Exploratory unsupervised machine learning of angiogenesis biomarkers in a phase II advanced cervical cancer trial of radiochemotherapy with or without neoadjuvant chemotherapy
Baseline biomarker levels were not predictive of long-term outcomes. In contrast, CRT alone modulated key angiogenic biomarkers, and post-CRT biomarker changes were associated with improved survival. Such biomarker alterations were not observed following NAC, which was not associated with clinical benefit in this study. These findings underscore the value of dynamic biomarker evaluation and highlight how treatment strategies differentially impact biomarker profiles in advanced cervical cancer.
Authors
- Laura Sichero (ORCID: https://orcid.org/0000-0002-7999-5818)
- Maria Del Pilar Estevez-Diz (ORCID: https://orcid.org/0000-0003-3176-9747)
- THIAGO RODRIGUES DA COSTA
- Roberto Jun Arai (ORCID: https://orcid.org/0000-0001-5617-1042)
- Renata Colombo Bonadio (ORCID: https://orcid.org/0000-0001-5818-922X)
- Hugo P. Monteiro (ORCID: https://orcid.org/0000-0003-1194-670X)
- Silvaneide Ferreira
- Arnold Stern
Institutions
- Instituto do Câncer do Estado de São Paulo (BR)
- D’Or Institute for Research and Education (BR)
- New York University (US)
- Universidade Federal de São Paulo (BR)
Publication Details
- Journal
- Clinics
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1016/j.clinsp.2025.100723
- Primary Topic
- Angiogenesis and VEGF in Cancer
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo