Quantifying partial pathological response rate in prostate cancer patients who underwent neoadjuvant chemotherapy using a novel morphometric approach
Accurate assessment of partial pathological response rate (ppRR) to neoadjuvant chemotherapy (NAT) is critical for assessing the efficacy of therapy and for optimal clinical management. Because of a lack of accurate estimation of baseline cancer burden, assessment of ppRR has never been attempted in prostate histologically. We presented a novel morphometric approach assessing ppRR in patients who underwent NAT and then correlated the ppRR with patients' outcomes. A control cohort consisted of 39 NAT-naïve Caucasian patients who had high-risk PCa (defined as Gleason Grade Group >2) and an adequate biopsy sample (defined as the size of the biopsy PCa area, including PCa epithelium and stroma >2 <sup>mm2</sup>). A study cohort included 26 patients with high-risk PCa (defined as clinical stage T3a or higher, serum PSA >20 ng/mL, or GGG of 4-5, or with oligometastatic disease) who underwent androgen deprivation therapy plus docetaxel. Using the PCa epithelial to stromal ratio (E/S) as a metric, surrogate BCB for the study cohort was predicted from the pre-treatment biopsy samples, and ppRR was calculated. Correlation analysis of patients' ppRR with progression-free survival was performed using ppRR >80% as a cut-off. Nine of the 26 patients from the study cohort experienced a significant response to NAT (ppRR > 80%) using the PCa E/S-based approach, and these patients had significantly better progression-free survival (<i>p</i> = 0.006). ppRR to NAT can be reliably assessed using PCa E/S as a surrogate metric from biopsy and RP samples, and ppRR can be used to predict patients' outcomes.
Authors
- David F. Jarrard (ORCID: https://orcid.org/0000-0001-8444-7165)
- Joshua M. Lang (ORCID: https://orcid.org/0000-0002-0943-8872)
- Wei Huang (ORCID: https://orcid.org/0000-0003-0813-4188)
- Irene M. Ong (ORCID: https://orcid.org/0000-0002-9353-6941)
- Steve Y. Cho (ORCID: https://orcid.org/0000-0003-2724-7778)
- Sean J. McIlwain (ORCID: https://orcid.org/0000-0002-3820-8400)
- Erika Héninger (ORCID: https://orcid.org/0000-0003-0166-9972)
- Christos E. Kyriakopoulos (ORCID: https://orcid.org/0000-0002-6452-7405)
- Shane A. Wells (ORCID: https://orcid.org/0000-0002-1067-6624)
- Huihua Li
- Brian F. G. Johnson
- Alejandro Roldan Alzate
- Philipos Tsourkas
Institutions
- University of Wisconsin–Madison (US)
- Madison Area Technical College (US)
- Wisconsin Division of Public Health (US)
- Michigan State University (US)
Publication Details
- Journal
- Journal of Pathology Informatics
- Published
- 2025-11-01
- DOI
- https://doi.org/10.1016/j.jpi.2025.100528
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00