Bridging tumor growth dynamics and survival in preclinical oncology drug development – a Tumor Growth Inhibition and Time-to-Event (TGI-TTE) modeling framework
Kumar Kulldeep Niloy, Jamie Horn, Nazmul Hasan Bhuiyan, Suhas S Bhosale, Khaled A Shaaban, Thomas E Prisinzano, Jon S Thorson, Jurgen Rohr, Markos Leggas · 2026
Read Bridging tumor growth dynamics and survival in preclinical oncology drug development – a Tumor Growth Inhibition and Time-to-Event (TGI-TTE) modeling framework by Kumar Kulldeep Niloy, Jamie Horn, Nazmul Hasan Bhuiyan, Suhas S Bhosale, Khaled A Shaaban, Thomas E Prisinzano, Jon S Thorson, Jurgen Rohr, Markos Leggas (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/pmc-13570819.txt.
Description
Kumar Niloy and eight co-authors build a modeling framework that links tumor growth dynamics to survival in preclinical cancer drug work. The test drug is a preclinical agent for Ewing sarcoma, a bone cancer of the young. Data come from mouse xenograft studies across a wide dose range.
A classic tumor growth inhibition model estimates individual growth rates for each mouse. A parametric time to event model then describes survival across dose groups. Growth metrics and average drug exposure enter as covariates of the survival distribution. Both models fit well, with precise parameter estimates and survival curves that match observed data. The linked framework helps teams translate early tumor data into survival expectations for dose choice.
Catalog record
| CREATOR | Kumar Kulldeep Niloy, Jamie Horn, Nazmul Hasan Bhuiyan, Suhas S Bhosale, Khaled A Shaaban, Thomas E Prisinzano, Jon S Thorson, Jurgen Rohr, Markos Leggas |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 26 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |