Sasha Main and Mathieu Lupien: cfDNA Methylation Profiling Enables Detection and Classification of Breast Cancer
Sasha Main and Mathieu Lupien

Sasha Main and Mathieu Lupien: cfDNA Methylation Profiling Enables Detection and Classification of Breast Cancer

Sasha Main, Graduate Student at The University of Toronto, shared a post by Mathieu Lupien, Fellow at The Royal Society of Canada, on LinkedIn, adding:

Excited to share some of our latest work, now published in Cancer Research.

This paper was another chapter from my PhD thesis, and it is so great to see it out there. In this study, we used publicly available 450K methylation data to develop breast cancer methylation signatures, then translated them into the cell-free DNA space for advanced breast cancer detection, distinction from multiple other cancer types, and estrogen receptor status classification. A goal of this work was also to make the signatures transparent and accessible, so they are available in the supplementary data for others to explore and build on.

This project was the result of a lot of perseverance, many thoughtful discussions, and a huge collaborative team effort. Thank you to my co-first authors Mitchell Elliott and Althaf Singhawansa – I loved working with you both and am so grateful for everything you brought to this project.

I am also thankful to David Cescon and Scott Bratman for their mentorship, guidance, and support throughout this work. And of course, thank you to our entire team of collaborators and co-authors for their many contributions, including Jinfeng Zou, Yong Zeng, Nicholas Cheng, Celeste Yu, John Hilton, Philip Awadalla, Hansen He, Philippe Bedard, and Mathieu Lupien.

Very happy to share this one! Special thanks to Mathieu for posting first and prompting me to share it as well.”

Quoting Mathieu Lupien’s post:

“Congratulations to Sasha Main and everyone involved in this latest study published in Cancer Research.

This work highlights the power of liquid biopsy-based epigenomic profiling to capture clinically meaningful information from circulating cell-free DNA to complement tissue biopsies in the detection and molecular classification of advanced breast tumours.

This study adds to the growing support for the inclusion of epigenomic assays in subtype-directed cancer care.
Thankful to David Cescon, Scott Bratman, Philippe Bedard, Hansen He, Philip Awadalla, and the rest of the team for allowing my team to contribute to this important work.”

 

Title: Circulating Cell-Free DNA Methylation Profiling Enables Detection, Distinction, and Estrogen Receptor Status Classification of Advanced Breast Cancer

Authors: Sasha C. Main, Mitchell J. Elliott, Althaf Singhawansa, Jinfeng Zou, Yong Zeng, Nicholas Cheng, Celeste Yu, John F. Hilton, Philip Awadalla, Housheng H. He, Philippe L. Bedard, Mathieu Lupien, Scott V. Bratman, David W. Cescon

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Sasha Main and Mathieu Lupien: cfDNA Methylation Profiling Enables Detection and Classification of Breast Cancer

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