Leveraging tumor dynamics to discover mutations influencing progression and treatment response for precision oncology
Ella Petter, Jaclyn LoPiccolo, Stefan Groha, Richard Border, Bogdan Pasaniuc, Kenneth L Kehl, Noah Zaitlen, Alexander Gusev · 2026
Read Leveraging tumor dynamics to discover mutations influencing progression and treatment response for precision oncology by Ella Petter, Jaclyn LoPiccolo, Stefan Groha, Richard Border, Bogdan Pasaniuc, Kenneth L Kehl, Noah Zaitlen, Alexander Gusev (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13523221.txt.
Description
Ella Petter and colleagues use tumor size dynamics to find mutations that shape treatment response in lung cancer in a 2026 study. Standard genetic studies rely on survival outcomes, while clinicians in practice follow how tumors shrink and grow on scans. A new framework was built to model repeated tumor readings from roughly seventeen thousand radiology reports at a major cancer center.
The method found twenty-seven mutations linked to uneven response to common treatments, with both protective and harmful effects. Two findings were validated in an external drug sensitivity screen. Thirteen further mutations tracked rates of growth and response across the whole treatment course, nine of them invisible to conventional survival models. Results held in an advanced-stage subgroup, supporting tumor dynamics as a complement to survival analysis.
Catalog record
| CREATOR | Ella Petter, Jaclyn LoPiccolo, Stefan Groha, Richard Border, Bogdan Pasaniuc, Kenneth L Kehl, Noah Zaitlen, Alexander Gusev |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 77796 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |