| Title: |
Detecting endometrial cancer by blood spectroscopy: A diagnostic cross-sectional study |
| Authors: |
Paraskevaidi, Maria; Morais, Camilo L.M.; Ashton, Katherine; Stringfellow, Helen; McVey, Rhona J; Ryan, Neil; O'Flynn, Helena; Sivalingam, Vanitha; Kitson, Sarah; Mackintosh, Michelle; Derbyshire, Abigail; Pow, Cecilia; Raglan, Olivia; Lima, Kassio M. G.; Kyrgiou, Maria; Martin-Hirsch, Pierre L.; Martin, Francis; Crosbie, Emma |
| Source: |
Paraskevaidi, M, Morais, C L M, Ashton, K, Stringfellow, H, McVey, R J, Ryan, N, O'Flynn, H, Sivalingam, V, Kitson, S, Mackintosh, M, Derbyshire, A, Pow, C, Raglan, O, Lima, K M G, Kyrgiou, M, Martin-Hirsch, P L, Martin, F & Crosbie, E 2020, 'Detecting endometrial cancer by blood spectroscopy: A diagnostic cross-sectional study', Cancers, vol. 12, no. 5, 1256. https://doi.org/10.3390/cancers12051256 |
| Publication Year: |
2020 |
| Collection: |
The University of Manchester: Research Explorer - Publications |
| Subject Terms: |
blood diagnostics; endometrial cancer; screening; spectroscopy; ResearchInstitutes_Networks_Beacons/mcrc; name=Manchester Cancer Research Centre |
| Description: |
Endometrial cancer is the sixth most common cancer in women with a rising incidence worldwide. Current approaches for the diagnosis and screening of endometrial cancer are invasive, expensive and of moderate diagnostic accuracy, limiting their clinical utility. There is a need for cost-effective and minimally invasive biomarkers to facilitate the early detection and timely management of endometrial cancer. We analysed blood plasma samples in a cross-sectional diagnostic accuracy study of women with endometrial cancer (n=342), its precursor lesion atypical hyperplasia (n=68) and healthy controls (n=242, total n=652) using attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy and machine learning algorithms. We show that blood-based infrared spectroscopy has the potential to detect endometrial cancer with 87% sensitivity and 78% specificity. Its accuracy is highest for type I endometrial cancer, the most common subtype, and for atypical hyperplasia, with sensitivities of 91% and 100%, and specificities of 81% and 88%, respectively. Our large-cohort study shows that a simple blood test could enable the early detection of endometrial cancer of all stages in symptomatic women and provide the basis of a screening tool in high-risk groups. Such a test will not only differentially diagnose endometrial cancer but also detect its precursor lesion atypical hyperplasia, the early recognition of which may allow fertility-sparing management and cancer prevention. |
| Document Type: |
article in journal/newspaper |
| Language: |
English |
| ISSN: |
2072-6694 |
| Relation: |
info:eu-repo/semantics/altIdentifier/pissn/2072-6694 |
| DOI: |
10.3390/cancers12051256 |
| Availability: |
https://research.manchester.ac.uk/en/publications/912741aa-3f3b-49d1-99b3-179dd2ffa6df; https://doi.org/10.3390/cancers12051256; https://www.scopus.com/pages/publications/85085145689 |
| Rights: |
info:eu-repo/semantics/openAccess ; http://creativecommons.org/licenses/by/4.0/ |
| Accession Number: |
edsbas.F6AF1DA3 |
| Database: |
BASE |