Computational Tool ⁤Exposes ⁢Hidden Cancer DNA Changes⁤ That ‍May Drive‌ Treatment Resistance

‍Updated June ‌22, 2025

Cancer DNA Changes & Treatment Resistance: New Tool
Credit: Unsplash/CC0 Public Domain

A new computational tool ‌developed by Mayo Clinic researchers is‌ designed to ‌detect tough-to-find genetic ‌changes ‌in cancer cells. These structural⁣ alterations within a tumor’s DNA can promote aggressive ‌growth and resist standard testing, particularly when tissue samples are limited or degraded.

The ‌tool, called BACDAC, illuminates these previously obscured genomic⁢ patterns. It uses DNA sequencing to analyze the entire genome,‍ even in samples with low purity or coverage, to identify signs of genomic instability. Researchers believe BACDAC can help clinicians better predict tumor behavior ⁣and personalize treatment strategies.

Detecting Chromosome Instability

BACDAC focuses​ on ⁢ploidy,‌ the number of complete chromosome sets in a cell. Healthy human cells have two sets (46 chromosomes), but ⁤cancer cells often exhibit gains or losses, disrupting this​ balance and fostering uncontrolled growth.

In a study published in ‍ Genome Biology, the research team used BACDAC to analyze over 650 tumors⁣ across 12 cancer types. The tool detected instances of whole-genome doubling,where a⁤ tumor duplicates its entire DNA. This ploidy abnormality is often associated with aggressive cancer ‌behavior and treatment resistance.

“This tool lets⁤ us see a ⁣layer of the ​genome that’s ‍been invisible‍ until ⁣now,” said Dr.George Vasmatzis, a lead author​ of​ the study and co-director of Mayo Clinic’s Biomarker Discovery Program. “We’ve spent decades studying the ⁣biology of genomic instability. This is the first time we’ve been able ‌to⁤ translate that knowledge into a⁢ tool that works at ‍scale.”

BACDAC also generates a visual summary of ​a ⁤tumor’s genomic landscape. The Constellation Plot provides an intuitive⁤ view of chromosome stability, aiding researchers and pathologists in interpreting results.

The Mayo Clinic team ‍plans to validate ⁤BACDAC further and develop ⁣it⁢ into⁢ a clinically deployable diagnostic tool, potentially informing treatment decisions by providing a clearer picture of a tumor’s‍ structural changes.

What’s next

Future research⁤ will focus on integrating BACDAC into clinical workflows ​to improve ⁢cancer diagnosis⁤ and treatment planning.