Evidence map›Paper›PMID 40386257›Full record

ArticleTranslational cancer research2025

Prognostic significance of chemotherapy response score in predicting outcomes for high-grade serous ovarian carcinoma patients undergoing neoadjuvant chemotherapy.

Jing Liu, Yanwen Song, Qin Liu, Li Li, Junping Pan, Lan Luo, Shitao Zhu, Dongmei Wu, Dan Hu, Qin Xu

Abstract read
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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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Jing Liu *Department of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Yanwen Song *Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Qin Liu *Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China.
Li LiDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Junping PanDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Lan LuoDepartment of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Shitao ZhuCollege of Computers and Data Science, Fuzhou University, Fuzhou, China.
Dongmei WuDepartment of Gynecology, The Second People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine, Fuzhou, China.
Dan HuDepartment of Pathology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.
Qin XuDepartment of Gynecology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Chemotherapy response score (CRS)high-grade serous ovarian cancer (HGSOC)neoadjuvant chemotherapy (NACT)nomogramprognostic

Identifiers

PMID40386257
PMCPMC12079240

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.