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Diagnostic accuracy of liquid biopsy in endometrial cancer

ABSTRACT: Diagnostic accuracy of liquid biopsy in endometrial cancer

PROVIDER: PRJNA767010 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR16097400.fastq.gz	Fastqsanger.gz
	SRR16097401.fastq.gz	Fastqsanger.gz
	SRR16097402.fastq.gz	Fastqsanger.gz
	SRR16097364.fastq.gz	Fastqsanger.gz
	SRR16097365.fastq.gz	Fastqsanger.gz

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Diagnostic accuracy of liquid biopsy in endometrial cancer

Project description:INTRODUCTION. Liquid biopsies are a minimally invasive collection of a patient body fluid sample. In oncology, they offer several advantages compared to traditional tissue biopsies. However, 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. MATERIALS AND METHODS. TEPs from 297 subjects (53 EC patients, 40 patients with benign gynecologic conditions and 204 healthy women) were RNA-sequenced. DNA sequencing was performed in 519 primary tumor tissue samples and in16 plasma samples. Artificial intelligence was applied to sample classification. RESULTS. Platelet-dedicated classifier yielded AUC of 93.1% in test set when discriminating between healthy subjects and cancer patients. However, the discrimination between endometrial cancer and benign gynecologic conditions was relatively low, with AUC of 60.7%. ctDNA-dedicated classifier discriminated primary tumor tissue samples with AUC of 91.4% and ctDNA blood samples with AUC of 87.5%. 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.

2021-12-01 | GSE184904 | GEO

Diagnostic Accuracy of Liquid Biopsy in Endometrial Cancer.

Project description:BackgroundLiquid 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.MethodsTEPs 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.ResultsPlatelet-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%.ConclusionsLiquid 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.

| S-EPMC8616122 | biostudies-literature

Multi-parametric liquid biopsy approach

Project description:Multi-parametric liquid biopsy approach

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Early Detection of Colorectal Cancer Using Liquid Biopsy

Project description:Primary outcome(s): Diagnostic accuracy of colorectal cancer by liquid biopsy Study Design: Observational Study Model : Case-control, Time Perspective : Cross-sectional, Enrollment : 500, Biospecimen Retention : Collect & Archive- Sample with DNA, Biospecimen Description : Whole blood, colon tissue

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Retinoblastoma Aqueous Humor Liquid Biopsy Repository

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Retinoblastoma Aqueous Humor Liquid Biopsy Repository

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Multiomic neuropathology improves diagnostic accuracy in pediatric neuro-oncology

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Tumor cell-based liquid biopsy using high-throughput microfluidic enrichment of entire leukapheresis product

Project description:Circulating Tumor Cells (CTCs) encompass multiple analytes, interrogated by sampling blood from patients with cancer. However, the clinical utility of tumor cell-based liquid biopsy has proven to be limited since CTCs are rare, and current technologies cannot process larger blood volumes required to isolate a sufficient number of tumor cells. We have described a high-throughput microfluidic prototype utilizing high-flow channels and amplification of cell sorting forces through magnetic lenses. Here, we apply this technology to analyze patient-derived leukapheresis products, interrogating a mean blood volume of 5.83 liters from patients with metastatic cancer and achieving a median of 2,799 CTCs per patient. Isolation of many CTCs from individual patients enables characterization of their morphological and molecular heterogeneity, including cell and nuclear size and RNA expression. It also allows robust detection of gene copy number variation (CNV), a definitive cancer marker with potential diagnostic applications. High-volume microfluidic enrichment of CTCs constitutes a new dimension in liquid biopsies.

2024-08-27 | GSE255889 | GEO

Serum lipidomics study looking for specific endometrial polyps biomarkers distinguishing from endometrial cancer or hyperplasia

Project description:<p>Endometrial diseases are common gynecological diseases that disorder women of childbearing age and perimenopausal women, including endometrial polyps (EP), endometrial cancer (EC), and endometrial hyperplasia (EH). Clinically, biopsy or imaging methods are usually used to screen and diagnose endometrial diseases, but due to their invasiveness and heterogeneity, a noninvasive, convenient, objective and accurate biomarker is needed for the differential diagnosis of EP and EC or EH. In the present study, serum samples from 396 patients with endometrial disease and 225 healthy volunteers were analyzed by UPLC-Q-TOF/MS non-targeted lipidomics. A combination of multivariate (Orthogonal partial least-squares discriminant analysis) and univariate (Student t-test) analyses were used to identify and qualify 6, 8, and 7 potential biomarkers in serum from patients with EP, EC, and EH, respectively. With the aid of logistic regression algorithm and receiver operating characteristic (ROC) curve analysis, A biomarker panel including four specific EP biomarkers, 6-Keto-PGF1α, PA(37:4), LysoPC(20:1) and PS (36:0), had good classification and diagnostic ability in distinguishing EP from EC or EH. The biomarker panel can be used as a rapid diagnostic method to assist imaging examination to effectively differentially diagnose endometrial diseases, and provide a reference for clinicians in the identification and diagnosis of endometrial diseases. </p>

2022-01-14 | MTBLS3444 | MetaboLights

Pre-analytical factors affecting the establishment of a single tube assay for multi-parameter liquid biopsy detection in melanoma patients

Project description:NGS liquid biopsy sequencing of miRNAs in total plasma and EV-associated miRNAs

2020-03-10 | GSE143231 | GEO