Detection of endometrial cancer in cervico-vaginal fluid and blood plasma: leveraging proteomics and machine learning for biomarker discovery

Njoku, Kelechi; Pierce, Andrew; Chiasserini, Davide; Geary, Bethany; Campbell, Amy E.; Kelsall, Janet; Reed, Rachel; Geifman, Nophar; Whetton, Anthony D.; Crosbie, Emma J.

doi:10.1016/j.ebiom.2024.105064

eBioMedicine

2024

DOI: 10.1016/j.ebiom.2024.105064

|View full text |Cite

Detection of endometrial cancer in cervico-vaginal fluid and blood plasma: leveraging proteomics and machine learning for biomarker discovery

Kelechi Njoku,

Andrew Pierce,

Davide Chiasserini

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article3

Relationship

Self Cite0

Independent3

Authors

Journals

Cited by 3 publications

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Exploring the protein signature of endometrial cancer: A comprehensive review through diverse samples and mass spectrometry-based proteomics

Yildirim,

Yildiz,

Karaer

et al. 2024

European Journal of Surgical Oncology

View full text Add to dashboard Cite

Exploring the protein signature of endometrial cancer: A comprehensive review through diverse samples and mass spectrometry-based proteomics

Yildirim,

Yildiz,

Karaer

et al. 2024

European Journal of Surgical Oncology

View full text Add to dashboard Cite

Emerging methods and techniques for cancer biomarker discovery

Dakal,

Dhakar,

Beura

et al. 2024

Pathology - Research and Practice

View full text Add to dashboard Cite

Advancements in Minimally Invasive Techniques and Biomarkers for the Early Detection of Endometrial Cancer: A Comprehensive Review of Novel Diagnostic Approaches and Clinical Implications

Asaturova,

Zaretsky,

Rogozhina

et al. 2024

JCM

View full text Add to dashboard Cite

This review evaluates the advances in the early detection and diagnosis of endometrial cancer (EC), emphasizing the growing importance of minimally invasive techniques and novel biomarkers. Current diagnostic protocols for EC rely heavily on invasive procedures such as transvaginal ultrasound (TVU), hysteroscopy, and endometrial biopsy, which, although effective, can be overly burdensome for patients and inefficient for asymptomatic or low-risk populations. As there is no consensus on EC screening in high-risk or general populations, recent studies have explored alternative methods using biofluids and genomic biomarkers to improve sensitivity and specificity and facilitate access for patients. This review summarizes findings on DNA methylation markers, circulating tumor-derived nucleic acids, and the potential of liquid biopsy approaches for the early detection of EC. These innovations may not only streamline screening but also reduce the need for invasive procedures. This review highlights the potential of these biomarkers to be integrated seamlessly into the existing cervical cancer screening programs, which could transform screening methods for endometrial cancer and support the development of personalized, less invasive diagnostic procedures.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Detection of endometrial cancer in cervico-vaginal fluid and blood plasma: leveraging proteomics and machine learning for biomarker discovery

Cited by 3 publications

References 37 publications

Exploring the protein signature of endometrial cancer: A comprehensive review through diverse samples and mass spectrometry-based proteomics

Exploring the protein signature of endometrial cancer: A comprehensive review through diverse samples and mass spectrometry-based proteomics

Emerging methods and techniques for cancer biomarker discovery

Advancements in Minimally Invasive Techniques and Biomarkers for the Early Detection of Endometrial Cancer: A Comprehensive Review of Novel Diagnostic Approaches and Clinical Implications

Contact Info

Product

Resources

About