On April 11, 2023 GC Genome Corporation, a leading genomic diagnostics company, reported the publication of a new study in Nature Communications, showcasing the company’s novel AI-based liquid biopsy technology (Press release, Korea Institute of Science and Technology Information, APR 11, 2023, View Source [SID1234629962]). The study highlights the unprecedented accuracy of the technology for cancer early detection and tissue-of-origin localization utilizing advanced AI algorithms to analyze mutation density and patterns of cell-free DNA (cfDNA) and epigenomes in collaboration with the Korea Advanced Institute of Science and Technology (KAIST).
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Noninvasive screening by cfDNA holds great promise for multi-cancer early detection. The cancer early detection of various types is an important part of cancer treatment since cancer has a better prognosis and survival rate when diagnosed and treated earlier[1].[2]. However, de novo detection of cancer, especially at early stages, remains challenging and the solution for this urgent need is being actively pursued by using cfDNA-based noninvasive cancer screening for Multi-Cancer Early Detection (MCED) and localization of cancer[3].
"Since cancer screening technologies are limited or premature, diagnostic tests are usually performed after symptoms arise, and early intervention opportunities are often missed, leaving few treatment options," said Dr. Jung Kyoon Choi, Department of Bio and Brain Engineering, KAIST. "We hope that our methods leveraging large-scale tumor genomes and epigenomes as reference data lay the groundwork for accurate cfDNA-based cancer diagnosis at early stages."
The Nature Communication study includes a total of 2,543 cancer patient samples and 1,241 normal control samples and describes an ensemble algorithm that incorporates genomic and epigenomic profiles of tumor tissues into a deep learning model. This model analyzes mutation distribution and chromatin organization in reference tumor tissues and uses them as model features to detect the existence of cancer and determine the type of cancer in cfDNA samples.
The technology has demonstrated promising results in detecting multiple types of cancer at an early stage. The technology has shown exceptional sensitivity, achieving a 91.1% performance rate based on a 95% specificity and a high level of accuracy, with an 81.7% success rate in predicting both the presence and type of cancer.
"These results suggest that the GC Genome AI-based cancer early detection technology could help reduce cancer deaths by offering a convenient, high-performing test to people," said Dr. Eun-Hae Cho, MD, Chief Technical Officer at GC Genome. "We will continue our research to improve accuracy and sensitivity and look forward to making our technology accessible to all cancer patients worldwide."