Abstract
We integrated untargeted serum metabolomics using high-resolution mass spectrometry with data analysis using machine learning algorithms to accurately detect early stages of the women specific cancers of breast, endometrium, cervix, and ovary across diverse age-groups and ethnicities. A two-step approach was employed wherein cancer-positive samples were first identified as a group. A second multi-class algorithm then helped to distinguish between the individual cancers of the group. The approach yielded high detection sensitivity and specificity, highlighting its utility for the development of multi-cancer detection tests especially for early-stage cancers.
Highlights
We integrated untargeted serum metabolomics using high-resolution mass spectrometry with data analysis using machine learning algorithms to accurately detect early stages of the women specific cancers of breast, endometrium, cervix, and ovary across diverse age-groups and ethnicities
Endometrial cancer accounts for about 5% and 2% of global cancer incidence and mortality among w
We describe an integrated method for the simultaneous detection of early stages of the four most prominent women-specific cancers
Summary
We integrated untargeted serum metabolomics using high-resolution mass spectrometry with data analysis using machine learning algorithms to accurately detect early stages of the women specific cancers of breast, endometrium, cervix, and ovary across diverse age-groups and ethnicities. The approach yielded high detection sensitivity and specificity, highlighting its utility for the development of multi-cancer detection tests especially for early-stage cancers. Cancer is the second most important cause of death, with about 7 million new cases, and over 3.5 million deaths, being recorded each y ear. Breast cancer is the most frequently diagnosed and accounts for 25% of cancer cases, along with 15% of cancer-related deaths among women across the world. Cervical cancer is the fourth most frequently diagnosed cancer in women, with an estimate of over 500,000 cases w. Endometrial cancer accounts for about 5% and 2% of global cancer incidence and mortality among w
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