ArticleTranslational cancer research2025
Prognostic significance of chemotherapy response score in predicting outcomes for high-grade serous ovarian carcinoma patients undergoing neoadjuvant chemotherapy.
Article in Translational cancer research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: The chemotherapy response score (CRS) evaluates the response to neoadjuvant chemotherapy (NACT) in high-grade serous ovarian cancer (HGSOC). This study aimed to develop a prognostic nomogram combining CRS and clinical characteristics to improve outcome predictions for NACT-treated patients. Methods: We retrospectively analyzed 271 HGSOC patients who received NACT. Univariate and multivariate regression analyses were conducted to identify independent prognostic factors, which were then used to construct a nomogram. The nomogram's performance was evaluated using the concordance index (C-index), calibration plots, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). Results: Patients were randomly divided into the training cohort (n=181) and validation cohort (n=90). Cox regression analysis identified debulking status, CRS, and post-adjuvant chemotherapy cancer antigen 125 (PACT-CA125) levels as independent prognostic factors, which were incorporated into the nomogram. The nomogram demonstrated C-indices of 0.735 and 0.730 in the training and validation cohorts, respectively. The ROC curves, calibration plots, and DCA confirmed the nomogram's strong predictive performance. Notably, longer progression-free survival was observed in patients with <3 cycles of adjuvant chemotherapy in low-risk groups, while similar findings were not obtained in the high-risk group. Conclusions: This study developed a novel prognostic nomogram incorporating debulking status, CRS and PACT-CA125 levels for NACT-treated HGSOC patients. It serves as a valuable tool for personalized treatment planning and survival assessment, assisting clinicians in making individualized decisions.
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