Cervical screening tests could one day pick up other cancers

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LJNovaScotia on Pixabay
LJNovaScotia on Pixabay

Cervical screening tests could be used to find ovarian and breast cancers, according to international researchers. The team developed a test that looks for epigenetic changes (changes in patterns of gene activity) in cervical screening samples. The team tested this technique, first with a group of about 1,100 women including 242 with ovarian cancer. They say the test was able to identify 71.4 per cent of women under 50 and 54.5 per cent over 50 who had ovarian cancer. In a second paper, the researchers performed a similar experiment where they say they were able to identify women with breast cancer among two cohorts.

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From: Springer Nature

Cancer: Cervical cells may aid the detection of ovarian and breast cancers

Cells collected during cervical cancer screening tests could be used to identify ovarian cancers, suggests a paper published in Nature Communications. A second paper reports the development of a test using cervical cells collected from routine screenings, which may be able to determine the presence of breast cancer. The findings, in small cohorts of women, may enable the earlier detection of both cancers.

Ovarian cancer is responsible for the largest proportion of deaths associated with gynaecological cancers. Currently, 75% of ovarian cancers are diagnosed at a late stage, when the tumours have spread, and being able to detect the disease earlier may improve treatment outcomes. Breast cancer is the most common cancer in females and is usually detected using mammography followed by a biopsy. Previous research has suggested that DNA changes could be used to predict the risk of developing these cancers.

Martin Widschwendter and colleagues used cervical cell samples collected from a cohort of 242 women with and 869 without ovarian cancer. The authors measured 14,000 epigenetic changes (molecular modifications that alter patterns of gene expression without the DNA itself being altered) in the screening samples. They identified a DNA methylation signature that could be used to identify or predict the presence of ovarian cancer. In the cohort, the methylation signature allowed the authors to identify 71.4% of women under 50 years of age and 54.5% of women over 50 years of age with ovarian cancers with 75% specificity. The findings were further validated in an additional cohort of women, where 47 had ovarian cancer and 227 did not, and found that women with higher scores may have an increased risk of ovarian cancer.

In a second study, the authors initially analysed epigenetic changes in cervical cell samples from 329 women with breast cancer with a poor prognosis and 869 women without breast cancer. They found they were able to identify women with breast cancer based on an epigenetic signature. They confirmed this finding in a smaller set of samples from 113 breast cancer patients and 225 women without breast cancer.

The authors indicate their findings suggest that using epigenetic signatures may aid in the detection of these cancers. However, the authors conclude that further research and large-scale prospective clinical trials are needed to determine whether these tests could predict the likelihood of woman developing either of these cancers.

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Research Springer Nature, Web page Paper 2. The URL will go live after the embargo ends
Journal/
conference:
Nature Communications
Research:Paper
Organisation/s: Universität Innsbruck, Austria
Funder: This study was funded by the European Union’s Horizon 2020 Research and Innovation Programme, H2020 FORECEE under Grant Agreement No. 634570 (M.W.), the European Union’s Horizon 2020 European Research Council Programme, H2020 BRCAERC under Grant Agreement No. 742432 (M.W.) as well as the charity, The Eve Appeal (https://eveappeal.org.uk/) (M.W.). We are most grateful to the participants of the FORECEE and BRCA-ERC studies and the management team, research nurses, interviewers, research assistants and other staff who have taken part in gathering the data for this study. The authors also wish to acknowledge the support from UCL Genomics (Dr Mark Kristiansen and his team) and the support of the National Institute for Health Research (NIHR) and the University College London Hospitals (UCLH) Biomedical Research Centre as well as of the Swedish Research Council Grant # 017-00932 and the Breast Cancer Now Tissue Bank for provision of tissue samples and data, and Dr Sally Smith for sample preparation.
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