	Marta Łukasiewicz, Krzysztof Pastuszak, Sylwia Łapińska-Szumczyk, Robert Różański, Sjors G. J. G. In ‘t Veld, Michał Bieńkowski, Tomasz Stokowy, Magdalena Ratajska, Myron G. Best, Thomas Würdinger, Anna J. Żaczek, Anna Supernat, Jacek Jassem
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	endometrial cancer tumor educated platelets circulating tumor DNA molecular markers liquid biopsy artificial intelligence Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
Acceso en línea:	https://doaj.org/article/98e457b86fcb4a24a353e7b87bdcd118
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spelling	oai:doaj.org-article:98e457b86fcb4a24a353e7b87bdcd1182021-11-25T17:03:26ZDiagnostic Accuracy of Liquid Biopsy in Endometrial Cancer10.3390/cancers132257312072-6694https://doaj.org/article/98e457b86fcb4a24a353e7b87bdcd1182021-11-01T00:00:00Zhttps://www.mdpi.com/2072-6694/13/22/5731https://doaj.org/toc/2072-6694Background: 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.Marta ŁukasiewiczKrzysztof PastuszakSylwia Łapińska-SzumczykRobert RóżańskiSjors G. J. G. In ‘t VeldMichał BieńkowskiTomasz StokowyMagdalena RatajskaMyron G. BestThomas WürdingerAnna J. ŻaczekAnna SupernatJacek JassemMDPI AGarticleendometrial cancertumor educated plateletscirculating tumor DNAmolecular markersliquid biopsyartificial intelligenceNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ENCancers, Vol 13, Iss 5731, p 5731 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	endometrial cancer tumor educated platelets circulating tumor DNA molecular markers liquid biopsy artificial intelligence Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282
spellingShingle	endometrial cancer tumor educated platelets circulating tumor DNA molecular markers liquid biopsy artificial intelligence Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Marta Łukasiewicz Krzysztof Pastuszak Sylwia Łapińska-Szumczyk Robert Różański Sjors G. J. G. In ‘t Veld Michał Bieńkowski Tomasz Stokowy Magdalena Ratajska Myron G. Best Thomas Würdinger Anna J. Żaczek Anna Supernat Jacek Jassem Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer
description	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.
format	article
author	Marta Łukasiewicz Krzysztof Pastuszak Sylwia Łapińska-Szumczyk Robert Różański Sjors G. J. G. In ‘t Veld Michał Bieńkowski Tomasz Stokowy Magdalena Ratajska Myron G. Best Thomas Würdinger Anna J. Żaczek Anna Supernat Jacek Jassem
author_facet	Marta Łukasiewicz Krzysztof Pastuszak Sylwia Łapińska-Szumczyk Robert Różański Sjors G. J. G. In ‘t Veld Michał Bieńkowski Tomasz Stokowy Magdalena Ratajska Myron G. Best Thomas Würdinger Anna J. Żaczek Anna Supernat Jacek Jassem
author_sort	Marta Łukasiewicz
title	Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer
title_short	Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer
title_full	Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer
title_fullStr	Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer
title_full_unstemmed	Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer
title_sort	diagnostic accuracy of liquid biopsy in endometrial cancer
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/98e457b86fcb4a24a353e7b87bdcd118
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Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer

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