Principal Investigator

Xianghong Jasmine
Zhou
Awardee Organization

University Of California Los Angeles
United States

Fiscal Year
2024
Activity Code
U01
Early Stage Investigator Grants (ESI)
Not Applicable
Project End Date

Multi-cancer early detection using cell-free DNA methylome analysis

Detecting cancer early is the best way to fight against cancer. The development of the Multi-Cancer Early Detection (MCED) liquid biopsy tests holds great promise for integrating early cancer detection into routine clinical care. However, the current MCED tests have unsatisfactory performance for early-stage cancers. Recently, we have developed a sensitive and cost-effective technology, named cell-free DNA Methylome Sequencing (cfMethyl-Seq), which uses the cell-free DNA methylome for early cancer detection. cfMethyl-Seq provides >12-fold enrichment over whole genome bisulfite sequencing in CpG islands. We performed the proofof-principle study by applying cfMethyl-seq to a cohort of colon, liver, lung, and stomach cancer patients and controls, and obtained promising results in detecting and locating these cancer types. Here, we will further improve the cfMethyl-seq technology and apply it to detect and locate colon, gastric, liver, and lung cancer. We will validate this MCED test in multiple clinical cohorts. Our multidisciplinary team proposes the following aims: (1) Continued improvement of the cfMethyl-seq assay for early cancer detection. (2) Continued improvement of our computational method to analyze the cfDNA methylome assay data. (3) Clinically validate the cfDNA Methylome assay as an MCED assay with colon/gastric/liver/lung cancers as the first indications. (4) Contribute to Collaborative Trans-consortium Activities. We have a long-standing collaboration with the industry partner, EarlyDiagnostics, which will optimize the cfMethyl-seq assay to facilitate its clinical adoption and implement the computational algorithm in a secure cloud computing platform to facilitate data sharing and decentralized testing.

Publications

  • Li S, Li W, Liu B, Krysan K, Dubinett SM. Noninvasive Lung Cancer Subtype Classification Using Tumor-Derived Signatures and cfDNA Methylome. Cancer research communications. 2024 Jul 1;4(7):1738-1747. PMID: 38856716
  • Bresalier RS, Senore C, Young GP, Allison J, Benamouzig R, Benton S, Bossuyt PMM, Caro L, Carvalho B, Chiu HM, Coupé VMH, de Klaver W, de Klerk CM, Dekker E, Dolwani S, Fraser CG, Grady W, Guittet L, Gupta S, Halloran SP, Haug U, Hoff G, Itzkowitz S, Kortlever T, Koulaouzidis A, Ladabaum U, Lauby-Secretan B, Leja M, Levin B, Levin TR, Macrae F, Meijer GA, Melson J, O'Morain C, Parry S, Rabeneck L, Ransohoff DF, Sáenz R, Saito H, Sanduleanu-Dascalescu S, Schoen RE, Selby K, Singh H, Steele RJC, Sung JJY, Symonds EL, Winawer SJ, Members of the World Endoscopy Colorectal Cancer Screening New Test Evaluation Expert Working Group. An efficient strategy for evaluating new non-invasive screening tests for colorectal cancer: the guiding principles. Gut. 2023 Oct;72(10):1904-1918. Epub 2023 Jul 18. PMID: 37463757