Researchers at Cold Spring Harbor Laboratory (CSHL) are working on a project to find the genealogical connections between cancer and race or ethnicity. They have developed software that can accurately infer continental ancestry from tumor DNA and RNA. The software has shown over 95% accuracy in matching hybrid profiles to continental populations. The team hopes that this work will help clinicians develop new strategies for early cancer detection and personalized treatments. They are now working to achieve more regional specificity and test tumor samples of unknown ancestry. In collaboration with Northwell Health and SUNY Downstate Medical Center, they aim to further refine their software to infer ancestry of not only whole genomes but every individual sequence therein.
Researchers have developed software to accurately infer continental ancestry from tumor DNA and RNA, potentially helping in early cancer detection and personalized treatments. With over 95% accuracy, the team is now working on more regional specificity and refining their software for individual genomic sequences.
Could knowing where your ancestors came from be the key to better cancer treatments? Maybe, but where would that key fit? How can we trace cancer’s ancestral roots to modern-day solutions? For Cold Spring Harbor Laboratory (CSHL) Research Professor Alexander Krasnitz, the answers may lie deep within vast databases and hospital archives containing hundreds of thousands of tumor samples.
Krasnitz and CSHL Postdoctoral Fellow Pascal Belleau are working to reveal the genealogical connections between cancer and race or ethnicity. They’ve developed new software that accurately infers continental ancestry from tumor DNA and RNA. Their work may also help clinicians develop new strategies for early cancer detection and personalized treatments.
“Why do people of different races and ethnicities get sick at different rates with different types of cancer?” Krasnitz says. “They have different habits, living conditions, exposures—all kinds of social and environmental factors. But there may be a genetic component as well.”
Krasnitz’s team trained their software tools using hybrid DNA profiles. They created these profiles from cancerous and unrelated cancer-free genomes of a known background. They then tested the software’s performance against pancreatic, ovarian, breast, and blood cancer specimens from patients with known ancestry. The team found the software matched their hybrid profiles to continental populations with over 95% accuracy.
“We have a good model to build on,” Krasnitz says. “But very few individuals come from a single ancestry. We’re all mixed to some extent. So now we’re working to look deeper, test tumor samples of unknown ancestry, reveal ancestral mixtures, and achieve more regional specificity.” How specific? For now, think West Africa as opposed to East Africa.
Krasnitz and Belleau recently joined a colorectal cancer study in collaboration with Northwell Health and SUNY Downstate Medical Center. The study allows them to explore how colorectal cancer mutates genes in different ways depending on specific races or ethnicities. They hope to further refine their software to infer ancestry of not only whole genomes but every individual sequence therein.
“If we can identify more localized ancestries that are susceptible to different cancers or other aggressive diseases, it could help us pinpoint the specific part of the genome responsible and target it for treatment,” Belleau says.
Right now, a simple DNA swab can tell you where you came from and which diseases you stand to inherit. In the future, it might give you the means to beat them too.
Reference: “Genetic Ancestry Inference from Cancer-Derived Molecular Data across Genomic and Transcriptomic Platforms” by Pascal Belleau, Astrid Deschênes, Nyasha Chambwe, David A. Tuveson and Alexander Krasnitz, 13 December 2022, Cancer Research.
DOI: 10.1158/0008-5472.CAN-22-0682
Funding: Lustgarten Foundation, Cold Spring Harbor Laboratory, New York Genome Center, Simons Foundation, NIH/National Institutes of Health, Pershing Square Foundation, Simons Center for Quantitative Biology at Cold Spring Harbor Laboratory
Be the first to comment on "Ancestry Unlocks Secrets to Personalized Cancer Treatments"