Comprehensive Library Generation for Identification and Quantification of Endometrial Cancer Protein Biomarkers in Cervico-Vaginal Fluid

Comprehensive Library Generation for Identification and Quantification of Endometrial Cancer Protein Biomarkers in Cervico-Vaginal Fluid

Endometrial cancer is the most common gynaecological malignancy in high-income countries and its incidence is rising. Early detection, aided by highly sensitive and specific biomarkers, has the potential to improve outcomes as treatment can be provided when it is most likely to effect a cure. Sequen...

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Bibliographic Details
Main Authors: Kelechi Njoku, Davide Chiasserini, Bethany Geary, Andrew Pierce, Eleanor R. Jones, Anthony D. Whetton, Emma J. Crosbie
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Cancers
Subjects:
endometrial cancer
spectral library
cervico-vaginal fluid
non-invasive
proteomics
protein
Online Access:https://www.mdpi.com/2072-6694/13/15/3804

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